Bayesian and Neural Network Approaches to Estimate Deep Temperature Distribution for Assessing a Supercritical Geothermal System: Evaluation Using a Numerical Model
Kazuya Ishitsuka, Yosuke Kobayashi, Norihiro Watanabe, Yusuke Yamaya, Elvar K. Bjarkason, Anna Suzuki, Toru Mogi, Hiroshi Asanuma, Tatsuya Kajiwara, T Sugimoto, Ryoichi Saito
Topics & Concepts
Geothermal gradientArtificial neural networkBenchmark (surveying)Machine learningGeologyField (mathematics)Artificial intelligenceGeophysicsComputer scienceData miningPetroleum engineeringMathematicsGeodesyPure mathematicsGroundwater flow and contamination studiesGeochemistry and Geologic MappingHydrocarbon exploration and reservoir analysis