A Real-Time Boundary-Detection Inversion Method Based on LWD Electromagnetic Wave Resistivity

Ai Weiping; Xie Xia; Mao Weimin; Wang Peng; Zhang Miao

doi:10.12473/CPM.202603072

您当前的位置：

首页 >

文章列表页 >

A Real-Time Boundary-Detection Inversion Method Based on LWD Electromagnetic Wave Resistivity

DRILLING TECHNOLOGY AND EQUIPMENT | 更新时间：2026-10-15

- A Real-Time Boundary-Detection Inversion Method Based on LWD Electromagnetic Wave Resistivity
- China Petroleum Machinery Vol. 54, Issue 9, Pages: 63-71(2026)
- 作者机构：
  
  1.中国石油集团工程技术研究院有限公司
  2.大庆油田有限责任公司第二采油厂第六作业区
- 作者简介：
- 基金信息：
- DOI：10.12473/CPM.202603072
  CLC： TE142/TE227/P631
- Received：25 March 2026，
  
  Revised：2026-03-09，
  
  Accepted：14 June 2026，
  
  Published：25 September 2026
- 稿件说明：
移动端阅览
艾维平，谢夏，毛为民，等.随钻电磁波电阻率探边分析与实时反演方法研究［J］.石油机械，2026，54（9）：63-71.

Ai Weiping，Xie Xia，Mao Weimin，et al.A real-time boundary-detection inversion method based on LWD electromagnetic wave resistivity［J］.China Petroleum Machinery，2026，54（9）：63-71.
艾维平，谢夏，毛为民，等.随钻电磁波电阻率探边分析与实时反演方法研究［J］.石油机械，2026，54（9）：63-71. DOI： 10.12473/CPM.202603072.

Ai Weiping，Xie Xia，Mao Weimin，et al.A real-time boundary-detection inversion method based on LWD electromagnetic wave resistivity［J］.China Petroleum Machinery，2026，54（9）：63-71. DOI： 10.12473/CPM.202603072.

摘要

水平井钻井中，随钻电磁波电阻率测井作为地质导向的核心技术，其对井眼轨迹精准控制及储层边界实时识别的能力直接影响油气开发效益。该技术测量的幅度比、相位差视电阻率信号，传统上仅用于表征地层电阻率，而这两类信号在邻近地层界面时呈现的“犄角”特征中还蕴含着界面距离信息。现有研究尚未充分挖掘这两类信号的探边能力，为弥补该研究空白，开展水平井随钻电磁波电阻率测井视电阻率信号的探边反演方法研究。基于电阻率测量原理定义视电阻率信号的探边能力，构建不同单界面模型中的电阻率信号探边Picasso图版；在此基础上，建立单界面反演模型，分析模型初值迭代规律并验证反演准确性；通过不同层厚模型的反演结果验证电阻率探边反演的适用性，并将其应用于实际水平井资料解释中。反演验证结果表明：重构响应与实测曲线符合度良好，在有效探边距离内参数精度满足需求；该方法在层厚1 m以上的地层中反演效果优异，结合实际井应用案例，证实方法的可行性与稳定性；所提出的电阻率信号探边反演方法，实现了厚层中地层电阻率与界面距离的快速、准确提取，结合先验信息，在无方位信号条件下可提供准确的界面位置。研究结果可为水平井地质导向提供可靠的技术手段，具有显著的工程应用价值。

Abstract

In horizontal drilling， electromagnetic wave resistivity logging-while-drilling （LWD） serves as a core technology for geosteering. Its efficacy in precise wellbore trajectory control and real-time reservoir boundary detection can directly affect the benefits of petroleum development. Traditionally， amplitude ratio and phase difference signals of apparent resistivity were measured with instruments to represent formation resistivity. However， the distinct "horn" anomalies proximate to bed boundaries encapsulate critical information about boundary distance. The boundary-detection potential inherent in these signals remains inadequately harnessed. To bridge this gap， this study introduces a real-time boundary-detection inversion method based on apparent resistivity signals derived from electromagnetic wave resistivity LWD in horizontal well. Firstly， the boundary-detection potential of apparent resistivity signals was defined in accordance with fundamental resistivity measurement principles， and the Picasso charts for resistivity signal-based boundary detection were prepared for diverse single-boundary models. Subsequently， a single-boundary inversion model for resistivity signal-based boundary detection was established， the iteration behaviors of model’ initial values were analyzed， and the inversion fidelity was rigorously validated. Finally， the robustness of the proposed method was validated across stratigraphic models of varying thicknesses and further corroborated through field data interpretation. Validation results demonstrate a high-fidelity reconstruction of measured signals， confirming that parameter accuracy satisfies operational requirements within the effective detection range. Applicability analysis reveals superior performance in formations exceeding 1 m in thickness. Field case studies substantiate both the feasibility and stability of the method. Crucially， the proposed method facilitates the rapid and precise extraction of formation resistivity and boundary distances in thick formations. By integrating prior geological information， it delivers accurate boundary positioning even in the absence of azimuthal measurements. This research provides a robust technical solution for geosteering operations in horizontal wells， demonstrating significant engineering utility.

