地球物理学进展 ›› 2012, Vol. ›› Issue (4): 1581-1587.doi: 10.6038/j.issn.1004-2903.2012.04.035

• 应用地球物理 • 上一篇    下一篇

相带控制下协克里金方法孔隙度预测

于正军1,2,3, 董冬冬1, 宋维琪4, 高艳珂4, 吴时国1   

  1. 1. 中国科学院海洋研究所, 中国科学院海洋地质与环境重点实验室, 青岛 266071;
    2. 中国石化股份胜利油田分公司物探研究院, 东营 257022;
    3. 中国科学院研究生院, 北京 100083;
    4. 中国石油大学(华东)地球资源与信息学院, 东营 257061
  • 收稿日期:2011-10-30 修回日期:2012-01-18 出版日期:2012-08-20 发布日期:2012-08-20
  • 通讯作者: 董冬冬,男,博士,副研究员,主要从事海洋地质研究.(E-mail: dongdongdong@qdio.ac.cn) E-mail:dongdongdong@qdio.ac.cn
  • 作者简介:于正军,男,1968年生,胜利油田物探研究院高级工程师,2004年毕业于成都理工大学石油与天然气工程专业,获工程硕士学位;现为中国科学院海洋研究所在读博士,主要从事地震资料解释及综合研究工作.(E-mail: 13305466812@163.com)
  • 基金资助:

    国家高技术研究发展计划973(2009AA093401)资助.

Porosity prediction with co-Kriging method controlled by sedimentary facies

YU Zheng-jun1,2,3, DONG Dong-dong1, SONG Wei-qi4, GAO Yan-ke4, WU Shi-guo1   

  1. 1. Key Laboratory of Marine Geology & Environment, Institute of Oenology, Chinese Academy of Sciences, Qingdao 266071, China;
    2. Geophysical Research Institute, Shengli Oilfield, SINOPEC, Dongying 257022, China;
    3. Graduate University of Chinese Academy of Sciences, Beijing 100083, China;
    4. The Earth Resources and Information Institute, University of Petroleum(East), Dongying 257061, China
  • Received:2011-10-30 Revised:2012-01-18 Online:2012-08-20 Published:2012-08-20

摘要: 针对东营凹陷南坡沙四段浊积岩砂岩储层纵横向物性变化剧烈的特点,在协克里金方法空间估计理论方法基础上,提出相带控制下协克里金孔隙度预测方法.从定量角度对沉积相加以刻画,在三维空间协同克里金估值计算时,使用相控因子对估值进行约束,使得结果能够更好地反映储层物性如孔隙度的空间展布特征.加入相带控制处理后,使变异函数较早达到基台值,减小理论模型拟合误差.利用该技术方法估算了沙四段第1小段的孔隙度,利用抽稀井进行对比分析,估算结果误差较小,预测值接近真实值,证实了该方法的有效性.

Abstract: The physical characteristics of turbidite sandstone reservoir on the southern slope of Dongying sag change dramatically in the vertical and lateral direction. Porosity prediction with co-Krigine method controlled by sedimentary facies is proposed to predict the porosity in this complicated area, based on the theory of space estimation with Kriging method. First, the sedimentary facies are delineated quantitatively and then the value estimation is carried out with co-Kriging method in 3D space constrained by the facies-controlled factors, which makes the results reflect the spatial distribution of porosity better. The facies-controlled process get the variation function reach base stations value earlier and reduce fitting error of theoretical model. The porosity of the first section of ES4 member is estimated by this technique. The estimation error is proved to be small by comparison with the measured data in the selected wells, which reflects the validity of this technique.

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