Seismic Waveform Inversion Toolbox
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Updated
Jan 18, 2024 - Jupyter Notebook
Seismic Waveform Inversion Toolbox
Matlab research tools to read, write and process seismic data
Simulates the propagation of the acoustic wave using the finite difference method in 2D and 3D domains.
๐ญ Read, parse seismic data from AnyShake Explorer, stream via SeedLink, WebSocket, Telnet or archive to database, MiniSEED.
Extreme-scale Discontinuous Galerkin Environment (EDGE)
Fast Marching (FM) method implementation in Matlab and C++
A Julia Toolbox for Geophysical Modeling and Inverse Problems
Anisotropic seismic modeling in time domain.
A Python project to download, process and visualize medium-to-massive amount of seismic waveforms and metadata
๐ Detecting seismic wave using 3 geophones or accelerometer, pack & send data to AnyShake Observer by RS232 / RS485 serial.
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Python package for computation of synthetic waveforms using the Direct Solution Method (DSM)
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
Analysis and Visualization toolkit for plaNetary Inferences
Theoretical spectral response of a water well to harmonic strains
Fast conversion tools from seismic velocity to density and temperature in the upper mantle
๐ Get real-time seismic waveform and spectrogram on desktop from AnyShake Observer APIs, based on Obspy and Matplotlib.
Forward 2D elastic wave equation modelling using either OpenMP or OpenACC. Compiles with PGI compiler.
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Build an algorithm that automatically and accurately identifies if have petroleum or not. Can help people save cost exploring for hydrocarbon
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