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 GPU Computing with MATLAB 2:34 (Video)

Software Reference

• MATLAB Distributed Computing Server^™ (Product Details)
• Parallel Computing Toolbox^™ (Product Details)
• MATLAB GPU Computing^™ (Product Details)

See also: PID control, energy production, algorithm development, parallel computing, digital signal processing