Use of Multidimensional Data Analysis Method for Developing High-Quality Road Asphalt Production Technology

被引：1
|
作者：
Tyukilina, P. M. [1 ]
Mel'nikov, V. N. [1 ]
Tyshchenko, V. A. [1 ]
Ermakov, V. V. [2 ]
Pimenov, A. A. [2 ]
机构：
[1] OJSC Middle Volga Reg Sci Res Inst Petr Proc, Samara, Russia
[2] Samara State Tech Univ, Samara, Russia
来源：
CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS | 2015年 / 51卷 / 05期
关键词：
petroleum asphalt; multidimensional data analysis; prognostic model; group hydrocarbon composition;
D O I：
10.1007/s10553-015-0623-8
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The possibility of analyzing multidimensional data for predicting properties of petroleum road asphalts is examined. Construction of a prognostic model helped determine the optimal feedstock composition and technological parameters of the oxidation process for getting improved asphalts. The positive and negative correlating variables, viz., feedstock properties, oxidation process parameters, and properties of oxidized asphalts, are determined from the data set. The analysis results were used to develop a technology for producing improved asphalts under conditions of asphalt production by OAO Syzranskii NPZ (OJSC Syzran Refinery).
引用
收藏
页码：444 / 453
页数：10
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