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aimbat

AIMBAT: Automated and Interactive Measurement of Body wave Arrival Times

aimbat-docs

Documentation for AIMBAT, hosted by Sphinx

asofi3d

Anisotropic seismic modeling in time domain.

asp3d

Software Toolkit ActiveSeismoPick3D

awesome-open-geoscience

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

baygrav3d

BayGrav3D is a Bayesian linear gravity inverse modeling program that inverts gravity data to determine the best-fitting densities of spatially discretized 3D subsurface prisms in a least-squares sense. We use a Bayesian approach to incorporate both data uncertainty and prior geophysical constraints, such as seismic data. Gaussian priors are applied to the model parameters as absolute equality constraints. BayGrav3D utilizes Tikhonov regularization as a relative equality constraint that smooths and stabilizes the inversion solution. Given gravity data and a set of priors, the inversion produces a solution to the model parameters (i.e. density) and the full covariance and resolution matrices to quantify the error on the solution. BayGrav3D is capable of working on both local and regional scales and with both simple and complex subsurface geometries. BayGrav3D is written is Matlab, and the release contains an example project with data with which users may test the scripts. A python release is planned sometime in the coming year or so. For more information on the methods, please refer to our paper - Hightower et al. (2020), A Bayesian 3-D linear gravity inversion for complex density distributions: application to the Puysegur subduction system, GJI, v. 223, p. 1899-1918. For using the program, please refer to the documentation (soon to be available on ReadTheDocs) and the commentary within the scripts.

denise-cogi

Combined Elastic Waveform and Gravity Inversion

dsa

Import programs from https://zenodo.org/record/3924867, Yuan, J., Kao, H., & Yu, J. (2020), JGR ( https://doi.org/10.1029/2020JB019430 )

fd2d-adjoint

finite difference wave propagation in 2D for Matlab. Both SH and P-SV, with forward and adjoint calculations and the possibility to compute kernels

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geobo

Python package for Multi-Objective Bayesian Optimisation and Joint Inversion

georgiatech-isye6420-bayesianstatistics

Repository of my ISYE6420 Bayesian Statistics coursework at GeorgiaTech: https://www2.isye.gatech.edu/~brani/isye6420

gerjoii

Radar and DC resistivity 2.5D multi-physics inversion suite. Forward modeling, separate inversions, joint inversions.

grav-magne

grav3ch_inv

A GUI-based Matlab code for inverting gravity anomalies over sedimentary basins with vertical and horizontal density variation

groundmotion-processing

Parsing and processing ground motion data

kiwi

Kinematic Waveform Inversion Toolkit

lavavu

Lightweight, Automatable Visualisation & Analysis Viewing Utility

loopstructural

LoopStructural is an open-source 3D structural geological modelling library.

maswa

Accelerated algorithms for Multichannel Analysis of Surface Waves (MASW) using MPI and CUDA

mgplib

MGPlib which have been updating from gplib++ is a geophysical library for magnetotelluric, receiver function and surface wave dispersion data

mudpy

Kinematic and static rupture forward modeling and inversion code

nessi

Near Surface Seismic imaging using particle swarm optimization.

obsidian

Probabilistic multi-sensor geophysical inversions on clusters

pydmd

Python Dynamic Mode Decomposition

pygeo

Python tools for exploration seismology

pynoddy

pynoddy is a python package to write, change, and analyse kinematic geological modelling simulations performed with Noddy.

python-100-days

Python - 100天从新手到大师

seismic_cpml

SEISMIC_CPML is a set of eleven 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.

seismo-fortran

Utility modules for dealing with generally-anisotropic elastic constants and other geophysics problems