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作 者:付雨萱 谭成仟 侯斌[2] 郑晓梅 杨雨希 潘景宇 FU Yuxuan;TAN Chengqian;HOU Bin;ZHENG Xiaomei;YANG Yuxi;PAN Jingyu(School of Earth Science and Engineering,Xi′an Shiyou University,Xi′an 710065,China;No.8 Oil Production Plant of PetroChina,Changqing Oilfield Company,Xi′an 710021,China)
机构地区:[1]西安石油大学地球科学与工程学院,西安710065 [2]中国石油长庆油田分公司第八采油厂,西安710021
出 处:《重庆科技学院学报(自然科学版)》2023年第3期23-28,51,共7页Journal of Chongqing University of Science and Technology:Natural Sciences Edition
基 金:陕西省教育厅专项科研计划项目“裂缝性碳酸盐岩气藏‘准工程’尺度两相流动过程与机制研究”(20JK0848)。
摘 要:根据动静态数据分析资料将研究区低产低效井分为4类,即投产初期即高含水型、含水快速上升型、投产即低产液型和液量持续下降型,并对其主控因素进行评价分析。首先,应用SPSS软件进行主成分分析,剖析16项动静态参数的相关性,对形成低产低效井的主控因素进行排序,并将其中相关系数大于0.70的参数定义为主控因素;然后,筛选出部分主控因素用于主成分分析,进而运用灰色关联法进一步判别其中引起低产低效的主控因素。通过分析,确认这4类低产低效井的主控因素分别为渗透率非均质性、动态裂缝条数、改造参数大小、压力保持水平。Based on dynamic and static data,the low production and low efficiency wells in the study area are divided into four categories:high water content type in the early stage of production,rapid increase in water content type,low liquid production type in the early stage of production,and continuous decrease in liquid volume type.The main control factors are evaluated and analyzed.Firstly,SPSS software is used for principal component analysis to analyze the correlation of 16 static and dynamic parameters,and the main control factors that form low production and low efficiency wells are ranked.The factors with correlation coefficient greater than 0.70 are defined as main controlling factors.Then,some main control factors are selected for principal component analysis,and the grey correlation method is used to identify the main control factors that caused low production and low efficiency.Analysis shows that the main control factors for these four types of low production and low efficiency wells are permeability heterogeneity,dynamic fracture type,modification parameter size,and pressure maintenance level.
分 类 号:TE328[石油与天然气工程—油气田开发工程]
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