seismic data processing -凯发k8网页登录

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^®.