关键词

Keywords

references

杨沁润，谭茂金，李桂山，等．大斜度井和水平井井地三维电阻率数值模拟和联合反演［J］．地球物理学报， 2020 ， 63 （ 12 ）： 4540 - 4552 ．

Yang Qinrun ， Tan Maojin ， Li Guishan ， et al . Numerical simulation and joint inversion of three-dimensional borehole-to-surface resistivity of high deviated or horizontal wells ［J］. Chinese Journal of Geophysics ， 2020 ， 63 （ 12 ）： 4540 - 4552 .

王磊，范宜仁，操应长，等．大斜度井/水平井随钻方位电磁波测井资料实时反演方法［J］．地球物理学报， 2020 ， 63 （ 4 ）： 1715 - 1724 ．

Wang Lei ， Fan Yiren ， Cao Yingchang ， et al . Real-time inversion of logging-while-drilling azimuthal electromagnetic measurements acquired in high-angle and horizontal wells ［J］. Chinese Journal of Geophysics ， 2020 ， 63 （ 4 ）： 1715 - 1724 .

岳喜洲，刘天淋，李国玉，等．随钻方位电磁波测井响应快速正演方法与地质导向应用［J］．地球物理学报， 2022 ， 65 （ 5 ）： 1909 - 1920 ．

Yue Xizhou ， Liu Tianlin ， Li Guoyu ， et al . An analytically fast forward method of LWD azimuthal electromagnetic measurement and its geo-steering application ［J］. Chinese Journal of Geophysics ， 2022 ， 65 （ 5 ）： 1909 - 1920 .

张盼，邓少贵，胡旭飞，等．超深随钻方位电磁波测井探测特性及参数敏感性分析［J］．地球物理学报， 2021 ， 64 （ 6 ）： 2210 - 2219 ．

Zhang Pan ， Deng Shaogui ， Hu Xufei ， et al . Detection performance and sensitivity of logging-while-drilling extra-deep azimuthal resistivity measurement ［J］. Chinese Journal of Geophysics ， 2021 ， 64 （ 6 ）： 2210 - 2219 .

李星翰，张文秀，陈鹏，等．随钻方位电磁波电阻率测井数据精度分析及实时反演成像［J］．地球物理学报， 2023 ， 66 （ 9 ）： 3990 - 3998 ．

Li Xinghan ， Zhang Wenxiu ， Chen Peng ， et al . Accuracy analysis and real-time inversion and imaging logging while drilling azimuth electromagnetic wave resistivity measurements ［J］. Chinese Journal of Geophysics ， 2023 ， 66 （ 9 ）： 3990 - 3998 .

刘英明，王磊，王才志，等．页岩油储层水平井随钻电磁波电阻率测井资料校正方法［J］． Applied Geophysics ， 2023 ， 20 （ 1 ）： 9 - 19 ．

Liu Yingming ， Wang Lei ， Wang Caizhi ， et al . Corrections of logging-while-drilling electromagnetic resistivity logging data acquired from the horizontal well for the shale oil reservoir ［J］. Applied Geophysics ， 2023 ， 20 （ 1 ）： 9 - 19 .

牒勇，朱军，杨善森，等．随钻电磁波电阻率前探测特性分析［J］．测井技术， 2021 ， 45 （ 3 ）： 273 - 279 ．

Die Yong ， Zhu Jun ， Yang Shansen ， et al . Analysis of looking ahead characteristics of electromagnetic propagation resistivity while drilling ［J］. Well Logging Technology ， 2021 ， 45 （ 3 ）： 273 - 279 .

Wang Lei ， Wu Zhenguan ， Fan Yiren ， et al . Fast anisotropic resistivities inversion of logging-while-drilling resistivity measurements in high-angle and horizontal wells ［J］. Applied Geophysics ， 2020 ， 17 （ 3 ）： 390 - 400 .

唐海全，肖红兵，李翠，等．基于随钻测井的地层界面识别方法［J］．天然气勘探与开发， 2016 ， 39 （ 4 ）： 8 - 12 ．

Tang Haiquan ， Xiao Hongbing ， Li Cui ， et al . Methods to identify formation boundary based on logging-while-drilling ［J］. Natural Gas Exploration and Development ， 2016 ， 39 （ 4 ）： 8 - 12 .

