During the development of oil and gas reservoirs, only a small percentage of the subsurface is sampled because of the high costs associated with these projects. Subsurface modeling, adjusted through history matching, approximates the subsurface by interpolating between sparse measurements at the wellbore. Traditional geostatistics and multipliers are used to build these models.
However, these commonly used approaches are limited to statistics and do not include geological understanding of the […]
Generative Artificial Intelligence for Subsurface Modeling and History Matching – JPT
Generative Artificial Intelligence for Subsurface Modeling and History Matching – JPT
