Seismic multi-attribute analysis for fault and fracture modeling of an oil field in the South of Iran
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.
- Ba, J.. Ma, R.P., Carcione, J.M. and Picotti, S., 2019. Ultrasonic wave attenuation
- dependence on saturation in tight oil siltstones. Journal of Petroleum Science and
- Engineering, 179:1114-1122.
- Ba, J.. Xu. W.H., Fu, L.Y., Carcione, J.M. and Zhang, L., 2017. Rock anelasticity due to
- patchy-saturation and fabric heterogeneity: A double double-porosity model of wave
- propagation. J. Geophys. Res. - Solid Earth, 122: 1949-1976.
- Bagheri, M.. Riahi, M.A. and Hashemi. H., 2013. Reservoir lithofacies analysis using 3D
- seismic data in dissimilarity space. J. Geophys. Engineer., 10: 035006.
- Bagheri, M. and Riahi, M.A., 2014. Seismic facies analysis from well logs based on
- supervised classification scheme with different machine learning techniques. Arab J.
- Geosci. DOI; 10.1007/s12517-014-1691.
- Bagheri, M. and Riahi. M.A.. 2017. Modeling the facies of reservoir using seismic data
- with missing attributes by dissimilarity based classification. J. Earth Sci., 28: 703-708.
- Boro, H., Rosero, E. and Bertotti, G, 2014. Fracture-network analysis of the Latemar
- Platform (northern Italy): Integrating outcrop studies to constrain the hydraulic
- properties of fractures in reservoir models. Petrol. Geosci., 20: 79-92.
- Chen. E. and Liu. X.. 2011. Multi-colony ant algorithm. In ant colony optimization-
- methods and applications. Intech, Croatia:3-12.
- Chen. O. and Sidney. S.. 1997. Seismic attribute technology for reservoir forecasting and
- monitoring. The Leading Edge, 16: 445-448.
- Chopra. S. and Marfurt. K.J.. 2005. Seismic attribute: A historical perspective.
- Geophysics, 70(5): SO3-SO28.
- Chopra. S. and Marfurt. K.J.. 2007. Seismic Attributes for Prospect Identification and
- Reservoir Characterization. SEG, Tulsa, OK.
- Chopra. S. Marfurt. K.J.. 2007. Volumetric curvature attributes for fault/fracture
- characterization. First Break, 25: 35-46.
- Fang, J.. Zhou. F. and Tang. Z.. 2017. Discrete fracture network modelling in a naturally
- fractured carbonate reservoir in the Jingbei oil field China. Energies, 10: 183.
- Hanif. S.. Tariq. A.. Ahmed. A.I. and Hanif. A. 2014. Ant tracking algorithm for surface
- discontinuitv extraction-faults detection. Robotics and Emerging Allied Technologies
- in Engineering (CREATE), IEEE: 235-238.
- Ji, J. Liu, Z.. Zhang, A.. Yang, C. and Liu, C., 2013. HAM-FMD: mining functional
- modules in protein—protein interaction networks using ant colony optimization and
- multi-agent evolution. Neurocomputing, 121: 453-469.
- Kativar. S.. Ibraheem. N. and Ansari. A.O.. 2015. Ant colony optimization: a tutorial
- review. MR Internat. J. Engineer. Technol., 7(2): 35-41.
- Nelson. R.A.. 2001. Geologic Analvsis of Naturally Fractured Reservoirs, 2nd Ed. Gulf
- Professional Publishing, Houston.
- Ngeri, A.P.. Tamunobereton-ari, I. and Amakiri, A.R.C., 2015. Ant-tracker attributes: an
- effective approach to enhancing fault identification and interpretation. J. VLSI Sign.
- Process., 5: 67-73.
- Ohmi, K., Sapkota, A. and Panday, S.P.. 2008. Applicability of ant colony optimization
- in particle tracking velocimetry. Proc. 14th Internat. Symp. Applicat. Laser Techn.
- Fluid Mechan., Lisbon.
- Pang. M.O.. Ba. J.. Carcione. J.M.. Picotti. S.. Zhou. J. and Jiang. R.. 2019. Estimation of
- porosity and fluid saturation in carbonates from rock-physics templates based on
- seismic Q. Geophysics, 84(6): 1-51.
- Pedersen, S.I.. Randen. T.. Sonneland. L. and Steen. 9.. 2002. Automatic fault extraction
- using artificial ants. Expanded Abstr., 72nd Ann. Internat. SEG Mtg., Salt Lake City:
- 512-515.
- Randen, T.. Pedersen, S.I. and Sonneland. L.. 2001. Automatic extraction of fault
- surfaces from three-dimensional seismic data. Expanded Abstr., 71st Ann. Internat.
- SEG Mtg., San Antonio: 551-554.
- Russell, B.H. 2004. The application of multivariate statistics and neural networks to the
- prediction of reservoir parameters using seismic attributes. PH.D. thesis, University of
- Calgary, Alberta.
- Stocklin, J., 1968, Salt deposits of the Middle East. GSA - Special paper, 88: 157-181.
- Stécklin. J.. 1968, Structural history and tectonics of Iran: a review. AAPG Bull., 52:
- 1229-1258.
- Taner, M.T., 2001. Seismic attributes. CSEG Recorder, 26(7): 48-56.
