Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems

Abstract

The modified physics-informed machine learning PICKLE method for large-scale data assimilation is proposed.• PICKLE method is orders of magnitude faster than traditional a posteriori probability method for the considered high-resolution Hanford model.• Trained for one set of boundary conditions, the PICKLE method can model data for different values of the boundary conditions.