METHODS OF MULTI-CRITERIA SELECTION IN PETROLEUM GEOLOGY UNDER CONDITIONS OF FUZZY INITIAL DATA
Orazbayev B. Urazgaliyeva M. Gabdulova A. Moldasheva Z. Amanbayeva Z.
2023National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2023#2023Issue 3206 - 221 pp.
The article is devoted to the study and to the solution of one of the urgent problems of petroleum geology, related to the choice of optimal parameters for the development and production of oil in conditions of uncertainty due to the lack and fuzziness of the initial information. The problems of solving problems of multi-criteria choice for optimizing the operating modes of oil wells in a fuzzy environment are investigated and approaches to their solution are proposed. Mathematical formulations of the problems of choosing the optimal parameters of the object of study in a fuzzy environment are formalized and obtained based on the modification of the ideal point principle and a given number of priorities of local criteria. Algorithms for solving the set problems based on the involvement of DM in the process of choosing a solution using the level set α, the principles of an ideal point and the lexicographic ordering of criteria are developed and described. The proposed algorithms for solving problems of multi-criteria choice in fuzzy are heuristic and allow you to iteratively improve solutions in the dialogue between DM ― decision support system. At the same time, the decision support system is a software and hardware complex consisting of software-implemented object models and proposed algorithms for solving the tasks. In the proposed algorithm of the formulated multicriteria choice problem based on the use of the modified ideal point (desired solution) principle, the improvement of the criteria values for some fixed values of the ideal points is realized only by reducing the level α, i.e., the reliability of the solution. By adjusting the desired values of local criteria, it is possible to take into account the DMs preferences for different local criteria, which allows changing their weight coefficients. This allows the DM to choose the best solution depending on the current production situation and the market demand for the manufactured products. The proposed method based on the lexicographic principle is applicable when it is impossible to predetermine the desired values of the criteria and, given a number of priorities of local criteria, allows you to consistently improve their values. The obtained results of the study make it possible to more effectively solve the problems of multi-criteria choice when optimizing objects of petroleum geology in a fuzzy environment.
decision maker (DM) , fuzzy information , ideal point principle , lexicographic ordering of criteria , Multicriteria choice
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L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Caspian University of Technology and Engineering named after Sh. Yessenov, Aktau, Kazakhstan
Dosmukhamedov Atyrau University, Atyrau, Kazakhstan
Atyrau Oil and Gas University, Atyrau, Kazakhstan
L.N. Gumilyov Eurasian National University
Caspian University of Technology and Engineering named after Sh. Yessenov
Dosmukhamedov Atyrau University
Atyrau Oil and Gas University
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