Author

Gang Hui

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Sep 2026

Machine Learning Optimization of Geothermal Potential Prediction with Key Control Quantification: A Case Study from Alberta's Basal Cambrian Sandstone Unit

Accurately predicting geothermal potential in sedimentary basins is critical for de-risking exploration. This study develops a robust machine learning (ML) framework that prioritizes predictive integrity through rigorous model benchmarking and interpretability analysis. Using the Lower Cambrian sandstone in the Alber...

Feng Ni, Dan Wu, Yu-Jie Zhang et al. · GOTECH · 0 citations

Open access Aug 2026

Physics-Constrained AI-Assisted Flowing Material Balance for Productivity Evaluation During High-Volume, Long-Duration Flowback in Ultra-Deep Wells

High-volume, long-duration flowback in ultra-deep fractured wells couples pressure, rate, water production, fracture conductivity, and stress-sensitive reservoir properties, making it difficult for pressure transient analysis (PTA), flowing material balance (FMB), and rate transient analysis (RTA) to maintain parameter...

Jiaqi Li, Fei-Wen Wang, Wan Zhu et al. · Processes · 0 citations

Review Open access Aug 2026

Managing hydraulic fracturing-induced seismicity in the Duvernay shale: Triggering mechanisms, influencing factors, and practice-oriented mitigation strategies

This review provides a Duvernay-focused synthesis of hydraulic fracturing (HF)-induced seismicity, integrating geological datasets, case studies of significant events, coupled poroelastic simulations, and machine-learning-based factor ranking. While the three underlying triggering mechanisms—pore pressure increase, por...

Gang Hui, Zhi-Yang Pi, Chenqi Ge et al. · International Journal of Coa... · 1 citation