Study on multi-factor casing damage prediction method based on machine learning

…, W Zhang, Z Kang, T Yang, Q Tang, K Wang, C Tan - Energy, 2024 - Elsevier
Casing damage is one of the common problems encountered in reservoir development, which
seriously affects the normal production of the oil field. In this study, through the analysis of …

[HTML][HTML] Review of variable speed drive technology in beam pumping units for energy-saving

C Tan, ZM Feng, X Liu, J Fan, W Cui, R Sun, Q Ma - Energy Reports, 2020 - Elsevier
Beam pumping units have been widely used in oilfields worldwide due to its simple structure,
strong field adaptability, and convenient maintenance. Different energy-saving …

Variable speed drive optimization model and analysis of comprehensive performance of beam pumping unit

ZM Feng, C Guo, D Zhang, W Cui, C Tan, X Xu… - Journal of Petroleum …, 2020 - Elsevier
The beam pumping unit has the characteristics of simple structure, reliability and durability. It
is the most widely used artificial lifting method in oil fields worldwide. However, the inherent …

Data-driven system efficiency prediction and production parameter optimization for PW-LHM

C Tan, H Deng, Z Feng, B Li, Z Peng, G Feng - Journal of Petroleum …, 2022 - Elsevier
Heavy oil wells in Tahe oilfield are exploited by injecting light hydrocarbon mixing into
annulus to reduce viscosity, and system efficiency prediction is of great significance for the …

Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells

Q Li, Y Li, H Sun, W Song, H Li, X Gao, C Tan, Y Liu… - Heliyon, 2025 - cell.com
The marginal wells in low-permeability oil fields are characterized by small storage size,
scattered distribution, intermittent production, etc. The construction of large-scale gathering …

Optimization of Profile Control and Oil Displacement Scheme Parameters Based on Deep Deterministic Policy Gradient

C Tan, C Wang, J Tian, HZ Niu, Q Wei, X Zhang - ACS omega, 2023 - ACS Publications
The parameter design of profile control and oil displacement (PCOD) scheme plays an
important role in improving waterflooding efficiency and increasing the oil field production and …

Research on early warning model of electric submersible pump wells failure based on the fusion of physical constraints and data-driven approach

Q Wei, C Tan, X Gao, X Guan, X Shi - Geoenergy Science and Engineering, 2024 - Elsevier
At present, there are too few characteristic parameters for early identification of electric
submersible pump (ESP) wells failures. In addition, existing predictive models rely only on data-…

Fracturing productivity prediction model and optimization of the operation parameters of shale gas well based on machine learning

C Tan, J Yang, M Cui, H Wu, C Wang… - …, 2021 - pubs.geoscienceworld.org
Based on the massive static and dynamic data of 137 fractured wells in WY shale gas block
in Sichuan, China, this paper carried out the analysis of shale gas fracturing production …

[HTML][HTML] Oilfield analogy and productivity prediction based on machine learning: Field cases in PL oilfield, China

WP Bai, SQ Cheng, XY Guo, Y Wang, Q Guo, CD Tan - Petroleum Science, 2024 - Elsevier
In the early time of oilfield development, insufficient production data and unclear understanding
of oil production presented a challenge to reservoir engineers in devising effective …

Fault Diagnosis Method and Application of ESP Well Based on SPC Rules and Real‐Time Data Fusion

…, C Zheng, G Feng, G Du, C Tan… - Mathematical …, 2022 - Wiley Online Library
Aiming at the popularization and application of a real‐time monitoring parameter acquisition
system of the electric submersible pump (ESP) well, this paper proposes a fault diagnosis …