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

For details on a platform for performing these tasks, see MATLAB^® and Simulink^®.