The University of Birmingham
Automatic Fault Detection for Seismic Data
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Project Aim

To develop software to automatically detect geological faulting in seismic data sets.

Background

Three-dimensional seismic data sets provide a vital contribution to geological understanding. One key geological aspect that can be gleaned from such 3D seismic data sets, is the pattern of geological faulting. A typical fault can be seen in the figure on the right (2D slice).
Traditionally such faults have been identified manually. This can be extremely time consuming. This 3 year project aims to use image processing techniques to automatically detect fault surfaces, without any human input.
A summary of the work done to date can be found here.