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Wyszukujesz frazę "Stopa, E." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Analysis and selection of CO2 sources for CCS-EOR projects in oil fields clusters in Poland
Autorzy:
Mikołajczak, E.
Kosowski, P.
Stopa, J.
Wartak, J.
Powiązania:
https://bibliotekanauki.pl/articles/298739.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CCS
EOR
CO2
oil field
cluster
emitters selection
Opis:
Article contains a detailed analysis and a preliminary selection of potential CO2 emitters that can supply gas for CCS-EOR projects in oil fields clusters in Poland. The idea of CO2 injection into clusters arises from the fact that oil reservoirs in Poland are relatively small, but very often located close together. Reservoirs grouping significantly increases the potential storage capacity and improves economic indicators. In addition, CCS-EOR projects combine CO2 storage (CCS) with an increase in production from mature oil fields (EOR). The analysis was performed using a database of carbon dioxide emitters in Poland created by the National Centre for Emissions Management. This database contains a list of all registered CO2 producers with annual emissions exceeding 1 Mg. On this basis, potential CO2 sources for previously selected four clusters of oil reservoirs were chosen.
Źródło:
AGH Drilling, Oil, Gas; 2018, 35, 1; 295-307
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis and selection of CO2 sources for CCS-EOR projects in oil fields clusters in Poland
Autorzy:
Mikołajczak, E.
Kosowski, P.
Stopa, J.
Wartak, J.
Powiązania:
https://bibliotekanauki.pl/articles/298934.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CCS
EOR
CO2
oil field
cluster
emitters selection
Opis:
Article contains detailed analysis and preliminary selection of potential CO2 emitters, who could be suppliers of gas for CCS-EOR projects in oil fields clusters in Poland. The idea of CO2 injection into clusters arises from the fact that oil reservoirs in Poland are relatively small, but very often located close together. Grouping reservoirs allows the potential storage capacity to increase significantly and improves economic indicators. In addition, CCS-EOR projects combine CO2 storage (CCS) with an increase in production from mature oil fields (EOR). The analysis was performed using a database of carbon dioxide emitters in Poland, which was created by the National Centre for Emissions Management. This database contains a list of all registered producers of CO2 with annual emissions exceeding 1 Mg. On this basis, potential sources of CO2 for previously selected four clusters of oil reservoirs were chosen.
Źródło:
AGH Drilling, Oil, Gas; 2017, 34, 4; 831-842
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent control of CO2-EOR process
Autorzy:
Mikołajczak, E.
Stopa, J.
Wojnarowski, P.
Janiga, D.
Czarnota, R.
Powiązania:
https://bibliotekanauki.pl/articles/298639.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CO2-EOR
production optimization
intelligent control
artificial intelligence
Opis:
One of the enhanced oil recovery methods, which enables to recover an additional 15–20% of oil resources is the CO2-EOR method based on carbon dioxide injection into partially depleted reservoirs. Determination of the optimal process control facilitates effective use of natural resources. The idea of this paper is to develop an algorithm that optimizes the CO2-EOR process. This algorithm is based on the combination of artificial intelligence, control theory and computer simulation of hydrocarbon reservoirs. The effect of the proposed solution is the CO2-EOR process control, which is optimal in the case of the adopted objective function expressing the economic value of the project. The obtained results suggest that the use of artificial intelligence methods in the hydrocarbon production allows to improve the process efficiency by an additional 31% compared to the project carried out with the use of engineering knowledge.
Źródło:
AGH Drilling, Oil, Gas; 2018, 35, 1; 235-243
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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