Ensemble Kalman Inversion (EKI) is a computational framework aimed at addressing inverse problems – the process of inferring unknown parameters or functions from observable data. In an inverse problem ...
A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon ...