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pro vyhledávání: '"E.G.D. Barros"'
Akademický článek
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Publikováno v:
Solar Energy. 231:958-969
Publikováno v:
Optimization and Engineering, 21(1), 25-48. Springer
Optimization and Engineering
Optimization and Engineering
The exploitation of subsurface hydrocarbon reservoirs is achieved through the control of production and injection wells (i.e., by prescribing time-varying pressures and flow rates) to create conditions that make the hydrocarbons trapped in the pores
Publikováno v:
EAGE GeoTech 2022 Sixth EAGE Workshop on CO2 Geological Storage.
Publikováno v:
ECMOR 2022.
Autor:
V. van Pul-Verboom, S.H.J. Peeters, S.P. Szklarz, J.D.A.M. van Wees, E.G.D. Barros, N. Khoshnevis Gargar
Publikováno v:
2nd Geoscience & Engineering in Energy Transition Conference.
Summary The success and growth of geothermal development activities in the Netherlands in the coming years strongly depend on the capability to increase the cost-effectiveness of heat recovery from subsurface reservoirs. Field development optimizatio
Akademický článek
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Publikováno v:
International Journal of Greenhouse Gas Control. 110:103403
We propose a quantitative model-based workflow for conformance verification of CO2 storage projects. Bayesian inference is applied to update an ensemble of simulation models that capture prior uncertainty based on mismatches with measured data. Confo
Publikováno v:
5th CO2 Geological Storage Workshop, 5th CO2 Geological Storage Workshop, 21 November 2018 through 23 November 2018
To manage risks in CO2 storage operations, monitoring systems need to be designed such that the data can inform the operator whether the storage site will continue to behave as expected or not. In order to compare the benefits of different monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab2b60e49fa70a1b57dccce7bb40b572
http://resolver.tudelft.nl/uuid:4e4e78e6-9b13-4668-a4c3-27826bc68464
http://resolver.tudelft.nl/uuid:4e4e78e6-9b13-4668-a4c3-27826bc68464
Publikováno v:
IFAC-PapersOnLine. 48:229-235
This paper describes a recently introduced methodology to perform value of information (VOI) analysis within a closed-loop reservoir management (CLRM) framework, and adds a first step to improve the computational efficiency of the procedure. CLRM is