| 本文已被：浏览次 下载次 |
码上扫一扫！ |
|
|
| 油基钻井液环境下电成像测井响应分析及定量反演 |
|
高建申1,孙建孟2,姜艳娇3,于其蛟4,刘彦萍1
|
|
(1.西安石油大学光电油气测井与检测教育部重点实验室,陕西西安 710065;2.中国石油大学(华东)地球科学与技术学院, 山东青岛266580;3.东北石油大学地球科学学院,黑龙江大庆 163318;4.中国石化胜利石油工程有限公司测井公司,山东东营 257061)
|
|
| 摘要: |
| 针对电成像测井在油基钻井液环境下存在的问题，利用数值模拟方法研究垂直耦合处理方法和常规处理方法对应的视电阻率响应特征，运用支持向量机回归算法进行地层电阻率和仪器极板与地层之间间隔参数的定量反演，以水基钻井液环境下电成像测井为参考依据，对比检验反演效果。结果表明，反演结果解决了常规方法在低阻地层中成像不清晰的问题，消除了垂直耦合处理方法中的反转现象，定量反映出地层电阻率和低阻地层中极板与地层之间的间隔变化，为油基钻井液环境下电成像测井数据处理提供有利支持。 |
| 关键词: 油基钻井液 电成像测井 支持向量回归 定量反演 地层电阻率 |
| DOI：10.3969/j.issn.1673-5005.2018.03.006 |
| 分类号:P631.84 |
| 文献标识码:A |
| 基金项目:国家自然科学基金项目（41474108，41704106）；国家科技重大专项（2016ZX05006002-004） |
|
| Response analysis and quantitative inversion of electrical imaging logging in oil based drilling fluid environment |
|
GAO Jianshen1, SUN Jianmeng2, JIANG Yanjiao3, YU Qijiao4, LIU Yanping1
|
|
(1.Key Laboratory of Education Ministry for Photoelectric Logging and Detection, Xi 'an Shiyou University, Xi 'an 710065, China;2.School of Geosicences in China University of Petroleum(East China), Qingdao 266580, China;3.College of Geosciences,Northeast Petroleum University, Daqing 163318, China;4.Well Logging Company of Shengli Petroleum Engineering Company Limited, SINOPEC, Dongying 257061, China)
|
| Abstract: |
| Aiming at existing problems of electrical imaging logging technology in oil based drilling fluid environment,the apparent resistivity characteristics of a vertical coupling method and conventional processing methods are studied using numerical simulation. Then, the formation resistivity and the standoff between the instruments pad and formation are inversed quantitatively using support vector machine for regression. The effectiveness of this inversion processing is verified by comparing results with that imaged in a water based drilling fluid environment. Fuzzy images in the conventional processing for low-resistivity formation is resolved, and the reversal problem that may occur in the vertical coupling method for high-resistivity formation is eliminated.The low or high formation resistivity and the standoff variation in relatively low-resistivity formation can be interpreted quantitatively. This study can greatly benefit data processing for electrical imaging logging in oil based drilling fluid environment. |
| Key words: oil based drilling fluid electrical imaging logging support vector machine for regression (SVR) quantitative inversion formation resistivity |
