MATLAB-Based Seismic Data Processing Software

The GeoPhysics department at the University of Alberta has developed a comprehensive seismic processing software built on MATLAB's computational framework. This software features modular architecture with specialized toolboxes for various seismic processing tasks, including data preprocessing algorithms, frequency-domain filtering routines, and advanced migration techniques. The implementation utilizes MATLAB's signal processing capabilities for efficient noise reduction through wavelet transforms and adaptive filtering methods. Key computational modules include velocity analysis algorithms that employ semblance calculations and iterative optimization techniques for accurate subsurface characterization. The software incorporates seismic imaging functionality using Kirchhoff migration and reverse-time migration algorithms, leveraging MATLAB's parallel computing capabilities for handling large datasets. Data processing workflows are customizable through scriptable interfaces, allowing researchers to modify parameters and implement custom processing sequences using MATLAB's programming environment. The software supports both land and marine seismic data formats, with specialized modules for different acquisition geometries. It includes automated quality control functions that generate diagnostic plots and statistical analyses using MATLAB's visualization tools. Regular updates integrate latest computational methods such as full-waveform inversion and machine learning approaches for enhanced interpretation accuracy. This MATLAB-based solution provides researchers with a flexible platform for implementing custom seismic processing algorithms while maintaining computational efficiency through optimized matrix operations and memory management features inherent to the MATLAB environment.