Proxy-Enabled Stochastic Interpretation of Downhole Fluid Sampling Under Immiscible Flow Conditions

摘要

The increasing complexity of downhole fluid sampling and the need for optimizing the sampling process call for a model-based approach in planning and interpretation applications. Efficient planning of fluid sampling requires quantitative evaluation of sampling hardware performance over a wide range of deployment conditions. For real-time contamination monitoring, recent work demonstrates that a model-based approach improves contamination estimates, especially in difficult sampling environments and for complex tool geometries (e.g., focused probes). Finally, both real-time and post-job interpretation of formation properties often require a model-based approach, in which parameters of a reservoir model are inverted using downhole fluid analysis (DFA) measurements.