Inversão de dados em eletrorresistividade 1D usando algoritmo de otimização de baleias

Abstract

This study presents an innovative approach to addressing the challenge of one-dimensional (1D) electrical resistivity inversion using the global optimization algorithm inspired by the behavior of humpback whales (Whale Optimization Algorithm - WOA). Over the past twenty years, global optimization methods have gained prominence in geophysics due to their ability to perform inversions without relying on gradient information or an initial model. In this study, we implemented WOA to enhance the accuracy of the generated models. The algorithm’s effectiveness was evaluated through tests on synthetic models, with the addition of 5% Gaussian noise, as well as on real data. The results demonstrated not only efficient inversion but also a significant reduction in the uncertainty associated with the estimated models