MATLAB Seismic Processing Toolkit Developed by CREWES Research Group at University of Calgary

The CREWES (Consortium for Research in Elastic Wave Exploration Seismology) research group at the University of Calgary holds significant influence in geophysics, particularly in numerical methods research and software development for exploration seismology. They have developed a comprehensive MATLAB-based seismic data processing toolkit designed to provide efficient computational methods for both academic research and industrial applications.

The software package includes practical seismic data processing code modules accompanied by the research group's classic textbook "Numerical Methods of Exploration Seismology." This book systematically introduces numerical simulation, inversion, and imaging techniques in exploration seismology, serving as an essential reference in seismic signal processing and subsurface structure modeling. The code implementation demonstrates key algorithms including wave propagation simulation, seismic migration techniques, and velocity model building through MATLAB scripts and functions.

CREWES' MATLAB toolkit covers multiple seismic data processing stages including acquisition, processing, imaging, and interpretation. Its main advantages lie in open-source accessibility and extensibility, allowing researchers and engineers to modify and optimize the code according to specific requirements. The package includes core functions for seismic data filtering, Fourier transforms, deconvolution algorithms, and reverse-time migration implementations. Additionally, the accompanying datasets facilitate learning and testing, enabling users to run examples directly and understand the practical application effects of various algorithms through executable MATLAB code.

For researchers in geophysics, petroleum exploration, or related fields, CREWES' resources represent valuable materials combining theory and practice. The toolkit is suitable for both educational demonstrations and supporting complex computational requirements in research projects, featuring well-documented code with examples of finite-difference modeling, ray tracing implementations, and full waveform inversion techniques.