Please use this identifier to cite or link to this item:
Type: Conference paper
Title: Size and Shape Characterization of Asphaltene Particles during Precipitation and Flocculation
Author: Fisher, D.
Yazawa, N.
Sarma, H.
Girard, M.
Huang, H.
Citation: The 5th International Conference on Petroleum Phase Behaviour and Fouling, 13-17 June, 2004, 2004
Part of: Proceedings of the 5th International Conference on Petroleum Phase Behaviour and Fouling, 13-17 June, 2004
Issue Date: 2004
Conference Name: The International Conference on Petroleum Phase Behaviour and Fouling (Banff, Alberta Canada) (13 Jun 2004 : Banff, Alberta Canada)
Statement of
Douglas Fisher, Nintoku Yazawa, Hemanta Sarma, Marcel Girard and Haibo Huang
Abstract: Asphaltenes found in a wide variety of crude oils, can be induced to precipitate from the oil, and then grow by flocculation by several mechanisms, such as pressure decline in the well bore, or by the addition of solvents in IOR processes. We have developed new methods of describing the particle growth numerically from sequences of images taken using a Micro-Visual cell at typical reservoir conditions. Single point spectrophotometric data can also be converted to numerical values describing particle growth. These methods can also be applied to other multi-phase systems such as emulsions. The images are analyzed in the frequency domain and a single number per image is computed, this number is defined as the "Particle Growth Factor" (PGF), which is a compound number that includes information about the size of the particles, the number of particles and their shape. The value computed from the spectrophotometric data contains similar information. This new approach shows how PGF increases with respect to solvent concentration, or pressure. If we use a suitable non-linear model to fit PGF with respect to concentration, or pressure, we can use the characteristics of the curve to predict the onset of precipitation, the point of maximum flocculation, and when deposition is at its maximum, for either controlling variable. We have applied this method to a wide range of crude oils from light to medium heavy oil.
RMID: 0020077647
Description (link):
Appears in Collections:Australian School of Petroleum publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.