摘要
为了实现低渗-致密砂岩储层有效分类并明确分类界限,有效指导油藏开发对策选择,本文采用灰色关联、多元分析、信息叠加及聚类分析等方法开展储层综合分类,并确定分类界限。首先在灰色关联的基础上,选取储层品质因子(I_(RQ))、主流喉道半径、可动流体饱和度、分选系数和排驱压力作为储层评价的主控因素;然后将多元分析与灰色评价结果进行信息叠加,完成储层综合定量评价;最后提出了结合概率分布函数的聚类分析方法,明确了各因素的分类界限,并利用测井和实验数据建立转换模型。结果表明:通过渤海湾盆地冀东油田南堡凹陷测井和实验数据获取的I_(RQ)转换模型计算值与岩心实测值的平均误差为8.60%,证实了该模型的可靠性;优化后聚类分析方法和单因素累积概率曲线法平均误差分别为13.57%、19.63%,前者更准确;不同类型井的产量中,Ⅰ类储层物性较好,单井稳产期日产油量最高,达7.48 t/d以上,Ⅱ类储层单井稳产期日产油量为4.37~7.48 t/d,Ⅲ类储层单井日产油量小于4.37 t/d。
In order to realize effective classification of low-permeability and tight sandstone reservoirs and clarify the classification boundary,and effectively guide the selection of reservoir development countermeasures,this paper used the methods of grey correlation,multivariate analysis,information superposition and cluster analysis to carry out comprehensive reservoir classification and determine the classification boundary.In this paper,firstly,based on grey correlation,the reservoir quality factor I_(RQ),main throat radius,movable fluid saturation,sorting coefficient and displacement pressure are selected as the main controlling factors for reservoir evaluation.Secondly,the comprehensive quantitative evaluation of the reservoir is completed by the information superposition of the multivariate analysis and the grey evaluation results,and K-means clustering method combined with probability distribution function is proposed and the boundary of each factor is clarified.Finally,a clustering method combined with probability distribution function is proposed.The results show that the average error between the calculated value of I_(RQ)conversion model obtained from logging and experimental data and the measured value of core is 8.60%,which confirms the reliability of the model.The average errors of the optimized clustering algorithm and the single factor classification method are 13.57%and 19.63%respectively,and the former is more accurate.The rationality of the method is verified by the single well productivity:The daily oil production in stable production period of typeⅠwell is above 7.48 t/d,that of typeⅡwell is 4.37-7.48 t/d,and that of typeⅢwell is less than 4.37 t/d.
作者
李彦泽
商琳
王群会
孙彦春
邢建鹏
蒋东梁
陈浩
Li Yanze;Shang Lin;Wang Qunhui;Sun Yanchun;Xing Jianpeng;Jiang Dongliang;Chen Hao(PetroChina Jidong Oilfield Company,Tangshan 063000,Hebei,China;Postdoctoral Station of PetroChina Jidong Oilfield Company,Tangshan 063000,Hebei,China;Postdoctoral Station of Petro China Research Institute of Petroleum Exploration and Development,Beijing100083,China;School of Safety and Marine Engineering,China University of Petroleum,Beijing102200,China)
出处
《吉林大学学报（地球科学版）》
CAS
CSCD
北大核心
2022年第6期1830-1843,共14页
Journal of Jilin University：Earth Science Edition
基金
国家自然科学基金项目(51704303)
北京自然科学基金项目(3173044)
关键词
致密砂岩
储层分类界限
灰色关联
多元分析
信息叠加
聚类分析
南堡凹陷
断陷盆地
tight sandstone
reservoir classification
grey correlation
multivariate analysis
information superposition
cluster analysis
Nanpu sag
faulted basin
作者简介
李彦泽(1987—),男,工程师,主要从事油气田开发地质、储层评价方面的研究,E-mail:liyanze777@126.com;通信作者:商琳(1987—),男,高级工程师,博士,主要从事储气库地质评价、油藏描述及低渗、致密油藏方面的研究,Email:shanglinsonny@163.com
