Author/Authors :
Shakiba، Sima نويسنده Simulation and Processing Lab. School of Mining Engineering, University of Tehran, Iran , , Keshavarz Farajkhah، Nasser نويسنده Geophysics Research Group, Geoscience Division, Research Institute of Petroleum Industry (RIPI), Iran ,
Abstract :
In this paper an application of Gustafson-Kessel clustering algorithm is presented to create a fault detection map (FDM). Five post-stack seismic attributes are extracted from a desired seismic time slice related to 3D seismic data of a gas field located in southwest of Iran. To find the optimal cluster numbers, two frequently usedclustering validity measures, i.e. SC and XB, are used and then the studied area were divided into regions which have high possibility for exploring faults.The proposed method helpsexpert geologists to enhancetheir interpretations in identifying subtle faults and provides an effective FDM generating approach.
