Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eka Suwartadi"'
Publikováno v:
Journal of Process Control. 88:54-62
We present a sensitivity-based nonlinear model predictive control (NMPC) algorithm and demonstrate it on a case study with an economic cost function. In contrast to existing sensitivity-based approaches that make strong assumptions on the underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee56dc53c73508c3b32296fd8cd24cc7
https://doi.org/10.1016/j.jprocont.2020.02.006
https://doi.org/10.1016/j.jprocont.2020.02.006
Publikováno v:
IFAC-PapersOnLine. 51:25-30
This paper considers the optimal operation of an oil and gas production network by formulating it as an economic nonlinear model predictive control (NMPC) problem. Solving the associated nonlinear program (NLP) can be computationally expensive and ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ba53126b9b38adb28931b57b66fa8fc
https://doi.org/10.1016/j.ifacol.2018.06.350
https://doi.org/10.1016/j.ifacol.2018.06.350
Publikováno v:
Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
This letter proposes a computationally efficient algorithm for robust multistage scenario model predictive control (MPC). In multistage scenario MPC, the evolution of uncertainty in the prediction horizon is represented via a scenario tree. The resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0907b4016606e7867b2a1bd7a924a539
http://hdl.handle.net/11250/2592204
http://hdl.handle.net/11250/2592204
Autor:
Eka Suwartadi, Johannes Jäschke
Publikováno v:
IFAC-Papers
We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for example when path constraints are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0dcf0635f6cc5950e92448fff5c9f5f
https://hdl.handle.net/11250/2589985
https://hdl.handle.net/11250/2589985
Publikováno v:
Journal of Petroleum Science and Engineering. 125:23-37
In this paper, we introduce a mean–variance criterion for production optimization of oil reservoirs and suggest the Sharpe ratio as a systematic procedure to optimally trade-off risk and return. We demonstrate by open-loop simulations of a two-phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::866463b2f86cf4506118ff11eb6390a9
https://doi.org/10.1016/j.petrol.2014.11.015
https://doi.org/10.1016/j.petrol.2014.11.015
Publikováno v:
Optimization and Engineering. 16:441-481
Maximizing economical asset of oil reservoirs is a simulation-based optimization involving large-scale simulation models. In this work we propose the use of reduced-order models for solving optimization problems in oil reservoir simulation using a La
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2d5d6134cc0000a75df6287c5e35a9
https://doi.org/10.1007/s11081-014-9268-4
https://doi.org/10.1007/s11081-014-9268-4
Publikováno v:
Computational Geosciences. 17:991-1013
In conventional waterflooding of an oil field, feedback based optimal control technologies may enable higher oil recovery than with a conventional reactive strategy in which producers are closed based on water breakthrough. To compensate for the inhe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70ee85025efd0d9ded03896193da9466
https://doi.org/10.1007/s10596-013-9371-1
https://doi.org/10.1007/s10596-013-9371-1
Publikováno v:
Processes
Processes; Volume 5; Issue 1; Pages: 8
Processes, Vol 5, Iss 1, p 8 (2017)
Processes; Volume 5; Issue 1; Pages: 8
Processes, Vol 5, Iss 1, p 8 (2017)
We present a sensitivity-based predictor-corrector path-following algorithm for fast nonlinear model predictive control (NMPC) and demonstrate it on a large case study with an economic cost function. The path-following method is applied within the ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35770ef3ae27aaf216d7307027f3995f
http://hdl.handle.net/11250/2461921
http://hdl.handle.net/11250/2461921
Publikováno v:
CDC
In the secondary phase of oil recovery, water flooding is the most common way to sweep remaining oil in the reservoirs. The process can be regarded as a nonlinear optimization problem. This paper focuses on how to handle state constraints in an adjoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a8d04dbdf5f62c37138e9d4b310c5d
https://doi.org/10.1109/cdc.2010.5717749
https://doi.org/10.1109/cdc.2010.5717749
Publikováno v:
CDC
This paper presents an efficient way to compute second-order gradients by using the adjoint method for PDE-constrained optimization. The gradient thus obtained will then be used in an optimization algorithm. We propose a conjugate gradient combined w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4cb751ded2013495a6ea9a96f8962a
https://doi.org/10.1109/cdc.2010.5716930
https://doi.org/10.1109/cdc.2010.5716930