石油学报 ›› 2007, Vol. 28 ›› Issue (1): 61-66.DOI: 10.7623/syxb200701012

• 地质勘探 • 上一篇    下一篇

东营凹陷现河油田河道型储层研究方法

旷红伟1,2, 高振中2, 邢凤存2, 王昌勇3, 桂志先1,2   

  1. 1. 长江大学油气资源与勘探技术教育部重点实验室 湖北荆州 434023;
    2. 长江大学 湖北荆州 434023;
    3. 成都理工大学 四川成都 610059
  • 收稿日期:2006-01-03 修回日期:2006-04-12 出版日期:2007-01-25 发布日期:2010-05-21
  • 作者简介:旷红伟,女,1969年8月生,2003年获中国地质大学(北京)博士学位,现为长江大学副教授,主要从事储层沉积学和测井地质学的教学和研究工作.E-mail:kuanghw@126.com

Description method for characteristics of stream channel reservoir in Xianhe Oilfield of Dongying Depression

Kuang Hongwei1,2, Gao Zhenzhong2, Xing Fengcun2, Wang Changyong3, Gui Zhixian1,2   

  1. 1. Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry of Education, Yangtze University, Jingzhou 434023, China;
    2. Yangtze University, Jingzhou 434023, China;
    3. Chengdu University of Technology, Chengdu 610059, China
  • Received:2006-01-03 Revised:2006-04-12 Online:2007-01-25 Published:2010-05-21

摘要: 根据岩心、录井和测井资料,对东营凹陷现河油田王家岗地区沙二段上部河道砂体沉积相类型及其特征进行了研究。结合沉积的古地理格局和物源方向的继承性,运用趋势面分析和泥岩颜色分区法,对物源方向进行的综合分析表明,王3区块沙二段第1~第4砂组的物源主要来自南方。在储层研究方面,利用砂体钻遇率及砂体平均厚度变化曲线分析方法,从另一个角度阐明了储层的发育特征;同时,应用储层随机建模、神经网络预测法和地震相干分析法,对王3区块沙二段第1~第4砂组的储层厚度、孔隙度、各层段砂体的分布特征和典型单砂体进行了预测,为油气滚动勘探开发部署提供了依据。

关键词: 东营凹陷, 沙河街组, 古近系, 现河油田, 河道型储层, 描述方法

Abstract: On the basis of core observation and logging data, the sedimentary facies and their characteristics of stream channel reservoir in the second member of Shahejie Formation in Xianhe Oilfield of Dongying Depression were studied. The trend surface analysis and shale color district figure combining with sedimentary palaeogeographic pattern and inherit of provenance direction were applied to analyze provenance direction. The analysis result showed that the provenance from first to fourth group in the second member of Shahejie Formation in the third area of Wangjiagang Oilfield was mainly derived from the south part of the study area. The drilling ratio analysis method and the average thickness curves of sand body can illustrate the features of reservoir. The suitable drilling profile was applied to stochastically modeling of reservoir, and the artificial neural network method was used to predict reservoir thickness and porosity from the first to fourth group in the second member of Shahejie Formation. The result is in good agreement with those known well data. The seismic coherence cube technology was used to remove noise and interpret seismic data for finding out types, features and geologic attributes of correlation abnormal volume, researching on the time-space appearances and distribution of every sand layer and predicting the typical single sand-body. The results provided evidence for petroleum exploration and development.

Key words: Dongying Depression, Shahejie Formation, Paleogene, Xianhe Oilfield, stream channel reservoir, description method

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