Intelligent optimization based prestack inversion method for high resolution estimation of elastic parameters.

ABSTRACT: Seismic inversion plays a vital role in constructing high-precision subsurface models for reservoir characterization, fault detection, tunnel engineering, and dynamic formation analysis. To improve inversion accuracy and computational efficiency, this study proposes a novel indirect gradient-based pre-stack amplitude variation with angle (AVA) inversion method, termed mayfly algorithm (MA)-based nonlinear AVA inversion (MANAI). The method leverages the MA within a Bayesian framework and utilizes an accurate Jacobian matrix derived from the exact Zoeppritz equations. The core innovation lies in the indirect global optimization strategy, which extracts gradient information from a prior model before initiating the meta-heuristic optimization. This approach eliminates the need to compute refle

SUBMITTER: Zhang W 

PROVIDER: S-EPMC12559728 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature