Fault detection in seismic datasets using hough transform
In this paper, we present a semi-automatic algorithm to detect faults in seismic datasets using Hough transform. As a multistage approach, our method first highlights the likely fault points from the discontinuity map of one seismic section. Hough transform is then applied to detect faults features. Considering geological constraints of faults, false features are removed using a double-threshold method. Then, we get an initial fault line by connecting the remaining faults features. In the last stage, by incorporating the discontinuity information from step one, we tweak the initial fault line to obtain more accurate and reliable results. Our experimental results show that our method can delineate the fault lines in seismic sections more accurately than a state-of-the-art method.