Measurement and modeling of asphaltene precipitation from crude oil blends (Record no. 171071)

MARC details
000 -LEADER
fixed length control field 02383nab a2200205 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2009 xxu
245 00 - TITULO
Título Measurement and modeling of asphaltene precipitation from crude oil blends
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. jul./ago. 2009
270 ## - FECHA DE CARGA
Fecha de carga 15/06/2010 ; 15/06/2010
300 ## - DESCRIPCION FISICA
Otra extensión 10 p. ; 3971-3980
520 ## - RESUMEN, ETC
Resumen Transcripción del resumen del autor. A previously developed regular solution model was adapted to predict the onset and amount of asphaltene precipitation from crude oil blends diluted with pure n-alkanes or a mixture of toluene and n-heptane. Tests were conducted on nine different crude oils, a gas oil, and their blends. Oils and blends were characterized in terms of SARA (saturates, aromatics, resins, and asphaltenes) fractions. The mass fraction of each SARA fraction in the blends was confirmed as a weight average of the respective fraction in constituent oils. Asphaltenes were subdivided into fractions based on the gamma function to account for the distribution of aggregates resulting from self-association. To model the asphaltene onset and yield, liquid-liquid equilibrium was assumed between a heavy (asphaltenic) and a light (nonasphaltenic) phase. The distribution of asphaltenes in unblended crude oils was determined by fitting its asphaltene yield data when diluted with n-heptane. The fitting parameter in the model was the average aggregation number of asphaltenes in the source oils. Two approaches were tested to calculate the distribution of asphaltenes in crude oil blends. In the first approach, asphaltenes were assumed to interact, and the final molar mass distribution was determined from gamma function using the average aggregation number of constituent oils. In the second approach, no interaction was assumed, and the final distribution was calculated as a sum of the individual distributions. It was found that the best predictions of the onset and yield data were obtained by using the second approach. The mass fraction of n-heptane required to initiate precipitation was predicted with an average absolute deviation of 0.53% or less in all cases.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 4
773 0# - CORRECCIÓN
Título Energy & fuels
Partes relacionadas 23
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Tharanivasan, Asok Kumar
9 (RLIN) 34294
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Svrcek, William Y.
9 (RLIN) 42765
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Yarranton, Harvey W.
9 (RLIN) 42766
Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca Alejandro Angel Bulgheroni Biblioteca Alejandro Angel Bulgheroni 05/03/2026 200045929   200045929 05/03/2026 Artículo de Revista


Instituto Argentino del Petróleo y del Gas
Maipú 639 (C1006ACG) – Buenos Aires – Argentina
Tel: (54 11) 5277 IAPG (4274)
Lu - Vie 11 a 17 hs
Mail: biblio@iapg.org.ar


Copyright © 2026, Instituto Argentino del Petróleo y del Gas, todos los derechos reservados.

Protección de datos personales