混合偶极子远探测响应影响因素及探测特性分析

谢关宝

谢关宝. 混合偶极子远探测响应影响因素及探测特性分析[J]. 石油钻探技术,2022, 50(6):28-34. DOI: 10.11911/syztjs.2022108
引用本文: 谢关宝. 混合偶极子远探测响应影响因素及探测特性分析[J]. 石油钻探技术,2022, 50(6):28-34. DOI: 10.11911/syztjs.2022108
XIE Guanbao. Analysis of response influencing factors and detection characteristics of hybrid dipole remote detection [J]. Petroleum Drilling Techniques,2022, 50(6):28-34. DOI: 10.11911/syztjs.2022108
Citation: XIE Guanbao. Analysis of response influencing factors and detection characteristics of hybrid dipole remote detection [J]. Petroleum Drilling Techniques,2022, 50(6):28-34. DOI: 10.11911/syztjs.2022108

混合偶极子远探测响应影响因素及探测特性分析

基金项目: 国家自然科学基金项目“海相深层油气富集机理与关键工程技术基础研究”(编号:U19B6003)资助
详细信息
    作者简介:

    谢关宝(1977—),男,山东济宁人,2001年毕业于石油大学(华东)应用地球物理专业,2013年获中国石油大学(华东)地质资源与地质工程专业博士学位,高级工程师,主要从事测井方法研究、岩石物理试验与分析、地球物理正反演及测井资料解释等方面的工作。E-mail:baoupc@163.com

  • 中图分类号: P631.54

Analysis of Response Influencing Factors and Detection Characteristicsof Hybrid Dipole Remote Detection

  • 摘要:

    现有随钻测井技术存在仪器过长、信号同步困难和探测盲区大等问题,如何实现对地层边界的实时探测与精确成像,是目前随钻测井的热点和难点问题。为此,以闭合线圈为发射线圈、非闭合线圈为接收线圈,设计了一种新型混合偶极子天线系统,给出了其结构和测量原理,构建了测量电势信号转换成地质信号的方法,分析了基于电场信号的远探测响应规律及影响因素。在此基础上,对比分析了典型层状介质混合偶极子远探测地质信号的实部和虚部与源距及工作频率的关系,考察了地质信号对地层界面方位的敏感性,以及电阻率和对比度对探边能力的影响规律。最后,借助单界面模型,明确了混合偶极子远探测方法在短源距及多种工作频率下的最大探边距离。研究结果可为混合偶极子远探测测井仪器的研制提供依据。

    Abstract:

    Accomplishing real-time detection and accurate imaging of a formation boundary is one of the current urgent and difficult points of logging while drilling (LWD). However, existing LWD technologies face problems such as overlong instruments, difficult signal synchronization, and large detection blind areas,etc. Therefore, in this paper, closed and open coils were employed as transmitter and receiver coils, respectively, and a new hybrid dipole antenna system was designed. In addition, the structure and the measurement principle of the system were explained, and the method of converting measured electric potential signals into geological signals was established. The response law and influencing factors of remote detection based on electric field signals were analyzed. Accordingly, the relationship of the real and imaginary parts of the geological signals with the coil spacing and working frequency of the hybrid dipole remote detection in typical laminated media was studied. The azimuth sensitivity of the geological signals to the formation interface, and the influencing law of resistivity and contrast on the boundary detection ability were investigated. Finally, with a single interface model, the maximum boundary detection distance of the hybrid dipole remote detection method under short coil spacing and multiple working frequencies was determined. The research results can provide a theoretical basis for the development of logging instruments with hybrid dipole remote detection.

  • 图  1   电偶极子天线等效图

    Figure  1.   Equivalence of electric dipole antennas

    图  2   混合偶极子天线基本结构

    Figure  2.   Basic structure of the hybrid dipole antenna

    图  3   100 kHz工作频率下不同源距ME天线的响应信号

    Figure  3.   Response signals of ME antennas with different coil spacing under a working frequency of 100 kHz

    图  4   不同工作频率下ME天线的响应信号

    Figure  4.   Response signals of ME antennas under different working frequencies

    图  5   ME天线响应信号的实部(100 kHz)

    Figure  5.   Real part of response signals of ME antennas (100 kHz)

    图  6   ME天线响应信号的虚部(100 kHz)

    Figure  6.   Imaginary part of response signals of ME antennas (100 kHz)

    图  7   不同地层电阻率条件下的测井响应信号(源距1.50 m、工作频率100 kHz)

    Figure  7.   Logging response signals under different formation resistivity (a coil spacing of 1.50 m and a working frequency of 100 kHz)

    图  8   不同地层电阻率条件下的测井响应信号(源距1.50 m、工作频率2 MHz)

    Figure  8.   Logging response signals under different formation resistivity (a coil spacing of 1.50 m and a working frequency of 2 MHz)

    图  9   不同地层电阻率对比度条件下的测井响应信号

    Figure  9.   Logging response signals under different formation resistivity contrasts

    图  10   不同工作频率下测井响应信号实部探边Picasso图

    Figure  10.   Picasso diagram of boundary detection by real part of logging response signals under different working frequencies

    图  11   不同工作频率下测井响应信号虚部探边Picasso图

    Figure  11.   Picasso diagram of boundary detection by imaginary part of logging response signals under different working frequencies

    图  12   不同工作频率下测井响应信号的综合探边Picasso图

    Figure  12.   Picasso diagram of comprehensive boundary detection of logging response signals under different working frequencies

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出版历程
  • 收稿日期:  2022-08-11
  • 修回日期:  2022-10-07
  • 网络出版日期:  2022-11-07
  • 刊出日期:  2022-12-07

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