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    • 5. 发明授权
    • Identifying formation, matrix and fluid related characteristics from subsurface data using factor analysis
    • 使用因子分析识别地下数据的形成,基质和流体相关特征
    • US09223055B2
    • 2015-12-29
    • US13658502
    • 2012-10-23
    • SCHLUMBERGER TECHNOLOGY CORPORATION
    • Vikas JainChanh Cao MinhDenis HeliotNicholas HeatonKais Gzara
    • G01V3/14G01V5/06G01V11/00G01V3/32
    • G01V11/00G01V3/32
    • A method of interpreting petrophysical measurement data include arranging measurements of at least one physical property of formations into a matrix representing the measurements and selecting a range of number of unobserved factors or latent variables for factor analysis. Factor analysis is performed on the measurement matrix and comprises performing factorization of measurements matrix into a number of factorsand performing rotation of the factorization results. Whether the factor loadings for each factor have achieved a “simple structure” is determined and either each of the selected number of factors is associated with a physical parameter of the formations, or one is added to the number of factors and factor analysis and rotation are repeated until factor loadings of all factors have achieved “simple structure” such that the each of the number of factors is associated with a physical property of the formations.
    • 解释岩石物理测量数据的方法,包括安排地层中的至少一个物理性质的测量结果为矩阵表示所述测量和选择的范围内未观察到的因素或进行因子分析隐变量的数量。 在测量矩阵上执行因子分析,并且包括将测量矩阵分解成多个因素并执行因式分解结果的旋转。 是否为每个因素的因素负荷量已经实现了“简单结构”被确定和任一各要素的选定数目的与所述地层的物理参数相关联,或者一个被添加到的因素的数量和因子分析和旋转 重复直到所有因素的因子加载已经达到“简单结构”,使得每个因素的数量与地层的物理性质相关联。