吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (5): 1321-1331.doi: 10.13278/j.cnki.jjuese.201605105

• 地质与资源 • 上一篇    下一篇

临南洼陷沙三段孔隙度控制因素分析与定量模型

邱隆伟1, 师政1,2, 付大巍3, 潘泽浩4, 杨生超1, 曲长胜1   

  1. 1. 中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580;
    2. 中国石化无锡石油地质研究所, 江苏 无锡 214126;
    3. 中海石油(中国)有限公司湛江分公司, 广东 湛江 524057;
    4. 中国石化胜利油田分公司地质科学研究院, 山东 东营 257015
  • 收稿日期:2015-10-18 出版日期:2016-09-26 发布日期:2016-09-26
  • 通讯作者: 师政(1986-),男,博士研究生,主要从事沉积学及储层地质学研究,E-mail:shizheng1986@126.com E-mail:shizheng1986@126.com
  • 作者简介:邱隆伟(1967-),男,教授,博士,主要从事沉积学及储层地质学的教学和科研工作,E-mail:qiulwsd@163.com
  • 基金资助:

    国家油气重大专项（2011ZX05009-002）；中央高校基本科研业务费专项资金项目（14CX06068A）

Controlling Factors Analysis and Quantitative Model of Shahejie 3rd Sandstone Porosity in Linnan Sag

Qiu Longwei1, Shi Zheng1,2, Fu Dawei3, Pan Zehao4, Yang Shengchao1, Qu Changsheng1   

  1. 1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;
    2. Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi 214126, Jiangsu, China;
    3. Zhanjiang Branch of China National Offshore Oil Limited Corporation, Zhanjiang 524057, Guangdong, China;
    4. Geological Scientific Research Institute of Sinopec Shengli Oilfield Company, Dongying 257015, Shandong, China
  • Received:2015-10-18 Online:2016-09-26 Published:2016-09-26
  • Supported by:

    Supported by Major National Oil and Gas Projects(2011ZX05009-002);Fundamental Research Funds for the Central Universities(14CX06068A)

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407

摘要：

利用物性数据分析、铸体薄片鉴定、扫描电镜观察、图像分析技术等手段，探讨了临南洼陷沙三段砂岩储层孔隙度控制因素，并运用灰色关联等研究方法量化各因素的影响程度，最终建立储层孔隙度综合预测模型。结果表明，控制临南洼陷沙三段砂岩储层孔隙度的因素包括与沉积相关的粒度因素和分选因素，以及与成岩相关的压实因素、胶结因素和溶蚀因素。在限定压实条件下，孔隙随埋深的变化和岩石粒度、分选系数具相关性；粒度较粗的储集层物性相对较好，且分选性对原始物性的影响要大于粒级的影响；碳酸盐岩胶结物质体积分数大于5%时，孔隙度与碳酸盐岩体积分数呈负相关；以长石颗粒溶蚀为主的溶蚀作用具有明显的增孔效应；随着黏土矿物含量增高，孔隙度逐渐降低。运用灰色关联法量化各项地质参数对储层孔隙度的影响，进而在设定现今储层孔隙度为正常埋藏压实保存孔隙度与其他成岩作用对孔隙度贡献的叠加的前提下，建立了孔隙度综合预测的数学模型。经17组数据的验证，该预测方法的准确率可达90.5%。

关键词: 临南洼陷, 储层物性, 灰色关联, 孔隙度预测

Abstract:

Based on the data of physical properties anaylsis, thin sections identification, scanning electron microscope and digital image anaylsis,the authors studied the controlling factors of Shahejiie 3rd sandstone porosity in Linnan sag.And then using the method of grey incidence,the authors quantified the impact of different factors and established a comprehensive porosity prediction model.Studies have shown that the controlling factors of Shahejiie 3rd sandstone porosity in Linnan sag include sedimentation related granularity factors and selection factors as well as diagenesis related compaction factors, cementation factors and corrosion factors. Under specific compaction condition, the porosity varies with the burial depth, the granularity and the sorting. The coarser granularity is,the higher porosity is. The porosity varies much among different selected areas. Carbonatite is the main cementation type, which has unconspicuous influence on porosity when its content is less than 5%. Feldspar erosion is the main dissolution type. The grey incidence analysis made it possible to quantify the impact of various factors on reservoir porosity,and then establish the prediction model,with the assumption of that, the present porosity is the combination of normal compaction porosity and the contribution of diagenesis. After verification of 17 groups data,the accuracy of prediction method is 90.5%.

Key words: Linnan sag, reservoir property, grey incidence, porosity prediction

中图分类号: 

  • TE122

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