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核磁共振测井双等待时间观测方式及分析方法
引用本文:运华云,谭茂金.核磁共振测井双等待时间观测方式及分析方法[J].油气地质与采收率,2006,13(4):96-98.
作者姓名:运华云  谭茂金
作者单位:1. 中国石化股份胜利油田分公司,山东,东营,257001
2. 中国石化胜利石油管理局,测井公司,山东,东营,257096
摘    要:由于储层中油、气和水具有不同的核磁共振弛豫响应特征,为此,核磁共振测井设计了双等待时间观测方式以检测储层中的烃,并能够实现储层流体的定性和定量评价。讨论了核磁共振测井双等待时间观测方式的流体的弛豫机理和资料采集过程,给出了参数设计的基本方法。详细讨论了核磁共振双等待时间测井数据的定性分析方法,即T2域差谱分析方法、指数参数法和时间域分析法,构造了一个指示参数,建立了相应的评价标准;推导了时间域分析定量计算的公式,并给出了一些关键参数的选择方法。实际应用证实,对双等待时间观测数据的定性和定量计算方法对于油气识别与评价是有效的。

关 键 词:核磁共振测井  双等待时间观测方式  T2域差谱分析  时间域分析
文章编号:1009-9603(2006)04-0096-03
收稿时间:2006-04-12
修稿时间:2006-06-29

Observation way and analytical approach of dual waiting time by nuclear magnetic resonance logging
Yun Huayun,Tan Maojin.Observation way and analytical approach of dual waiting time by nuclear magnetic resonance logging[J].Petroleum Geology and Recovery Efficiency,2006,13(4):96-98.
Authors:Yun Huayun  Tan Maojin
Abstract:Nuclear Magnetic Resonance(NMR) relaxation response characteristics of oil, gas and water in reservoirs are different from one another. Observation way of dual waiting time is designed in NMR to monitor the hydrocarbon in the reservoirs and to realize qualitative and quantitative evaluation on resevoir fluids. The relaxation principle and data acquisition process of the observation way of NMR dual waiting time are firstly discussed and the basic method of parameter design is given. Qualitative analytical approach of logging data of NMR dual waiting time is discussed in detail including T2 domain differential spectrum method, index (parameter) method and time domain method. Indicating parameters are constructed and the corresponding evaluation standard is established. Formula of quantitative calculation of time domain a-nalysis are derived ,and selection method for some key parameters is introduced. Actual applications proved that the qualitative and quantitative methods for observation data of dual waiting time are effective for oil-gas recognization and evaluation.
Keywords:nuclear magnetic resonance (NMR) log  observation way of dual waiting time  T2 domain differential spectrum analysis  time domain analysis
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