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APPLIED GEOPHYSICS  2012, Vol. 9 Issue (1): 65-72    DOI: 10.1007/s11770-012-0315-7
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The algorithm of 3D multi-scale volumetric curvature and its application*
Chen Xue-Hua1, 2, Yang Wei3, He Zhen-Hua1, 2, Zhong Wen-Li4, and Wen Xiao-Tao2
1. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China.
2. College of Geophysics, Chengdu University of Technology, Chengdu 610059, China.
3. Research Institute of Exploration and Development, Northwest Oilfi eld Company, Sinopec, Urumqi, 830011, China.
4. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
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Abstract To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature (MSVC) methodology is presented in this paper. We also propose a fast algorithm for computing 3D volumetric curvature. In comparison to conventional volumetric curvature attributes, its main improvements and key algorithms introduce multi-frequency components expansion in time-frequency domain and the corresponding multi-scale adaptive differential operator in the wavenumber domain, into the volumetric curvature calculation. This methodology can simultaneously depict seismic multi-scale features in both time and space. Additionally, we use data fusion of volumetric curvatures at various scales to take full advantage of the geologic features and anomalies extracted by curvature measurements at different scales. The 3D MSVC can highlight geologic anomalies and reduce noise at the same time. Thus, it improves the interpretation efficiency of curvature attributes analysis. The 3D MSVC is applied to both land and marine 3D seismic data. The results demonstrate that it can indicate the spatial distribution of reservoirs, detect faults and fracture zones, and identify their multi-scale properties.
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CHEN Xue-Hua
YANG Wei
HE Zhen-Hua
ZHONG Wen-Li
WEN Xiao-Tao
Key words： 3D multi-scale volumetric curvature   adaptive differential operator in wavenumber domain   multi-frequency expansion in time-frequency domain   fault detection   fracture zone   data fusion     
Received: 2011-10-12;
Fund:

This work was supported by the National Natural Science Foundation of China (No. 41004054), the Research Fund for the Doctoral Program of Higher Education of China (No. 20105122120002), and Natural Science Key Project, Sichuan Provincial Department of Education (No. 092A011).
Cite this article:   
CHEN Xue-Hua,YANG Wei,HE Zhen-Hua et al. The algorithm of 3D multi-scale volumetric curvature and its application*[J]. APPLIED GEOPHYSICS, 2012, 9(1): 65-72.
　
[1] Al-Dossary, S., and Marfurt, K. J., 2006, 3D volumetric multispectral estimates of reflector curvature and
[2] rotation: Geophysics, 71(5), P41 - P51.
[3] Barnes, A. E., 1996, Theory of 2-D complex seismic trace analysis: Geophysics, 61(1), 264 - 272.
[4] Bergbauer, S., Mukerji, T., and Hennings, P., 2003, Improving curvature analyses of deformed horizons using
[5] scale-dependent filtering techniques: AAPG Bulletin, 87(8), 1255 - 1272.
[6] Blumentritt, C. H., Marfurt, K. J., and Sullivan, E. C., 2006, Volume-based curvature computations illuminate fracture
[7] orientations - Early to mid-Paleozoic, Central Basin Platform, west Texas: Geophysics, 71(5), P41 - P51.
[8] Buck, D. M., Alam, A., and Taylor, J. D., 2007, Fractured reservoir prediction from 3D seismic volumetric curvature
[9] and low frequency imaging: 77th Annual Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 422 -
[10] 426.
[11] Chopra, S., and Marfurt, K. J., 2007, Curvature attribute applications to 3D surface seismic data: The Leading
[12] Edge, 26(4), 404 - 414.
[13] Chopra, S., and Marfurt, K. J., 2007, Volumetric curvature attributes add value to 3D seismic data interpretation:
[14] The Leading Edge, 26(7), 856 - 867.
[15] Chopra, S., and Marfurt, K. J., 2007, Seismic attributes for prospect identification and reservoir characterization:
[16] Society of Exploration Geophysicists, Tulsa, USA.
[17] Chopra, S., and Marfurt, K. J., 2008, Emerging and future trends in seismic attributes: The Leading Edge, 27(3), 298 - 318.
[18] Claerbout, J. F., 1976, Fundamentals of Geophysical Data Processing: McGraw-Hill Book Company, New York,
[19] USA.
[20] Flierman, W., Weide, J. G., Wever, A., Brouwer, F., and Huck, A., 2008, Use of spatial, frequency and curvature
[21] attributes for reservoir, fl uid and contact predictions: 78th Annual Meeting, Society of Exploration Geophysicists,
[22] Expanded Abstracts, 1521 - 1525.
[23] Gersztenkorn, A., and Marfurt, K. J., 1999, Eigenstructurebased coherence computations as an aid to 3-D structural
[24] and stratigraphic mapping: Geophysics, 64(5), 1468 - 1479.
[25] Hart, B. S., 2002, Validating seismic attributes: Beyondstatistics: The Leading Edge, 21(10), 1016 - 1021.
[26] He, Z. H., Huang, H. D., Hu, G. M., Wang, C. X., and Huang, D. J., 1999, Lateral identification by seismic multi-scale
[27] edge detection: Computing Techniques for Geophysical and Geochemical Exploration, 21(4), 289 - 294.
[28] Klein, P., Richard, L., and James, H., 2008, 3D curvature attributes: a new approach for seismic interpretation:
[29] First Break, 26, 105 - 112.
[30] Lisle, R. J., 1994, Detection of zones of abnormal strains in structures using Gaussian curvature analysis: AAPG
[31] Bulletin, 78(12), 1811 - 1819.
[32] Luo, Y., Higgs, W. G., and Kowalik, W. S., 1996, Edge detection and stratigraphic analysis using 3D seismic
[33] data: 66th SEG Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 324 - 327.
[34] Mallat, S., 2002, A Wavelet tour of signal processing (Second Edition): China Machine Press, Beijing, China.
[35] Marfurt, K. J., 2006, Robust estimates of 3D refl ector dip and azimuth: Geophysics, 71(4), P29 - P40.
[36] Marfurt, K. J., Kirlin, R. L., and Farmer, S. L., 1998, 3-D seismic attributes using a semblance-based coherency
[37] algorithm: Geophysics, 63(4), 1150 - 1165.
[38] Marfurt, K. J., Sudhaker, V., Gersztenkorn, A., Crawford, K. D., and Nissen, S. E., 1999, Coherency calculations in the
[39] presence of structural dip: Geophysics, 64(1), 104 - 111.
[40] Roberts, A., 2001, Curvature attributes and their application to 3D interpreted horizons: First Break, 19(2), 85 - 100.
[41] Wang, X. W., Yang, K. Q., Zhou, L. H., Wang, J., Liu, H., and Li, Y. M., 2002, Methods of calculating coherence
[42] cube on the basis of wavelet transform: Chinese Journal of Geophysics, 45(6), 847 - 852.
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