STOCHASTIC GENERATION OF AVERAGE MOLECULAR STRUCTURES FROM ANALYTICAL CHEMISTRY CHARACTERIZATION DATA OF COMPLEX ORGANIC SYSTEMS

被引:0
|
作者
Machin, Ivan [1 ]
Gonzalez, Gledys [2 ]
机构
[1] Ctr Comercial Recreo, Castillo Max Oil & Gas, Av Casanova,Torre Sur,Piso 8,Ofic 8, Caracas, Venezuela
[2] Haltermann Carless UK Ltd, Schlengendeich 17, D-21107 Hamburg, Germany
来源
AVANCES EN CIENCIAS E INGENIERIA | 2020年 / 11卷 / 03期
关键词
structural parameters; NMR protons; asphaltenes molecular structure; stochastic generation; PETROLEUM ASPHALTENES; CRUDE-OIL; NMR; FRACTIONS; COAL; GPC;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The conversion of a given compound die during a chemical process is a reflection of its molecular structure. This is the reason why in the last decades, a whole array of methodologies has been developed to convert the characterization data of oil and its derivatives into molecular structures. This would help enormously in the design and optimization of the conversion processes of oil and its derivatives. In this work, an algorithm is presented that allows converting analytical chemistry characterization data (H-1 NMR, VPO and elemental analysis) of complex organic systems into stochastically generation molecular structures. This algorithm is a support tool for the development of computational programs for generating average molecular structures. The methodology proposed in that study was applied to the characterization data of asphalt fractions, reported in the literature, generating average molecular structures similar to these.
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页码:41 / 56
页数:16
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