Deep Learning for Seismic Imaging and Interpretation
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Updated
Sep 18, 2020 - Python
Deep Learning for Seismic Imaging and Interpretation
Matlab research tools to read, write and process seismic data
🔭 Read, parse seismic data from AnyShake Explorer, stream or archive to database
🌏 Read voltage counts from three geophones, pack & send data to AnyShake Observer
Seismic inversion
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Fast estimation of CRS parameters using structure tensors
python tools for seismic ground-roll (surface wave) simulation
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
For Southeast Tibet
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
Slope estimation and interpolation of multi-channel seismic data
Dockerfiles to automatically create Docker images on Docherhub for Seismic Processing suites
Desenvolvimento de um pacote de processamento sísmico para o Seismic Unix (SU) com fluxo de processamento em shell script
Collection of parallel codes for (RTM) seismic processing, techniques. The codes utilize various libraries to facilitate experimentation and comparison of different techniques.
A collection of seismic data processing tools - mostly a learn by doing project
A Docker tool for learning, testing, running and developing Earthworm within enclosed environments.
Passive-source Seismic-processing with a GUI (Graphical User Interface)
The Personal website of Jack (Xun) Li
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