A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns

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

(2022) Hongqing Song et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Coalbed Methane Production Model Based on Random Forests Optimized by a Genetic Algorithm

(2022) Jie Zhu et al.   ACS Omega

An integrated framework based on deep learning algorithm for optimizing thermochemical production in heavy oil reservoirs

(2022) Yuhao Zhou et al.   ENERGY

Long short-term memory suggests a model for predicting shale gas production

(2022) Run Yang et al.   APPLIED ENERGY

A Unified Pore Network Model for Evaluation of Permeability, Relative Permeability, and Sealing Capacity From Mercury Intrusion Measurement

(2022) Yunlai Yang   SPE JOURNAL

Prediction of coalbed methane production based on deep learning

(2021) Zixi Guo et al.   ENERGY

Single-well production history matching and geostatistical modeling as proxy to multi-well reservoir simulation for evaluating dynamic reservoir properties of coal seams

(2021) C. Özgen Karacan   INTERNATIONAL JOURNAL OF COAL GEOLOGY

A framework for predicting the production performance of unconventional resources using deep learning

(2021) Sen Wang et al.   APPLIED ENERGY

Numerical simulation of gas production from natural gas hydrate deposits with multi-branch wells: Influence of reservoir properties

(2021) Panpan Zhang et al.   ENERGY

Numerical simulation and production prediction assessment of Takigami geothermal reservoir

(2021) Saeid Jalilinasrabady et al.   ENERGY

Robust Life-Cycle Production Optimization With a Support-Vector-Regression Proxy

(2018) Zhenyu Guo et al.   SPE JOURNAL

Challenges and Opportunities of Coalbed Methane Development in China

(2017) Hon Chung Lau et al.   ENERGY & FUELS

A comprehensive model to history match and predict gas/water production from coal seams

(2015) Ahmed Farid Ibrahim et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Numerical investigation of gas flow rate in shale gas reservoirs with nanoporous media

(2015) Hongqing Song et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Numerical simulation of hydraulic fracturing coalbed methane reservoir

(2014) Jingchen Zhang   FUEL

Production data analysis of unconventional gas wells: Workflow

(2012) C.R. Clarkson   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting production performance of CBM reservoirs

(2009) K. Aminian et al.   Journal of Natural Gas Science and Engineering

The use of numerical simulation in predicting coalbed methane producibility from the Gates coals, Alberta Inner Foothills, Canada: Comparison with Mannville coal CBM production in the Alberta Syncline

(2008) Thomas Gentzis et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY