Teaching material for ErSE 210 Seismology course to be held at KAUST during the Fall semester.
The repository is organized as follows:
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Slides: deck of slides summarizing the key concept introduced in each class. Some of the figures in these slides are taken from the reference textbook (Shearer, P., Introduction to Seismology).
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Data: input data used in the practical sessions:
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All of the other folders in this repository contains Python codes and Jupyter Notebooks used in the practical sessions:
- PlaneWave: create and display plane waves in time-space and wavenumber domain.
- GassmannFluidSub: implement basic rock physics equations and Gassmann substitution and apply it to the Smehaia well log.
- SeismicModelling: perform convolutional and AVO modelling, and apply pre-stack inversion.
- RayTrace: implement 2D raytracing by solving the associated ODE.
- SeismicTomography: create the 2D tomographic matrix and solve the associated inverse problem.
- ReflectionSeismic: implement basic NMO processing and learn how to work with SEGY files using segyio and the Volve dataset.
- TimeMigration: implement basic time-domain post-stack Kirchhoff demigration-migration on simple synthetic dataset.
- Dispersion: create a surface-wave only seismic dataset, compute dispersion panel and perform surface wave dispersion curve inversion.
- Obspy: a short introduction to Obspy and its usage for epicenter localization of earthquakes
To ensure reproducibility of the results, we have provided an environment.yml file. Ensure to have installed Anaconda or Miniconda on your computer. If you are not familiar with it, we suggest using the
KAUST Miniconda Install recipe. This has been tested both on macOS and Unix operative systems.
After that simply run:
./install_env.sh
It will take some time, if at the end you see the work Done! on your terminal you are ready to go!
Alternatively, you can work directly on Binder. Simply click this button and access the material from your web browser without the need for any local installation
