Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marcos V.C. Gomes"'
Autor:
Carlos R. Paiva, Marcos V.C. Gomes, Pedro de A. Delou, Leonardo D. Ribeiro, Jacques Niederberger, Letícia Leal Dias Santos, Argimiro Resende Secchi
Publikováno v:
Rio Oil and Gas Expo and Conference. 20:390-391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef69cfee26ffc5023d677899678172d
https://doi.org/10.48072/2525-7579.rog.2020.390
https://doi.org/10.48072/2525-7579.rog.2020.390
The product composition control in a multicomponent distillation column presents several challenges in the industry. The development of a soft sensor enables the monitoring of the product quality using an inferential model and on-line measured proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39baf107522679d88fec50cec5381c83
https://doi.org/10.1016/b978-0-444-64241-7.50105-1
https://doi.org/10.1016/b978-0-444-64241-7.50105-1
Publikováno v:
IFAC Proceedings Volumes. 42:1-8
Abstract Oil & Gas companies continuously try to create and increase business value of their installations (platforms, refineries, etc). Particularly the increasing energy consumption on a worldwide basis and, as a result, the substantial increase in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e22751b3b691be12270ed35c127686d8
https://doi.org/10.3182/20090712-4-tr-2008.00003
https://doi.org/10.3182/20090712-4-tr-2008.00003
Model predictive control (MPC) has become a standard solution in the process industries, but there are still many open issues related to the acceleration of new implementations and the maintenance of good performance along the years. This paper will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31fd7e95f82cf669daabacd630d1625f
https://doi.org/10.1016/s1570-7946(09)70231-7
https://doi.org/10.1016/s1570-7946(09)70231-7
Autor:
José Olegário R. da Silva, Vicente D. Moreira, Mario Cesar Mello Massa de Campos, Marcos F. Lima, Marcos V.C. Gomes
This paper presents the design of a new regulatory control strategy, as part of an advanced control and optmization project, for the natural gas processing plant of PETROBRAS (UPGN-III in Portuguese symbols) in Rio Grande do Norte. This phase of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8e68a78a2e7a5d268109d9eb69ace3
https://doi.org/10.1016/s1570-7946(09)70671-6
https://doi.org/10.1016/s1570-7946(09)70671-6
Autor:
Marcos V.C. Gomes, Carlos R. Porfírio, Fábio S. Liporace, Antônio C. Zanin, Lincoln F. L. Moro, Antonio Carlos Katata
PETROBRAS has defined Real Time Optimization (RTO) as a “High Sustainability” technology for downstream operations, due to its high economic return. Since 2001, RTO tools are being tested within the Company, either using in-house process simulato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a41f6c5efd5e8119249e77c977e7d423
https://doi.org/10.1016/s1570-7946(09)70598-x
https://doi.org/10.1016/s1570-7946(09)70598-x
Kriging models have been used in a number of engineering applications, to approximate rigorous models when those computer codes become too time-consuming to be used directly. In this context, they are called surrogate models or metamodels. The use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ef03b99b6cadaf8102db8aa9f933b84
https://doi.org/10.1016/s1570-7946(08)80065-x
https://doi.org/10.1016/s1570-7946(08)80065-x
In this work, a methodology for the use of metamodels in the steady-state optimization of chemical processes is proposed. The methodology is focused on automatic procedures for use in real-time optimization (RTO). The methodology is tested with a NLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119a86cdea1409360045c9a1d95d460b
https://doi.org/10.1016/s1570-7946(06)80251-8
https://doi.org/10.1016/s1570-7946(06)80251-8