常规测井资料定量解释碳酸盐岩微相——以伊拉克北Rumaila油田Mishrif组为例

doi:10.7623/syxb201306007

石油学报 ›› 2013, Vol. 34 ›› Issue (6): 1088-1099.DOI: 10.7623/syxb201306007

常规测井资料定量解释碳酸盐岩微相——以伊拉克北Rumaila油田Mishrif组为例

王玉玺^1,2, 田昌炳³, 高计县^1,2,3, 张学丰^1,2, 刘建强^1,2, 田泽普^1,2, 宋新民³, 刘波^1,2

1. 北京大学石油与天然气研究中心北京 100871;
2. 北京大学地球与空间科学学院北京 100871;
3. 中国石油勘探开发研究院北京 100083

收稿日期:2013-05-08 修回日期:2013-07-16 出版日期:2013-11-25 发布日期:2013-10-13
通讯作者: 刘波，男，1965年4月生，1986年获成都地质学院学士学位，1997年获北京大学博士学位，现为北京大学石油与天然气研究中心副主任、研究员，主要从事盆地构造-沉积演化、储层沉积学、层序地层学、碳酸盐岩沉积-成岩作用研究。Email：bobliu@pku.edu.cn
作者简介:王玉玺，男，1990年3月生，2012年毕业于中国地质大学（北京），现为北京大学地球与空间科学学院石油地质专业硕士研究生，主要从事碳酸盐岩沉积微相测井解释及三维地质建模方面的研究工作。Email：wangyuxi0315@Gmail.com
基金资助:
国家自然科学基金项目（No.41272137）、中国石油天然气股份有限公司“十二五”重大科技专项（11.2011E-2501.X.01）和中国石油勘探开发研究院院级课题（2012Y-033）资助。

A quantitative explanation of carbonate microfacies based on conventional logging data：a case study of the Mishrif Formation in north Rumaila oil field of Iraq

WANG Yuxi^1,2, TIAN Chuangbing³, GAO Jixian^1,2,3, ZHANG Xuefeng^1,2, LIU Jianqiang^1,2, TIAN Zepu^1,2, SONG Xinmin³, LIU Bo^1,2

1. Oil & Gas Research Center, Peking University, Beijing 100871, China;
2. School of Earth & Space Science, Peking University, Beijing 100871, China;
3. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China

Received:2013-05-08 Revised:2013-07-16 Online:2013-11-25 Published:2013-10-13

摘要/Abstract

摘要：

基于常规测井资料分析的沉积微相精细识别方法在碎屑岩中有着很好的识别能力和预测能力。但是，碳酸盐岩强烈的成岩作用和成岩后改造，使得在碎屑岩体系中行之有效的主要基于自然伽马曲线（GR）、自然电位曲线（SP）和深、浅电阻率曲线（RD、RS）的交会图和模糊聚类沉积微相测井识别方法在碳酸盐岩沉积微相划分中遇到挑战。波斯湾地区伊拉克 Rumaila油田主力储层白垩系Mishrif组为典型的沉积孔隙型碳酸盐岩储层。在北Rumaila油田选取Mishrif组岩心、测井和录井等地质资料较为完备的8口代表性钻井作为标准井，对其进行沉积相、亚相和微相的精细刻画，进而提取标准井中自然伽马（GR）、中子（CNL）和密度（DEN）3条常规测井曲线与沉积微相相匹配的关键参数（曲线均值和GR曲线的离差平方和），建立测井相-沉积微相的定量转换关系。在此基础上，采用Bayes逐步判别法建立了基于常规测井的北Rumaila油田Mishrif组碳酸盐岩沉积微相的测井判别模型，并利用该模型实现了对未建模井沉积微相的准确标定。与交会图法和模糊聚类法相比，Bayes逐步判别法能够整合更多的测井参数，进而提供更好的适应于沉积型碳酸盐岩的沉积微相测井定量识别方法。

关键词: 孔隙型碳酸盐岩, 沉积微相, Bayes逐步判别法, 测井判别模型, Mishrif组

Abstract:

Commonly, conventional logging data can provide high-quality cross-plot and fuzzy clustering analysis methods to recognize microfacies of clastic reservoirs with good recognition and prediction. However, these methods meet lots of challenges in the recognition of carbonate microfacies because of strong diagenetic changes, which results in some difficulties in these two methods just based on gamma-ray (GR), spontaneous potential (SP) and deep/shallow resistivity (DR and SR) logs. As a main reservoir of the Rumaila oil field, the Mishrif Formation is a typical porous carbonate reservoir. Eight wells with complete core, borehole and logging data of the Mishrif Formation from the north Rumaila oil field were selected as standard wells. We extracted several key parameters of gamma-ray, neutron and density logs to match the microfacies recognized from the standard wells and established a logging facies-microfacies transformation model based on precise core analysis. Using the Bayes stepwise discriminant, we established a well logging discriminating template of microfacies from the Mishrif Formation in the north Rumaila oil field based on conventional well logging data and depicted the microfacies of non-standard wells precisely by applying this template. Compared with the cross-plot and fuzzy clustering analysis methods, the Bayes stepwise discriminant can integrate more parameters and adapt to the quantitative microfacies recognition of sedimentary carbonates better.

Key words: porous carbonate, microfacies, Bayes stepwise discriminant, logging discriminating template, Mishrif Formation

中图分类号:

P631.8

王玉玺, 田昌炳, 高计县, 张学丰, 刘建强, 田泽普, 宋新民, 刘波. 常规测井资料定量解释碳酸盐岩微相——以伊拉克北Rumaila油田Mishrif组为例[J]. 石油学报, 2013, 34(6): 1088-1099.

WANG Yuxi, TIAN Chuangbing, GAO Jixian, ZHANG Xuefeng, LIU Jianqiang, TIAN Zepu, SONG Xinmin, LIU Bo. A quantitative explanation of carbonate microfacies based on conventional logging data：a case study of the Mishrif Formation in north Rumaila oil field of Iraq[J]. ACTA PETROLEI SINICA, 2013, 34(6): 1088-1099.

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常规测井资料定量解释碳酸盐岩微相——以伊拉克北Rumaila油田Mishrif组为例

A quantitative explanation of carbonate microfacies based on conventional logging data：a case study of the Mishrif Formation in north Rumaila oil field of Iraq

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