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| 应用Bayes逐步判别分析识别辛176区块Es4储层岩性 | |
| 引用本文： | 鞠武,韩学辉,支乐菲,费海涛,李峰弼.应用Bayes逐步判别分析识别辛176区块Es4储层岩性[J].物探化探计算技术,2012,34(5):576-581,502. |
| 作者姓名： | 鞠武 韩学辉 支乐菲 费海涛 李峰弼 |
| 作者单位： | 1. 成都理工大学 能源学院,四川成都,610059 2. 中国石油大学 地球资源与信息学院,山东东营,257061 3. 中国石油化工股份有限公司 石油工程技术研究院,北京,100101 |
| 基金项目： | 国家科技重大专项(2011ZX05009-003);山东省自然科学基金(Y2008E08) |
| 摘 要： | 辛176区块沙四段储层存在粗砂岩、不等粒砂岩和细砂岩,岩性非均质性较强.“四性”关系研究表明,岩性的准确识别是正确评价储层静态参数,识别油水层特别是低阻油层的前提.这里介绍了Bayes逐步判别方法原理和技术流程,在应用有序聚类分析方法开展测井曲线自动分层的基础上,综合应用自然电位(SP)、自然伽玛(GR)、声波时差(AC)、深探测电阻率(Rt)、浅探测电阻率(Rxo)测井资料和岩心分析资料,建立了粗砂岩、不等粒砂岩、细砂岩和泥岩的判别函数.应用效果表明,Bayes逐步判别法识别岩性符合率达到了86％,能够满足辛176区块沙四段储层岩性识别的需要. |
| 关 键 词： | Bayes逐步判别分析 岩性识别 测井 有序聚类分析 自动分层 |
A LITHOLOGY IDENTIFICATION METHOD IN ES4 RESERVOIR OF XIN 176 BLOCK WITH BAYES STEPWISE DISCRIMINANT METHOD |
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| Institution: | JU Wu 1,HAN Xue-hui2,ZHI Le-fei2,et al.(1.College of Energy Resources,Chengdu University of Technology,Chengdu 610059,China;2.Faculty of Earth Resources and Information,China University of Petroleum,Dongying 257061,China). |
| Abstract: | There are fine sandstone,grit sandstone and unequigranular sandstone in Es4 reservoir of Xin 176 block,so its lithology heterogeneity is strong.The research of four-property relationship suggests that the accurate lithology identification is the premise of correct evaluation of reservoir static parameters and identification of oil and water layers,especially the low resistivity reservoir.This article introduces the principle and technique flow of Bayes stepwise discriminant method and uses spontaneous potential,gamma ray,acoustic travel time,formation true resistivity,flushed zone resistivity and core analysis data to build discriminant functions of fine sandstone,grit sandstone,unequigranular sandstone and mudstone.The effect of application suggests that the identification accuracy rate of Bayes stepwise discriminant method to recognize lithology reaches 86%,so it can meet the need of lithology recognition in Es4 reservoir of Xin 176 block. |
| Keywords: | bayes stepwise discriminant method lithology identification well logging orderly cluster analysis auto-layered |
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