Drilling & Production Technology ›› 2021, Vol. 44 ›› Issue (1): 1-6.DOI: 10.3969/J. ISSN.1006-768X.2021.01.01

• DRILLING TECHNOLOGY •     Next Articles

Identification of Main Error Sources from Well Trajectory Measurement Based on Contribution Rate Analysis

DIAO Binbin1 , GAO Deli1 , HU Degao2, LIU Yaowen2   

  1. 1. Key Laboratory for Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China; 2. Sinopec Chongqing Fuling Shale Gas Exploration & Development Co. , Ltd. Fuling , Chongqing 408014, China
  • Online:2021-01-25 Published:2021-01-25

基于贡献率分析的井眼轨迹测量主要误差源辨识

刁斌斌1,高德利1(中国科学院院士),胡德高2,刘尧文2   

  1. 1中国石油大学石油工程教育部重点实验室·北京2中石化重庆涪陵页岩气勘探开发有限公司
  • 作者简介:刁斌斌(1983-),博士,副研究员,2012年获中国石油大学(北京)油气井工程专业博士学位,现为中国石油大学(北京)石油工程学院硕士生导师,主要从事油气井力学与控制工程研究。地址:(102249)北京市昌平区府学路18号,电话:010-89733702,E-mail:diaobinbin@126.com
  • 基金资助:
    国家自然科学基金面上项目“邻井套管柱对近钻头磁信标磁场分布的影响与主动磁测距井眼防碰机制研究”(编号:51974336);国家自然科学基金“石油化工联合基金(A类)”重点支持项目“页岩和致密油气田高效开发建井基础研究”(编号:U1762214)和国家自然科学基金创新研究群体项目“复杂油气井钻井与完井基础研究”(编号:51821092)。

Abstract:

There are many error sources in wellbore trajectory measurement and it is difficult to correct them. In order to improve the precision of wellbore trajectory measurement, it is necessary to identify the main error sources. The error sources considered in the current wellbore trajectory measurement error calculation model are introduced. The model for calculating the contribution rate of each error source to the eigenvalue of the covariance matrix, the semi-axis length of the error ellipsoid, the volume or surface area of the error ellipsoid is discussed, and it is recommended to calculate the contribution rate of an error source to the volume of the error ellipsoid to analyze the contribution rate of the error source to the wellbore trajectory measurement error. And, based on the error contribution rate of each error source to wellbore trajectory measurement, the method for identifying the main error sources in wellbore trajectory measurement is proposed. The calculation example shows that the main error sources of the vertical section are the misalignment error of the tool X / Y axis, the depth random reference error and the depth scale error, and the main error sources of the inclined section are the misalignment errors, magnetic interference errors and the constant declination error, the depth scale error and the depth stretch error, the main error sources of horizontal section are the bottom hole assembly droop error, the magnetic interference error, the constant declination error and the depth stretch error. In horizontal well drilling engineering, the measurement error of wellbore trajectory can be effectively reduced by reducing the magnetic interference errors, constant declination error, depth errors and misalignment errors according to the main error sources.

Key words: complex structure well, directional drilling, wellbore trajectory, measurement error, contribution rate

摘要: 导致井眼轨迹测量误差的误差源个数多、校正难度大,为了提高井眼轨迹测量精度,需要辨识其中的主要误差源。通过介绍目前井眼轨迹测量误差计算模型考虑的误差源,探讨计算各误差源对协方差矩阵特征值、误差椭球半轴长、误差椭球体积或表面积贡献率的模型,推荐通过计算某个误差源对误差椭球体积的贡献率,来分析该误差源对井眼轨迹测量误差的贡献率;并以各误差源对井眼轨迹测量误差的贡献率为判据,提出了井眼轨迹测量主要误差源的辨识方法。算例表明,直井段的主要误差源为工具 X/Y轴的错位误差、井深测量的随机参考误差和刻度误差,斜井段的主要误差源为错位误差、磁干扰误差、恒定的磁偏角误差、井深测量的刻度误差和伸缩类型误差,水平井段的主要误差源为底部钻具组合下垂误差、磁干扰误差、恒定的磁偏角误差和井深测量伸缩类型误差。在水平井钻井工程中,针对主要误差源,减少磁干扰误差、恒定的磁偏角误差、井深测量误差和错位误差,才能有效减小井眼轨迹的测量误差。