Seismic Waveform Inversion Toolbox
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Updated
Jan 18, 2024 - Jupyter Notebook
Seismic Waveform Inversion Toolbox
Extreme-scale Discontinuous Galerkin Environment (EDGE)
Matlab research tools to read, write and process seismic data
A Julia Toolbox for Geophysical Modeling and Inverse Problems
Anisotropic seismic modeling in time domain.
Simulates the propagation of the acoustic wave using the finite difference method in 2D and 3D domains.
Fast Marching (FM) method implementation in Matlab and C++
A Python project to download, process and visualize medium-to-massive amount of seismic waveforms and metadata
Fast conversion tools from seismic velocity to density and temperature in the upper mantle
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
🔭 Read, parse seismic data from AnyShake Explorer, stream or archive to database
Python package for computation of synthetic waveforms using the Direct Solution Method (DSM)
Analysis and Visualization toolkit for plaNetary Inferences
🌏 Read voltage counts from three geophones, pack & send data to AnyShake Observer
Theoretical spectral response of a water well to harmonic strains
Build an algorithm that automatically and accurately identifies if have petroleum or not. Can help people save cost exploring for hydrocarbon
Modeling, inversion and migration focusing on seismic first arrivals
Forward 2D elastic wave equation modelling using either OpenMP or OpenACC. Compiles with PGI compiler.
Simple machine learning tool in Python (>=3.7) computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors
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