Machine Learning Surrogate Modeling of Numerical Simulations for Fault-Controlled Geothermal Reservoirs

Nazir Mafakheri Bashmagh

Presentation information

[E] Oral

S (Solid Earth Sciences ) » S-CG Complex & General

[S-CG54] Bridging Pore to Reservoir Scales: Advances in AI, Theory, Measurement, Simulation of Flow&Transport

Wed. May 27, 2026 9:00 AM - 10:30 AM Exhibition Hall Special Setting (7) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Sawayama Kazuki(Institute for Geothermal Sciences, Graduate School of Science, Kyoto University), Ghanbarian Behzad(University of Texas at Arlington), Ishitsuka Kazuya(Kyoto University)

10:00 AM - 10:15 AM

[SCG54-05] Machine Learning Surrogate Modeling of Numerical Simulations for Fault-Controlled Geothermal Reservoirs

*Nazir Mafakheri Bashmagh¹, Anna Suzuki¹ (1. Tohoku University, Institute of Fluid Science )

Keywords:Geothermal reservoir modeling, Machine learning, Surrogate modeling, Inverse modeling, Fault-controlled reservoir , Numerical simulation

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