李勇华，杨锦舟，杨震，等．随钻电阻率地层边界响应特征分析及应用［J］．石油钻探技术， 2016 ， 44 （ 6 ）： 111 - 116 ．

Li Yonghua ， Yang Jinzhou ， Yang Zhen ， et al . The analysis and application of formation interface response characteristics of the resistivity LWD tool ［J］. Petroleum Drilling Techniques ， 2016 ， 44 （ 6 ）： 111 - 116 .

刘阳，王健，徐德龙．基于物理信息神经网络的随钻电磁波电阻率测井响应模拟［J］．测井技术， 2023 ， 47 （ 6 ）： 653 - 661 ．

Liu Yang ， Wang Jian ， Xu Delong . Simulation of electromagnetic wave resistivity logging response while drilling based on physical information neural network ［J］. Well Logging Technology ， 2023 ， 47 （ 6 ）： 653 - 661 .

Bell C ， Hampson J ， Eadsforth P ， et al . Navigating and imaging in complex geology with azimuthal propagation resistivity while drilling ［C］∥ The SPE Annual Technical Conference and Exhibition ， San Antonio，Texas ， 2006 ： SPE-102637-MS.

Bittar M ， Klein J ， Beste R ， et al . A new azimuthal deep-reading resistivity tool for geosteering and advanced formation evaluation ［C］∥ SPE Annual Technical Conference and Exhibition （ATCE）， Anaheim，California ， 2007 ： 1 - 9 .

Li Hu ， Wang Hua . Investigation of eccentricity effects and depth of investigation of azimuthal resistivity LWD tools using 3D finite difference method ［J］. Journal of Petroleum Science and Engineering ， 2016 ， 143 ： 211 - 225 .

Liang Pengfei ， Di Qingyun ， Chen Wenxuan ， et al . An EM LWD tool for deep reading looking-ahead ［J］. IEEE Access ， 2023 ， 11 ： 142601 - 142610 .

Li Qiming ， Omeragic D ， Chou L ， et al . New directional electromagnetic tool for proactive geosteering and accurate formation evaluation while drilling ［C］∥ SPWLA 46th Annual Logging Symposium ， New Orleans，Louisiana，USA ： SPW LA ， 2005 ： SPWLA-2005-UU.

Hu Song ， Li Jun ， Guo Hongbo ， et al . Analysis and application of the response characteristics of DLL and LWD resistivity in horizontal well ［J］. Applied Geophysics ， 2017 ， 14 （ 3 ）： 351 - 362 .

Omeragic D ， Habashy T ， Esmersoy C ， et al . Real-time interpretation of formation structure from directional EM measurements ［C］∥ SPWLA 47th Annual Logging Symposium ， Veracruz，Mexico ： SPWLA ， 2006 ： SPWLA-2006-SSS.

Pardo D ， Torres-Verdín C . Fast 1D inversion of logging-while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells ［J］. Geophysics ， 2015 ， 80 （ 2 ）： E111 - E124 .

Liu Ranming ， Zhang Wenxiu ， Chen Wenxuan ， et al . Factors and detection capability of look-ahead logging while drilling （LWD） tools ［J］. Petroleum Science ， 2025 ， 22 （ 2 ）： 850 - 867 .

Wang Lei ， Fan Yiren . Fast inversion of logging-while-drilling azimuthal resistivity measurements for geosteering and formation evaluation ［J］. Journal of Petroleum Science and Engineering ， 2019 ， 176 ： 342 - 351 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application of Long Lateral Section Horizontal Well Drilling Technology in Well ZC1

Cuttings Transport by Supercritical CO₂ in Enlarged Sections during Coiled Tubing Horizontal Drilling

High-frequency Plunger Lift Process for Deep Shale Gas Wells

Application of FAST Multiphase Flow Imaging Technology for Production Profile of Shale Gas Horizontal Wells

Hydraulic Parameters for Pressure-Maintained Milling of Soluble Bridge Plug by Coiled Tubing Technology

Related Author

Tang Honglin

Yang Chunxu

Zhong Junlin

Yu Jianqing

Liu Shaohu

Ding Kun

Zhao Yong

Jiang Qiang

Related Institution

Drilling Technology Research Institute

Zibei Oil Production Plant

School of Mechanical Engineering， Yangtze University

State Key Laboratory of Low-Carbon Catalysis and Carbon Dioxide Utilization

Shale Gas Development Technical Service Company， Sinopec Jianghan Oilfield Service Corporation

AI问答

⁰