| Autor: |
M. K. Karazhanova, G. M. Efendiyev, R. H. Kuliyev, L. B. Zhetekova, D. A. Akhmetov, I. A. Piriverdiyev |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030680039 |
| DOI: |
10.1007/978-3-030-68004-6_27 |
| Popis: |
The problem of decision-making in oilfield practice has been in the focus of specialists' attention for many years. At the same time, one has to make decisions when applying various technologies under conditions of uncertainty. The use of traditional methods does not allow fully studying the conditions for making decisions and ensure the effectiveness of the methods used. When using hard-to-recover oil recovery methods, the formulation of the task is to achieve maximum production with a minimum volume of injected steam (or gas). It is possible to achieve success in such a situation using the basic provisions of the theory of fuzzy sets. Based on this, an attempt is made in this paper to show the possibility of making decisions using approaches known from the theory of fuzzy sets on the example of two methods of oil extraction. The manuscript provides a brief overview of one of the methods of oil production, which showed the difficulties arising in its application and allowed to justify the formulation of the problem. The results of the analysis of information on the implementation of oil production methods and decision-making using an approach based on the provisions of the theory of fuzzy sets are presented. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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