In: Fault Detection ISBN: 978-1-53610-345-8 Editor: Daniel Martin © 2017 Nova Science Publishers, Inc. Chapter 3 SEISMIC A TTRIBUTE-AIDED F AULT DETECTION IN PETROLEUM INDUSTRY : A REVIEW Haibin Di * and Dengliang Gao † 1 Formerly Department of Geology and Geography, West Virginia University, Morgantown, West Virginia, US presently Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, Georgia, US Abstract In petroleum exploration and production, faults are of importance by controlling pathways of hydrocarbon migration and accumulation in the subsurface, and robust fault detection is one of the major tasks of geologic and geophysical interpretation from three-dimensional (3D) seismic data. Traditionally, faults are interpreted by manually picking on vertical/horizontal seismic sections with geologic consistence; however, such manual tool is time consuming and sensitive to the visibility and interpreters’ bias, especially for a large dataset with structural complexities. With the development of new signal processing and data visualization technologies, computer-aided semi- automatic/automatic fault extraction has been the focus of recent geophysical research on seismic fault detection with superiorities in both computational efficiency and result accuracy. Various methods have been developed and * E-mail address: haibin.di@ece.gatech.edu. † E-mail address: dengliang.gao@mail.wvu.edu. Complimentary Contributor Copy