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 multi-physics (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.