Zobrazeno 1 - 10
of 146
pro vyhledávání: '"R.M. Fonseca"'
Autor:
T.K. Oseguera-Olalde, L. Bonilla-Valencia, R.M. Fonseca, Y. Martínez-Orea, F. Lorea-Hernández, S. Castillo-Argüero
Publikováno v:
Trees, Forests and People, Vol 10, Iss , Pp 100345- (2022)
Natural diversity and composition patterns of ferns depend highly on environmental conditions such as moisture, temperature, and light imposed by altitudinal gradients. Currently, the main factor that causes changes in the diversity patterns of plant
Externí odkaz:
https://doaj.org/article/73cda133fa884ae0a1cad6e0f0386cf7
Publikováno v:
Solar Energy. 231:958-969
Akademický článek
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Akademický článek
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Autor:
R. Nair, Pierrick Casanova, L. Hustoft, Remus Hanea, Reidar Brumer Bratvold, R.M. Fonseca, C. W. Hewson, Olwijn Leeuwenburgh
Publikováno v:
SPE Reservoir Evaluation & Engineering. 22:1131-1143
Summary The goal of reservoir management is to make decisions with the objective of maximizing the value creation from oil or gas production. To achieve this, models that preserve geological realism and have predictive capabilities are being develope
Autor:
Karthik R. Ramaswamy, R.M. Fonseca, Olwijn Leeuwenburgh, MM Muhammad Siraj, P.M.J. Van den Hof
Publikováno v:
Computational Geosciences, 24(3), 1057-1069. Springer
Computational Geosciences, 1-13
Computational Geosciences: modeling, simulation and data analysis, 24(3)
Computational Geosciences, 1-13
Computational Geosciences: modeling, simulation and data analysis, 24(3)
We are concerned with the efficiency of stochastic gradient estimation methods for large-scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate an approximate gradient from a limited number of random input vector s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b28ce9934b50f44de6624ae6031ed203
https://research.tue.nl/nl/publications/0c9306fb-2c02-4466-b15b-43bcf276d22c
https://research.tue.nl/nl/publications/0c9306fb-2c02-4466-b15b-43bcf276d22c
Publikováno v:
Computational Geosciences: modeling, simulation and data analysis. 24(6)
Publikováno v:
Fluid Phase Equilibria. 548:113180
Phase stability analysis is an important thermodynamic calculation in the context of process systems engineering of multiphase units (e.g., separation systems, reactors). It implies the minimization of the Tangent plane distance function (TPDF), whic
Publikováno v:
Day 3 Thu, September 19, 2019.
In this work we discuss the successful application of our previously developed automated scenario reduction approach applied to life-cycle optimization of a real field case. The inherent uncertainty present in the description of reservoir properties
Publikováno v:
Journal of Petroleum Science and Engineering, 172
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 Mul