Forecasting monthly gas field production based on the CNN-LSTM model

Surrogate modeling for porous flow using deep neural networks

(2022) Luhang Shen et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A bagging ensemble machine learning framework to predict overall cognitive function of schizophrenia patients with cognitive domains and tests

(2022) Eugene Lin et al.   Asian Journal of Psychiatry

Prediction of oil well production based on the time series model of optimized recursive neural network

(2021) Yuefei Cheng et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Automatic Reservoir Model Identification Method based on Convolutional Neural Network

(2021) Xuliang Liu et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Oil production forecasting using deep learning for shale oil wells under variable gas-oil and water-oil ratios

(2021) Pedram Mahzari et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization

(2020) Nu Li et al.   ENERGY

Automatic well test interpretation based on convolutional neural network for infinite reservoir

(2020) Xuliang Liu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States

(2019) Qiang Wang et al.   ENERGY

Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: Case studies from the Appalachian basin, USA

(2018) Shuvajit Bhattacharya et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model

(2017) Ioannis P. Panapakidis et al.   ENERGY

A method to improve the stability and accuracy of ANN- and SVM-based time series models for long-term groundwater level predictions

(2016) Heesung Yoon et al.   COMPUTERS & GEOSCIENCES

Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach

(2016) Yun Bai et al.   ENERGY AND BUILDINGS

Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

(2016) Sasan Barak et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term natural gas demand prediction based on support vector regression with false neighbours filtered

(2015) L. Zhu et al.   ENERGY

A mathematical modeling for incorporating energy price hikes into total natural gas consumption forecasting

(2012) V. Majazi Dalfard et al.   APPLIED MATHEMATICAL MODELLING

A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE

(2011) A. Azadeh et al.   APPLIED ENERGY

A comparison of two typical multicyclic models used to forecast the world's conventional oil production

(2011) Jianliang Wang et al.   ENERGY POLICY

An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments

(2009) A. Azadeh et al.   ENERGY POLICY