油气勘探

细粒沉积岩性识别新方法与储集层甜点分析——以渤海湾盆地沧东凹陷孔店组二段为例

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  • 1. 中国石油大港油田公司,天津 300280;
    2. 中国石油大学(华东),山东青岛 266580
赵贤正(1962-),男,浙江义乌人,博士,中国石油大港油田公司教授级高级工程师,现主要从事石油勘探综合研究与管理工作。地址:天津市滨海新区幸福路1278号,中国石油大港油田公司机关,邮政编码:300280。E-mail: xzzhao@petrochina.com.cn

修回日期: 2016-03-28

  网络出版日期: 2017-07-27

A new method for lithology identification of fine grained deposits and reservoir sweet spot analysis: A case study of Kong 2 Member in Cangdong sag, Bohai Bay Basin, China

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  • 1. PetroChina Dagang Oilfield Company, Tianjin 300280, China;
    2. China University of Petroleum (East China), Qingdao 266580, China

Revised date: 2016-03-28

  Online published: 2017-07-27

Supported by

中国石油科技重大专项“大港油区大油气田勘探开发关键技术研究”(2014E-06)

摘要

在渤海湾盆地沧东凹陷古近系孔店组二段500 m系统取心、上千块次薄片鉴定、X射线衍射分析基础上,提出了用声波时差、密度等常规测井资料定量计算细粒沉积矿物含量的简易方法,建立岩性快速识别“绿模式”。通过测井曲线标准化并与X射线衍射分析实测矿物含量定量关系拟合,计算无取心段/井矿物含量,从而进行岩性识别。应用该方法在沧东凹陷孔二段细粒沉积区识别出多个白云岩甜点段和1个砂岩甜点段,实钻均获较高产油流,研究表明,白云岩平面上局部富集、呈带状展布。该方法适用于前三角洲—湖盆中心细粒沉积岩发育区,尤其适用于半深湖—深湖相砂质含量少、以泥-灰云质为主的细粒沉积岩的岩性识别。图10表2参25

本文引用格式

赵贤正, 蒲秀刚, 韩文中, 周立宏, 时战楠, 陈世悦, 肖敦清 . 细粒沉积岩性识别新方法与储集层甜点分析——以渤海湾盆地沧东凹陷孔店组二段为例[J]. 石油勘探与开发, 2017 , 44(4) : 492 -502 . DOI: 10.11698/PED.2017.04.02

Abstract

Based on systematic coring of 500 m of Kong 2 Member of the Paleogene Kongdian Formation in Cangdong sag of Bohai Bay Basin, identification and XRD (X-Ray Diffraction) analysis of over 1000 thin sections, a simplified method to quantitatively calculate contents of fine grained minerals with conventional logging data such as acoustic travel time (AC) and density log (DEN) has been proposed, and a quick lithologic identification "green mode" has been worked out in this study. By fitting the relationship between normalization of logging curves and mineral content measured by XRD, the mineral contents of sections or wells not cored can be calculated to identify lithology. With this method, several dolomite sweet spot intervals and one sandstone sweet spot interval have been found in the Kong 2 Member of Cangdong sag, where high production oil and gas flows have been tapped from drilled wells. The study shows that the dolomite is in band distribution and enriched in local parts of the study area. This method is applicable to lithologic identification of fine grained deposits in front delta-lake basin center, especially lithologic identification of mud and dolomite dominated fine grained deposits with low sand content of semi-deep, deep lake facies.

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