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 via SeedLink, WebSocket, TCP and archive to database, miniSEED.
🌏 Detecting seismic wave using 3 geophones or accelerometer, pack & send data to AnyShake Observer by RS232 / RS485 serial.
Seismic inversion
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
python tools for seismic ground-roll (surface wave) simulation
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
Fast estimation of CRS parameters using structure tensors
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
For Southeast Tibet
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
A simple Golang module that deals with miniSEED files.
Slope estimation and interpolation of multi-channel seismic data
Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
Dockerfiles to automatically create Docker images on Docherhub for Seismic Processing suites
SeedLink protocol basic implementation in pure Go.
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.
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