An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
Forward code for the P-SV wave equation on a staggered grid, with full waveform inversion interfaces. Finite difference approach according to stress-velocity formulation.
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
PGNN-FWI: performing physics-guided neural network for FWI
Radar and DC resistivity 2.5D multi-physics inversion suite. Forward modeling, separate inversions, joint inversions.
#计算机科学#Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.
#计算机科学#Official reproducible material for SiameseFWI: A Deep Learning Network for Enhanced Full Waveform Inversion
This is an open source program that contains 3D isotropic forward modeling and full waveform inversion.]
#计算机科学#Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
[ICLR 2025] This is the official repository for the paper “A Unified Framework for Forward and Inverse Problems in Subsurface Imaging Using Latent Space Translations." This work proposes a generalized...
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
WISE: full-Waveform variational Inference via Subsurface Extensions