Seismic Data Processing
Streamline seismic data processing using high performance computing
Seismic data processing to interpret subsurface features is both computationally and data intensive. MATLAB® streamlines seismic data processing, enabling you to:
- Work with data files, such as SEGY, that are too large to fit in system memory
- Automate the processing of shot record and travel-time field files
- Develop algorithms to reconstruct the subsurface
- Interpret subsurface features using visualization and animation
- Use multicore processors, GPUs, and clusters in parallel for faster processing of seismic data
Examples and How To
- Large Data in MATLAB: A Seismic Data Processing Case Study (Webinar)
- Large Data in MATLAB: A Seismic Data Processing Case Study (MATLAB Central Files)
- Speeding Up MATLAB Applications (Webinar)
- Introduction to MATLAB GPU Computing (Video)
Software Reference:
- MATLAB Distributed Computing Server™ (Product Details)
- Parallel Computing Toolbox™ (Product Details)
- MATLAB GPU Computing™ (Product Details)
See also: energy production, algorithm development, parallel computing, digital signal processing
