缝洞型碳酸盐岩油藏衰竭开采特征综合聚类评价  

Comprehensive Clustering Evaluation of Fractured-Vuggy Carbonate Reservoirs by Depletion Drive Process

作　　者：王代刚[1,2] 李勇[1] 胡永乐[1] 李保柱[1] 张丽娟 陈方方 

机构地区：[1]中国石油勘探开发研究院,北京100083 [2]北京大学地球与空间科学学院,北京100871 [3]中国石油塔里木油田分公司勘探开发研究院碳酸盐岩研究中心,新疆库尔勒841000

出　　处：《新疆石油地质》2016年第2期192-198,共7页Xinjiang Petroleum Geology

基　　金：中国石油科技重大专项(2011E-2501)

摘　　要：缝洞型碳酸盐岩油藏的储集体发育模式多样,储集空间复杂,非均质性强,开发难度大。为综合分类评价其衰竭式开采特征,运用改进模糊C均值聚类分析,建立了一种缝洞型碳酸盐岩油藏衰竭开采特征综合评价方法。利用单井衰竭生产动态数据,通过引入离散粒子群优化算法自适应求解初始聚类中心和最佳分组数,克服了传统模糊C均值聚类分析需要依赖人为设定分组数和初始聚类中心、容易陷入局部最优解等内在缺点。采用该方法对M缝洞型碳酸盐岩油藏62口关键井进行综合聚类评价,将所有油井按动态响应特征划分为4大类和8亚类,确定了各类油井的动态属性划分标准。此方法得到实际生产资料验证,为不同类型油井的差异化综合治理以及提高采收率对策的制定提供了依据。Fractured-vuggy carbonate reservoir is characterized by varied models of reservoir development, complex storage spaces, seriousheterogeneity, and great development difficulties. This paper presents comprehensive clustering evalation of its depletion drive characteris-tics, through modified fuzzy C-means（FCM） analysis, develops a new approach for comprehensive evaluation of such a reservoir by deple-tion drive process. Based on the well production performance data, it introduces the discrete particle swarm optimization algorithm to over-come the inherent limitations of conventional FCM clustering analysis that depends on the arbitrary setting the number of clusters and theinitial clustering center, and easily getting stuck in local optimal solution. Using this approach, a total of 62 key oil wells in M fractured-vuggy carbonate reservoir are classified and evaluated comprehensively into four categories and eight subclasses, providing the classifica-tion standard of dynamic attributes of all kinds of oil wells. The case study indicates the reliability of this approach for differentiation com-prehensive treatment and preparation of EOR countermeasures.

关 键 词：碳酸盐岩 缝洞型油藏 衰竭开采 聚类评价 油井类型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]