Model-reduced gradient-based history matching

Gradient-based history matching algorithms can be used to adapt the uncertain parameters in a reservoir model using production data. They require, however, the implementation of an adjoint model to compute the gradients, which is usually an enormous programming effort. We propose a new approach to gradient-based history matching which is based...

Variational estimation of permeability and model errors from 3D and 4D seismic data using model-driven regularization

Comparison of the ensemble Kalman filter and a modified representer method for sensitivity to prior data

An efficient gradient-based parameter estimation algorithm using representer expansions