- Tytuł:
- Advanced supervision of oil wells based on soft computing techniques
- Autorzy:
-
Camargo, E.
Aguilar, J. - Powiązania:
- https://bibliotekanauki.pl/articles/91828.pdf
- Data publikacji:
- 2014
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
intelligent model of supervision
evolutionary computation
fuzzy system
oil industry
operational diagnosis
petroleum wells
gas lift method
multilayer fuzzy system
genetic algorithm - Opis:
- In this work is presented a hybrid intelligent model of supervision based on Evolutionary Computation and Fuzzy Systems to improve the performance of the Oil Industry, which is used for Operational Diagnosis in petroleum wells based on the gas lift (GL) method. The model is composed by two parts: a Multilayer Fuzzy System to identify the operational scenarios in an oil well and a genetic algorithm to maximize the production of oil and minimize the flow of gas injection, based on the restrictions of the process and the operational cost of production. Additionally, the first layers of the Multilayer Fuzzy System have specific tasks: the detection of operational failures, and the identification of the rate of gas that the well requires for production. In this way, our hybrid intelligent model implements supervision and control tasks.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 3; 215-225
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł