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Search Results (1,280)

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19 pages, 9368 KiB  
Article
On the Effect of Gas Content in Centrifugal Pump Operations with Non-Newtonian Slurries
by Nicola Zanini, Alessio Suman, Mattia Piovan and Michele Pinelli
Fluids 2025, 10(1), 12; https://doi.org/10.3390/fluids10010012 - 8 Jan 2025
Abstract
Non-Newtonian fluids are widespread in industry, e.g., biomedical, food, and oil and gas, and their rheology plays a fundamental role in choosing the processing parameters. Centrifugal pumps are widely employed to ensure the displacement of a huge amount of fluids due to their [...] Read more.
Non-Newtonian fluids are widespread in industry, e.g., biomedical, food, and oil and gas, and their rheology plays a fundamental role in choosing the processing parameters. Centrifugal pumps are widely employed to ensure the displacement of a huge amount of fluids due to their robustness and reliability. Since the pump performance is usually provided by manufacturers only for water, the selection of a proper pump to handle non-Newtonian fluids may prove very tricky. On-field experiences in pump operations with non-Newtonian slurries report severe head and efficiency drops, especially in part-load operations, whose causes are still not fully understood. Several models are found in the literature to predict the performance of centrifugal pumps with this type of fluids, but a lack of reliability and generality emerges. In this work, an extensive experimental campaign is carried out with an on-purpose test bench to investigate the effect of non-Newtonian shear-thinning fluids on the performance of a small commercial centrifugal pump. A dedicated experimental campaign is conducted to study the causes of performance drops. The results allow to establish a relationship between head and efficiency drops with solid content in the mixture. Sudden performance drops and unstable operating points are detected in part-load operations and the most severe drops are detected with the higher kaolin content in the mixture. Performance drop investigation allows to ascribe performance drop to gas-locking phenomena. Finally, a critical analysis is proposed to relate the resulting performance with both fluids’ rheology and the gas fraction trapped in the fluid. The results here presented can be useful for future numerical validation and predicting performance models. Full article
(This article belongs to the Special Issue Advances in Computational Mechanics of Non-Newtonian Fluids)
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<p>Test rig sketch.</p>
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<p>Loop configurations—(<b>a</b>) Open loop; (<b>b</b>) Closed loop.</p>
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<p>Centrifugal pump tested.</p>
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<p>Kaolin SEM analysis.</p>
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<p>Kaolin rheology characterization.</p>
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<p>Bubble meter signal trend during the air extraction process.</p>
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<p>Pump performance with water—(<b>a</b>) Pump Head, (<b>b</b>) Efficiency, and (<b>c</b>) Shaft power.</p>
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<p>Water performance in dimensionless coordinates.</p>
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<p>Bubble meter signal—(<b>a</b>) water signal (blue line) compared with kaolin 40 wt.% in standard and de-aerated conditions; (<b>b</b>) de-aerated mixtures, 40 wt.% vs. 35 wt.%.</p>
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<p>Pump performance with kaolin slurries—2900 rpm and 2500 rpm.</p>
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<p>Pump performance with kaolin slurries—2000 rpm.</p>
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<p>Dimensionless discharge pressure <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mi>d</mi> </msub> <mo>∗</mo> </mrow> </semantics></math> (<b>a</b>–<b>c</b>) and suction pressure <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mi>s</mi> </msub> <mo>∗</mo> </mrow> </semantics></math> (<b>d</b>–<b>f</b>) testing kaolin slurries.</p>
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18 pages, 15965 KiB  
Article
On Tectonic and Hydro Meteorological Conditions of Methane Genesis and Migration in the Offshore Waters of East Vietnam
by Andrey Kholmogorov, Ruslan Kulinich, Galina Vlasova, Nadezhda Syrbu, Nengyou Wu and Yizhao Wan
Water 2025, 17(2), 150; https://doi.org/10.3390/w17020150 - 8 Jan 2025
Abstract
Complex geological, gas geochemical and hydro meteorological studies were conducted to investigate the methane fields present in the bottom sediments and seawater of the Red River and Phu Khanh sedimentary basins. We demonstrate that the system of tectonic faults that formed the sedimentary [...] Read more.
Complex geological, gas geochemical and hydro meteorological studies were conducted to investigate the methane fields present in the bottom sediments and seawater of the Red River and Phu Khanh sedimentary basins. We demonstrate that the system of tectonic faults that formed the sedimentary basins of the Red River and the Phu Khanh (the eastern shelf and slope of Vietnam) created the necessary conditions for the generation and migration of endogenous methane into the bottom sediments and seawater. It is shown that dissolved methane in seawater can be transported by marine currents, which in turn can be influenced by seasonal and irregular synoptic processes. The research shows that part of the dissolved methane contained in the waters above the Ken Bau gas field can be transported to the south by the coastal Vietnamese current, which adapts to the conditions of the winter northeast monsoon. It is concluded that there could be at least two deep sources of hydrocarbon gas emissions in the Phu Khanh basin. The impact of Typhoon Nakri on the transport of dissolved methane in the water column of the Phu Khanh sedimentary basin has been investigated. The typhoon could create favorable hydrodynamic conditions for the movement of dissolved gases from oil and gas deposits near the coasts of the islands of Kalimantan and Palawan to the Phu Khanh basin. A possible route for this transfer has been identified. Full article
(This article belongs to the Special Issue Advances in Coastal Hydrological and Geological Processes)
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<p>(<b>a</b>) Schematic map of the Red River (I) and Phu Khanh (II) sedimentary basins: research objects 2019 (LV88). The red lines indicate the faults of the Lo River (LRF) and Red River (RRF) (by [<a href="#B5-water-17-00150" class="html-bibr">5</a>]). The black dots indicate gas geochemical sampling stations. (<b>b</b>) Schematic map of gas geochemical study area and sampling stations carried out in 1981–1989. 1: gas geochemical stations; 2: faults: RRF—Red River Fault, WF—Western Fault, THSZ—Tuy Hoa Shear Zone; 3: isobath of 200 m; 4: hidden massifs of ultrabasic rocks, identified by geophysical data; 5: abnormal concentration of methane in water near the bottom [<a href="#B2-water-17-00150" class="html-bibr">2</a>,<a href="#B3-water-17-00150" class="html-bibr">3</a>,<a href="#B6-water-17-00150" class="html-bibr">6</a>].</p>
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<p>Scheme of surface currents in the South China Sea during the winter monsoon (compiled by G.A. Vlasova on the basis of data from all previous studies). In winter, under the influence of the winter monsoon, the waters of this current move from north to south and southwest, and in summer, they move in the opposite direction, according to the movement of air masses of the East Asian monsoon. 1: Vietnamese current, 2: Nanshan countercurrent, 3: Eastern countercurrent, 4: South China current; H: anticyclone, L: cyclone. The research areas are given in white: I is the Red River basin, and II is the Phu Khanh basin.</p>
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<p>Results of methane sampling in bottom sediments (nmol/dm<sup>3</sup>) at stations No. 50–56 and methane distribution in water (nmol/L) of the Red River basin, South China Sea. (<b>a</b>) The position of sediment sampling stations No. 50, 51, 55, 56 (5a). (<b>b</b>) Methane concentrations in sediment. At station No. 55, methane concentration was up to 793 nmol/dm<sup>3</sup> and up to 40 cm horizon was observed (<b>a</b>). At the southern stations No. 50 and 51, the methane concentration in sediment was 45–360 nmol/dm<sup>3</sup>. A local methane maximum of 360 nmol/dm<sup>3</sup> at 300 cm horizon was detected at station No. 50 (<b>b</b>). (<b>c</b>) Location of water sampling stations: red color indicates stations where bottom sediment and water samples were taken; blue arrows indicate directions of sea currents during the expedition LV88. (<b>d</b>) Methane concentrations in water on the section with stations No. 52–56. The results show abnormal water dissolved methane concentration field (<b>b</b>); an absolute dissolved methane maximum (58 nmol/L) was detected here in the bottom layer at a depth of 91 m (<b>b</b>). No methane anomalies are observed in southeast stations No. 52 and 53 of the profile (<b>b</b>).</p>
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<p>Results of methane sampling in bottom sediments of the Phu Khanh basin, South China Sea. (<b>a</b>) Position of the profiles (white lines) and sampling stations: black dots show sediment sampling stations, red dots show both water and sediment sampling stations. (<b>b</b>–<b>e</b>) Profile numbers and methane distribution in sediments: (<b>b</b>) High methane concentrations at station No. 48 (up to 850 nmol/dm<sup>3</sup>); (<b>c</b>) Anomalous high methane concentrations at station No. 27 (up to 1200 nmol/dm<sup>3</sup>); (<b>d</b>) Methane concentrations within wide limits from 150 nmol/dm<sup>3</sup> (near shelf station No. 38) to 2000 nmol/dm<sup>3</sup> (area of station No. 31 in the sediment layer ≈ 30–50 cm); (<b>e</b>) Anomalous high methane concentrations at station No. 23 (up to 2000 nmol/dm<sup>3</sup>).</p>
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<p>The ratio of methane to the sum of its homologues (to propane and ethane) in sediments in the north and south of the Phu Khanh sedimentary basin. (<b>a</b>) Position of areas in South China Sea: 1—northern area; 2—southern area. (<b>b</b>) Ratio of methane amount to the sum of homologues in the northern area. (<b>c</b>) Ratio of methane amount to the sum of homologues in the southern area.</p>
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<p>Results of methane sampling in water of the Phu Khanh basin, South China Sea. (<b>a</b>) Position of the profiles and sampling stations, in which blue arrows indicate direction of sea currents during marine expedition survey. (<b>b</b>–<b>d</b>) Profile numbers and methane distribution in water column; red color indicates stations where gases were sampled both in sediments and bottom layer. High methane concentrations are in the upper water layer of all the profiles: (<b>b</b>) The 50–200 m and 20–110 m surface water layers meet local methane anomalies up to 9–10 nmol/L at the neighboring stations, stations No. 49 and 46. (<b>c</b>) The increased methane concentration (8–9 nmol/L) extending from the shelf (station No. 12) towards depths (station No. 14) in water layer from 70 to ≈200 m. (<b>d</b>) Slightly high methane concentrations (up to 9 nmol/L) were observed at station No. 38 in the water layer of 70–300 m.</p>
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<p>The schematic map of the trajectory of tropical cyclone (TC) Nakri in the South China Sea in November 2019 during the cruise 88 R/V “Akademik M.A. Lavrentyev” (LV88). The white bold line shows the trajectory [<a href="#B39-water-17-00150" class="html-bibr">39</a>] of the TC; green triangle is the place of origin of the TC; green circles are the position of its center for each day from 5 November to 10 November 2019; red triangle is the outlet of the TC to the shore (11 November 2019); blue rectangle indicates boundaries of the water research area; small yellow arrows show the direction of water mass movement on 9 November 2019 according to satellite observation [<a href="#B40-water-17-00150" class="html-bibr">40</a>]; yellow bold arrows indicate possible trajectories of methane transport into the Phu Khanh basin from other endogenous sources of the South China Sea by currents (methane is transferred from oil and gas accumulations and deposits off the coast of Kalimantan and Palawan Islands); red color is warmer seawater and blue color is colder seawater [<a href="#B40-water-17-00150" class="html-bibr">40</a>]).</p>
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30 pages, 6531 KiB  
Review
Water Inflow Controller Devices as a Solution for Production for Mature Oil Fields: A Literature Review
by Miguel Asuaje, Nicolas Rincón, Nicolas Ratkovich, Andres Pinilla and Ricardo Nieto
Processes 2025, 13(1), 144; https://doi.org/10.3390/pr13010144 - 7 Jan 2025
Viewed by 224
Abstract
The energy transition demands innovative solutions for efficient and sustainable oil and gas production, particularly for heavy and extra-heavy crude. A significant challenge in these operations is the excessive production of water, which increases operational costs and environmental impact. This paper reviews the [...] Read more.
The energy transition demands innovative solutions for efficient and sustainable oil and gas production, particularly for heavy and extra-heavy crude. A significant challenge in these operations is the excessive production of water, which increases operational costs and environmental impact. This paper reviews the application of mechanical water control devices to optimize water management in heavy oil fields. By analyzing over 3140 documents, only a final total of 42 previous peer-reviewed articles were considered, where 58% sought to understand and optimize water flow from the reservoir to the well mainly by well simulation; 19% studied the implementation cases in the fields, highlighting the success cases; 16% mentioned CFD and other simulations tools; and 7% are related to these devices. While simulation studies have been widely employed, there is a need for more comprehensive field implementations and data-driven insights. This paper aims to contribute to the advancement of water management techniques, ultimately enhancing the sustainability and profitability of heavy oil production, emphasizing the most significant findings. Full article
(This article belongs to the Special Issue Recent Developments in Enhanced Oil Recovery (EOR) Processes)
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<p>Energy consumption by fuel [<a href="#B3-processes-13-00144" class="html-bibr">3</a>].</p>
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<p>Oil reserves by type [<a href="#B4-processes-13-00144" class="html-bibr">4</a>,<a href="#B6-processes-13-00144" class="html-bibr">6</a>,<a href="#B7-processes-13-00144" class="html-bibr">7</a>].</p>
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<p>Causes and effects of water production.</p>
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<p>Advancement of gas–oil and water–oil contacts in a horizontal well has been completed: top—with slotted liner; and bottom—with water control devices.</p>
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<p>Percentage of flow area reduction against time in a horizontal well completed with (redline) water control passive device, and (green line) water control autonomous devices.</p>
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<p>Examples of ICV designs: (<b>a</b>) HS-ICV [<a href="#B63-processes-13-00144" class="html-bibr">63</a>]; (<b>b</b>) TRFC-LT Hydraulic Flow Control Valve [<a href="#B64-processes-13-00144" class="html-bibr">64</a>]; and (<b>c</b>) MultiNode electric flow control valve [<a href="#B45-processes-13-00144" class="html-bibr">45</a>].</p>
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<p>Distribution of the available papers in OnePetro: (<b>a</b>) total papers by type; (<b>b</b>) total papers by review status; (<b>c</b>) total papers by search term; (<b>d</b>) peer-reviewed papers by type; (<b>e</b>) peer-reviewed papers by relation with inflow control; (<b>f</b>) peer-reviewed papers by search term after filtering; and (<b>g</b>) unique peer-reviewed papers by search term after filtering.</p>
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17 pages, 4050 KiB  
Article
Energy Consumption Prediction and Optimization of the Electrical Submersible Pump Well System Based on the DA-RNN Algorithm
by Xianfu Sui, Guoqing Han, Xin Lu, Zhisheng Xing and Xingyuan Liang
Processes 2025, 13(1), 128; https://doi.org/10.3390/pr13010128 - 6 Jan 2025
Viewed by 262
Abstract
The electrical submersible pump (ESP) well system is widely used in the oil industry due to its advantages of high displacement and lift capability. However, it is associated with significant energy consumption. In order to conserve electrical energy and enhance the efficiency of [...] Read more.
The electrical submersible pump (ESP) well system is widely used in the oil industry due to its advantages of high displacement and lift capability. However, it is associated with significant energy consumption. In order to conserve electrical energy and enhance the efficiency of petroleum companies, a deep learning-based energy consumption calculation method is proposed and utilized to optimize the most energy-efficient operating regime. The energy consumption of the ESP well system is precisely determined through the application of the Pearson correlation coefficient analysis method, which is utilized to examine the relationship between production parameters and energy usage. This process aids in identifying the input parameters of the model. Following this, an energy consumption prediction model is developed using the dual-stage attention-based recurrent neural network (DA-RNN) algorithm. To evaluate the accuracy of the DA-RNN model, a comparison of its errors is carried out in comparison to three other deep learning algorithms: Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), and Transform. Lastly, an orthogonal experiment is executed using the chosen model to pinpoint the most energy-efficient operating regime. Analysis of 325 ESP wells in the Bohai PL oil field indicated that ten parameters, including choke diameter, casing pressure, pump inlet pressure, pump outlet pressure, motor temperature, frequency, oil production, gas production, water production, and GOR significantly impact the energy consumption of the ESP well system. Consequently, these parameters were selected as input variables for the deep learning model. Due to the attention mechanisms employed in the encoding and decoding stages, the DA-RNN algorithm achieved the best performance during model evaluation and was chosen for constructing the energy consumption prediction model. Furthermore, the DA-RNN algorithm demonstrates better model generalization capabilities compared to the other three algorithms. Based on the energy consumption prediction model, the operating regime of the ESP system was optimized to save up to 12% of the maximum energy. The energy consumption of the ESP well system is affected by numerous parameters, and it is difficult to comprehensively evaluate and predict quantitatively. Thus, this work proposes a data-driven model based on the DA-RNN algorithm, which has a dual-stage attention mechanism to rapidly and accurately predict the energy consumption of the ESP well system. Optimization of production parameters using this model can effectively reduce energy consumption. Full article
(This article belongs to the Section Energy Systems)
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<p>Architecture of the DA-RNN. (<b>a</b>) The input attention mechanism. (<b>b</b>) The temporal attention mechanism.</p>
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<p>Data-driven research process of ESP energy consumption prediction and optimization.</p>
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<p>Thermodynamic diagram of Pearson correlation coefficient.</p>
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<p>Performance comparison of four energy consumption prediction models.</p>
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<p>DA-RNN model predictions for the entire sample.</p>
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<p>Optimization workflow for ESP operating regime.</p>
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<p>Predicted effect of energy consumption for well A.</p>
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<p>Sensitivity analysis of frequency and choke diameter.</p>
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<p>Optimization effect of well B.</p>
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21 pages, 8843 KiB  
Article
Organic Geochemical Characteristics and Hydrocarbon Significance of the Permian System Around the Bogda Mountain, Junggar Basin, Northwest China
by Jiaquan Zhou, Chao Li, Ziyi Song and Xinlei Zhang
Sustainability 2025, 17(1), 347; https://doi.org/10.3390/su17010347 - 5 Jan 2025
Viewed by 516
Abstract
Shale oil and gas resources have become an alternative energy source and are crucial in the field of sustainable oil and gas exploration. In the Junggar Basin, the Permian is not only the most significant source rock, but also an important field in [...] Read more.
Shale oil and gas resources have become an alternative energy source and are crucial in the field of sustainable oil and gas exploration. In the Junggar Basin, the Permian is not only the most significant source rock, but also an important field in shale oil and gas exploration. However, there are significant differences in the effectiveness of source rocks in different layers. During the Permian, the Bogda region effectively recorded the transition from marine environments in the Early Permian to terrestrial environments in the Late Permian, providing a viable opportunity for studying the Permian source rock of the Junggar Basin. We conducted an analysis of the total organic carbon (TOC), Rock-Eval pyrolysis, vitrinite reflectance (Ro), and biomarker compounds of Permian source rocks around the Bogda Mountain. The results indicate that the Lower Permian strata were primarily deposited in a moderately reducing marine environment, with the main organic matter sourced from planktonic organisms. These strata are currently in a high to over-mature stage, evaluated as medium-quality source rocks, and may have already generated and expelled substantial quantities of oil and gas, making the Lower Permian hydrocarbon resources within the basin a noteworthy target for deep condensate oil and gas exploration in adjacent depressions. The Middle Permian Wulabo and Jingjingzigou formations were deposited in a moderately oxidizing marine–continental transitional environment with significant terrestrial organic input. The kerogen type is predominantly Type III, and these formations are presently in the mature to over-mature stage with low organic abundance and poor hydrocarbon generation potential. The Middle Permian Lucaogou Formation was deposited in a moderately reducing saline lacustrine environment, with algae and planktonic organisms as the primary sources of organic matter. The kerogen types are mainly Type I and II1, and it is currently within the oil-generation window. It is characterized by high organic abundance and evaluated as good to excellent source rocks, possessing substantial potential for shale oil exploration. The Upper Permian Wutonggou Formation was primarily deposited in a highly oxidizing continental environment with significant terrestrial input. The primary organic source comprises higher plants, resulting in Type III kerogen. These strata exhibit low organic abundance, are currently in the immature to mature stage, and are evaluated as poor source rocks with limited exploration potential. The information presented in this paper has important theoretical significance and practical value for oil and gas exploration and development in the Junggar Basin. Full article
(This article belongs to the Topic Recent Advances in Diagenesis and Reservoir 3D Modeling)
(This article belongs to the Section Sustainability in Geographic Science)
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<p>(<b>a</b>) Tectonic map of Bogda Mountain showing the location of sections and wells (adapted from Wang et al., 2018 [<a href="#B31-sustainability-17-00347" class="html-bibr">31</a>]), NTS = North Tianshan, CTS = Central Tianshan, STS = South Tianshan, ① = Yaomoshan Section, ② = Niufengou Section, ③ = Jingjingzigou Section, ④ = Lucaogou Section, ⑤ = Haxionggou Section, ⑥ = Sigonghe Section, ⑦ = Baiyanghe Section, ⑧ = Ergonghe Section, ⑨ = Jimusaergou Section, ⑩ = Dongdalongkou Section; (<b>b</b>) Guadalupian–Lopingian global paleogeography (adapted from Sun et al., 2022 [<a href="#B32-sustainability-17-00347" class="html-bibr">32</a>]), paleogeographic location map of the Junggar Basin; and (<b>c</b>) the location of the Junggar Basin.</p>
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<p>The Permian age framework of the southeastern Junggar Basin, the lithology column and the photos of representative samples.</p>
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<p>Distribution histogram of total organic carbon (TOC, %) contents for Permian source rock around the Bogda Mountain, Junggar Basin.</p>
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<p>Total ion currents and <span class="html-italic">m</span>/<span class="html-italic">z</span> 57 mass chromatograms of saturated hydrocarbons in the Permian source rocks around Bogda Mountain, Junggar Basin.</p>
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<p><span class="html-italic">m</span>/<span class="html-italic">z</span> 191 and <span class="html-italic">m</span>/<span class="html-italic">z</span> 217 mass chromatograms of saturated hydrocarbons in the Permian source rocks around Bogda Mountain, Junggar Basin.</p>
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<p>Total organic carbon (TOC) contents versus Rock-Eval S<sub>2</sub> peaks (mg hydrocarbons [HC]/g rock) for Permian source rock around the Bogda Mountain, Junggar Basin (adapted from Chen et al., 2021 [<a href="#B54-sustainability-17-00347" class="html-bibr">54</a>]). P = poor, F = fair, G = good, VG = very good, and E = excellent.</p>
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<p>Organic matter type of Permian source rock around the Bogda Mountain, Junggar Basin. Plots of the: (<b>a</b>) Hydrogen Index versus Tmax (adapted from Delvaux et al., 1990 [<a href="#B55-sustainability-17-00347" class="html-bibr">55</a>]); and (<b>b</b>) Hydrogen Index versus Oxygen Index (adapted from Peters 1986 [<a href="#B56-sustainability-17-00347" class="html-bibr">56</a>]). I = Type I kerogen, II = Type II kerogen, III = Type III keroge.</p>
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<p>Distribution of biomarkers for Permian source rock around the Bogda Mountain, Junggar Basin. Plots of the: (<b>a</b>) Pr/C<sub>17</sub> versus Ph/C<sub>18</sub> (adapted from Shanmugam et al., 1985 [<a href="#B59-sustainability-17-00347" class="html-bibr">59</a>]); and (<b>b</b>) Gammacerane/C<sub>30</sub> hopane versus Pr/Ph.</p>
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<p>Ternary diagram of C<sub>27</sub>–C<sub>28</sub>–C<sub>29</sub> steranes ααα 20R (adapted from Huang and Meinschein 1979 [<a href="#B62-sustainability-17-00347" class="html-bibr">62</a>]) of Permian source rock around the Bogda Mountain, Junggar Basin.</p>
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<p>Thermal maturity identification charts of Permian source rock around the Bogda Mountain, Junggar Basin. (<b>a</b>) Distribution histogram of Tmax. (<b>b</b>) Distribution histogram of Ts/(Tm + Ts).</p>
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<p>C<sub>29</sub>-sterane ααα 20S/(S + R) versus C<sub>29</sub>-sterane αββ/(αββ + ααα) of Permian source rock around the Bogda Mountain, Junggar Basin (adapted from Peters et al., 2005 [<a href="#B19-sustainability-17-00347" class="html-bibr">19</a>]).</p>
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19 pages, 575 KiB  
Article
Comparative Analysis of Five Moroccan Thyme Species: Insights into Chemical Composition, Antioxidant Potential, Anti-Enzymatic Properties, and Insecticidal Effects
by Mohamed Ouknin, Hassan Alahyane, Naima Ait Aabd, Sara Elgadi, Youssef Lghazi and Lhou Majidi
Plants 2025, 14(1), 116; https://doi.org/10.3390/plants14010116 - 3 Jan 2025
Viewed by 319
Abstract
This study aimed to investigate the chemical composition and bioactivities of essential oils (EOs) from five Moroccan thyme species: Thymus broussonetii subsp. broussonetii, T. maroccanus, T. willdenowii, T. zygis subsp. gracilis, and T. satureioides, collected from various geographical regions. Gas [...] Read more.
