Informer-Based High-Order Geometrical Factor for Modeling Array Induction Logging in Layered Formations (opens in new tab)

This article presents an informer-based framework for efficient simulation of array induction logging (AIL) responses in layered isotropic and anisotropic formations. To overcome the limitations of computationally expensive pseudo-analytical methods and data-driven approaches with poor generalization, we propose a residual response learning scheme based on the geometrical factor (GF) theory. The method decomposes the total response into a low-order GF approximation and a high-order residual r...