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基于聚类分析方法的砾岩油藏储层类型划分
引用本文:谭锋奇,李洪奇,许长福,罗刚,刘彩凤.基于聚类分析方法的砾岩油藏储层类型划分[J].地球物理学进展,2012,27(1):246-254.
作者姓名:谭锋奇  李洪奇  许长福  罗刚  刘彩凤
作者单位:1. 中国石油大学(北京)地球物理与信息工程学院,北京102249;油气资源与探测国家重点实验室(中国石油大学(北京))北京102249
2. 新疆油田公司勘探开发研究院,克拉玛依,834000
3. 东方地球物理勘探有限责任公司研究院,涿州,072751
基金项目:国家“十五”重大科技攻关项目
摘    要:砾岩油藏由于近物源、多水系和快速多变的沉积环境导致储层岩性复杂多变以及非均质性严重等特点,储层类型的精细划分成为该类油藏二次调整开发的重点和难点.本文以克拉玛依油田六中区克下组砾岩油藏为研究对象,选取密闭取心井岩心分析的物性参数、压汞驱替参数以及微观孔隙结构参数共计12项作为砾岩油藏储层类型划分的参数组合,对比研究了基于划分、基于层次、基于模型和基于密度的4种聚类算法建立的储层划分标准,结果表明基于划分的k-means算法建立的聚类标准最符合实际油藏的地质特征和储层类型的划分精度,内部度量的紧凑性、有效性和分辨性都优于其他三种算法,并且分析了Ⅴ类储层与岩性的对应关系,发现砾岩油藏储层类型受岩性控制的机制非常复杂,岩性相同的储层类型可能呈现出不同的物性和渗流性,而岩性不同的储层类型又可能表现为相同的物性和渗流性,其根本原因是储层非均质性造成的.储层类型与砾岩岩性的有效结合为该区精细开发方案的设计和水淹层的定量评价提供了技术支持.

关 键 词:储层类型  聚类分析  对比研究  克拉玛依油田  砾岩油藏

Reservoir classification of conglomerate reservoir base on clustering analysis method
TAN Feng-qi , LI Hong-qi , XU Chang-fu , LUO Gang , LIU Cai-feng.Reservoir classification of conglomerate reservoir base on clustering analysis method[J].Progress in Geophysics,2012,27(1):246-254.
Authors:TAN Feng-qi  LI Hong-qi  XU Chang-fu  LUO Gang  LIU Cai-feng
Institution:1.College of Geophysics and Information Engineering,China University of Petroleum,Beijing 102249,China; 2.State Key Laboratory of Petroleum Resource and Prospecting(China University of Petroleum,Beijing),Beijing 102249,China; 3.Research Institute of Petroleum Exploration and Development,Xinjiang Oilfield Company,PetroChina,Karamay 834000,China; 4.BGP Geological Research Center,Zhuozhou 072751,China)
Abstract:The conglomerate reservoir depositional environment of near source,multi-streams and rapidly changing lead to reservoir characteristics of complex and changeable lithology and serious heterogeneity et al,the fine reservoir classification has became the focus and difficult of the secondary adjustment development for this type reservoir.In this paper,the Kexia Group conglomerate reservoir of the Sixth District in Karamay Oilfield was studied and the total 12 parameters of the physical parameters,pressure mercury displacement parameters and micro-pore structure parameters of sealing core data were selected to parameter standard for reservoir classification of conglomerate reservoir,the comparative study of reservoir classification standards of 4 kinds of clustering algorithm such as Base on the Division,Base on the Level,Base on the Model and Base on the Density.The results clearly indicate that establishment clustering standards of k-means algorithm of Base on the Division the most accord with the geological characteristics of actual reservoir and classification accuracy of the reservoir,the compactness,efficiency and resolution of internal measure are all better than the other three algorithms.And through the analysis of counterpart relationships between Ⅴ kinds of reservoir and lithology found that the mechanism of conglomerate reservoir types by lithology control were very complex,the reservoir type of the same lithology may show different physical properties and filtration and the reservoir type of the different lithology may show the same physical properties and filtration,the fundamental reason above question is serious reservoir heterogeneity.Effective integration of reservoir type and Conglomerate lithology provide technical support for the design of fine development program and the quantitative evaluation of water flood layers.
Keywords:reservoir classification  clustering analysis  comparative study  Karamay oilfield  conglomerate reservoir
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