古地理学报 ›› 2008, Vol. 10 ›› Issue (5): 465-472. doi: 10.7605/gdlxb.2008.05.004

• 古地理学及矿产资源 • 上一篇    下一篇

东营凹陷沙河街组碎屑岩储层定量评价及油气意义?

张琴   朱筱敏    

  1. 1中国石油大学(北京)教育部油气成藏重点实验室,北京 102249
    2中国石油大学(北京)油气资源与探测技术国家重点实验室, 北京 102249
  • 出版日期:2008-10-01 发布日期:2008-10-01
  • 作者简介:张琴,女,1973年生,2003年博士毕业于石油大学(北京),现为中国石油大学(北京)资源与信息学院副教授,主要从事层序地层学和储层沉积学研究。通讯地址:北京市昌平区府学路18号,中国石油大学(北京)资源与信息学院;电话:010-89733322;E-mail:zqlw@sina.com

Quantitative assessment of clastic reservoir property of the Shahejie Formation in Dongying Sag and its hydrocarbon significance

Zhang Qin   Zhu Xiaomin    

  1. 1Key Laboratory of Ministry of Education, China University of Petroleum(Beijing), Beijing 102249
    2 State Key Laboratory of Petroleum Resources and Prospecting Technologies, China University of Petroleum(Beijing), Beijing 102249
  • Online:2008-10-01 Published:2008-10-01
  • About author:Zhang Qin, born in 1973, got her doctoral degree in 2003 from University of Petroleum(Beijing). Now she is an associate professor of University of Petroleum(Beijing), and is engaged in sequence stratigraphy and reservoir sedimentology. E-mail: zqlw@sina.com

摘要:

采用“主因素”定量评价方法对东营凹陷沙河街组碎屑岩储层质量进行了评价。首先选取储集性能参数(孔隙度、渗透率)、颗粒分选性、杂基含量、粒径、埋藏压实程度、溶蚀作用及胶结作用强度等参数作为储层质量评价参数,按灰色关联分析法计算其他子因素相对于孔隙度的权重系数。然后采用储层质量综合评价因子Q,划分储层评价标准。在缺乏孔、渗资料的情况下,利用其他参数的权重系数,求得储层质量综合评价因子Q1。根据Q和Q1进行储层分类评价的结果与利用石油天然气集团总公司碎屑岩储层分类标准进行评价的结果基本一致。用此方法对沙河街组碎屑岩储层进行分类评价,把评价结果与试油结果进行比较,发现其符合率较高。说明本定量评价方法用于储层综合评价具有可行性,根据Q或Q1的大小,可以快速直观地判定或预测某一地区某一层段的储层质量。

Abstract:

The primary factor quantitative reservoir assessment method was used in this paper to precisely evaluate the clastic reservoir property of the Shahejie Formation in Dongying Sag. The reservoir capacity parameters (porosity and permeability), grain sorting, matrix content, granularity, extent of being buried and pressed, solution and cementation degree were chosen as the reservoir quality assessment parameters. Weight coefficients of other factors related to porosity which is the primary factor are obtained by grey correlation analysis. Then, the reservoir assessment classification is determined by the comprehensive reservoir quality assessment gene “Q” . When there are short of porosity and permeability data, the relevant weight coefficients of other factors are obtained by their correlations with porosity as well, and the comprehensive reservoir quality assessment gene Q1 is obtained by the similar method as Q. The result of reservoir assessment of the samples given by  “Q” and Q1 is consistent with that by the clastic reservoir classification criterion which was offered by CNPC. The method was used to classify and evaluate the Shahejie Formation clastic reservoir and the result was compared with the oil testing result, the two results were highly consistent with each other. The analyses show that this method is practical in reservoir comprehensive assessment. According to the value of Q or Q1, the reservoir quality of some interval in some area can be quickly predicted.