... agreeing with available measurements and thus extend partial point-wise estimates to full tensor fields compatible with the physics of the site. reservoir characterization reservoir geomechanics structural geology optimization problem machine learning bayesian inference model uncertainty pore...

... Abstract Targeting hydrocarbon-rich zones and locating smart wells optimally are critical to oil and gas field development. With model uncertainty being one of the main considerations in well placement, there are several challenges associated with the statistical inference from objective...