This study aimed to investigate the chemical composition and bioactivities of essential oils (EOs) from five Moroccan thyme species: Thymus broussonetii subsp. broussonetii, T. maroccanus, T. willdenowii, T. zygis subsp. gracilis, and T. satureioides, collected from various geographical regions. Gas chromatography–mass spectrometry (GC-MS) identified thymol, p-cymene, borneol, γ-terpinene, carvacrol, α-pinene, and camphene as major constituents, with variations across species. Inductively coupled plasma atomic emission spectroscopy (ICP-AES) revealed important levels of calcium (450.6–712.2 mg/kg), potassium (255.4–420.7 mg/kg), magnesium (97.3–150.7 mg/kg), and iron (1.95–15.1 mg/kg). The EOs demonstrated strong antioxidant activity in DPPH, FRAP, and β-carotene bleaching assays. Insecticidal activity against Aphis gossypii revealed the highest efficacy with T. willdenowii EO (LC50 = 6.2 µL/mL), followed by T. maroccanus and T. zygis subsp. gracilis. Additionally, the EOs exhibited potent enzyme inhibitory effects at 1 mg/mL on acetylcholinesterase (83.1–96.4%), tyrosinase (77.5–89.6%), and α-glucosidase (79.4–89.5%). These findings suggest that thyme EOs, particularly from T. willdenowii, T. zygis, and T. maroccanus, are promising candidates for integrated pest management and natural enzyme inhibitors. Their potential applications in medicinal and pharmaceutical fields underscore the need for further research to optimize their use under specific conditions and dosages. Full article
(This article belongs to the Special Issue Essential Oils: Chemistry and Biology, and Their Interplay)
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<p>Main compounds identified in the studied essential oils.</p>
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21 pages, 5296 KiB  
Article
Numerical Model for Studying the Properties of a New Friction Damper Developed Based on the Shell with a Helical Cut
by Andrii Velychkovych, Vasyl Mykhailiuk and Andriy Andrusyak
Appl. Mech. 2025, 6(1), 1; https://doi.org/10.3390/applmech6010001 - 2 Jan 2025
Viewed by 398
Abstract
Friction dampers based on the effects of dry friction are attractive to engineers because of their simple design, low manufacturing and maintenance costs, and high efficiency under heavy loads. This study proposes a new damper design based on an open shell with a [...] Read more.
Friction dampers based on the effects of dry friction are attractive to engineers because of their simple design, low manufacturing and maintenance costs, and high efficiency under heavy loads. This study proposes a new damper design based on an open shell with a deformable filler, with the shell cut along a cylindrical helical line. The key idea in developing the design was to use the bending effect of the shell in contact with the weakly compressible filler. Another idea was to use the frictional interaction between the filler and the open shell to obtain the required damping characteristics. The working hypothesis of this study was that, ceteris paribus, a change in the configuration of the shell cut would cause a change in the stiffness of the structure. To analyse the performance characteristics of the proposed damper and test the hypothesis put forward, a numerical model of the shell damper was built, and a boundary value problem was formulated and solved for the frictional interaction between the shell cut along the helical line and the weakly compressible filler, taking into account the dry friction forces between them. As a result, the strength, stiffness, and damping properties of the developed damper were investigated, and a comparative analysis of the new design with the prototype was carried out. It is predicted that the proposed friction damper will be used in the energy and construction industries, in particular in drilling shock absorbers for the oil and geothermal industries, as well as in earthquake-resistant structures. Full article
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<p>Shell damper: (<b>a</b>)—experimental samples; (<b>b</b>)—conceptual diagram of the damper; 1 and 4—upper and lower pushers, 2—a cylindrical shell with a cut along the generatrix, 3—weakly compressible filler.</p>
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<p>Friction damper with an open shell cut along a cylindrical helical line: (<b>a</b>)—experimental samples; (<b>b</b>)—schematic diagram; 1 and 4—upper and lower pushers, 2—open cylindrical shell, 3—weakly compressible deformable filler, 5—cut along a cylindrical helical line.</p>
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<p>Design scheme of the friction damper (<b>a</b>); finite element model of the damper (<b>b</b>) and its individual parts (<b>c</b>).</p>
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<p>Design scheme of the friction damper (<b>a</b>); finite element model of the damper (<b>b</b>) and its individual parts (<b>c</b>).</p>
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<p>Investigation of the stress state of the damper shell, which is cut along a cylindrical helical line (external load on the pusher is 100 kN): (<b>a</b>)—reference of the cylindrical coordinate system; (<b>b</b>)—chromogram of circular stresses; (<b>c</b>)—chromogram of axial normal stresses; (<b>d</b>)—chromogram of tangential stresses.</p>
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<p>Investigation of the main components of the stress state and equivalent stresses in the filler (external load on the pusher of 100 kN): (<b>a</b>)—chromograms of axial normal stresses; (<b>b</b>)—chromograms of radial normal stresses; (<b>c</b>)—chromogram of equivalent stresses calculated by the Huber–Mises theory.</p>
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<p>Investigation of the main components of the stress state and equivalent stresses in the filler (external load on the pusher of 100 kN): (<b>a</b>)—chromograms of axial normal stresses; (<b>b</b>)—chromograms of radial normal stresses; (<b>c</b>)—chromogram of equivalent stresses calculated by the Huber–Mises theory.</p>
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<p>Strength assessment of a friction damper in terms of equivalent stresses (external load on the pusher 100 kN): (<b>a</b>)—open shell, cut along a cylindrical helical line; (<b>b</b>)—shell damper.</p>
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<p>Displacement chromograms of the damper: (<b>a</b>)—radial displacement, (<b>b</b>)—axial displacement.</p>
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<p>Deformation diagram of a friction damper with an open shell, the cut of which is made along a cylindrical helical line (friction coefficient in contact pairs is 0.2).</p>
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<p>Deformation diagram of a friction damper with an open shell, cut along a cylindrical helical line (friction coefficient in contact pairs—0.4).</p>
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<p>Distribution of equivalent stresses determined by the Huber–Mises theory (friction coefficient in contact pairs is 0.4): (<b>a</b>)—in the open shell; (<b>b</b>)—in the filler.</p>
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<p>Distribution of equivalent stresses determined by the Huber–Mises theory (friction coefficient in contact pairs is 0.4): (<b>a</b>)—in the open shell; (<b>b</b>)—in the filler.</p>
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<p>The influence of the length of the filler and the working part of the open shell on the compliance of the friction damper: (<b>a</b>) shell wall thickness 8 mm; (<b>b</b>) shell wall thickness 10 mm.</p>
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<p>Model of a friction damper constructed on the basis of a shell with a cut along the generatrix.</p>
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<p>Deformation diagrams of the basic structure of a shell damper: (<b>a</b>)—friction coefficient in contact pairs 0.2; (<b>b</b>)—friction coefficient in contact pairs 0.4.</p>
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<p>Deformation diagrams of the basic structure of a shell damper: (<b>a</b>)—friction coefficient in contact pairs 0.2; (<b>b</b>)—friction coefficient in contact pairs 0.4.</p>
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<p>Comparative analysis of active load branches of friction dampers designed on the basis of open-ended shells with different cut configurations.</p>
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22 pages, 10682 KiB  
Article
Insight into the Microscopic Interactions Among Steam, Non-Condensable Gases, and Heavy Oil in Steam and Gas Push Processes: A Molecular Dynamics Simulation Study
by Jiuning Zhou, Xiyan Wang, Xiaofei Sun and Zifei Fan
Energies 2025, 18(1), 125; https://doi.org/10.3390/en18010125 - 31 Dec 2024
Viewed by 289
Abstract
The SAGP (steam and gas push) process is an effective enhanced oil recovery (EOR) method for heavy oil reservoirs. Understanding the microscopic interactions among steam, non-condensable gasses (NCGs), and heavy oil under reservoir conditions in SAGP processes is important for their EOR applications. [...] Read more.
