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人工井液电阻率测井测量时间确定方法
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  • 英文篇名:Method for determination of measurent time of resistivity logging in artificial well liquid
  • 作者:王海军 ; 马良
  • 英文作者:WANG Haijun;MA Liang;Xi'an Research Institute Co.Ltd., China Coal Technology and Engineering Group Corp.;Department of Geology, Northwest University;State Key Laboratory of Continental Dynamics,Northwest University;
  • 关键词:质量衡算定律 ; 影响因素 ; 最佳测量时间 ; 盐化测井 ; 人工井液电阻率测井
  • 英文关键词:mass conservation law;;influencing factors;;the best measurement time;;salinized logging;;artificial well fluid resistivity logging
  • 中文刊名:MDKT
  • 英文刊名:Coal Geology & Exploration
  • 机构:中煤科工集团西安研究院有限公司;西北大学地质学系;西北大学大陆动力学国家重点实验室;
  • 出版日期:2019-04-25
  • 出版单位:煤田地质与勘探
  • 年:2019
  • 期:v.47;No.272
  • 基金:中煤科工集团西安研究院有限公司科技创新基金项目(2013XAYQN002);; 国家科技重大专项课题(2016ZX05045-002)~~
  • 语种:中文;
  • 页:MDKT201902029
  • 页数:6
  • CN:02
  • ISSN:61-1155/P
  • 分类号:193-198
摘要
测量时间是人工井液电阻率测井的关键参数,长期依靠施工经验来确定,尚缺少该参数的计算模型和计算方法。为解决这一问题,从影响测量时间的地层富水性、渗透率、地层水的视电阻率、示踪剂溶解速度等多种因素入手,应用质量衡算定律建立测井最佳测量时间计算模型,推导出最佳测量时间计算公式,并通过现场钻孔对比实验验证。结果表明,模型建立的最佳测量时间计算公式可以为盐化测井测量时间的选取提供可靠的依据,可为人工井液电阻率测井获取含(隔)水层水文地质参数提供技术支持,更好地指导现场水文测井工作。
        In order to solve the problem of determining the most critical parameter of the logging time of artificial well fluid resistivity logging, and get rid of the method that depends on the construction experience for a long time,guide logging technicians to obtain reliable logging curves, from the factors influencing the measurement time, the mass conservation law was used to build the calculation model for the best measurement time of logging, the computational formula for the best measurement time was derived, which was verified through in-site contrast experiment of boreholes. The results show that the computational formula set up by the model could provide reliable basis for selection of the measurement time of salinized logging and technical support for acquisition of the hydrogeological parameters of aquifers and aquicludes during the artificial well fluid resistivity logging and guide better the in-site hydrological logging.
引文
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