Deep Learning for Seismic Imaging and Interpretation

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Julia language support for geophysical time series data

Earthquake source parameters from P- and S-wave displacement spectra

Preprocessing seismic data: download, format changing, and archiving

3D Fault Segmentation by U-Net

🔭 Read, parse seismic data from AnyShake Explorer, stream or archive to database

The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.

A tool for exchanging data between SEG-Y format and NumPy array inside Python environment

Machine Learning/ Deep Learning processing Seismic data

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

🌏 Read voltage counts from three geophones, pack & send data to AnyShake Observer

List of Seedlink, Earthworm, Winston Wave Server DataCenters. Used in: https://www.src.com.au/ and https://github.com/xspanger3770/GlobalQuake

GMG: An open source geophysical modelling GUI

Using convolutional autoencoders to remove random noise from seismic data.

Seismic monitoring experiment investigating hydraulic fracturing within the Kaybob-Duvernay horizon in Alberta. Managed by the University of Calgary.

Detecting Earthquake P-Waves using popular STA/LTA Algorithm with visualization and estimations of Seismometer Trajectory in 3D, S-Wave arrival time and much more.

Seismic inversion

This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"

Data and code to reproduce a 3D Hydrogeological model of the New Jersey shelf