The SAGP (steam and gas push) process is an effective enhanced oil recovery (EOR) method for heavy oil reservoirs. Understanding the microscopic interactions among steam, non-condensable gasses (NCGs), and heavy oil under reservoir conditions in SAGP processes is important for their EOR applications. In this study, molecular simulations were performed to investigate the microscopic interactions among steam, NCG, and heavy oil under reservoir conditions in SAGP processes. In addition, the microscopic EOR mechanisms during SAGP processes and the effects of operational parameters (NCG type, NCG–steam mole ratio, temperature, and pressure) were discussed. The results show that the diffusion and dissolution of CH4 molecules and the extraction of steam molecules cause the molecules of saturates with light molecular weights in the oil globules to stretch and gradually detach from one another, resulting in the swelling of heavy oil. Compared with N2, CH4 has a stronger ability to diffuse and dissolve in heavy oil, swell the heavy oil, and reduce the density and viscosity of heavy oil. For this reason, compared with cases where N2 is used, SAGP processes perform better when CH4 is used, indicating that CH4 can be used as the injected NCG in the SAGP process to improve heavy oil recovery. As the NCG–steam mole ratio and injection pressure increase, the diffusion and solubility abilities of CH4 in heavy oil increase, enabling CH4 to perform better in swelling the heavy oil and reducing the density and viscosity of heavy oil. Hence, increasing the NCG–steam mole ratio and injection pressure is helpful in improving the performance of SAGP processes in heavy oil reservoirs. However, the NCG–steam mole ratio and injection pressure should be reasonably determined based on actual field conditions because excessively high NCG–steam mole ratios and injection pressures lead to higher operation costs. Increasing the temperature is favorable for increasing the diffusion coefficient of CH4 in heavy oil, swelling heavy oil, and reducing the oil density and viscosity. However, high temperatures can result in intensified thermal motion of CH4 molecules, reduce the interaction energy between CH4 molecules and heavy oil molecules, and increase the difference in the Hildebrand solubility parameter between heavy oil and CH4–steam mixtures, which is unfavorable for the dissolution of CH4 in heavy oil. This study can help readers deeply understand the microscopic interactions among steam, NCG, and heavy oil under reservoir conditions in SAGP processes and its results can provide valuable information for the actual application of SAGP processes in enhancing heavy oil recovery. Full article
(This article belongs to the Section H: Geo-Energy)
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<p>Schematic diagram of the SAGP process.</p>
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<p>Molecular model used in molecular dynamics simulations: (<b>a</b>) saturates; (<b>b</b>) aromatics; (<b>c</b>) resins; (<b>d</b>) asphaltenes; (<b>e</b>) N<sub>2</sub>; (<b>f</b>) CH<sub>4</sub>; and (<b>g</b>) water (steam).</p>
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<p>(<b>a</b>) Heavy oil model; (<b>b</b>) N<sub>2</sub>–steam–heavy oil model; and (<b>c</b>) CH<sub>4</sub>–steam–heavy oil model.</p>
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<p>Schematic of the MD simulation workflow.</p>
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<p>Microscopic interactions among NCGs, steam, and heavy oil under simulation conditions (493 K, 2 MPa): (<b>a</b>) CH<sub>4</sub>–steam–heavy oil system; (<b>b</b>) N<sub>2</sub>–steam–heavy oil system.</p>
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<p>The effect of NCG type on the results of MD simulations: (<b>a</b>) MSD of the four components of heavy oil in the N<sub>2</sub>–steam–heavy oil system; (<b>b</b>) MSD of the four components of heavy oil the in CH<sub>4</sub>–steam–heavy oil system; (<b>c</b>) oil swelling factors; (<b>d</b>) density and viscosity; (<b>e</b>) <span class="html-italic">D</span>; (<b>f</b>) <span class="html-italic">δ</span>; and (<b>g</b>) <span class="html-italic">E</span> between NCGs/steam and heavy oil molecules.</p>
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<p>The effect of NCG type on the results of MD simulations: (<b>a</b>) MSD of the four components of heavy oil in the N<sub>2</sub>–steam–heavy oil system; (<b>b</b>) MSD of the four components of heavy oil the in CH<sub>4</sub>–steam–heavy oil system; (<b>c</b>) oil swelling factors; (<b>d</b>) density and viscosity; (<b>e</b>) <span class="html-italic">D</span>; (<b>f</b>) <span class="html-italic">δ</span>; and (<b>g</b>) <span class="html-italic">E</span> between NCGs/steam and heavy oil molecules.</p>
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<p>Comparison of the RDF values: (<b>a</b>) CH<sub>4</sub>–steam–heavy oil system; (<b>b</b>) N<sub>2</sub>–steam–heavy oil system.</p>
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<p>Comparison of the RDF values: (<b>a</b>) CH<sub>4</sub>–steam–heavy oil system; (<b>b</b>) N<sub>2</sub>–steam–heavy oil system.</p>
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<p>Calculated RDF values: (<b>a</b>) CH<sub>4</sub>–steam–heavy oil system; (<b>b</b>) N<sub>2</sub>–steam–heavy oil system.</p>
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<p>Effect of the CH<sub>4</sub>–steam mole ratio on microscopic interactions in the CH<sub>4</sub>–steam–heavy oil system.</p>
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<p>The effect of NCG–steam mole ratio type on the results of MD simulations: (<b>a</b>) MSD of heavy oil molecules; (<b>b</b>) oil swelling factor; (<b>c</b>) density and viscosity; (<b>d</b>) <span class="html-italic">D</span>; (<b>e</b>) <span class="html-italic">δ</span>; (<b>f</b>) <span class="html-italic">E</span> between CH<sub>4</sub> and heavy oil molecules; and (<b>g</b>) CH<sub>4</sub>–heavy oil intermolecular RDF.</p>
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<p>The effect of NCG–steam mole ratio type on the results of MD simulations: (<b>a</b>) MSD of heavy oil molecules; (<b>b</b>) oil swelling factor; (<b>c</b>) density and viscosity; (<b>d</b>) <span class="html-italic">D</span>; (<b>e</b>) <span class="html-italic">δ</span>; (<b>f</b>) <span class="html-italic">E</span> between CH<sub>4</sub> and heavy oil molecules; and (<b>g</b>) CH<sub>4</sub>–heavy oil intermolecular RDF.</p>
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<p>Effect of temperature on microscopic interactions in the CH<sub>4</sub>–steam–heavy oil system.</p>
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<p>The effect of temperature on the results of MD simulations: (<b>a</b>) MSD of heavy oil molecules; (<b>b</b>) oil swelling factor; (<b>c</b>) density and viscosity; (<b>d</b>) <span class="html-italic">D</span>; (<b>e</b>) <span class="html-italic">δ</span>; (<b>f</b>) <span class="html-italic">E</span> between CH<sub>4</sub> and heavy oil molecules; and (<b>g</b>) CH<sub>4</sub>–heavy oil intermolecular RDF.</p>
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<p>Effect of pressure on microscopic interactions in the CH<sub>4</sub>–steam–heavy oil system.</p>
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<p>The effect of pressure on the results of MD simulations: (<b>a</b>) MSD of heavy oil molecules; (<b>b</b>) oil swelling factor; (<b>c</b>) density and viscosity; (<b>d</b>) <span class="html-italic">D</span>; (<b>e</b>) <span class="html-italic">δ</span>; (<b>f</b>) <span class="html-italic">E</span> between CH<sub>4</sub> and heavy oil molecules; and (<b>g</b>) CH<sub>4</sub>–heavy oil intermolecular RDF.</p>
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<p>The effect of pressure on the results of MD simulations: (<b>a</b>) MSD of heavy oil molecules; (<b>b</b>) oil swelling factor; (<b>c</b>) density and viscosity; (<b>d</b>) <span class="html-italic">D</span>; (<b>e</b>) <span class="html-italic">δ</span>; (<b>f</b>) <span class="html-italic">E</span> between CH<sub>4</sub> and heavy oil molecules; and (<b>g</b>) CH<sub>4</sub>–heavy oil intermolecular RDF.</p>
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27 pages, 11152 KiB  
Systematic Review
Systematic Exploration of the Knowledge Graph on Rock Porosity Structure
by Chengwei Geng, Fei Xiong, Yong Liu, Yun Zhang, Yi Xue, Tongqiang Xia and Ming Ji
Buildings 2025, 15(1), 101; https://doi.org/10.3390/buildings15010101 - 30 Dec 2024
Viewed by 440
Abstract
The porosity structure of rocks is an important research topic in fields such as civil engineering, geology, and petroleum engineering, with significant implications for groundwater flow, oil and gas reservoir exploitation, and geological hazard prediction. This paper systematically explores the research progress and [...] Read more.
The porosity structure of rocks is an important research topic in fields such as civil engineering, geology, and petroleum engineering, with significant implications for groundwater flow, oil and gas reservoir exploitation, and geological hazard prediction. This paper systematically explores the research progress and knowledge graph construction methods for rock porosity structure, aiming to provide scientific foundations for a multidimensional understanding and application of rock porosity structure. It outlines the basic concepts and classifications of rock porosity, including the definitions and characteristics of macropores, micropores, and nanopores. This paper provides a comprehensive overview of the main technical methods employed in recent research on rock porosity structure, including X-ray computed tomography, scanning electron microscopy, nuclear magnetic resonance, and 3D reconstruction technologies. It explores the relationship between porosity structure and the physical and mechanical properties of rocks, focusing on the impact of porosity, permeability, and pore morphology on rock mechanical behavior. A knowledge graph of rock porosity structure is constructed to highlight key research areas, core technologies, and emerging applications in this field. The study utilizes extensive literature review and data mining techniques, analyzing 4807 papers published over the past 20 years, sourced from the Web of Science database. Bibliometric and knowledge graph analyses were performed, examining trends such as annual publication volume, country/region distribution, institutional affiliations, journal sources, subject categories, and research databases, as well as research hotspots and frontier developments. This analysis offers valuable insights into the current state of rock porosity structure research, shedding light on its progress and providing references for further advancing research in this area. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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<p>PRISMA flow diagram.</p>
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<p>Annual publication volume of journals.</p>
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<p>Co creation of national distribution knowledge graph.</p>
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<p>Knowledge graph of research institution distribution.</p>
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<p>Knowledge graph of major journal distribution.</p>
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<p>Knowledge graph of author distribution in the research.</p>
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<p>Knowledge graph of keyword distribution.</p>
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<p>Column chart of the top ten high-frequency keywords.</p>
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<p>Knowledge graph of keyword time distribution.</p>
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<p>Knowledge graph of keyword clustering distribution.</p>
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<p>Knowledge graph of keyword clustering timeline distribution.</p>
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25 pages, 7489 KiB  
Article
Pore Structure and Fractal Characteristics of Inter-Layer Sandstone in Marine–Continental Transitional Shale: A Case Study of the Upper Permian Longtan Formation in Southern Sichuan Basin, South China
by Jianguo Wang, Jizhen Zhang, Xiao Xiao, Ya’na Chen and Denglin Han
Fractal Fract. 2025, 9(1), 11; https://doi.org/10.3390/fractalfract9010011 - 29 Dec 2024
Viewed by 430
Abstract
With the evolution of unconventional oil and gas exploration concepts from source rocks and reservoirs to carrier beds, the inter-layer sandstone carrier bed within marine–continental transitional shale strata has emerged as a significant target for oil and gas exploration. The inter-layer sandstone is [...] Read more.
