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    • 5. 发明授权
    • System and methods of deriving differential fluid properties of downhole fluids
    • 导出井下流体的差分流体性质的系统和方法
    • US07398159B2
    • 2008-07-08
    • US11207043
    • 2005-08-18
    • Lalitha VenkataramananOliver C. MullinsRicardo Reves Vasques
    • Lalitha VenkataramananOliver C. MullinsRicardo Reves Vasques
    • G01V9/00
    • E21B49/005E21B49/00
    • Methods and systems are provided for downhole analysis of formation fluids by deriving differential fluid properties and associated uncertainty in the predicted fluid properties based on downhole data less sensitive to systematic errors in measurements, and generating answer products of interest based on the differences in the fluid properties. Measured data are used to compute levels of contamination in downhole fluids using, for example, an oil-base mud contamination monitoring (OCM) algorithm. Fluid properties are predicted for the fluids and uncertainties in predicted fluid properties are derived. A statistical framework is provided for comparing the fluids to generate robust, real-time answer products relating to the formation fluids and reservoirs thereof. Systematic errors in measured data are reduced or eliminated by preferred sampling procedures.
    • 提供了方法和系统,用于通过基于对测量中的系统误差不太敏感的井下数据,通过基于流体性质的差异来产生感兴趣的答案产品,通过导出差分流体性质和预测流体特性中的相关不确定性来进行井下分析 。 测量数据用于使用例如油基泥浆污染监测(OCM)算法来计算井下流体中的污染水平。 预测流体的流体性质,并推导出预测的流体性质的不确定性。 提供了一种统计框架,用于比较流体以产生与其地层流体及其储层相关的鲁棒的实时回答产品。 通过优选的采样程序减少或消除了测量数据中的系统误差。