Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Bjarne Grimstad"'
Publikováno v:
Control Engineering Practice
A virtual flow meter (VFM) enables continuous prediction of flow rates in petroleum production systems. The predicted flow rates may aid the daily control and optimization of a petroleum asset. Gray-box modeling is an approach that combines mechanist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b6dbc055c3c925d08847ab847b9e7a
https://hdl.handle.net/11250/3026425
https://hdl.handle.net/11250/3026425
Publikováno v:
Applied Soft Computing
Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as computationally cheap evaluation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63adb2b180dbb37c4c009fe0b5977413
Publikováno v:
Knowledge-Based Systems
Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase flow rates in petroleum assets. Inferences about flow rates are fundamental to decision support systems that operators extensively rely on. Data-dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9766a4a38b0dfbd30defcdda4cd3786
https://hdl.handle.net/11250/2978485
https://hdl.handle.net/11250/2978485
Publikováno v:
IFAC-Papers
Virtual flow meters, mathematical models predicting production flow rates in petroleum assets, are useful aids in production monitoring and optimization. Mechanistic models based on first-principles are most common, however, data-driven models exploi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fedaa07980d76a2331b7e58606e8b53
http://arxiv.org/abs/2002.02737
http://arxiv.org/abs/2002.02737
Autor:
Bjarne Grimstad, Brage Rugstad Knudsen
Publikováno v:
Journal of Global Optimization
This paper studies mathematical programming formulations for solving optimization problems with piecewise polynomial (PWP) constraints. We elaborate on suitable polynomial bases as a means of efficiently representing PWPs in mathematical programs, co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5683a699734363b7d9705ad565f520f8
https://hdl.handle.net/11250/2652832
https://hdl.handle.net/11250/2652832
Publikováno v:
Computers & Chemical Engineering. 114:245-253
This paper considers the upstream oil and gas domain, or more precisely the daily production optimization problem in which production engineers aim to utilize the production systems as efficiently as possible by for instance maximizing the revenue st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91fd59b15c128a30d146fa6feb09a91c
https://doi.org/10.1016/j.compchemeng.2017.10.009
https://doi.org/10.1016/j.compchemeng.2017.10.009
Autor:
Bjarne Grimstad
Publikováno v:
Optimization Letters. 12:713-725
This paper presents a mixed-integer quadratically constrained programming (MIQCP) formulation for B-spline constraints. The formulation can be used to obtain an exact MIQCP reformulation of any spline-constrained optimization problem problem, provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32436532d8d5d55a8c54df5a765e09ca
https://doi.org/10.1007/s11590-017-1190-1
https://doi.org/10.1007/s11590-017-1190-1
Autor:
Bjarne Grimstad, Henrik Andersson
Publikováno v:
Computers & Chemical Engineering. 131:106580
We consider the embedding of piecewise-linear deep neural networks (ReLU networks) as surrogate models in mixed-integer linear programming (MILP) problems. A MILP formulation of ReLU networks has recently been applied by many authors to probe for var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa87ebd3890714913cd403186473192
https://doi.org/10.1016/j.compchemeng.2019.106580
https://doi.org/10.1016/j.compchemeng.2019.106580
Publikováno v:
Computational Optimization and Applications. 63:737-753
This paper describes a heuristic algorithm for finding good feasible solutions of convex mixed-integer nonlinear programs (MINLPs). The algorithm we propose is a modification of the feasibility pump heuristic, in which we aim at balancing the two goa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8193f606a2d461e3db164c306ffb12b4
https://doi.org/10.1007/s10589-015-9792-y
https://doi.org/10.1007/s10589-015-9792-y
Autor:
Bjarne Grimstad, Anders T. Sandnes
Publikováno v:
Journal of Global Optimization. 65:401-439
This paper discusses the use of splines as constraints in mathematical programming. By combining the mature theory of the B-spline and the widely used branch-and-bound framework a novel spatial branch-and-bound (sBB) method is obtained. The method so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b0efa5879d0a35d6f3121c4a53451a7
https://doi.org/10.1007/s10898-015-0358-4
https://doi.org/10.1007/s10898-015-0358-4