With the evolution of unconventional oil and gas exploration concepts from source rocks and reservoirs to carrier beds, the inter-layer sandstone carrier bed within marine–continental transitional shale strata has emerged as a significant target for oil and gas exploration. The inter-layer sandstone is closely associated with the source rock and differs from conventional tight sandstone in terms of sedimentary environment, matrix composition, and the characteristics of reservoir microscopic pore development. Preliminary exploration achievements display that the inter-layer sandstone is plentiful in gas content and holds promising prospects for exploration and development. Consequently, it is essential to investigate the gas-rich accumulation theory specific to the inter-layer sandstone reservoir in transitional facies. Pore development characteristics and heterogeneity are crucial aspects of oil and gas accumulation research, as they influence reservoir seepage performance and capacity. This paper employs total organic carbon analysis, X-ray diffraction, rock thin section examination, field emission scanning electron microscopy, physical analysis, high-pressure mercury intrusion analysis, gas adsorption experiments, and fractal theory to explore the reservoir development characteristics of the sandstone samples from the Upper Permian marine–continental transitional facies Longtan Formation in the southern Sichuan Basin. It also attempts to combine high-pressure mercury intrusion analysis and gas adsorption experiments to describe the structural and fractal characteristics of pores at different scales in a segmented manner. The findings reveal that the sandstone type of the Longtan Formation is mainly lithic sandstone. The pore size distribution of the sandstone primarily falls below 30 nm and above 1000 nm, with the main pore types being inter-granular pores and micro-fractures in clay minerals. The pore volume and specific surface area are largely attributed to the micropores and mesopores of clay minerals. The pore morphology is complex, exhibiting strong heterogeneity, predominantly characterized by slit-like and ink bottle-like features. Notably, there are discernible differences in reservoir structural characteristics and homogeneity between muddy sandstone and non-muddy sandstone. The pore morphology is complex, exhibiting strong heterogeneity, predominantly characterized by slit-like and ink bottle-like features. Notably, there are discernible differences in reservoir structural characteristics and homogeneity between muddy sandstone and non-muddy sandstone. Full article
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<p>(<b>a</b>) Structural background map of Sichuan Basin [<a href="#B2-fractalfract-09-00011" class="html-bibr">2</a>]; (<b>b</b>) paleogeographic map and Sampling Well Locations of the Longtan Formation in the Study Area [<a href="#B47-fractalfract-09-00011" class="html-bibr">47</a>]; and (<b>c</b>) stratigraphic Column of Longtan Formation [<a href="#B47-fractalfract-09-00011" class="html-bibr">47</a>].</p>
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<p>Comparison diagram of sandstone component content of Longtan Formation.</p>
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<p>(<b>a</b>) XRD pattern; and (<b>b</b>) sandstone type triangle diagram of Longtan Formation [<a href="#B18-fractalfract-09-00011" class="html-bibr">18</a>,<a href="#B27-fractalfract-09-00011" class="html-bibr">27</a>,<a href="#B41-fractalfract-09-00011" class="html-bibr">41</a>,<a href="#B55-fractalfract-09-00011" class="html-bibr">55</a>].</p>
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<p>(<b>a</b>–<b>f</b>) are sandstone thin section identification of Longtan Formation: (<b>a</b>) the linear contact relationship of minerals and brittle minerals micro-fracture, sample ZG1-8, orthogonal light; (<b>b</b>) directional arrangement of minerals and cementation of carbonate minerals, sample ZG1-6, orthogonal light; (<b>c</b>) muddy components and feldspar dissolution, sample N242-3; (<b>d</b>) authigenic quartz, sample ZG1-1, orthogonal light; (<b>e</b>) siderite enrichment, sample ZG1-3, orthogonal light; and (<b>f</b>) carbonaceous fragment filled with minerals components, sample N242-3. (<b>g</b>–<b>o</b>) are pore types of sandstone reservoir in Longtan Formation: (<b>g</b>) inter-particle pores and inter-crystalline pores of clay minerals, sample GS133-1; (<b>h</b>) clay minerals micro-fracture, sample ZG1-1; (<b>i</b>) brittle minerals intra-particle dissolution pores, sample ZG1-2; (<b>j</b>) quartz distributed inside clay minerals, sample N242-3; (<b>k</b>) inter-crystalline pores in brittle mineral aggregates, sample YJ1-6; (<b>l</b>) brittle minerals inter-particle fracture, sample GS133-1; (<b>m</b>) brittle minerals micro-fracture, sample ZG1-1; and (<b>n</b>,<b>o</b>), carbonaceous fragment and wood fiber filled in it, sample ZG1-1 and ZG1-8.</p>
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<p>Comparison diagram of pore structure parameters of sandstone in Longtan Formation.</p>
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<p>Mercury saturation curves of different types of Longtan formation sandstone.</p>
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<p>N<sub>2</sub> adsorption–desorption isotherms of Longtan formation sandstone.</p>
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<p>CO<sub>2</sub> adsorption–desorption isotherms of Longtan formation sandstone.</p>
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<p>The pore size to PV joint characterization diagram of different grain size sandstone in Longtan Formation.</p>
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<p>Relationship diagram between lg (<span class="html-italic">S<sub>Hg</sub></span>) and lg (<span class="html-italic">P<sub>c</sub></span>) based on HPMI data.</p>
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<p>Relationship curve of ln(<span class="html-italic">V</span>) to ln (ln(<span class="html-italic">P</span><sub>0</sub>/<span class="html-italic">P</span>)) based on N<sub>2</sub> adsorption experimental data.</p>
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<p>(<b>a</b>) Correlation heat map between different parameters of Longtan Formation sandstone; and (<b>b</b>) interrelation between the PV and SSA and TOC.</p>
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<p>Relationship between pore structure parameters and porosity (<b>a</b>,<b>b</b>) and permeability (<b>c</b>,<b>d</b>) in different sandstone types.</p>
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<p>Correlation between pore fractal dimensions of different scale pores and grain size (<b>a</b>) and pore structure parameters (<b>b</b>–<b>d</b>).</p>
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<p>Correlation between pore fractal dimensions of different scale pores and porosity (<b>a</b>) and permeability (<b>b</b>–<b>d</b>).</p>
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<p>Interrelation between pore fractal dimensions of different scale pores and clay minerals, quartz, carbonate minerals, and TOC (<b>a</b>–<b>c</b>,<b>e</b>); and correlation between TOC and fractal dimensions of different scale pores in muddy and non-muddy sandstone (<b>d</b>,<b>f</b>).</p>
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22 pages, 12515 KiB  
Article
Stress Zoning Characteristics and Migration of Leaked Methane from Gas Wells Penetrating Protective Coal Pillars in Longwall Mining Areas
by Jinhang Shen, Shun Liang, Yisong Hao, Zhi Ma, Weisheng He, Xu Liang, Shaoyou Xu and Changheng Luo
Processes 2025, 13(1), 47; https://doi.org/10.3390/pr13010047 - 28 Dec 2024
Viewed by 466
Abstract
There are a large number of abandoned or casing-damaged oil/gas wells in the western mining areas of China. Under the influence of mining-induced stress, the methane leaked from the oil and gas wells will be transported through fracture within the coal pillar to [...] Read more.
