Multiscale Gradient Computation for Subsurface Flow Models

Conference Paper (2016)
Author(s)

R. J. de Moraes (TU Delft - Reservoir Engineering)

J.R.P. Rodrigues (Petrobras)

H. Hajibeygi (TU Delft - Reservoir Engineering)

Jan Dirk Jansen (TU Delft - Civil Engineering & Geosciences, TU Delft - Geoscience and Engineering)

Research Group
Reservoir Engineering
Copyright
© 2016 R. Jesus de Moraes, J.R.P. Rodrigues, H. Hajibeygi, J.D. Jansen
DOI related publication
https://doi.org/10.3997/2214-4609.201601891
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 R. Jesus de Moraes, J.R.P. Rodrigues, H. Hajibeygi, J.D. Jansen
Research Group
Reservoir Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1-17
ISBN (electronic)
978-94-6282-193-4
Reuse Rights

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Abstract

We present an efficient multiscale (MS) gradient computation that is suitable for reservoir management studies involving optimization techniques for, e.g., computer-assisted history matching or life-cycle production optimization. The general, algebraic framework allows for the calculation of gradients using both the Direct and Adjoint derivative methods. The framework also allows for the utilization of any MS formulation in the forward reservoir simulation that can be algebraically expressed in terms of a restriction and a prolongation operator. In the implementation, extra partial derivative information required by the gradient methods is computed via automatic differentiation. Numerical experiments demonstrate the accuracy of the method compared against those based on fine-scale simulation (industry standard).

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