Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/45212
| Type: | Conference paper |
| Title: | A New Genetic Algorithm (GA) Model Predicts Green-House Gas (GHG) and Reservoir Oil Interaction Parameters More Accurately in Geosequestration Applications. |
| Author: | Emera, M. Sarma, H. |
| Citation: | SPE Asia Pacific Oil and Gas Conference and Exhibition, 11-13 September, 2006., 2006 |
| Part of: | Asia Pacific Oil and Gas Conference and Exhibition 2006: Thriving on Volatility |
| Publisher: | Society of Petroleum Engineers |
| Issue Date: | 2006 |
| ISBN: | 9781604236682 |
| Conference Name: | Asia Pacific Oil & Gas Conference and Exhibition (2006 : Adelaide, Australia) |
| Description: | SPE paper 100808 |
| Description (link): | http://www.proceedings.com/00415.html |
| Appears in Collections: | Aurora harvest 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.