Analysis of the influence of the composition and properties of oils on their quality based on fuzzy clustering
1 - Institute of Oil and Gas of Azerbaijan National Academy of Sciences F. Amirov 9, Baku, Azerbaijan, AZ1000: email@example.com
2 - Caspian State University of Technology and Engineering named after Sh. Yessenov 32 microdistrict, Mangistau region, Aktau, The Republic of Kazakhstan, 130003: firstname.lastname@example.org, email@example.com
3 - Azerbaijan State Oil and Industry University 20, Azadlyg prosp., Baku, Azerbaijan, AZ 1010: firstname.lastname@example.org
1) signs characterizing the composition, this is the content of sulfur, chlorides; 2) properties, this group includes oil density and viscosity, 3) mode of occurrence, i.e. in-situ permeability. Preliminary analysis was completed to determine current status of the issue of tight oil reserves classification and quality evaluation. A review of classification results of tight oil reserves demonstrated the need to break down the entire data set (assemblage) into uniform groups using a series of classification attributes, for which fuzzy cluster analysis is the most appropriate solution. A parameter characterizing oil quality was offered, too. Three clusters have been obtained, each of which characterizes the difficulty of extraction, linguistic rules of conformity of a lot of oil characteristics and total quality factor have been formulated.
Keywords: oil, tight oil reserves, membership function, density, viscosity, composition
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