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Systems Analysis of the Evolution of Views on Oil Systems: From Petroleum Chemistry to Petroinformatics
Petroleum Chemistry ( IF 1.4 ) Pub Date : 2021-06-16 , DOI: 10.1134/s0965544121060128
R. Z. Safieva , V. D. Mishin

Abstract

Essentially different approaches to studying oil systems (analytical, colloid-chemical, model, chemo-informational), regardless of the chronological periods of their development, are described. The analytical approach, being historically first, today, with the progress of petroleomics, becomes the source of digital data on the detailed chemical composition of oil systems, which is particularly important for the progress of the chemo-informational approach, petroinformatics. From the standpoint of systems analysis, specifically petroinformatics combines the achievements of all the other approaches, because the availability of the initial digital data on the detailed composition, obtained by petroleomics, on the parameters of the colloid-disperse structure, and on reference properties of a representative set of oil system samples gives grounds to expect that the use of chemometrics and mathematical methods of multivariate data analysis will allow reliable prediction of practically important reference properties of new oil system samples. An example of comparative processing of multivariate data for a limited sample of Russian crude oils using mathematical methods is presented.



中文翻译:

石油系统观点演变的系统分析:从石油化学到石油信息学

摘要

描述了研究石油系统(分析、胶体化学、模型、化学信息)的本质不同的方法,无论其发展的时间顺序如何。历史上第一的分析方法,今天随着石油组学的进步,成为石油系统详细化学成分的数字数据来源,这对于化学信息方法、石油信息学的进步尤为重要。从系统分析的角度来看,特别是石油信息学结合了所有其他方法的成果,因为通过石油组学获得的关于胶体分散结构参数的详细成分的初始数字数据的可用性,以及一组有代表性的油系统样品的参考特性,有理由期望使用化学计量学和多变量数据分析的数学方法能够可靠地预测新油系统样品的实际重要参考特性。介绍了使用数学方法对俄罗斯原油有限样本的多变量数据进行比较处理的示例。

更新日期:2021-06-17
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