METHODS OF MULTI-CRITERIA SELECTION IN PETROLEUM GEOLOGY UNDER CONDITIONS OF FUZZY INITIAL DATA

. 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-207