Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Android device shake detection.

Fast Python library for SEGY files.

SPECFEM3D Cartesian simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, or poroelastic seismic wave propagation in any type of conforming mesh of hexahedra (structured & unstructured).

Deep Learning for Seismic Imaging and Interpretation

OpenQuake Engine: a software for Seismic Hazard and Risk Analysis

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

A scientific software for the numerical simulation of seismic wave phenomena and earthquake dynamics

The CWP/SU: Seismic Un*x Package - a free open seismic processing, research, and educational software package. Please seek distribution gzipped tar files at https://wiki.Seismic-Unix.org not the Github version.

Seismic Waveform Inversion Toolbox

A couple of python scripts to interpret geological structures from geophysical images using deep learning

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

SPECFEM2D simulates forward and adjoint seismic wave propagation in two-dimensional acoustic, (an)elastic, poroelastic or coupled acoustic-(an)elastic-poroelastic media, with Convolution PML absorbing conditions.

DEPRECATED in favor of our newer libraries (see www.fatiando.org). Python toolkit for modeling and inversion in geophysics.

Deep-learning inversion: A next-generation seismic velocity model building method

3D viewer and post processing of reservoir models

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

Python framework for seismic noise tomography

A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method

A Python package for automatic earthquake detection and location using waveform migration and stacking.

A Seismic Wave Propagation Code by Parallel Finite Difference Method

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

An example repo to get started building apps on Seismic

SW4 (Seismic Waves, 4th order) implements substantial capabilities for 3-D seismic modeling, with a free surface condition on the top boundary, absorbing super-grid conditions on the far-field boundaries, and an arbitrary number of point force and/or point moment tensor source terms.

Seismic Foundation Model

Execution client for Seismic

SEISMIC_CPML is a set of sixteen open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions, developed by Dimitri Komatitsch and Roland Martin from CNRS, France.

2D/3D serial and parallel triangular mesh generation tool for finite element methods.

Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks