Evaluation of hydraulic fracturing effect on coalbed methane reservoir based on deep learning method considering physical constraints

Characterization, controlling factors and evolution of fracture effectiveness in shale oil reservoirs

(2021) Lei Gong et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Application of physics-informed neural networks for self-similar and transient solutions of spontaneous imbibition

(2021) Lichi Deng et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of porous media fluid flow using physics informed neural networks

(2021) Muhammad M. Almajid et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Well performance prediction based on Long Short-Term Memory (LSTM) neural network

(2021) Ruijie Huang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

(2020) A. M. Tartakovsky et al.   WATER RESOURCES RESEARCH

A review of experimental and numerical modeling of digital coalbed methane: Imaging, segmentation, fracture modeling and permeability prediction

(2020) Sadegh Karimpouli et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Potential for Prediction of Water Saturation Distribution in Reservoirs Utilizing Machine Learning Methods

(2019) Qitao Zhang et al.   Energies

Applicability of deep neural networks on production forecasting in Bakken shale reservoirs

(2019) Shuhua Wang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Physics-informed neural networks for high-speed flows

(2019) Zhiping Mao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Beyond one-hot encoding: Lower dimensional target embedding

(2018) Pau Rodríguez et al.   IMAGE AND VISION COMPUTING

Seeing permeability from images: fast prediction with convolutional neural networks

(2018) Jinlong Wu et al.   Science Bulletin

Ensemble Neural Networks (ENN): A gradient-free stochastic method

(2018) Yuntian Chen et al.   NEURAL NETWORKS

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Resources and geology of coalbed methane in China: a review

(2017) Yong Qin et al.   INTERNATIONAL GEOLOGY REVIEW

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Experimental and numerical study on hydraulic fracture propagation in coalbed methane reservoir

(2016) Tingting Jiang et al.   Journal of Natural Gas Science and Engineering

Numerical simulation of hydraulic fracturing coalbed methane reservoir with independent fracture grid

(2015) Jingchen Zhang et al.   FUEL

Numerical simulation of hydraulic fracturing coalbed methane reservoir

(2014) Jingchen Zhang   FUEL

Productivity equation of fractured well in CBM reservoirs

(2013) Yu Lou et al.   Journal of Natural Gas Science and Engineering

Estimation of prediction error by using K-fold cross-validation

(2009) Tadayoshi Fushiki   STATISTICS AND COMPUTING