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A High-fidelity Boundary Integral Neural Network (BINN) For Safety Monitoring and Localization Of CO₂ Leakage in Depleted Shale Reservoirs

By: Yina Liu1, Xiang Rao2,*, Qirun Fu3, Hussein Hoteit1
1Physical Science and Engineering (PSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
21.School of Petroleum Engineering, Yangtze University, Wuhan, Hubei, China. 2. State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization (Yangtze University), Wuhan 430100, China. 3. Western Research Institute, Yangtze University, Karamay 834000, China.
3hysical Science and Engineering (PSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
*Corresponding author
Received: 2026-10-16Revised: 2026-10-19Accepted: 2026-10-21
CC BY 4.0
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Yina Liu, Xiang Rao, Qirun Fu, 等. A High-fidelity Boundary Integral Neural Network (BINN) For Safety Monitoring and Localization Of CO₂ Leakage in Depleted Shale Reservoirs[J]. AESIG: 1-6.
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