Interactive Fault Extraction in 33-D D Seismic Data Using the Hough Transform and Tracking Vectors
Abstract: The exploration of reservoir regions has a close relationship with the localization of faults. Although faults can be labeled in seismic volumes by experienced interpreters, such manual interpretation is inefficient when dealing with a dramatically growing amount of collected seismic data. To speed up the interpretation efficiency of faults, in this paper, we propose a method that semiautomatically detects fault surfaces by using the Hough transform as well as tracking vectors. In the proposed method, we cl classify assify seismic sections into reference and predicted ones by borrowing the concept of II- and B-frames B in video-coding coding techniques. For these two types of seismic sections, we introduce different strategies to delineate faults. In reference sections, we first firs highlight likely fault regions from corresponding coherence maps and apply the Hough transform to extract the features of faults. After removing false features, we optimally connect remaining features under the constraints of coherence maps. Since the accuracy curacy of fault detection in reference sections depends highly on several parameters, to avoid replicating the tweaking of parameters in all seismic sections, we propose tracking detected faults in reference sections through remaining predicted sections, iin n which faults are labeled based on estimated tracking vectors and geological constraints. To evaluate the performance of the proposed method, we introduce a fault similarity (FauSIM) index that describes