34 results for “topic:seismic-imaging”
Deep Learning for Seismic Imaging and Interpretation
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Julia Devito inversion.
Teleseismic body wave modeling through stacks of (dipping/anisotropic) layers
An automatic seismology toolset for global P-to-S and S-to-P receiver function imaging
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Seismic inversion
Julia package to perform Kirchhoff migration and demigration
Image gather tools
Developing project for shallow seismic structure imaging
Modeling, inversion and migration focusing on seismic first-arrivals.
Auto-Correlogram Calculation in seismology
Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection
[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 framework to solve forward and inverse problems, utilizing the latent space. We also propose an invertible architecture for the OpenFWI dataset.
Synthetic demonstration of Eikonal tomography
FBD: Multi-channel blind deconvolution with focusing constraints
Shot-profile prestack depth migration algorithm based on a phase-shift plus interpolation (PSPI) wave propagation method.
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification by Siahkoohi, A., Rizzuti, G., and Herrmann, F.J.
Modeling, inversion and migration focusing on seismic first-arrivals.
Reproducible 2-D acoustic Full Waveform Inversion (FWI) on the Marmousi benchmark model using Deepwave and PyTorch automatic differentiation
For Southeast Tibet
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
Born optimized with CUDA
A collection of 3 research note books: inverse problem, sesmic image and mathematical optimization
No description provided.
This repository implements the frequency-domain adapt-then-combine full waveform inversion in Python, a fully distributed version of the FWI suited for seismic networks.
Este repositorio contiene los códigos y modelos utilizados para la realización de mi tesis de pregrado denominada "Segmentación de Fallas Geológicas en imágenes sísmicas ruidosas usando redes neuronales convolucionales".
Software in support of Gravimeters able to detect the vector tidal acceleration of the sun and moon
Minerva Segmenter is a UI to make segmentation in seismic facies using specifically SAM model
Implicit operators for Inverse Problems