Adelaide Research & Scholarship
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https://hdl.handle.net/2440/45229
| Type: | Conference paper |
| Title: | A New Genetic Algorithm (GA)-Based Technique to Model the Effects of CO2 Injection on Crude Oil Properties |
| Author: | Emera, M. Sarma, H. |
| Citation: | 13th European Symposium on Improved Oil Recovery, 25-27 April, 2005, 2005 |
| Part of: | Proceedings of 13th European Symposium on Improved Oil Recovery |
| Issue Date: | 2005 |
| Conference Name: | European Symposium on Improved Oil Recovery (13th : 2005 : Budapest, Hungary) |
| Statement of Responsibility: | M.K. Emera, H.K. Sarma |
| Abstract: | A key parameter in a CO2 flooding process is its solubility in the crude oil that results in oil swelling accompanied by a reduction of its viscosity. Where experimental data are not available these physical properties are often determined by using correlations available in the literature. While such correlations are useful for certain conditions they are not applicable in many situations. |
| Description (link): | http://www.earthdoc.org/detail.php?paperid=P05&edition=12 |
| Appears in Collections: | Aurora harvest Australian School of Petroleum publications |
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