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Prediction of the Leikoupo Karst Reservoir in Xiao-Xin-He Area in Western Sichuan Basin Based on Analytical Hierarchy Process

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According to the features of the Leikoupo karst reservoir, such as deeply buried, thin, and strongly late diagnostic, a new route of reservoir prediction based on thin layers, fractures, and corrosion was developed in this work. Because the reliability of well extrapolation is not as good as that of earthquake by the conventional route of inversion, the new route will combine earthquake with well seism at both longitudinal and horizontal directions to make reservoir prediction. It was found that the lithology was unitary in the work area and the impedance variation was primarily caused by pores. Therefore, impedance inversion was used to accurately identify the reservoir at the longitudinal direction. Different from the domination frequency of seismic data, the reservoir is classified in thin layer category. The horizontal identification of the thin layers was done by using techniques of spectrum imaging and instantaneous frequency. The fracture system, which was formed in the late tectonic movement and featured with zonal and patchy distribution, was detected by coherence data. Based on the work, a hierarchical relationship among controlling elements of the reservoir was established and a judgment matrix was constructed. The weight for all hierarchies was calculated and the corresponding ordinal consistency was confirmed. The distribution probability of reservoir thickness was finally obtained by data fusion of the weights of the essential elements, in well agreement with the results of drilling.
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Keywords: AHP; Fusion; Karst Reservoir; Weight

Document Type: Research Article

Affiliations: 1: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, 610054, P. R. China 2: Su Lige Gasfield Development Branch Company of Changqing Oilfield, Xi’an, 71000, P. R. China

Publication date: 01 May 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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