alexa Quantitative Evaluation Model of Carbonate Reservoirs Based on Multi-Level Fuzzy Theory
ISSN: 2381-8719

Journal of Geology & Geophysics
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Research Article

Quantitative Evaluation Model of Carbonate Reservoirs Based on Multi-Level Fuzzy Theory

Xiong Ding1,2,3*, Xiucheng Tan1,2, Ling Li1, Zhou Yan1, Zihao Zhao1 and Qingsong Tang4
1Institute of Geosciences and Technology, Southwest Petroleum University, Chengdu 610500, Sichuan, China
2State key laboratory of oil and gas reservoir geology and exploitation, Chengdu 610500, Sichuan, China
3Post-Doctor Station, Chengdu University of Technology, Chengdu 610059, Sichuan, China
4Chuanzhong Oil and Gas Field of Petro China Southwest Petroleum Company, Suining 629001, Sichuan, China
*Corresponding Author : Xiong Ding
Institute of Geosciences and Technology
Southwest Petroleum University
Chengdu 610500, Sichuan, China
Tel: +86-134-38189028
E-mail: [email protected]
Received January 22, 2014; Accepted February 18, 2014; Published February 28, 2014
Citation: Ding X, Tan X, Li L, Yan Z, Zhao Z, et al. (2014) Quantitative Evaluation Model of Carbonate Reservoirs Based on Multi-Level Fuzzy Theory. J Geol Geosci 3:149. doi:10.4172/2329-6755.1000149
Copyright: © 2014 Ding X, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The quantitative evaluation of carbonate reservoir is one of the key issues of oil and gas exploitation. However, due to the characteristics of carbonate reservoir, such as diverse physical distribution, complex pore-throat structure and strong heterogeneity, its quantitative evaluation is relatively difficult. Take the Lei 1 Member carbonate reservoir of Middle Triassic Leikoupo Formation in the Moxi gas field of Sichuan Basin as the example. The improved analytic hierarchy process is adopted based on 9 prioritized parameters which have direct influence on the quality of carbonate reservoir, namely porosity, permeability, water saturation, displacement pressure, average pore-throat radius, effective reservoir thickness, permeability variation coefficient, permeability rush coefficient and permeability range, to build a multi-level hierarchical structure model and quantitatively determine the relative importance quantitative indicators of all the parameters for reservoir quality. And fuzzy comprehensive evaluation method is used to build a quantitative evaluation model of carbonate reservoir. The evaluation results are well consistent with the actual gas capacity, which indicates that the mathematical model is available for quantitatively evaluating the carbonate reservoir and has relatively good feasibility.

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