公开(公告)号：US20060155474A1

公开(公告)日：2006-07-13

申请号：US11132545

申请日：2005-05-19

申请人： Lalitha Venkataramanan ,  Go Fujisawa ,  Bhavani Raghuraman ,  Oliver Mullins ,  Andrew Carnegie ,  Ricardo Vasques ,  Chengli Dong ,  Kai Hsu ,  Michael O'Keefe ,  Henri-Pierre Valero

发明人： Lalitha Venkataramanan ,  Go Fujisawa ,  Bhavani Raghuraman ,  Oliver Mullins ,  Andrew Carnegie ,  Ricardo Vasques ,  Chengli Dong ,  Kai Hsu ,  Michael O'Keefe ,  Henri-Pierre Valero

IPC分类号： G06F19/00

CPC分类号： E21B49/00

摘要： Methods and systems are provided for downhole analysis of formation fluids by deriving fluid properties and associated uncertainty in the predicted fluid properties based on downhole data, and generating answer products of interest based on differences in the fluid properties. Measured data are used to compute levels of contamination in downhole fluids using 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, in real-time, robust answer products relating to the formation fluids and reservoirs thereof. Systematic errors in measured data are reduced or eliminated by preferred sampling procedures.

摘要翻译： 提供了方法和系统，用于通过基于井下数据导出预测流体特性的流体性质和相关不确定性，并基于流体性质的差异产生感兴趣的产品，从而对地层流体进行井下分析。 测量数据用于使用油基泥浆污染监测（OCM）算法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，实时地产生与地层流体及其储层相关的鲁棒答案产品。 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。