PranjalGhildiyal/Fault-Segmentation-on-Seismic-Data-Using-CNNs
Mapping fault planes using seismic images is a crucial and time-consuming step in hydrocarbon prospecting. Conventionally, this requires significant manual efforts that normally go through several iterations to optimize how the different fault planes connect with each other. Many techniques have been developed to automate this process, such as seismic coherence estimation, edge detection, and ant-tracking, to name a few. However, these techniques do not take advantage of the valuable experience accumulated by the interpreters. Using CNNs, however, is a technique to automatically detect and map fault zones using 3D seismic images in a similar fashion to the way done by interpreters.