Development of shale gas production prediction models based on machine learning using early data

A Production Prediction Method for Shale Gas Wells Based on Multiple Regression

(2021) Wente Niu et al.   Energies

Socio-Inspired Multi-Cohort Intelligence and Teaching-Learning-Based Optimization for Hydraulic Fracturing Parameters Design in Tight Formations

(2021) Temoor Muther et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir

(2020) Viet Nguyen-Le et al.   Energies

New Model for Production Prediction of Shale Gas Wells

(2020) Zhiming Hu et al.   ENERGY & FUELS

An Integrated Machine-Learning Approach to Shale-Gas Supply-Chain Optimization and Refrac Candidate Identification

(2019) Hope I. Asala et al.   SPE RESERVOIR EVALUATION & ENGINEERING

A new fully probabilistic methodology and a software for assessing uncertainties and managing risks in shale gas projects at any maturity stage

(2018) Murat Fatih Tugan et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A multiscale-multiphase simulation model for the evaluation of shale gas recovery coupled the effect of water flowback

(2017) Peng Cao et al.   FUEL

Decline curve analysis using rate normalized pseudo-cumulative function in a boundary dominated gas reservoir

(2017) Md. Shahin Alom et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A fully coupled multiscale shale deformation-gas transport model for the evaluation of shale gas extraction

(2016) Peng Cao et al.   FUEL

A review of the issues and treatment options for wastewater from shale gas extraction by hydraulic fracturing

(2016) José M. Estrada et al.   FUEL

Full field reservoir modeling of shale assets using advanced data-driven analytics

(2016) Soodabeh Esmaili et al.   Geoscience Frontiers

The concept and the accumulation characteristics of unconventional hydrocarbon resources

(2015) Yan Song et al.   Petroleum Science

Regulating hydraulic fracturing in shale gas plays: The case of Texas

(2011) Dianne Rahm   ENERGY POLICY

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Reliable inference for the Gini index

(2009) Russell Davidson   JOURNAL OF ECONOMETRICS

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY