模糊逻辑在碳酸盐岩储层质量评价中的应用——以塔里木盆地为例

Weifu Liu
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引用次数: 0

摘要

摘要:前言:针对高度复杂非均质碳酸盐岩储层的储层质量评价问题,提出了一种基于模糊逻辑的储层质量评价方法。根据碳酸盐岩储层特征,选取反映储层丰度、渗透率、孔喉半径中值等宏观和微观特征的3个参数,建立因子集和评价标准。通过对岩心和测试数据的分析,采用半滴梯形法构造隶属函数,并采用储层因子子指标确定权重公式。应用该方法对塔里木盆地某碳酸盐岩储层进行了评价。根据单井评价结果,构建了碳酸盐岩储层质量平面分类图。K32井储层质量评价结果表明,1级、2级和3级储层质量分别占储层质量的58%、37%和5%。结果与实际生产数据一致,证明了该方法在复杂非均质碳酸盐岩储层储层质量评价实践中的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Logic in Carbonate Reservoir Quality Assessment: A Case Study from Tarim Basin, China
Received: January 14, 2017 Revised: April 13, 2017 Accepted: May 15, 2017 Abstract: Introduction: To address reservoir quality assessment in highly complex and heterogeneous carbonate reservoirs, a methodology utilizing fuzzy logic is developed and presented in this paper. Based on carbonate reservoir characteristics, three parameters reflecting the macroscopic and microscopic of storage abundance, permeability, and median of pore throat radius were selected to establish the factor set and the evaluation criteria. After analysis of core and test data, a membership function is constructed by semi-drop trapezoid method and the weight formula is also determined by reservoir factor sub-index. The developed method then is used to evaluate a carbonate reservoir in the Tarim Basin in China. Based on the result of single well evaluation, the plane classification map of the carbonate reservoir quality is constructed. Results obtained from reservoir quality assessment in the K32 well show that Ilevel, II-level, and III-level reservoir qualities account for 58%, 37%, 5% of the reservoir, respectively. The results are consistent with the actual production data demonstrating reliability of the proposed method for reservoir quality assessment practices in usually very complex and heterogeneous carbonate reservoirs.
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