geophysical-inversions

An official read-only mirror of https://git.pyrocko.org/pyrocko/pyrocko. A seismology toolkit for Python.

notebooks and tutorials on computation in geophysics

notebooks for the Transform 2020 tutorial on Simulations and inversions with SimPEG

🌏 The purpose of this repo is to reconstruct paper about machine learning and inversion. Tech stack: Jupyter Notebook, Google Colab, Python & TeX.

FEMTIC is a 3-D magnetotelluric inversion code. FEMTIC is made by object-oriented programming with C++. FEMTIC is applicable to land magnetotelluric survey data as well as ocean bottom magnetotelluric survey data.

Course Exercise: 1D magnetotelluric (MT) Neural Network inversion

By this tool, you can make surface mesh (input data of TetGen) for creating tetrahedral mesh.

Diffraction simulator programs developed to the Madagascar seismic processing package

A global mantle conductivity model derived from over 8 years of Swarm satellite magnetic data

[MATLAB inside] Comparative research well log prediction: Genetic algorithm vs Neural Network

SPECFEM3D_GLOBE simulates global and regional (continental-scale) seismic wave propagation. http://danielpeter.github.io/specfem3d_globe/

Tool for making hexxhahedral mesh for FEMTIC

Simple two-dimensional geophysical inversion for permafrost and ground ice detection using electromagnetic methods.

A performance-effective program for gravity field calculation for layered ellipsoidal density model.

This program converts output files of TetGen to FEMTIC.

This tool outpot mtr file of TetGen by reading node and ele files of TetGen

By using this tool, you can make a non-conforming deformed hexahedral mesh for 3-D MT inversion code FEMTIC

By this program, you can change resistivity values of a specified area for sensitivity tests of femtic inversion results

A collection of seismic data processing tools - mostly a learn by doing project

A tiny SVGD package for Bayesian inversion in geophysics.

Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning

Parser for the Aarhus Workbench XYZ format

By using this program, from the result file of FEMTIC, you can make a file needed to draw a cross-section of a resistivity structure by GMT.

By this program, you can merge result files (.csv) of FEMTIC.

An Example of 1D inversion magnetotelluric data using Artificial Neural Networks