An Open Source python module for rapid prototyping Distributed Acoustic Sensing (DAS) processing flows

Explore CO2 emissions by year

Code to run through entire processing and prediction process of our DAS microseismic prediction ML workflow.

Automatic Microseismic Locating Workflow Based on Deep Learning and Waveform Migration

python codes used for geophysical alarms at AVO

Tests on the performance of distributed acoustic sensing (DAS).

Post-stack and prestack phase-shift plus interpolation migration

Seismic Waveform Inversion Toolbox

Open Educational Resource for Geophysical Computing

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

This repo shows how to use SEISCOPE optimization toolbox Fortran code from Python

Low frequency processing for DAS data dependent on JIN_pylib

Some FD simulations with Marmousi data

An open-source package for multiparameter FWI in isotropic-, anisotropic- and visco-elastic media

Elastic Full-Waveform Inversion Integrated with PyTorch

Automated and Continuous Near-surface characterization Using Vehicle-induced DAS signals

Automated and Continuous Near-surface characterization Using Vehicle-induced DAS signals

Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to benchmark the performance of PINNs across various hardware a…

After reading the paper Physics-informed neural networks(https://www.sciencedirect.com/science/article/pii/S0021999118307125), I tried to fit heat equation and wave equation with pytorch (while the…

edge based dictionary learning for image denoising

Performance analysis of different implementations of 3D finite difference wave propagation.

Seismic event picking using Matplotlib and machine learning

Seismic data blending and deblending

Wave propagation modules for PyTorch.

Must-read Papers on Physics-Informed Neural Networks.

Double-difference adjoint seismic tomography