Rigorous Modeling of Solution GasÃ¢ÂÂOil Ratios for a Wide Ranges of Reservoir Fluid PropertiesArash Kamari1, Sohrab Zendehboudi2, James J Sheng3*, Amir H Mohammadi1,4* and Deresh Ramjugernath1
- Corresponding Author:
- Sheng J
Department of Petroleum Engineering
Texas Tech University, TX, USA
E-mail: [email protected]
Amir H Mohammadi
Institute of Research in Chemical Engineering
and Petroleum (IRGCP), Paris Cedex, France
Tel: + (33) 164-694-970
Fax: + (33) 164-694-968
E-mail: [email protected]; [email protected]
Received date: September 12, 2016; Accepted date: October 30, 2016; Published date: November 07, 2016
Citation: Kamari A, Zendehboudi S, Sheng JJ, Mohammadi AH, Ramjugernath D (2016) Rigorous Modeling of Solution Gas–Oil Ratios for a Wide Ranges of Reservoir Fluid Properties. J Pet Environ Biotechnol 7: 308. doi: 10.4172/2157- 7463.1000308
Copyright: © 2016 Kamari A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The reservoir fluid properties, the solution gas–oil ratio (GOR), are of great importance in various aspects of petroleum engineering. Therefore, a rapid means for estimating such parameters is much sort after. In this study, the linear interaction and general optimization method is applied in the development of a precise and reliable model for estimating the solution GOR. In order to develop a model that would be comprehensive, a reliable and extensive databank comprising of more than 1000 datasets collected from various geographical locations, including Asia, Mediterranean Basin, North America, Africa, and Middle East was compiled. Furthermore, the model developed was benchmarked against widely-used empirical methods in order to evaluate the performance of method proposed in predicting solution GOR data. The results show that the model proposed in this study outperforms the empirical methods to which it was compared. This study also investigated the influence of the reservoir fluid properties on the estimated solution GOR for the newly- developed model. Results show that bubble point pressure and gas gravity have the largest and the smallest influences on the predicted solution GOR, respectively. Finally, the Leverage approach was applied to determine the applicability domain for the proposed method via the detection of outlier data points. It was determined that only 26 data points, out of more than 1000 data, are identified as outlier data points.