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).
Original language | English |
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Title of host publication | Proceedings of the 15th European Conference on the Mathematics of Oil Recovery |
Subtitle of host publication | Amsterdam, Netherlands |
Publisher | EAGE |
Pages | 1-17 |
Number of pages | 17 |
ISBN (Electronic) | 978-94-6282-193-4 |
DOIs | |
Publication status | Published - 2016 |
Event | ECMOR XV: 15th European Conference on the Mathematics of Oil Recovery - Amsterdam, Netherlands Duration: 29 Aug 2016 → 1 Sep 2016 https://www.eage.org/event/?eventid=1416 |
Conference
Conference | ECMOR XV |
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Abbreviated title | ECMOR XV |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 29/08/16 → 1/09/16 |
Internet address |