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Characteristic features of the hydrocarbon composition of oils from the Nenets Autonomous Okrug

Authors: Natalya A. Krasnoyarova; Olga V. Serebrennikova; Natalya A. Volkova;

Characteristic features of the hydrocarbon composition of oils from the Nenets Autonomous Okrug

Abstract

Data on the characteristic features of composition of oils sampled from 4 oil fields located on the Barents Sea coast of the Nenets Autonomous Okrug are presented. The predominance of acyclic compounds is established in composition of hydrocarbons (HC) of oils sampled at Perevoznoye, Toraveyskoye, and Myadseyskoye fields. The share of the acyclic HC in the oil of the Toboyskoye field is significantly lower. The predominance of biaromatic compounds over triaromatic ones is characteristic of all oils under study, while dimethyl substituted structures prevail among biaromatic compounds. The content of bicyclic terpanes which are characterized by the presence of nordrimans, drimans, and homodrimans is maximal in the oil from the Toboyskoye field, where cyclohexanes predominate over alkanes. The presence of dibenzofurans is registered only in the oil from the Toraveyskoye field, while dibenzothiophenes are present in all oil samples.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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