第12 卷 第5 期 Vol.12 No.5 2019 年 10 月 October 2019 一种基于模糊聚类的毛管压力曲线分类方法 林 旺 1,2 ,范洪富 1 ,陈福利 2 ,王少军 2 ,闫 林 2* (1. 中国地质大学(北京)能源学院,北京 100083; 2. 中国石油勘探开发研究院,北京 100083) 摘要: 毛管压力曲线形态是岩心孔隙结构的反映,对毛管压力曲线进行分类是储层分类评价的基础。本文直接 以毛管压力曲线形态作为分类依据,结合模糊聚类计算方法,提出一种毛管压力曲线的分类方法,克服了以 岩心孔隙度、渗透率等参数作为分类依据不能直接反映岩心孔隙结构的不足,使毛管压力曲线分类更直观、 更合理。应用提出的方法对大庆某油藏实例数据进行分析发现,I 类储层孔喉大,分选较好;II 类储层孔喉较 大,分选最好;III 类储层孔喉较细,分选较差;IV 类储层孔喉最小,分选最差。本方法的计算结果可以用于 对各类储层的孔隙结果进行描述。 关键词:一次能源;油层物理;毛管压力曲线分类;模糊聚类;曲线形态 中图分类号:TE311 文献标识码:A 文章编号:1674-2850(2019)05-0832-05 A capillary pressure curve classification method based on fuzzy clustering LIN Wang 1, 2 , FAN Hongfu 1 , CHEN Fuli 2 , WANG Shaojun 2 , YAN Lin 2 (1. School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China; 2. Research Institute of Petroleum Exploration & Development, Beijing 100083, China) Abstract: The shape of the capillary pressure curve is a reflection of the pore structure of the core. The classification of the capillary pressure curve is the basis for the classification and evaluation of the reservoir. The shape of the capillary pressure curve is taken as the basis of classification, combined with the fuzzy clustering calculation method, and a classification method of the capillary pressure curve is put forward in this paper. This method can overcome the deficiency that the parameters such as core porosity and permeability as the classification basis cannot directly reflect the pore structure of the core. It is more intuitive and reasonable to use the capillary pressure curve to classify. The method proposed in this paper is used to analyze the case data of a reservoir in Daqing. The analysis results show that type I reservoirs have large pore throat and good sorting, type II reservoirs have larger pore throat and best sorting, type III reservoirs have smaller pore throat and poor sorting, type IV reservoirs have the smallest pore throat and the worst sorting. The results of this method can be used to describe the pore results of various reservoirs. Key words: primary energy; reservoir physics; capillary pressure curve classification; fuzzy clustering; curve shape 0 引言 毛管压力曲线的形态能反映岩心的孔隙结构 [1~4] 。由于储层的非均质性,不同岩心测试方法得到的毛 管压力曲线存在一定的差异,为更准确地描述储层的孔隙结构,需要对储层进行分类描述,而对毛管压 力曲线进行分类分析,成为了储层分类描述必不可少的内容。一般的做法是对毛管压力曲线对应的岩心 基金项目:国家科技重大专项(2016ZX05046-003) 作者简介:林旺(1982—),男,工程师,主要研究方向:油气田开发. E-mail: [email protected]
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A capillary pressure curve classification method based on fuzzy clustering
LIN Wang1, 2, FAN Hongfu1, CHEN Fuli2, WANG Shaojun2, YAN Lin2
(1. School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China; 2. Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
Abstract: The shape of the capillary pressure curve is a reflection of the pore structure of the core. The classification of the capillary pressure curve is the basis for the classification and evaluation of the reservoir. The shape of the capillary pressure curve is taken as the basis of classification, combined with the fuzzy clustering calculation method, and a classification method of the capillary pressure curve is put forward in this paper. This method can overcome the deficiency that the parameters such as core porosity and permeability as the classification basis cannot directly reflect the pore structure of the core. It is more intuitive and reasonable to use the capillary pressure curve to classify. The method proposed in this paper is used to analyze the case data of a reservoir in Daqing. The analysis results show that type I reservoirs have large pore throat and good sorting, type II reservoirs have larger pore throat and best sorting, type III reservoirs have smaller pore throat and poor sorting, type IV reservoirs have the smallest pore throat and the worst sorting. The results of this method can be used to describe the pore results of various reservoirs. Key words: primary energy; reservoir physics; capillary pressure curve classification; fuzzy clustering; curve shape