Bagheri, M., Asadi, S. and Talkhablou, M., 2020. Seismic multi-attribute analysis for fault and fracture modeling of an oil field in the South of Iran. Journal of Seismic Exploration, 29: 343-362. Extracting geological features such as faults, and fractures using seismic data could be used to find a potential hydrocarbon reservoir and reduce the risk of production well drilling. The location and orientation of the faults are very central in investigating the efficiency of a reservoir. Also, identification of crushed zones and gas chimneys is necessary for reservoir modeling given the abundant fractures. Use of seismic attributes is significantly helpful to exploit faults and fractures from seismic data. In this study, the ant tracking method is employed for multi-attribute analysis to model fault and fractures from seismic data. The method is applied on an oil field in the South of Iran to find the medium-scale and large-to-small-scale fractures. The results obtained from the multi-attribute analysis for fracture extraction are then compared with the obtained results from FMI images, whereby a great coincidence is observed. It should be mentioned that the ability of extracted seismic attributes depends on what phenomenon is considered to detect and the quality of the original data. Totally, it could be concluded from the results that multi-attribute analysis via ant tracking is a powerful method for fault and fracture modeling.