Bifidelity Gradient-Based Approach for Nonlinear Well-Logging Inverse Problems

Solving a nonlinear inverse problem is challenging in computational science and engineering. Sampling-based methods require a large number of model evaluations; gradient-based methods require fewer model evaluations but only find the local minima. Multifidelity optimization combines the low-fidelity model and the high-fidelity model to achieve both high accuracy and high efficiency. In this articl...