天然气地球科学

• 天然气地质学 • 上一篇    下一篇

主成分分析在塔中地区奥陶系鹰山组碳酸盐岩岩性识别中的应用

杨兆栓,林畅松,尹宏,李浩,王清龙,薛学亚,高达   

  1. 1.中国地质大学(北京)能源学院,北京 100083;2.中国地质大学(北京)海洋学院,北京 100083; 
    3.中国石油塔里木油田分公司,新疆 库尔勒 841000;
    4.长江大学地球科学学院,湖北 武汉 430100
  • 收稿日期:2014-01-16 修回日期:2014-07-16 出版日期:2015-01-10 发布日期:2015-01-10
  • 作者简介:杨兆栓(1990-),男,山东济南人,硕士研究生,主要从事碳酸盐岩层序和沉积研究. E-mail:yzs_000@126.com.
  • 基金资助:

    国家重点基础研究发展计划“973”项目“中国西部典型叠合盆地隆坳格局形成演化与岩性地层圈闭发育模式”(编号:2011CB201103)|国家自然科学基金重点项目“塔里木盆地古生代古构造、古地理演变与成藏效应”(编号:41130422)联合资助.

Application of Principal Component Analysis in Carbonate Lithology Identification of the Ordovician Yingshan Formation in Tazhong Area

YANG Zhao-shuan,LIN Chang-song,YIN Hong,LI Hao,WANG Qing-long,XUE Xue-ya,GAO Da   

  1. 1.School of Energy Resources,China University of Geosciences,Beijing 100083,China;
    2.School of Ocean Sciences,China University of Geosciences,Beijing 100083,China;
    3.Tarim Oilfield Company,PetroChina,Korla 841000,China;
    4.School of Geosciences,Yangtze University,Wuhan 430100,China
  • Received:2014-01-16 Revised:2014-07-16 Online:2015-01-10 Published:2015-01-10

摘要:

塔中地区奥陶系碳酸盐岩岩性复杂,鹰山组取心资料较少,基于常规测井分析方法难以很好的识别。为了解决这一问题,选取鹰山组岩心薄片、测井和录井等地质资料较为齐全的7口井作为标准井,进而优选出对岩性变化反应敏感的自然伽马(GR)、补偿中子(CNL)、密度(DEN)、冲洗带电阻率(RXO)和声波时差(AC)等5条测井曲线。在此基础上,利用主成分分析法构建了Y1—Y5共5个综合变量,其中2个变量Y1和Y2的方差贡献率占总贡献率的85.83%,可以作为2个主成分有效地反映原有5个变量的有效信息。根据Y1和Y2主成分做交会图分析,可以有效地识别出颗粒灰岩、云岩以及藻灰岩。利用该特点,对塔中地区奥陶系鹰山组地质资料不全井的碳酸盐岩岩性进行了准确标定。与常规测井分析法相比,主成分分析法能够整合更多的测井参数,进而提供更好的能适应于碳酸盐岩岩性的测井定量识别方法。

关键词: 碳酸盐岩, 主成分分析, 岩性识别, 测井响应, 鹰山组

Abstract:

It is difficult to recognize complex lithology of the Ordovician carbonate in Tazhong area by conventional logging analysis with too little core data of Yingshan Formation.To solve this problem,seven wells with complete core slice,borehole and logging data of the Yingshan Formation were selected as standard wells.We chose five logging curves of GR,CNL,DEN,RXO,AC which have sensitive reaction to lithology change.Using the principal component analysis,we constructed five comprehensive variables including Y1-Y5.Among these variables,the variance proportion of Y1 and Y2 accounts for 85.83% of the total contribution ratio,so they can replace the original five variables efficiently as two principal components.Through the analysis of crossplot of Y1 and Y2 ,we can identify the grain stone,dolomite and algal limestone effectively.We depicted the carbonate lithology of non-complete wells from the Ordovician Yingshan Formation in Tazhong area precisely.Compared with the conventional logging analysis,the principal component analysis can integrate more parameters and adapt to the quantitative recognition of carbonate lithology.

Key words: Carbonate rock, Principal component analysis, Lithology identification, Log response, Yingshan Formation

中图分类号: 

