Searched for: author%3A%22Jesus+de+Moraes%2C+R.%22
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de Zeeuw, W. (author), Jesus de Moraes, R. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We propose a novel adaptive, adjoint-based, iterative multiscale finite volume (i-MSFV) method. The method aims to reduce the computational cost of the smoothing stage of the original i-MSFV method by selectively choosing fine-scale sub-domains (or sub-set of primary variables) to solve for. The selection of fine-scale primary variables is...
conference paper 2019
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Jesus de Moraes, R. (author), Fonseca, Rahul-Mark (author), Helici, Mircea A. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...
journal article 2019
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Jesus de Moraes, R. (author), Fonseca, R.M. (author), Helici, M. (author), Heemink, A.W. (author), Jansen, J.D. (author)
In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. ...
conference paper 2017