There are a large number of abandoned or casing-damaged oil/gas wells in the western mining areas of China. Under the influence of mining-induced stress, the methane leaked from the oil and gas wells will be transported through fracture within the coal pillar to the longwall working face, which will seriously threaten the safe mining of coal resources. There is no mandatory standard for the practice of coal pillars in coal and gas wells in coal/gas overlapping areas, and the problems of oversized coal pillars and waste of coal resources have occurred during the implementation. In this study, through finite element numerical simulation, three different sizes of protective coal pillars are modeled in the background of Shuangma Coal Mine. The impacts of different heights and widths of protective coal pillars on the evolution of stresses and the diffusion process of leaked methane are explored, and the spatial and temporal migration law of leaked methane under multi-field coupling is revealed. The results show that under mining-induced stress, the size of the protective coal pillar has a significant effect on the stress distribution and methane transport law. Compared with the 130 m coal pillar, the peak stress of the 150 m coal pillar decreased by 6.7%, and the peak stress of the 180 m coal pillar decreased by 9%. At 150 m and 180 m widths, the permeability difference between the two sides is only 1 mD, and the diffusion ranges are similar. From the stress distribution and gas diffusion law, it is shown that the effect achieved by 150 m and 180 m coal pillars is similar. This work is of great significance for the reasonable remaining protective coal pillars for oil/gas wells penetrating longwall mining areas, as well as the prevention and control of disasters caused by leaked methane from wells. Full article
(This article belongs to the Special Issue Advances in Coal Processing, Utilization, and Process Safety)
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<p>Histogram of the coal seam of Shuangma Coal Mine.</p>
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<p>FLAC3D geological model.</p>
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<p>Schematic diagram of the simulation scheme ((<b>a</b>) schemes of varying widths (<b>b</b>) schemes of varying heights).</p>
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<p>Cloud diagram of vertical stress distribution within protective coal pillars of gas wells of different dimensions ((<b>a</b>) different widths and (<b>b</b>) different heights).</p>
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<p>Vertical stress distribution in each rock layer of the protective coal pillar is achieved by gas wells of different widths.</p>
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<p>Vertical stress distribution in each rock layer of protective coal pillar by gas wells with different heights.</p>
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<p>Vertical stress distribution line diagram inside the protective coal pillar of gas wells with different widths and heights.</p>
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<p>Location of the abandoned gas wells and range of protective coal pillars in Shuangma coal mine.</p>
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<p>Model construction and meshing in COMSOL Multiphysics 6.2 (COMSOL Co., Ltd, Shanghai, China).</p>
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<p>Spatiotemporal evolution cloud diagram of permeability of protective coal pillar with a width of 130 m.</p>
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<p>Spatiotemporal evolution cloud diagram of permeability of protective coal pillar with a width of 150 m.</p>
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<p>Spatiotemporal evolution cloud diagram of permeability of protective coal pillar with a width of 180 m.</p>
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<p>Line plots of the spatial and temporal evolution of permeability of protective coal pillars of different widths ((<b>a</b>) 130 m, (<b>b</b>) 150 m, and (<b>c</b>) 180 m).</p>
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<p>Spatiotemporal evolution cloud diagram of permeability at 1 m height of protective coal pillar.</p>
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<p>Spatiotemporal evolution cloud diagram of permeability at 2 m height of the protective coal pillar.</p>
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<p>Spatiotemporal evolution cloud diagram of permeability at 4 m height of the protective coal pillar.</p>
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<p>Line plots of the spatial and temporal evolution of permeability of protective coal pillars at different heights ((<b>a</b>) 1 m, (<b>b</b>) 2 m, and (<b>c</b>) 4 m).</p>
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<p>Vertical stress development ahead of longwall 301 [<a href="#B29-processes-13-00047" class="html-bibr">29</a>].</p>
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33 pages, 5583 KiB  
Article
Bibliometric and Co-Occurrence Study of the Production of Bioethanol and Hydrogen from African Palm Rachis (2003–2023)
by Luis Ángel Castillo-Gracia, Néstor Andrés Urbina-Suarez and Ángel Darío González-Delgado
Sustainability 2025, 17(1), 146; https://doi.org/10.3390/su17010146 - 27 Dec 2024
Viewed by 718
Abstract
Today, the world is increasingly concerned about energy and environmental challenges, and the search for renewable energy sources has become an unavoidable priority. In this context, Elaeis guineensis (better known as the African oil palm) has been placed in the spotlight due to [...] Read more.
Today, the world is increasingly concerned about energy and environmental challenges, and the search for renewable energy sources has become an unavoidable priority. In this context, Elaeis guineensis (better known as the African oil palm) has been placed in the spotlight due to its great potential and specific characteristics for the production of alternative fuels in the search for sustainable energy solutions. In the present study, bibliometric and co-occurrence analyses are proposed to identify trends, gaps, future directions, and challenges related to the production of bioethanol and hydrogen from oil palm rachis, using VOSviewer v.1.6.20 as a tool to analyze data obtained from SCOPUS. A mapping of several topics related to bioethanol and hydrogen production from oil palm bagasse or rachis is provided, resulting in contributions to the topic under review. It is shown that research is trending towards the use of oil palm rachis as a raw material for hydrogen production, consolidating its position as a promising renewable energy source. The field of hydrogen production from renewable sources has undergone constant evolution, and it is expected to continue growing and playing a significant role in the transition towards cleaner and more sustainable energy sources, potentially involving the adoption of innovative technologies such as solar-powered steam generation. From an economic point of view, developing a circular economy approach to bioethanol and hydrogen production from oil palm rachis and waste management will require innovations in material design, recycling technologies, and the development of effective life cycle strategies that can be evaluated through computer-assisted process simulation. Additionally, the extraction and purification of other gases during the dark fermentation method contribute to reducing greenhouse gas emissions and minimizing energy consumption. Ultimately, the sustainability assessment of bioethanol production processes is crucial, employing various methodologies such as life cycle assessment (LCA), techno-economic analysis, techno-economic resilience, and environmental risk assessment (ERA). This research is original in that it evaluates not only the behavior of the scientific community on these topics over the past 20 years but also examines a less-studied biofuel, namely bioethanol. Full article
(This article belongs to the Special Issue Sustainable Waste Management and Recovery)
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<p>Flowchart describing the process of document collection and bibliometric analysis.</p>
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<p>Number of publications per year for “bioethanol AND palm”.</p>
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<p>Distribution of documents per type indexed in Scopus for the path “bioethanol AND Palm”.</p>
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<p>Number of publications by the top 15 countries for the path “Bioethanol AND palm” from 2003 to 2023.</p>
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<p>Number of publications by the top 5 South American countries for the path “Bioethanol AND Palm” from 2003 to 2023.</p>
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<p>Number of research and review papers and citations from 2009 to 2023.</p>
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<p>Link and co-occurrence map for the search path “Bioethanol AND palm”.</p>
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<p>Research trends map with the time for the searching path “Bioethanol AND palm”.</p>
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<p>Number of publications per year for the search route “Hydrogen AND palm AND empty bunches”.</p>
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<p>Distribution of document types indexed in Scopus for the search route “Hydrogen and palm AND empty bunches”.</p>
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<p>Number of publications by the top 15 countries for the path “Hydrogen and palm and empty bunches” from 2003 to 2023.</p>
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<p>Number of publications by the main 3 American countries for the path “Hydrogen AND palm AND empty bunches” from 2009 to 2023.</p>
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<p>Number of documents and citations from 2009 to 2023.</p>
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<p>Map of connections and co-occurrences for the search query “Hydrogen AND palm AND empty bunches”.</p>
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<p>Research trends map with the time for the searching path “Hydrogen AND palm AND empty bunches”.</p>
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23 pages, 3547 KiB  
Review
Produced Water Treatment Technologies: A Review
by Cilia Abdelhamid, Abdeldjalil Latrach, Minou Rabiei and Kalyan Venugopal
Energies 2025, 18(1), 63; https://doi.org/10.3390/en18010063 - 27 Dec 2024
Viewed by 518
Abstract
The oil and gas industry’s view of water production, once regarded primarily as a waste stream, has shifted in recent years due to the growing environmental and economic challenges. Industries now recognize the substantial volumes of water produced during production operations and are [...] Read more.
The oil and gas industry’s view of water production, once regarded primarily as a waste stream, has shifted in recent years due to the growing environmental and economic challenges. Industries now recognize the substantial volumes of water produced during production operations and are actively exploring alternative water management strategies. Among these, water treatment stands out as a leading approach, aimed at purifying the water to achieve specific element concentrations suited for targeted applications. The produced water from oil and gas reservoirs is a complex mixture of various organic and inorganic compounds, as well as dissolved and suspended solids. It is considered a highly contaminated waste stream, making effective treatment essential to meet future critical water demand. The physical and chemical properties of the produced water vary depending on the extraction location, geological formations, and type of hydrocarbon produced. This review examines multiple treatment methods used for the beneficial reuse of produced water, covering physical, chemical, and biological techniques, along with examples demonstrating their effectiveness in field case studies. Full article
(This article belongs to the Section B: Energy and Environment)
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<p>Produced Water Totals in the US by year.</p>
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<p>Water Production in the State of Wyoming by year.</p>
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<p>TDS, elements, and their concentration present in the produced water in Wyoming.</p>
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<p>Ion exchange process.</p>
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<p>Diagram of MSF process, [<a href="#B27-energies-18-00063" class="html-bibr">27</a>].</p>
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<p>Diagram of MED process [<a href="#B27-energies-18-00063" class="html-bibr">27</a>].</p>
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<p>An example of the VCD process [<a href="#B32-energies-18-00063" class="html-bibr">32</a>].</p>
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<p>Membrane distillation principle [<a href="#B27-energies-18-00063" class="html-bibr">27</a>].</p>
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<p>Electrodialysis in operation [<a href="#B37-energies-18-00063" class="html-bibr">37</a>].</p>
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<p>Capacitive deionization process [<a href="#B44-energies-18-00063" class="html-bibr">44</a>].</p>
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19 pages, 2965 KiB  
Article
Integrated Prediction of Gas Metal Arc Welding Multi-Layer Welding Heat Cycle, Ferrite Fraction, and Joint Hardness of X80 Pipeline Steel
by Chen Yan, Haonan Li, Die Yang, Yanan Gao, Jun Deng, Zhihang Zhang and Zhibo Dong
Crystals 2025, 15(1), 14; https://doi.org/10.3390/cryst15010014 - 26 Dec 2024
Viewed by 398
Abstract
X80 pipeline steel is widely used in oil and gas pipelines because of its excellent strength, toughness, and corrosion resistance. It is welded via gas metal arc welding (GMAW), risking high cold crack sensitivities. There is a certain relationship between the joint hardness [...] Read more.
