Curriculum tracks
Specialized training modules
Computational Geophysics
Focus: Numerical modeling, inversion theory, and high-performance computing.
Audience: Graduate students / researchers
Signal Processing for Geophysical Applications
Focus: Seismic and DAS signal enhancement, filtering, and time-frequency methods.
Audience: Graduate students / researchers / industry professionals
Machine Learning in Seismic Processing
Focus: Data-driven denoising, deep learning architectures, and physics-informed models.
Audience: Graduate students / researchers / industry professionals
DAS Data Analysis & Interpretation
Focus: Distributed acoustic sensing physics, noise sources, and microseismic applications.
Audience: Researchers / engineers / field practitioners
Applied GeoAI for Subsurface Imaging
Focus: AI-driven structural interpretation, fault tracking, and uncertainty quantification.
Audience: Graduate students / researchers / geophysics professionals
Learning formats
Structured to fit academic schedules and corporate timelines.
Intensive 3-to-5 day technical sessions focused on direct problem solving and hands-on coding.
Flexible multi-week modules built around specific software frameworks and open-source packages.
Evaluation and credentials meant to support careers in energy, civil engineering, and environmental sectors.
Ready to build these skills?
Contact our academic team to discuss custom training sessions or registration.
Contact the training coordinator