  • TE122.2
[1]Liu Weifu.Identify lithology of carbonate rocks by fuzzy mathematics[J].Journal of Xinjiang Petroleum Institute,2003,15(3):35-39.[刘为付.模糊数学识别深层潜山碳酸盐岩岩性[J].新疆石油学院学报,2003,15(3):35-39.]
[2]Draper B A,Baek K,Bartlett M S,et al.Recognizing faces with PCA and ICA[J].Computer Vision Image Understanding,2003,(11):115-137.
[3]Chen Jun,Liu Mingde,Yin Hong,et al.Application of quantitative carbonate analyzer for Ordovician reservoir in middle Tarim Basin[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2012,14(5):106-108.[陈军,刘明德,尹宏,等.碳酸盐岩快速定量分析仪在塔中奥陶系中的应用[J].重庆科技学院学报:自然科学版,2012,14(5):106-108.]
[4]Yu Xiulin,Ren Xuesong.Multivariate Statistic Analysis[M].Beijing:Higher Education Press,1999:154-167.[于秀林,任雪松.多元统计分析[M].北京:中国统计出版社,1999:154-167.]
[5]Guo Ke,Gong Hao.Multivariate Statistical Method and Application[M].Chengdu:University of Electronic Science and Technology of China Press,2003:249-251.[郭科,龚灏.多元统计方法及其应用[M].成都:电子科技大学出版社,2003:249-251.]
[6]Mei Changlin,Fan Jincheng.Methodology of Data Analysis[M].Beijing:Higher Education Press,2006:113-125.[梅长林,范金成.数据分析方法[M].北京:高等教育出版社,2006:113-125.]
[7]Rong Yue,Liu Zhibin,Feng Jiyan,et al.Application of principal components analysis to analyze soil of sewage irrigation region[J].Journal of Liaoning Technical University,2007,26:252-254.[荣跃,刘志斌,冯吉燕,等.主成分分析在污灌区土壤分析中的应用[J].辽宁工程技术大学学报,2007,26:252-254.]
[8]Fang Hongwei,Sun Shiqun,Zhu Yulong,et al.Principal component analysis apply in water quality assessment[J].Environmental Science and Management,2009,34(12):152-154.[方红卫,孙世群,朱雨龙,等.主成分分析法在水质评价中的应用及分析[J].环境科学与管理,2009,34(12):152-154.]
[9]Xu Yajing,Wang Yuanzheng.The improvement of the application method of principle component analysis[J].Mathematics in Practice and Theory,2006,36(6):68-75.[徐雅静,汪远征.主成分分析应用方法的改进[J].数学的实践与认识,2006,36(6):68-75.]
[10]Liu Aijinag,Zuo Lie,Li Jingjing,et al.Application of principal component analysis in carbonate lithology identification:A case study of the Cambrian carbonate reservoir in YH field[J].Oil & Gas Geology,2013,34(2):192-196.[刘爱疆,左烈,李景景,等.主成分分析法在碳酸盐岩岩性识别中的应用——以YH地区寒武系碳酸盐岩储层为例[J].石油与天然气地质,2013,34(2):192-196.]
[11]Wang Hongbo,Yao Jun,Li Shuangwen,et al.The correction of correspondence analysis to the lithologic identification plate of igneous rocks in Huanghua Depression[J].Natural Gas Geoscience,2013,24(4):719-724.[王宏波,姚军,李双文,等.利用对应分析法校正火成岩岩性识别图版——以黄骅凹陷为例[J].天然气地球科学,2013,24(4):719-724.]
[12]Li Zubing,Luo Minggao,Wang Jianwei,et al.Research on methods of identifying volcanic rocks:An example from Shahejie Group in 5th structure,Nanpu[J].Natural Gas Geoscience,2009,20(1):113-118.[李祖兵,罗明高,王建伟,等.利用测井资料识别火山岩岩性的方法探讨——以南堡5号构造沙河街组岩性圈闭为例[J].天然气地球科学,2009,20(1):113-118.][13]Liu Qianru,Xue Linfu,Pan Baozhi,et al.Study on glutenite reservoir lithology identification in Lishu fault[J].Well Logging Technology,2013,37(3):269-273.[刘倩茹,薛林福,潘保芝,等.梨树断陷砂砾岩测井岩性识别[J].测井技术,2013,37(3):269-273.]
[14]Chen Kewei,Dou Li,Sun Fengxia.Logging interpretation method of the lithology of carbonate rock bearing formation[J].Petroleum Geology & Oilfield Development in Daqing,1999,18(6):45-47.[陈可为,窦立,孙凤霞.含碳酸盐岩地层岩性测井解释方法[J].大庆石油地质与开发,1999,18(6):45-47.]
[15]Huang Chuankun,Wang Yuanqing.Application research of principal component analysis[J].Modern Business Trade Industry,2011,17:26-28.[黄传坤,王远清.主成分分析方法的应用研究[J].现代商贸工业,2011,17:26-28.]
[16]Song Yanjie,Liu Pengqi,Yan Weilin.Lithology identification of M group of N oilfield based on principal component analysis method[J].Journal of Heilongjiang Institute of Science & Technology,2013,23(2):173-175.[宋延杰,刘鹏奇,闫伟林.基于主成分分析法的N油田M油组储层岩性识别[J].黑龙江科技学院学报,2013,23(2):173-175.]
[17]Wang Yonggang.Application of principal component analysis based on SPSS in identification of the complicated oil and water layers-take central section of Junggar Basin as an example[J].Inner Mongolia Petrochemical Industry,2012,13:41-143.[王永刚.基于SPSS的主成分分析在复杂碎屑岩油水层识别中的应用——以准噶尔盆地腹部中1区为例[J].内蒙古石油化工,2012,13:41-143.]
[18]Wang Hongbo,Yao Jun,Li Shuangwen,et al.The correction of correspondence analysis to the lithologic identification plate of igneous rocks in Huanghua Depression[J].Natural Gas Geoscience,2013,24(4):719-724.[王宏波,姚军,李双文,等.利用对应分析法校正火成岩岩性识别图版——以黄骅凹陷为例[J].天然气地球科学,2013,24(4):719-724.]
[19]Song Qiuqiang,Zhang Zhansong,Zhang Chong,et al.Application of logging facies-lithofacies analysis in complex lithology[J].Journal of Oil and Gas Technology,2013,35(7):78-81.[宋秋强,张占松,张冲,等.测井相—岩相分析技术在复杂岩性中的应用[J].石油天然气学报,2013,35(7):78-81.]
 
