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《应用地球物理(英文版)》 2012-01
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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-Tao21. 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.  
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.
【Fund】: supported by the National Natural Science Foundation of China (No. 41004054);; Research Fund for the Doctoral Program of Higher Education of China (No. 20105122120002);; Natural Science Key Project Sichuan Provincial Department of Education (No. 092A011)
【CateGory Index】: P618.13
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