浅析Archie参数m和n值的实验室测量误差  

Analysis of Lab Measuring Errors for Archie Parameters m and n Values

作　　者：田中元[1] 丁荣辉[2] 

机构地区：[1]中国石油勘探开发研究院,北京100083 [2]河南油田测井公司,河南南阳473132

出　　处：《测井技术》2004年第3期265-268,共4页Well Logging Technology

摘　　要：提出对《测井技术》2 0 0 3年第 4期发表的“岩电实验过程中误差产生的原因及校正方法研究”一文的不同观点。Archie参数孔隙度指数 (m)和饱和度指数 (n)值的实验结果直接影响到含水饱和度的计算结果。分析结果表明 ,m和n值的测量误差主要来源于实验条件和统计模型 ;m值测量误差对计算的含水饱和度影响比n值测量误差的影响大。在实验室进行岩心实验时 ,应特别注意实验条件和统计模型 2个因素 ,以尽量减小实验误差。Proposed are several different opinions about the article “Causes leading to Errors in Core Electricity Experiments and Their Corrections” published in the 4th Issue, WLT,2003.Archie parameters such as porosity exponent (m) and saturation exponent (n) are the key parameters in the relation between resistivity and oil-bearing property, which are obtained from core experiments in laboratory. Wrong results in S w calculation may be resulted from larger measuring errors of m and n m values. The analysis of core experimenting errors shows that the main errors are from experimental conditions and different statistical models; and that the influence of the error of m value on S w calculation is severer than that of the error of n value. Therefore, the main factors causing errors such as experiment conditions and statistic models must be considered in m and n experiment measurements so as to reduce the measuring errors.

关 键 词：孔隙度指数 饱和度指数 岩电实验 实验条件 统计模型 测量误差 

分 类 号：P585.2[天文地球—岩石学] TE135[天文地球—地质学]