Constraining Response Surface with Secondary Information for Reservoir Flow Performance Assessment

Emmanuel Fetel. ( 2005 )
in: 25th gOcad Meeting, ASGA

Abstract

This paper proposes a new response surface building method for accurately estimating reservoir flow performance. Usually, due to time consuming calculation, the allowed number of flow simulations does not provide enough information for capturing the curvature and non-linearities in the flow response surface. The method combines classical flow simulation results with secondary information provided by fast flow simulation such as the time-of-flight connectivity. The proposed response surface building algorithms are the discrete smooth interpolation and the kriging with external drift. Moreover an experiment design based on latin hypercube sampling is provided as a useful tool for the estimation of the secondary information. A modified version of the SPE 10th Benchmark Model has been used to investigate the accuracy of the generated response surface. And Monte Carlo simulation were carried out to measure the impact of the method on uncertainty assessment. Results show that the proposed method (1) works accurately and efficiently in modeling the repones non-linearities and (2) provides a satisfactory P10, P50 and P90 values for uncertainty assessment.

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    BibTeX Reference

    @inproceedings{FetelRM2005,
     abstract = { This paper proposes a new response surface building method for accurately estimating reservoir flow performance. Usually, due to time consuming calculation, the allowed number of flow simulations does not provide enough information for capturing the curvature and non-linearities in the flow response surface. The method combines classical flow simulation results with secondary information provided by fast flow simulation such as the time-of-flight connectivity. The proposed response surface building algorithms are the discrete smooth interpolation and the kriging with external drift. Moreover an experiment design based on latin hypercube sampling is provided as a useful tool for the estimation of the secondary information. A modified version of the SPE 10th Benchmark Model has been used to investigate the accuracy of the generated response surface. And Monte Carlo simulation were carried out to measure the impact of the method on uncertainty assessment. Results show that the proposed method (1) works accurately and efficiently in modeling the repones non-linearities and (2) provides a satisfactory P10, P50 and P90 values for uncertainty assessment. },
     author = { Fetel, Emmanuel },
     booktitle = { 25th gOcad Meeting },
     month = { "june" },
     publisher = { ASGA },
     title = { Constraining Response Surface with Secondary Information for Reservoir Flow Performance Assessment },
     year = { 2005 }
    }