Assessment of the influence of composition, properties and conditions of occurrence on oil quality based on fuzzy cluster analysis

Galib M. Efendiyev, Gulnaz Zh. Moldabayeva, O. G. Kirisenko

2023

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DOI 10.5510/ogp20230400920
Data confidence 85 high
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Abstract

The article is devoted to the analysis and assessment of the influence of parameters characterizing the composition, properties and conditions of oil occurrence on its quality. Using the principles of the theory of fuzzy sets, modeling of the dependences of the noted characteristics of oil on the complexity of its production was carried out. Data on the properties, composition and conditions of oil occurrence in the fields of Azerbaijan and Kazakhstan were collected. By implementing the fuzzy cluster analysis algorithm, fuzzy rules are formulated based on the «if..., then...» principle. The classification features are the composition, density and viscosity of oil, the permeability of the reservoir conditions. A brief analysis of existing works on the classification and assessment of the quality of oil from fields with hard-to-recover reserves showed the need to divide the total sample into homogeneous groups (clusters) according to the totality of the noted classification features characterizing the composition, properties and conditions of oil occurrences. A generalized indicator characterizing the quality of oil is proposed. Keywords: oil field; classification; fuzzy cluster analysis; hard-to-recover oils; sulfur concentration; density; viscosity; permeability.