An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process
Accurate simulation of the VAPEX process relies heavily on precise modeling of the solvent chamber propagation. In the previously developed models, the solvent chamber possesses either a linear, circular, or parabolic shape. In this study, an exponential solvent chamber model was considered to repre...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/16/5874 |
| _version_ | 1827628349165404160 |
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| author | Ali Cheperli Farshid Torabi Morteza Sabeti Aria Rahimbakhsh |
| author_facet | Ali Cheperli Farshid Torabi Morteza Sabeti Aria Rahimbakhsh |
| author_sort | Ali Cheperli |
| collection | DOAJ |
| description | Accurate simulation of the VAPEX process relies heavily on precise modeling of the solvent chamber propagation. In the previously developed models, the solvent chamber possesses either a linear, circular, or parabolic shape. In this study, an exponential solvent chamber model was considered to represent the propagation of the chamber throughout the spreading and falling stages of the VAPEX process. The tuning parameters of the proposed model include the exponential function coefficient and the transition region thickness. These parameters are altered by employing a MATLAB-based Genetic Algorithm (GA) to minimize the error between determined and measured cumulative produced oil in four experimental case studies presented in the literature. According to the outcomes, the proposed method can accurately adjust the cumulative produced oil to the measured values in both spreading and falling stages. Additionally, the thickness of the transition region obtained by this model is in reasonable agreement with the laboratory measurements. Accordingly, the average relative errors of all four cases for cumulative produced oil and transition region thickness are 7.73% and 5.12%, respectively. Consequently, the model estimates the oil production rate with reasonable precision and the predicted solvent chamber shapes are well-aligned with the experimentally observed chambers. |
| first_indexed | 2024-03-09T13:31:24Z |
| format | Article |
| id | doaj.art-a1d99d40afd74dbe9557087c4aadd695 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T13:31:24Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a1d99d40afd74dbe9557087c4aadd6952023-11-30T21:18:07ZengMDPI AGEnergies1996-10732022-08-011516587410.3390/en15165874An Exponential Solvent Chamber Geometry for Modeling the VAPEX ProcessAli Cheperli0Farshid Torabi1Morteza Sabeti2Aria Rahimbakhsh3Petroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, CanadaPetroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, CanadaPetroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, CanadaPetroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, CanadaAccurate simulation of the VAPEX process relies heavily on precise modeling of the solvent chamber propagation. In the previously developed models, the solvent chamber possesses either a linear, circular, or parabolic shape. In this study, an exponential solvent chamber model was considered to represent the propagation of the chamber throughout the spreading and falling stages of the VAPEX process. The tuning parameters of the proposed model include the exponential function coefficient and the transition region thickness. These parameters are altered by employing a MATLAB-based Genetic Algorithm (GA) to minimize the error between determined and measured cumulative produced oil in four experimental case studies presented in the literature. According to the outcomes, the proposed method can accurately adjust the cumulative produced oil to the measured values in both spreading and falling stages. Additionally, the thickness of the transition region obtained by this model is in reasonable agreement with the laboratory measurements. Accordingly, the average relative errors of all four cases for cumulative produced oil and transition region thickness are 7.73% and 5.12%, respectively. Consequently, the model estimates the oil production rate with reasonable precision and the predicted solvent chamber shapes are well-aligned with the experimentally observed chambers.https://www.mdpi.com/1996-1073/15/16/5874VAPEX processsolvent chamber propagationexponential modeltransition region thicknessoil production prediction |
| spellingShingle | Ali Cheperli Farshid Torabi Morteza Sabeti Aria Rahimbakhsh An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process Energies VAPEX process solvent chamber propagation exponential model transition region thickness oil production prediction |
| title | An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process |
| title_full | An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process |
| title_fullStr | An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process |
| title_full_unstemmed | An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process |
| title_short | An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process |
| title_sort | exponential solvent chamber geometry for modeling the vapex process |
| topic | VAPEX process solvent chamber propagation exponential model transition region thickness oil production prediction |
| url | https://www.mdpi.com/1996-1073/15/16/5874 |
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