Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Elisa Portes dos Santos Amorim"'
Autor:
Elisa Portes dos Santos Amorim, Faramarz Samavati, Luis Gustavo Nonato, Emilio Vital Brazil, Mario Costa Sousa
Publikováno v:
PacificVis
Multidimensional projection techniques provide an appealing approach for multivariate data analysis, for their ability to translate high-dimensional data into a low-dimensional representation that preserves neighborhood information. In recent years,
Autor:
Luis Gustavo Nonato, Emilio Vital Brazil, Joel Daniels, Mario Costa Sousa, Elisa Portes dos Santos Amorim, Paulo Joia
Publikováno v:
IEEE VAST
Ever improving computing power and technological advances are greatly augmenting data collection and scientific observation. This has directly contributed to increased data complexity and dimensionality, motivating research of exploration techniques
Publikováno v:
All Days.
Assisted history matching frameworks powered by stochastic population-based sampling algorithms have been a popular choice for real-life reservoir management problems for the past decade. These methods provide an ensemble of history-matched models wh
Autor:
Rodrigo Weber dos Santos, Carolina Ribeiro Xavier, Ricardo Silva Campos, Elisa Portes dos Santos Amorim
Publikováno v:
Computational Science and Its Applications – ICCSA 2012 ISBN: 9783642311246
ICCSA (1)
ICCSA (1)
This work presents a performance comparison between Differential Evolution (DE) and Genetic Algorithms (GA), for the automatic history matching problem of reservoir simulations. The history matching process is an inverse problem that searches a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7104ee26af6444a567d33236da7cd716
https://doi.org/10.1007/978-3-642-31125-3_48
https://doi.org/10.1007/978-3-642-31125-3_48
Autor:
Carolina Ribeiro Xavier, Elisa Portes dos Santos Amorim, Paulo Goldfeld, Flávio Dickstein, Rodrigo Weber dos Santos, Marcelo Lobosco, Ronan Amorim
Publikováno v:
Computational Science and Its Applications – ICCSA 2010 ISBN: 9783642121883
ICCSA (4)
ICCSA (4)
Reservoir simulators are one of the most important tools on reservoir engineering since they allow the prediction of real reservoir’s behavior. However, in order to deal with medium and large scale problems it is necessary to use parallel computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::184ec554774d17be84f8c887e6a5431f
https://doi.org/10.1007/978-3-642-12189-0_35
https://doi.org/10.1007/978-3-642-12189-0_35
Autor:
Elisa Portes dos Santos Amorim, Carolina Ribeiro Xavier, Rodrigo Weber dos Santos, Flávio Dickstein, Paulo Goldfeld
Publikováno v:
Computational Science and Its Applications – ICCSA 2010 ISBN: 9783642121647
ICCSA (2)
ICCSA (2)
History matching is an important inverse problem extensively used to estimate petrophysical properties of an oil reservoir by matching a numerical simulation to the reservoir's history of oil production. In this work, we present a method for the reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be3eaa119335c4f25316561e4b476b8
https://doi.org/10.1007/978-3-642-12165-4_38
https://doi.org/10.1007/978-3-642-12165-4_38
Autor:
S. G. Gómez, R. W. dos Santos, Flávio Dickstein, Elisa Portes dos Santos Amorim, G. T. Pfeiffer, Paulo Goldfeld
Publikováno v:
Scopus-Elsevier
We discuss a TSVD (truncated singular value decomposition) optimization scheme for history matching. We are particularly interested in studying the performance of TSVD under integration of P-wave velocity data. We compare the structure of the main si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fe50d908a035b8015dac33a39cd83a2
http://www.scopus.com/inward/record.url?eid=2-s2.0-79953009786&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79953009786&partnerID=MN8TOARS