Abstract
Fault detection is a very challenging problem on seismic interpretation. In fact, the process of fault detection contains seismic attribute extraction, seismic attribute enhancement and fault line detection. It is clear that the extracted seismic attributes are key to the fault detection process. Traditionally, as an important seismic attribute, the seismic coherence is generally employed in the fault detection process, but the size of the analysis window often effects the value of the seismic coherence, and there is a trade-off between the vertical resolution and the lateral resolution. In order to overcome this problem, we propose a new kind of seismic coherence with a mutative scale analysis window, and utilize it to locate the fault lines. It is demonstrated by the experimental results that our proposed seismic coherence is more suitable for the fault line detection in comparison with the traditional seismic coherence.
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References
Bahorich, M., Farmer, S.: 3-D seismic discontinuity for faults and stratigraphic features: the coherence cube Seg Technical Program Expanded, pp. 93–96 (1995)
Marfurt, K.J., Farmer, S.L., Bahorich, M.S.: 3-D seismic attributes using a semblance-based coherency algorithm. Geophysics 63(4), 1150 (1998)
Gersztenkorn, A., Marfurt, K.J.: Eigen structure-based coherence computations as an aid to 3-D structural and stratigraphic mapping. Geophysics 64(5), 1468 (1999)
Cohen, I., Coifman, R.R.: Local discontinuity measures for 3-D seismic data. Geophysics 67(6), 1933–1945 (2002)
Cohen, I., Coult, N., Vassiliou, A.A.: Detection and extraction of fault surfaces in 3D seismic data. Geophysics 71(4), P21–P27 (2006)
Field, D.J.: Relations between the statistics of natural images and the response properties of cortical cells. J. Optical Soc. America A-optics Image Sci. Vis. 4(12), 2379–2394 (1987)
Yu, Y.: Fault enhancement and visualization with 3D log-Gabor filter array. In: Seg Technical Program Expanded, pp. 1960–1965 (2016)
Wang, W., Li, J., Huang, F.: Design and implementation of Log-Gabor filter in fingerprint image enhancement. Pattern Recogn. Lett. 29(3), 301–308 (2008)
Steger, C.: An Unbiased Detector of Curvilinear Structures. IEEE Computer Society (1998)
Acknowledgment
This work was supported by the BGP Inc., China National Petroleum Corporation.
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Zheng, W., Ma, J. (2018). Automatic Fault Detection for 2D Seismic Data Based on the Seismic Coherence of Mutative Scale Analysis Window. In: Shi, Z., Pennartz, C., Huang, T. (eds) Intelligence Science II. ICIS 2018. IFIP Advances in Information and Communication Technology, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-030-01313-4_42
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DOI: https://doi.org/10.1007/978-3-030-01313-4_42
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