Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China

Yi, Jun; Qi, ZhongLi; Li, XiangChengZhen; Liu, Hong; Zhou, Wei

doi:10.1016/j.apenergy.2023.122483

Applied Energy

2024

DOI: 10.1016/j.apenergy.2023.122483

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Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China

Jun Yi,

ZhongLi Qi,

XiangChengZhen Li

et al.

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Cited by 11 publications

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Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China

Cited by 11 publications

References 41 publications

A novel domain adaptation method with physical constraints for shale gas production forecasting

A novel domain adaptation method with physical constraints for shale gas production forecasting

A review of machine learning applications to geophysical logging inversion of unconventional gas reservoir parameters

Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste

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