Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Farough Motamed Nasab"'
Autor:
Farough Motamed Nasab, Zukui Li
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3883 (2023)
Two methods for multistage adaptive robust binary optimization are investigated in this work. These methods referred to as binary decision rule and finite adaptability inherently share similarities in dividing the uncertainty set into subsets. In the
Externí odkaz:
https://doaj.org/article/66d26f1269c148c68f4f7f8441ca1ae0
Publikováno v:
Optimization and Engineering. 20:1193-1226
Partial upgrading technologies have received a great amount of attention as a promising and economic solution for Canadian oil sands bitumen processing. In this paper, the optimal planning of capital and expansion capacities for partial upgrading of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37663d0e8f7a17ab979b791db3e35fa0
https://doi.org/10.1007/s11081-019-09426-5
https://doi.org/10.1007/s11081-019-09426-5
Multistage adaptive stochastic mixed integer optimization under endogenous and exogenous uncertainty
Autor:
Farough Motamed Nasab, Zukui Li
Publikováno v:
AIChE Journal. 67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdba169b314fd3f63d072a2bbd6c2bb6
https://doi.org/10.1002/aic.17333
https://doi.org/10.1002/aic.17333
Publikováno v:
Industrial & Engineering Chemistry Research. 57:9513-9526
During the lifecycle of an oilfield project, well development is a critical phase due to intensive investments required for capital cost. Determining whether it is economical to develop an oilfield or not and finding the best plan for field developme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc51d5221d895a3191a5e08f99cea363
https://doi.org/10.1021/acs.iecr.8b00742
https://doi.org/10.1021/acs.iecr.8b00742
Publikováno v:
Computers & Chemical Engineering. 111:225-240
Expansion development of upgrading plants is an important decision to make for the oil sands industry. In this paper, we propose a multistage stochastic expansion development method to tackle uncertain synthetic crude oil (SCO) and CO2 tax prices. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f0805a3a952c63629f4d62a434fc8d0
https://doi.org/10.1016/j.compchemeng.2018.01.007
https://doi.org/10.1016/j.compchemeng.2018.01.007
Autor:
Zukui Li, Farough Motamed Nasab
Publikováno v:
AIChE Journal. 65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eae5548eb0074fd69f83db5880f4dbb
https://doi.org/10.1002/aic.16764
https://doi.org/10.1002/aic.16764
Autor:
Zukui Li, Farough Motamed Nasab
Publikováno v:
Computers & Chemical Engineering. 149:107286
This work studies the multistage adaptive stochastic mixed integer optimization problem, where the aim is to find adaptive continuous and integer decision policies that optimize the expected objective. While searching for the exact optimal policy is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8cd141eaca4e21b481ba45f1facda54
https://doi.org/10.1016/j.compchemeng.2021.107286
https://doi.org/10.1016/j.compchemeng.2021.107286
In this paper, a stochastic optimization framework for planning the development of SAGD drainage areas under uncertainty is presented. A multistage stochastic programming based optimization model is developed to arrange the multiperiod development pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5802c6349621a4c99c49a270713d7f02
https://doi.org/10.1016/b978-0-444-64241-7.50222-6
https://doi.org/10.1016/b978-0-444-64241-7.50222-6
