文章摘要
余峰,张秀梅,刘西恩,陈洪海,林伟军,毛捷.相关固井质量的声波测井仪器刻度和标定*[J].,2014,33(2):154-159
相关固井质量的声波测井仪器刻度和标定*
Calibration and testing of acoustic logging tools used in the evaluation of cement bonding conditions
投稿时间:2013-09-06  修订日期:2014-03-03
中文摘要:
      目前,中海油服已经建成了一批用于固井质量和套损检测的刻度井,刻度井群可以物理模拟不同的套管规格、水泥密度以及不同的水泥胶结状况等,可用于实现对固井质量和套损检测的声波测井仪器进行系统的标定和测试。以刻度井群中用于标定仪器在高密度和中密度水泥套管井中测量性能的应用为例,介绍了依据高精度的超声扫描、数值模拟和实际仪器的测试结果,初步实现对固井质量检测中常用的声幅-变密度测井(CBL/VDL)和扇区水泥胶结测井(SBT)仪器进行定量刻度和标定的步骤和方法。研究工作表明,质量测试可以掌握刻度井中各组成部分的声学物理参数以及胶结质量,在此基础上结合数值模拟和实际仪器的测量响应,可基本实现待测仪器工作性能的标定。
英文摘要:
      COSL has built a number of calibration pits to evaluate cementing quality and casing damage for cased wells, these pits simulate many cases such as casing with different specifications, cement with different densities, different bonding conditions, etc., which can be used to test and calibrate a certain kind of acoustic logging tool used in cased wells. As an example, the applications in a calibration pit designed for testing the performance of logging tools in cased wells with high and moderate density cement are introduced, where the steps and methods in calibrating two kinds of acoustic logging tools, including Cement Bonding Log-Variable Density Log (CBL / VDL) and the Segmented Bond Tool(SBT) are illustrated, which are based on the results from high-precision ultrasonic scanning, numerical simulation and data from practical logging tools. The results shows that quality detection can give detailed information about the material and bonding conditions in calibration pits, the performance evaluation of the acoustic logging tools can be realized by combing the predicted and measured logging response.
DOI:10.11684/j.issn.1000-310X.2014.02.009
中文关键词: 刻度井群,固井质量,定量刻度,CBL,SBT
英文关键词: Calibration pits, Cementing quality, Quantitative calibration, CBL, SBT
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
余峰 中海油田服务股份有限公司油田技术研究院 yuf@cosl.com.cn 
张秀梅 中国科学院声学研究所 zhangxiumei@mail.ioa.ac.cn 
刘西恩 中海油田服务股份有限公司油田技术研究院 liuxe@cosl.com.cn 
陈洪海 中海油田服务股份有限公司油田技术研究院 chenhh@cosl.com.cn 
林伟军 中国科学院声学研究所 Linwj@mail.ioa.ac.cn 
毛捷 中国科学院声学研究所 Maojie@mail.ioa.ac.cn 
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