邓少贵^1,3,,
刘天淋^1,2,,,
蔡联云^1,3,
来姝君⁴,
令狐松⁵,
王正楷^1,3
1. 中国石油大学(华东)深层油气重点实验室, 山东青岛 266580
2. 中海油田服务股份有限公司, 河北廊坊 065201
3. 海洋国家实验室海洋矿产资源评价与探测功能实验室, 山东青岛 266071
4. 中国石油塔里木油田公司勘探开发研究院, 新疆库尔勒 841000
5. 中国石油集团测井有限公司, 西安 710000

基金项目: 国家自然科学基金项目（42074134），国家科技重大专项（2017ZX05009001）共同资助


详细信息

作者简介: 邓少贵, 男, 1970年生, 博士, 中国石油大学(华东)教授, 主要从事电测井方法、岩石物理方面的研究.E-mail: dengshg@upc.edu.cn

通讯作者: 刘天淋, 男, 1993年生, 硕士, 2019年毕业于中国石油大学(华东)地质资源地质工程专业, 现为中海油田服务股份有限公司仪器与仪表工程师, 主要从事电磁波测井方法研究.E-mail: liutianlin122@126.com

中图分类号: P631

收稿日期:2020-07-10
修回日期:2021-03-01
上线日期:2021-06-10

Fast extraction of horizontal formation resistivity based on multi-component induction logging and its application

DENG ShaoGui^1,3,,
LIU TianLin^1,2,,,
CAI LianYun^1,3,
LAI ShuJun⁴,
LINGHU Song⁵,
WANG ZhengKai^1,3
1. Key Laboratory of Deep Oil and Gas, China University of Petroleum, Qingdao Shandong 266580, China
2. China Oilfield Services Limited, Langfang Hebei 065201, China
3. Key Laboratory of Deep Oil&Gas Geology and Exploration Ministry of Education, China University of Petroleum, Qingdao Shandong 266071, China
4. Research Institute of Exploration and Development, PetroChina Tarim Oilfield Company, Korla Xinjiang 841000, China
5. China Petroleum Group Logging Co., Ltd., Xi'an 710000, China


More Information

Corresponding author: LIU TianLin,E-mail:liutianlin122@126.com

MSC: P631

--> Received Date: 10 July 2020
Revised Date: 01 March 2021
Available Online: 10 June 2021


摘要
摘要:获取地层水平电阻率R_h和识别低电阻率对比度薄互层对裂缝性油气藏、页岩油气藏勘探开发至关重要，本文基于层状各向异性介质多分量感应测井响应解析解，研究了不同井斜条件下的磁场交叉分量H_xz、H_zx响应特征，通过组合交叉分量，定义了一种能指示地层层理方向电阻率大小的函数P_ha，再建立P_ha与地层R_h的对应刻度图版，用于快速提取水平电阻率和识别低电阻率对比度薄互层，并通过测井实例对此进行验证.计算结果表明：本方法所得水平视电阻率曲线R_ha对地层界面提取准确，地层较厚时R_ha和R_h非常接近.在大斜度井/水平井中，对于高电阻率对比度薄互层（薄互层邻层间电阻率对比度高），R_ha曲线识别能力强，倾角越大其水平电阻率提取越准确；对于低电阻率对比度薄互层（薄互层邻层间电阻率对比度低），R_ha曲线在井斜较小时可反映其宏观水平电阻率，而在大斜度井、水平井中对地层界面及各层水平电阻率提取准确.
关键词: 各向异性地层/
多分量感应测井/
水平电阻率/
薄层识别

Abstract:Based on the analytical solution of multi-component induction logging responses in layered anisotropic formations, apparent horizontal resistivity R_ha is proposed to extract horizontal resistivity and identify thin interbeds in high angle and horizontal wells. R_ha is obtained by defining a function P_ha which combines cross-components H_xz and H_zx, and interpolating from the calibration plates of P_ha-R_h. Results show that: Apparent horizontal resistivity R_ha exhibits high accurate indications of the boundary positions and extractions of the true horizontal resistivity even in thin layers. When dipping angle gets larger, R_ha is more capable for identifying thin interbedded sequences with high resistivity contrast (the resistivity contrast is high for the target layer and adjacent layers), and horizontal resistivity can be extracted more precisely. For the thin-bedded sequences with low resistivity contrast (the resistivity ratio is low for adjacent layers), R_ha can indicate macroscopic horizontal resistivity when dipping angle is small, and it can identify formation interfaces and extract the horizontal resistivity in each bed precisely in high angle and horizontal well.
Key words:Anisotropic formation/
Multi-component induction logging/
Horizontal resistivity/
Thin bed identification



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