Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Marina Leivas Simão"'
Autor:
Marina Leivas Simão, Marcos Queija de Siqueira, Thiago Ângelo Gonçalves de Lacerda, Paulo Maurício Videiro, Luis Volnei Sudati Sagrilo
Publikováno v:
Volume 2: Structures, Safety, and Reliability.
It is known that, for a given short-term environmental condition, mooring lines fatigue damage assessment can be made from the tension cycles counting using a sufficiently long tension time series. This can be obtained through coupled floater-lines t
Autor:
Pedro de Amorim Seabra, Mauro Costa de Oliveira, Marina Leivas Simão, Paulo Mauricio Videiro, Luis Volnei Sudati Sagrilo
Publikováno v:
Volume 2: Structures, Safety, and Reliability.
Fatigue damage assessment of mooring lines components is one of the main issues in the design and life extension monitoring of deepwater floating production units mooring systems. Floating units operating at several ocean regions, as in the Brazilian
Autor:
Paulo Mauricio Videiro, Marina Leivas Simão, Plínio Bueno Andrade Silva, Luiz Paulo de Freitas Assad, Luis Volnei Sudati Sagrilo
Publikováno v:
Marine Systems & Ocean Technology. 15:151-159
Probability-based design of offshore structures usually require a joint distribution of significant wave heights and zero-up-crossing periods, or spectral peak periods, in order to describe the long-term wave scenario, and thus predict long-term extr
Autor:
Ricardo S. Gomes, Marina Leivas Simão, Paulo Mauricio Videiro, Luis Volnei Sudati Sagrilo, Filipe A. Rezende
Publikováno v:
Volume 2: Structures, Safety, and Reliability.
Mooring systems are responsible to limit the offsets of oil and gas floating production systems due to environmental actions. Therefore, they are extremely important for the overall safety of the floating unit and of the risers system connected to it
Publikováno v:
Ocean Engineering. 255:111470
Autor:
Gabriel M. Gonzalez, Paulo Mauricio Videiro, Luis Volnei Sudati Sagrilo, Marina Leivas Simão, Marcos Queija de Siqueira
Publikováno v:
Volume 2A: Structures, Safety, and Reliability.
Nowadays, artificial intelligence algorithms are regaining visibility mainly due to the increase in computational capability. Among those, artificial neural networks (ANN) are very useful for the regression of highly nonlinear phenomena, such as the
Autor:
Mauro Costa de Oliveira, Marina Leivas Simão, Luis Volnei Sudati Sagrilo, Paulo Mauricio Videiro
Publikováno v:
Volume 2A: Structures, Safety, and Reliability.
Escalating demand in the oil and gas industry has led offshore structures to be installed in ever deeper waters and under severe environmental conditions. As the mooring system is a crucial element in floating offshore structures, a reliable estimati
Autor:
Luis Volnei Sudati Sagrilo, Marina Leivas Simão, Paulo Mauricio Videiro, Mauro Costa de Oliveira, Arvid Naess
Publikováno v:
Journal of Offshore Mechanics and Arctic Engineering. 143
It is known that the mooring system response of floating production units subjected to environmental loads is nonlinear. Even though wave elevations can be assumed as Gaussian processes for short-term periods, corresponding line tension responses gen
Autor:
Miguel Alfonso Calderón Ibarra, Marina Leivas Simão, Paulo Mauricio Videiro, Luís Volnei Sudati Sagrilo
Publikováno v:
Applied Ocean Research. 118:102997
Autor:
Claudio Marcio Silva Dantas, Joseir Gandra Percy, Luis Volnei Sudati Sagrilo, Felipe Lima De Oliveira, Augusto Ruschel, Fernando Jorge Mendes de Sousa, Marina Leivas Simão
Publikováno v:
Journal of Petroleum Science and Engineering. 206:108989
In recent years, the observation of dynamic motions in wellhead structures during drilling operations turned wellhead fatigue into a great concern for the oil industry. As stated by DNV in its Recommended Practice E104 (DNVGL, 2018), the fatigue dama