X80 pipeline steel is widely used in oil and gas pipelines because of its excellent strength, toughness, and corrosion resistance. It is welded via gas metal arc welding (GMAW), risking high cold crack sensitivities. There is a certain relationship between the joint hardness and cold crack sensitivity of welded joints; thus, predicting the joint hardness is necessary. Considering the inefficiency of welding experiments and the complexity of welding parameters, we designed a set of processes from temperature field analysis to microstructure prediction and finally hardness prediction. Firstly, we calculated the thermal cycle curve during welding through multi-layer welding numerical simulation using the finite element method (FEM). Afterwards, BP neural networks were used to predict the cooling rates in the temperature interval that ferrite nuclears and grows. Introducing the cooling rates to the Leblond function, the ferrite fraction of the joint was given. Based on the predicted ferrite fraction, mapping relationships between joint hardness and the joint ferrite fraction were built using BP neural networks. The results shows that the error during phase fraction prediction is less than 8%, and during joint hardness prediction, it is less than 5%. Full article
(This article belongs to the Special Issue Advanced High-Strength Steel)
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<p>Hardness prediction flow chart of X80 pipeline steel.</p>
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<p>A schematic diagram of the typical structure of a BP neural network.</p>
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<p>Schematic diagram of the weld groove morphology, welding sequence, and measurement points of the welding thermal cycle curve: (<b>a</b>) weld groove morphology, (<b>b</b>) welding sequence, (<b>c</b>) measurement points of the welding thermal cycle curve.</p>
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<p>Phase fraction statistics and hardness testing process.</p>
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<p>Simulated welding temperature field and its proofread: (<b>a</b>) simulated welding temperature field using the finite element method, (<b>b</b>) validation of the computational model based on molten pool morphology, (<b>c</b>) simulated thermal cycle curve using the finite element method, (<b>d</b>) comparison of simulated and measured thermal cycle curves.</p>
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<p>Prediction results of the cooling section of the welding thermal cycle curve: (<b>a</b>) Comparison of neural network prediction results with FEM calculation results, (<b>b</b>) simplified results of the cooling curve in the phase transformation interval.</p>
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<p>Joint microstructure morphologies and their phase fractions in: (<b>a</b>) root welding, (<b>b</b>) hot welding, (<b>c</b>) filling 1, (<b>d</b>) filling 2, (<b>e</b>) filling 3, (<b>f</b>) filling 4, (<b>g</b>) filling 5, (<b>h</b>) cover welding 1, (<b>i</b>) cover welding 2.</p>
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<p>CCT curve measurement results and the relationship between ferrite fraction and cooling rate: (<b>a</b>) CCT curve, (<b>b</b>) relationship between ferrite fraction and <math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mn>8</mn> <mo>/</mo> <mn>5</mn> </mrow> </msub> </semantics></math>.</p>
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<p>Ferrite fraction prediction results of the joint.</p>
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<p>The relationship between joint hardness and ferrite fraction, the training process MSE curve, and the prediction results of joint hardness: (<b>a</b>) the relationship between joint hardness and ferrite fraction, (<b>b</b>) MSE curve, (<b>c</b>) hardness prediction results.</p>
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13 pages, 2256 KiB  
Article
Risk and Pollutant Protective Concentration Levels of Drilling Waste Used to Pave Oil and Gas Field Well Sites
by Jinzhong Yang, Yufei Yang, Lu Tian, Jinliang Zhou and Yiou Wang
Water 2025, 17(1), 30; https://doi.org/10.3390/w17010030 - 26 Dec 2024
Viewed by 315
Abstract
Paving oil and gas field well sites of drilling waste allow us to reuse solid waste. However, to keep the risk within acceptable limits, some questions need to be answered: what is the dilution effect that soil and groundwater have on the transport [...] Read more.
Paving oil and gas field well sites of drilling waste allow us to reuse solid waste. However, to keep the risk within acceptable limits, some questions need to be answered: what is the dilution effect that soil and groundwater have on the transport of pollutants? What is the minimum concentration of pollutants leached from drill wastes? In this study, we focus on the paving of well sites using drilling wastes, and we analyze the pollutant migration pattern in the soil vadose zone and groundwater mixing zone after rainwater leaching. The drilling waste pollutant protective concentration level (PCL) and the corresponding dilution attenuation factor (DAF) were then proposed. In addition, the PCL’s accessibility, uncertainty, and environmental significance were further analyzed. It was found that the pollutant dilution factor (DF) of the groundwater mixed zone was strongly influenced by the thickness of the mixed zone, the groundwater Darcy rate, the length of the contaminant source, and the permeability, and each contributed approximately 25%. The soil vadose zone attenuation factor (AF) was primarily influenced by the soil vadose zone (i.e., groundwater depth) thickness that contributed approximately 53%. The contaminant DAF values of the well site drilling waste paving (e.g., the soil vadose zone thickness ranged from 5 to 30 m) ranged from 12 to 84. Additionally, the PCL values of the contaminants ranged from 12 to 84 times of the acceptable concentration (e.g., the Class III permissible limits of the Groundwater Quality Standards GB/T 14848-2017) at the groundwater compliance point. The expression for the exponential relationship between the DAF or PLC and the depth of the soil vadose zone was also provided in this study. The study results provide a reference for the actual process of the use of drilling wastes to pave well sites and for solid waste treatment or soil remediation decision-making and the associated risk assessment procedures. Full article
(This article belongs to the Special Issue Management of Solid Waste and Landfill Leachate)
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<p>Pollutant protective concentration levels of pollutant based on migration pathway (<b>a</b>) and logic structure diagram (<b>b</b>). <span class="html-italic">C</span><sub>2</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of the groundwater mixing zone (Zone C in (<b>a</b>)); <span class="html-italic">C</span><sub>1</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of end of the soil vadose zone (end of Zone B in (<b>a</b>)); <span class="html-italic">C</span><sub>0</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of the end of drilling waste (end of Zone A in (<b>a</b>)); <span class="html-italic">PCL</span> is defined as protective pollutant concentration levels; <span class="html-italic">DF</span> is defined as the pollutant dilution factor; <span class="html-italic">AF</span> is defined as the attenuation factor.</p>
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<p>Pollutant protective concentration levels of pollutant based on migration pathway (<b>a</b>) and logic structure diagram (<b>b</b>). <span class="html-italic">C</span><sub>2</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of the groundwater mixing zone (Zone C in (<b>a</b>)); <span class="html-italic">C</span><sub>1</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of end of the soil vadose zone (end of Zone B in (<b>a</b>)); <span class="html-italic">C</span><sub>0</sub> is defined as the heavy metal and petroleum hydrocarbon concentration of the end of drilling waste (end of Zone A in (<b>a</b>)); <span class="html-italic">PCL</span> is defined as protective pollutant concentration levels; <span class="html-italic">DF</span> is defined as the pollutant dilution factor; <span class="html-italic">AF</span> is defined as the attenuation factor.</p>
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<p>Conceptual model of the drilling waste paving well site.</p>
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<p>Sensitivity analyses of DA and AF.</p>
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<p>Relationship between DAF and soil vadose zone thickness (z): (<b>a</b>) DAF of TPH and z; (<b>b</b>) DAF of Se and z; (<b>c</b>) DAF of Ba and z; (<b>d</b>) DAF of Pb and z; (<b>e</b>) DAF of Cr<sup>6+</sup> and z; (<b>f</b>) DAF of Ni and z; (<b>g</b>) DAF of Zn and z; (<b>h</b>) DAF of Mo and z; (<b>i</b>) DAF of As and z; (<b>j</b>) DAF of Cu and z; (<b>k</b>) DAF of Co and z; (<b>l</b>) DAF of Mn and z; (<b>m</b>) DAF of Hg and z; (<b>n</b>) DAF model general formula.</p>
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<p>PCLs of pollutants in the drilling wastes for different soil vadose zone thicknesses.</p>
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<p>Contaminant concentrations in the drilling wastes ((<b>a</b>) this work and (<b>b</b>) literature).</p>
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