1887

Abstract

Summary

In the presented work we used a new approach for facies simulation, the Adaptive Plurigaussian Simulation method, in a “big-loop” history matching framework in order to generate an ensemble of facies realizations using and obeying the hard data coming from the well logs (the probability cubes) for a real field case in the North Sea. Using the IES we have conditioned/updated the prior ensemble using the production data and RFTs over a certain area of interest. The study shows successfully conditioning the facies realizations on production data, while honouring the hard data from well observations and the geological concept in the prior facies ensemble. The final ensemble of updated parameters was run in prediction mode to check the quality of our history matched facies models. The posterior ensemble of production profiles has a reduced uncertainty spread and has a mean closer to the observed value for most of the production history.

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/content/papers/10.3997/2214-4609.201412674
2015-06-01
2020-04-06
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References

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