Abstract
Abstract. The article is devoted to the results of information analysis and the establishment of the relationship between factors affecting the reliability of oilfield equipment using a fuzzy clustering algorithm. One of the main tasks of oilfield practice is to assess the influence of various factors on the efficiency of field operation and make the right technological decisions. The reliability of estimates and decisions is determined by how reliably the input and output variables and their values are selected. Situations often arise when, given the same data, fundamentally different results are obtained. To find specific expressions of these dependencies and the parameters characterizing them, in particular, methods of statistical data processing are used. As a result of the analysis of the causes of failures of deep-well pumps, factors influencing the efficiency of the pump in the fields under consideration were identified and subjected to fuzzy cluster analysis, which allows us to gain an understanding of the influence of selected factors on efficiency indicators under conditions of uncertainty. A relationship was obtained between the input and output variables, which can be expressed by a fuzzy expression of the IF-THEN rule. Keywords: reliability, liquid flow rate, turnaround time, fuzzy set theory, fuzzy cluster analysis.
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