Searched for: author:"Jesus de Moraes, R."
(1 - 5 of 5)
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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), Hajibeygi, H. (author), Jansen, J.D. (author)
In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g. seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like down/upscaling of the data and/or the simulation model can be used, but with potential loss of...
conference paper 2018
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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
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Jesus de Moraes, R. (author), Rodrigues, J. R.P. (author), Hajibeygi, H. (author), Jansen, J.D. (author)
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is developed. The method constructs multiscale primal and dual coarse grids, imposed on the given fine-scale computational grid. Local multiscale basis functions are computed on (dual-) coarse blocks, constructing an accurate map (prolongation operator)...
conference paper 2017
document
Jesus de Moraes, R. (author), Rodrigues, J.R.P. (author), Hajibeygi, H. (author), Jansen, J.D. (author)
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...
conference paper 2016
Searched for: author:"Jesus de Moraes, R."
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