Seismic Data Processing with Geomage and Python

This course Seismic Data Processing Course using Python and GeoMage offers a comprehensive introduction to modern techniques in seismic reflection analysis. Designed for geoscientists, students, and engineers, the course bridges geophysical theory with hands-on programming experience. Participants learn to process raw seismic traces through essential steps such as deconvolution, filtering, Normal Moveout (NMO) correction, stacking, and migration.

Using Python, students build modular workflows with open-source libraries and develop custom scripts to visualize wiggle plots, seismic sections, and attribute maps. A key highlight of the course is the use of GeoMage, a Python-based geophysical platform for seismic data processing and imaging. Through GeoMage, participants explore real seismic datasets, experiment with velocity models, perform CMP sorting, and apply advanced imaging algorithms such as Kirchhoff and reverse-time migration.

Emphasis is placed on understanding how seismic signals interact with subsurface structures and how processing choices affect final image quality. The course also covers time-to-depth conversion, attribute analysis, and quality control techniques, preparing users for real-world interpretation challenges. By the end, students gain practical skills in building end-to-end processing flows and interpreting results with confidence, making it ideal for those entering oil & gas, geothermal exploration, or academic research.

Thanks for all attende and all partipant.