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

Xiong Ding, X. Tan, Ling-na Li, Zhou Yan, Zhao Zihao, Qingsong Tang
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引用次数: 1

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.
基于多级模糊理论的碳酸盐岩储层定量评价模型
碳酸盐岩储层的定量评价是油气开发的关键问题之一。但由于碳酸盐岩储层物性分布多样、孔喉结构复杂、非均质性强等特点,对其进行定量评价相对困难。以四川盆地磨溪气田中三叠统雷口坡组雷一段碳酸盐岩储层为例。对孔隙度、渗透率、含水饱和度、驱替压力、平均孔喉半径、有效储层厚度、渗透率变异系数、渗透率涌动系数、渗透率范围等9个直接影响储层质量的参数进行优先排序,采用改进的层次分析法。建立多层次层次结构模型,定量确定各参数对储层质量的相对重要性定量指标。采用模糊综合评价法建立了碳酸盐岩储层定量评价模型。评价结果与实际含气量吻合较好,表明该数学模型可用于碳酸盐岩储层定量评价,具有较好的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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