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一种基于模糊聚类的毛管压力曲线分类方法

发表时间:2019-10-31  浏览量:166  下载量:15
全部作者: 林旺,范洪富,陈福利,王少军,闫林
作者单位: 中国地质大学(北京)能源学院;中国石油勘探开发研究院
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
Title: A capillary pressure curve classification method based on fuzzy clustering
Author: LIN Wang, FAN Hongfu, CHEN Fuli, WANG Shaojun, YAN Lin
Organization: School of Energy Resources, China University of Geosciences (Beijing); Research Institute of Petroleum Exploration & Development
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
发表期数: 2019年10月第5期
引用格式: 林旺,范洪富,陈福利,等. 一种基于模糊聚类的毛管压力曲线分类方法[J]. 中国科技论文在线精品论文,2019,12(5):832-836.
 
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