AI RESEARCH
Robustness and Transferability of Pix2Geomodel for Bidirectional Facies Property Translation in a Complex Reservoir
arXiv CS.CV
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ArXi:2605.03919v1 Announce Type: cross Reservoir geomodeling is central to subsurface characterization, but it remains challenging because conditioning data are sparse, geological heterogeneity is strong, and conventional geostatistical workflows often struggle to capture nonlinear relationships between facies and petrophysical properties. This study evaluates the robustness and transferability of Pix2Geomodel on a different and complex reservoir dataset with reduced vertical.