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
Fast estimation of CRS parameters using structure tensors
Seismic inversion
🔭 Read, parse seismic data from AnyShake Explorer, stream or archive to database
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Slope estimation and interpolation of multi-channel seismic data
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
🌏 Read voltage counts from three geophones, pack & send data to AnyShake Observer
A collection of seismic data processing tools - mostly a learn by doing project
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
For Southeast Tibet
Toolbox for processing data from SmartSolo geophones and proceed H/V interpolation.
Dockerfiles to automatically create Docker images on Docherhub for Seismic Processing suites
Javascript reader of SEG 2 data
Desenvolvimento de um pacote de processamento sísmico para o Seismic Unix (SU) com fluxo de processamento em shell script
A Docker tool for learning, testing, running and developing Earthworm within enclosed environments.
The Personal website of Jack (Xun) Li
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
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