[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Nguyen-Le et al., 2023 - Google Patents

Deep neural network model for estimating montney shale gas production using reservoir, geomechanics, and hydraulic fracture treatment parameters

Nguyen-Le et al., 2023

Document ID
153824433200339844
Author
Nguyen-Le V
Shin H
Chen Z
Publication year
Publication venue
Gas Science and Engineering

External Links

Snippet

The development of a shale gas project requires an accurate prediction of the production potential owing to the high cost of horizontal well drilling and hydraulic fracturing treatment. Previous research developed models for estimating shale gas production based on the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25—Methods for stimulating production
    • E21B43/26—Methods for stimulating production by forming crevices or fractures
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/14—Obtaining from a multiple-zone well
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/006—Production of coal-bed methane
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/006—Measuring wall stresses in the borehole
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/08—Obtaining fluid samples or testing fluids, in boreholes or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • E21B41/0092—Methods relating to program engineering, design or optimisation
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • E21B2041/0028—Fuzzy logic, artificial intelligence, neural networks, or the like
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells

Similar Documents

Publication Publication Date Title
Hui et al. Machine learning-based production forecast for shale gas in unconventional reservoirs via integration of geological and operational factors
Zerrouki et al. Prediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, Algeria
Mohamadian et al. A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning
Khamehchi et al. A novel approach to sand production prediction using artificial intelligence
Novlesky et al. Shale gas modeling workflow: from microseismic to simulation--a Horn River case study
Kulga et al. Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands
Ma et al. Practical implementation of knowledge-based approaches for steam-assisted gravity drainage production analysis
Nguyen-Le et al. Artificial neural network prediction models for Montney shale gas production profile based on reservoir and fracture network parameters
Temizel et al. Production forecasting in shale reservoirs through conventional DCA and machine/deep learning methods
Chaikine et al. A machine learning model for predicting multi-stage horizontal well production
Abbas et al. Wellbore trajectory optimization using rate of penetration and wellbore stability analysis
Wang et al. Production forecast and optimization for parent-child well pattern in unconventional reservoirs
Jafarizadeh et al. Data driven models to predict pore pressure using drilling and petrophysical data
Nguyen-Le et al. Deep neural network model for estimating montney shale gas production using reservoir, geomechanics, and hydraulic fracture treatment parameters
Tugan et al. A new fully probabilistic methodology and a software for assessing uncertainties and managing risks in shale gas projects at any maturity stage
Park et al. Rapid modeling of injection and production phases of hydraulically fractured shale wells using the fast marching method
Hou et al. Data-driven optimization of brittleness index for hydraulic fracturing
JP7586286B2 (en) Prediction device, prediction method, and program
Rahmanifard et al. A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions
WO2020142257A1 (en) Method and system for evaluating variability in subsurface models to support decision making for hydrocarbon operations
Tripoppoom et al. Assisted history matching for unconventional reservoirs
Omidvar Eshkalak Synthetic geomechanical logs and distributions for Marcellus Shale
Ibrahim et al. Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir
Li et al. Induced microearthquakes predict permeability creation in the brittle crust
Al Jassasi et al. Workflow for integrating geomechanics, hydraulic fracturing, and reservoir simulation to determine Marcellus Shale horizontal well production potential