MATLAB-Based Seismic Processing Software

The GeoPhysics Department at the University of Alberta offers a comprehensive MATLAB-based seismic processing software featuring modular code architecture for flexible data handling. The software implements advanced signal processing algorithms through MATLAB’s built-in functions (e.g., wavelet denoising via `wdenoise`, velocity analysis using cross-correlation routines) and custom-developed scripts for specialized tasks. Key functionalities include data I/O operations supporting SEG-Y format via `segyread`/`segywrite`, frequency-domain filtering using FFT-based methods, and reverse-time migration (RTM) algorithms coded with finite-difference solvers. The object-oriented design allows users to customize processing workflows by modifying class-based modules for noise reduction, velocity modeling, and seismic imaging. Compatible with both land and marine datasets, the toolkit integrates parallel computing (via `parfor`) for large-data processing and includes visualization tools leveraging MATLAB’s graphics API for interactive section displays. Regular updates incorporate machine learning enhancements (e.g., CNN-based fault detection) and optimization techniques, ensuring cutting-edge performance for oil/gas exploration, earthquake studies, and geological research. The software’s scriptable interface enables batch processing and automation, making it a versatile solution for efficient seismic data analysis.