- 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