What Is Seismic Data Processing?
Seismic data processing to interpret subsurface features is both computationally and data intensive.
Common procedures to streamline seismic data processing include:
- Working with data files, such as SEGY, that are too large to fit in system memory
- Automating the processing of shot record and travel-time field files
- Developing algorithms to reconstruct the subsurface
- Interpreting subsurface features using visualization and animation
- Using multicore processors, GPUs, and clusters in parallel for faster processing of seismic data
Examples and How To
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Large Data in MATLAB: A Seismic Data Processing Case Study - MATLAB Central Files
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GPU Computing in MATLAB (3:56) - Video
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Conduct geospatial and seismic analysis - MathWorks Consulting
Software Reference
- MATLAB Parallel Server™ - Product
- Parallel Computing Toolbox™ - Product
- MATLAB GPU Computing™ - Documentation
See also: PID control, energy production, algorithm development, parallel computing, Signal Processing, Smart Emergency Response System, seismology research with MATLAB