[1] 王清龙,林畅松,李浩,韩剑发,孙彦达,何海全. 塔里木盆地西北缘中下奥陶统碳酸盐岩沉积微相特征及演化[J]. 天然气地球科学, 2018, 29(9): 1274-1288.
[2] 吕正祥,王先东,吴家洋,卿元华. 渤海海域中部古近系湖相碳酸盐岩储层成岩演化特征[J]. 天然气地球科学, 2018, 29(7): 921-931.
[3] 王珊,曹颖辉,杜德道,王石,李洪辉,董洪奎,严威,白莹. 塔里木盆地柯坪—巴楚地区肖尔布拉克组储层特征与主控因素[J]. 天然气地球科学, 2018, 29(6): 784-795.
[4] 史文洋,姚约东,程时清,石志良,高敏. 裂缝性低渗透碳酸盐岩储层酸压改造油井动态压力特征[J]. 天然气地球科学, 2018, 29(4): 586-596.
[5] 张永庶,伍坤宇,姜营海,王鹏,蔡智洪,高发润,谭武林,高树芳,鲜本忠. 柴达木盆地英西深层碳酸盐岩油气藏地质特征[J]. 天然气地球科学, 2018, 29(3): 358-369.
[6] 孟凡坤,雷群,徐伟,何东博,闫海军,邓惠. 应力敏感碳酸盐岩复合气藏生产动态特征分析[J]. 天然气地球科学, 2018, 29(3): 429-436.
[7] 魏新善,魏柳斌,任军峰,蔡郑红,周黎霞. 鄂尔多斯盆地下古生界风化壳气藏差异性[J]. 天然气地球科学, 2018, 29(2): 178-188.
[8] 胡安平,沈安江,潘立银,王永生,李娴静,韦东晓. 二元同位素在碳酸盐岩储层研究中的作用[J]. 天然气地球科学, 2018, 29(1): 17-27.
[9] 王媛,林畅松,李浩,孙彦达,何海全,王清龙,姬牧野,张曼莉. 高频层序地层格架中碳酸盐岩成岩作用研究——以哈萨克斯坦Marsel探区下石炭统谢尔普霍夫阶为例[J]. 天然气地球科学, 2018, 29(1): 28-41.
[10] 张宫,冯庆付,武宏亮,王克文,冯周. 基于核磁T2谱对数均值差异的碳酸盐岩气水识别[J]. 天然气地球科学, 2017, 28(8): 1243-1249.
[11] 姜黎明,余春昊,齐宝权,朱涵斌,王勇军. 孔洞型碳酸盐岩储层饱和度建模新方法及应用[J]. 天然气地球科学, 2017, 28(8): 1250-1256.
[12] 张合文,邹洪岚,刘双双,鄢雪梅,梁冲. 碳酸盐岩酸蚀蚓孔双重分形描述方法[J]. 天然气地球科学, 2017, 28(3): 466-472.
[13] 殷杰,王权. 利用测井和地震信息识别和预测优质烃源岩——以渤海湾盆地饶阳凹陷沙一段为例[J]. 天然气地球科学, 2017, 28(11): 1761-1770.
[14] 牟炜卫,王琪,田兵,郝乐伟,胡子见. 珠江口盆地白云凹陷北坡中深部储层成岩相测井响应特征[J]. 天然气地球科学, 2017, 28(10): 1601-1612.
[15] 杜洋,樊太亮,高志前. 塔里木盆地中下奥陶统碳酸盐岩地球化学特征及其对成岩环境的指示——以巴楚大板塔格剖面和阿克苏蓬莱坝剖面为例[J]. 天然气地球科学, 2016, 27(8): 1509-1523.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!