新疆石油地质 ›› 2002, Vol. 23 ›› Issue (6): 524-527.

• 油藏工程 • 上一篇    下一篇

大庆油田杏1-3区三次加密试验区剩余油分布研究

杜庆龙1,2, 陆蔚刚2, 付昌琼2, 于洪2   

  1. 1.中国科学院 地质与地球物理研究所,北京 100029;
    2.大庆油田公司 勘探开发研究院,黑龙江 大庆 163712
  • 收稿日期:2001-12-18 出版日期:2002-12-01 发布日期:2020-08-12
  • 作者简介:杜庆龙(1964-),男,浙江东阳人,高级工程师,在读博士,研究方向油气田开发。联系电话:0459-5508261

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   

  • Received:2001-12-18 Online:2002-12-01 Published:2020-08-12
  • About author:DU Qing-long (1964-), Male, Senior Engineer, Doctor Candidate, Oil-Gas Field Development, Research Institute of Geology and Geophysics CAS, Beijing 100029, China

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: 剩余油, 识别, 分布, 布井

Abstract: This paper analyzed water-flooded situation of each single sand layer and its affecting factors in inspection wells drilled in resent years for the infill test area, and developed remained oil recognition model for individual layer 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 reservoirs, 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.

Key words: remained oil, recognition, distribution, location of well

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