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大庆油田杏1-3区三次加密试验区剩余油分布研究
引用本文:杜庆龙,陆蔚刚,付昌琼,于洪.大庆油田杏1-3区三次加密试验区剩余油分布研究[J].新疆石油地质,2002,23(6):524-527.
作者姓名:杜庆龙  陆蔚刚  付昌琼  于洪
作者单位:1. 中国科学院,地质与地球物理研究所,北京,100029;大庆油田公司,勘探开发研究院,黑龙江,大庆,163712
2. 大庆油田公司,勘探开发研究院,黑龙江,大庆,163712
摘    要:通过对试验区近年完钻的检查井各单砂层水淹状况及其影响因素的分析。利用神经网络模式识别方法建立起单层剩余油识别模型,在此基础上对三次加密试验区各小层剩余油分布进行研究,总结出各类油层剩余油分布特征及成因类型,并分析了试验区剩余油潜力分布,从而为三次加密布井及射孔方案编制提供了可靠的依据。

关 键 词:大庆油田  剩余油  识别  分布  布井
文章编号:1001-3873(2002)06-0524-04
修稿时间:2001年12月18

Study of Remained Oil Distribution in Tertiary Infill Test Area in District Xing 1-3, Daqing Oilfield
DU Qing-long,LU Wei-gang,FU Chang-qiong,YU Hong.Senior Engineer,Doctor Candidate,Oil-Gas Field Development,Research Institute of Geology and Geophysics CAS,Beijing,China.Study of Remained Oil Distribution in Tertiary Infill Test Area in District Xing 1-3, Daqing Oilfield[J].Xinjiang Petroleum Geology,2002,23(6):524-527.
Authors:DU Qing-long  LU Wei-gang  FU Chang-qiong  YU HongSenior Engineer  Doctor Candidate  Oil-Gas Field Development  Research Institute of Geology and Geophysics CAS  Beijing  China
Affiliation:DU Qing-long,LU Wei-gang,FU Chang-qiong,YU Hong.Senior Engineer,Doctor Candidate,Oil-Gas Field Development,Research Institute of Geology and Geophysics CAS,Beijing100029,China
Abstract:This paper analyzed water-flooded situation of each single sand layer and its affecting factors in inspec-tion wells drilled in resent years for the infill test area,and developed remained oil recognition model for individual lay-er by using neural network mode recognition method.Based on this model,the remained oil distribution of each layer in tertiary infill test area was studied,outlining the distribution characteristics and origin types of various types of reser-voirs,analyzing potential distribution of remained oil in the area.Hence,this paper provided reliable basis for location of tertiary infill well and workout of its perforating project.
Keywords:remained oil  recognition  distribution  location of well
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