This session welcomes all papers related to numerical modeling, high performance computing, machine learning, and data analytics in oilfield services, geothermal exploration, CO2 sequestration, mining, etc. This session aims at presenting frontier research in the theory, modeling, inversion, interpretation, and especially, machine learning applications for solving multiphysics (e.g., electromagnetic, seismic, acoustic) problems and improving the interpretations of borehole and surface surveys. All research related to underground resources explorations is very welcome: new tool design concept, efficient analytic solutions in complex medium, hybrid numerical modeling method, joint inversion method, meta-heuristic and deterministic inversion method, advanced interpretation, numerical modeling, and inversion based on machine learning method, and so on.