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Published December 2, 2024 | Version v1.1.2
Software Open

liufeng2317/ADFWI: Zenodo

  • 1. ROR icon Shanghai Jiao Tong University
  • 2. ROR icon Shanghai Artificial Intelligence Laboratory

Description

       ADFWI is an open-source framework for high-resolution subsurface parameter estimation by minimizing discrepancies between observed and simulated waveform. Utilizing automatic differentiation (AD), ADFWI simplifies the derivation and implementation of full waveform inversion (FWI), enhancing the design and evaluation of methodologies. It supports wave propagation in various media, including isotropic acoustic, isotropic elastic, and both vertical transverse isotropy (VTI) and horizontal transverse isotropy (HTI) medias.

    In addition, ADFWI provides a comprehensive collection of Objective functionsregularization techniquesoptimization algorithms, and deep neural networks. This rich set of tools facilitates researchers in conducting experiments and comparisons, enabling them to explore innovative approaches and refine their methodologies effectively.

more details  can be found at: https://github.com/liufeng2317/ADFWI

Files

liufeng2317/ADFWI-v1.1.2.zip

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