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Molecular representation of complex hydrocarbon feedstocks through efficient characterization and stochastic algorithms

Author
NEUROCK, M; ABHASH NIGAM; TRAUTH, D; KLEIN, M. T
Univ. Delaware, cent. catalytic sci. technology, dep. chemical eng., Newark DE 19716, United States
Conference title
Chemical reaction engineering : science and technology. I
Conference name
ISCRE 13 : international symposium on chemical reaction engineering (13 ; Baltimore MD 1994-09-25)
Author (monograph)
BELL, ALEXIS T (Editor)1
[1] Univ. California, Berkeley CA, United States
Source

Chemical engineering science. 1994, Vol 49, Num 24A, pp 4153-4177 ; ref : 14 ref

CODEN
CESCAC
ISSN
0009-2509
Scientific domain
Chemical engineering
Publisher
Elsevier, Oxford
Publication country
United Kingdom
Document type
Conference Paper
Language
English
Keyword (fr)
Asphaltène Caractérisation Fonction densité probabilité Gas oil lourd Pétrole lourd Représentation Structure atomique Structure moléculaire
Keyword (en)
Asphaltene Characterization Probability density function Heavy gas oil Heavy oil Representation Atomic structure Molecular structure
Keyword (es)
Asfalteno Caracterización Función densidad probabilidad Gasóleo pesado Petróleo pesado Representación Estructura atómica Estructura molecular
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products / 001D06B02C Constitution and properties of crude oils, shale oils, natural gas and bitumens. Analysis and characteristics

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
3492346

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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