Signal Processing for Geophysical Applications

Program Introduction

This program provides a comprehensive introduction to signal processing techniques used in geophysical data analysis, with particular emphasis on seismic and distributed acoustic sensing (DAS) applications. The course bridges theoretical foundations and practical implementation.

Program Scope

The training covers classical and modern signal processing methods for analyzing, filtering, and enhancing geophysical signals while preserving physically meaningful information. Participants are exposed to both single-channel and multichannel workflows commonly used in research and industry.

Program Topics

• •Time-frequency analysis
• •Filtering and noise attenuation
• •Multichannel signal processing
• •Transform-based methods
• •Applications to seismic and DAS data

Courses / Teaching Materials

Teaching materials for this program are organized according to the main signal processing themes and are designed to support progressive learning from theoretical concepts to applied geophysical case studies. Emphasis is placed on reproducible workflows and real data examples.

Course resources include lecture notes, presentation slides, and hands-on numerical exercises. Materials are suitable for classroom teaching as well as independent study by researchers and professionals.

Target Audience

This program is designed for graduate students, geophysicists, researchers, and industry professionals seeking to master advanced signal processing and spectral analysis methodologies applied to seismic exploration and Distributed Acoustic Sensing (DAS).