Controlled time series forecasting for oil reservoir management.

Autor: de Souza Jr., Alexandre, Tueros, Juan A. R., Machado, Mateus G., Santos, Rafael F. V. C., Willmersdorf, Ramiro B., Afonso, Silvana M. B., Oliveira, Leonardo C., Horowitz, Bernardo

Publikováno v: Neural Computing & Applications; Dec2024, Vol. 36 Issue 36, p22805-22827, 23p

Non-distance-based localization techniques for ensemble-based waterflooding optimization

Autor: Tueros, Juan Alberto Rojas, Horowitz, Bernardo, Willmersdorf, Ramiro Brito, de Oliveira, Diego Felipe Barbosa

Publikováno v: In Journal of Petroleum Science and Engineering November 2018 170:440-452

Ensemble-based method with combined fractional flow model for waterflooding optimization

Autor: Santos Oliveira Dilayne, Horowitz Bernardo, Rojas Tueros Juan Alberto

Publikováno v: Oil & Gas Science and Technology, Vol 76, p 7 (2021)

Proxy models are widely used to estimate parameters such as interwell connectivity in the development and management of petroleum fields due to their low computational cost and not require prior knowledge of reservoir properties. In this work, we pro

Externí odkaz: https://doaj.org/article/b9ce9f6a2a284113885be13b14a5fe8d

Considerations on the design of indirect supports in reinforced concrete beams

Autor: Celestino,Mateus Araújo de Souza, Horowitz,Bernardo

Publikováno v: Revista IBRACON de Estruturas e Materiais v.16 n.1 2023
Revista IBRACON de Estruturas e Materiais
Instituto Brasileiro do Concreto (IBRACON)
instacron:IBRACON

Indirect supports consist of beams being supported by others beams, demanding the presence of a hanger reinforcement, required by ABNT NBR 6118, that will act as a tie hanging the applied load from the supported beam to the upper chord of the support

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::71298ad9a16897baa621d385fd1133b1
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952023000100206

Ensemble-based method with combined fractional flow model for waterflooding optimization.

Autor: Oliveira, Dilayne Santos¹, Horowitz, Bernardo¹, Tueros, Juan Alberto Rojas¹ albert_rojast@hotmail.com

Publikováno v: Oil & Gas Science & Technology (OGST). 2021, Vol. 76, p1-16. 16p.