An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection
The measurement of the minimum miscibility pressure (MMP) is one of the most important steps in the project design of miscible gas injection for which several experimental and modeling methods have been proposed. On the other hand, the standard procedure for compositional studies of miscible gas inj...
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| Format: | Article |
| Language: | English |
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Reaserch Institute of Petroleum Industry
2019-05-01
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| Series: | Journal of Petroleum Science and Technology |
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| Online Access: | https://jpst.ripi.ir/article_956_7f89599a7459258b0acac86bc48b49c7.pdf |
| _version_ | 1818194469912051712 |
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| author | Leila Mashayekhi Mehdi Assareh Norollah Kasiri |
| author_facet | Leila Mashayekhi Mehdi Assareh Norollah Kasiri |
| author_sort | Leila Mashayekhi |
| collection | DOAJ |
| description | The measurement of the minimum miscibility pressure (MMP) is one of the most important steps in the project design of miscible gas injection for which several experimental and modeling methods have been proposed. On the other hand, the standard procedure for compositional studies of miscible gas injection process is the regression of EOS to the conventional PVT tests. Moreover, this procedure does not necessarily result in an accurate calculation of the MMP. In this study, an effective procedure is presented using both conventional PVT and slim tube data in the regression to provide appropriate EOS parameters for field studies including miscible gas injection. In the first step, the EOS parameters were subjected to regression to the conventional PVT data. In addition, these parameters were then used as inputs for simultaneous regression to the conventional PVT and MMP data. MMP is modeled through the automated execution of a series of compositional simulation of slim tube. Moreover, the regression uses a stochastic optimization for minimizing an objective function (regression) have been coupled with two separate core calculations, (1) equilibrium calculations of the conventional tests and (2) compositional simulation of the slim tube. For evaluation, a number of real reservoir fluids from field data are used from reliable datasets in the literature. Finally, the promising results demonstrated that this procedure is capable to provide EOS parameters for accurate predictions in the miscible gas injection processes. |
| first_indexed | 2024-12-12T01:02:48Z |
| format | Article |
| id | doaj.art-b1875fc990184505a3921cd3feb4f74e |
| institution | Directory Open Access Journal |
| issn | 2251-659X 2645-3312 |
| language | English |
| last_indexed | 2024-12-12T01:02:48Z |
| publishDate | 2019-05-01 |
| publisher | Reaserch Institute of Petroleum Industry |
| record_format | Article |
| series | Journal of Petroleum Science and Technology |
| spelling | doaj.art-b1875fc990184505a3921cd3feb4f74e2022-12-22T00:43:40ZengReaserch Institute of Petroleum IndustryJournal of Petroleum Science and Technology2251-659X2645-33122019-05-0192708810.22078/jpst.2018.3270.1537956An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas InjectionLeila Mashayekhi0Mehdi Assareh1Norollah Kasiri2School of Chemical Engineering, Iran University of Science and TechnologyThermodynamics Research Laboratory, School of Chemical Engineering, Iran University of Science and Technology, Tehran 16846-13114, IranIran University of Science and TechnologyThe measurement of the minimum miscibility pressure (MMP) is one of the most important steps in the project design of miscible gas injection for which several experimental and modeling methods have been proposed. On the other hand, the standard procedure for compositional studies of miscible gas injection process is the regression of EOS to the conventional PVT tests. Moreover, this procedure does not necessarily result in an accurate calculation of the MMP. In this study, an effective procedure is presented using both conventional PVT and slim tube data in the regression to provide appropriate EOS parameters for field studies including miscible gas injection. In the first step, the EOS parameters were subjected to regression to the conventional PVT data. In addition, these parameters were then used as inputs for simultaneous regression to the conventional PVT and MMP data. MMP is modeled through the automated execution of a series of compositional simulation of slim tube. Moreover, the regression uses a stochastic optimization for minimizing an objective function (regression) have been coupled with two separate core calculations, (1) equilibrium calculations of the conventional tests and (2) compositional simulation of the slim tube. For evaluation, a number of real reservoir fluids from field data are used from reliable datasets in the literature. Finally, the promising results demonstrated that this procedure is capable to provide EOS parameters for accurate predictions in the miscible gas injection processes.https://jpst.ripi.ir/article_956_7f89599a7459258b0acac86bc48b49c7.pdfreservoir fluidsminimum miscibility pressurecompositional simulationregressionslim tube |
| spellingShingle | Leila Mashayekhi Mehdi Assareh Norollah Kasiri An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection Journal of Petroleum Science and Technology reservoir fluids minimum miscibility pressure compositional simulation regression slim tube |
| title | An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection |
| title_full | An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection |
| title_fullStr | An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection |
| title_full_unstemmed | An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection |
| title_short | An Effective EOS Based Modeling Procedure for Minimum Miscibility Pressure in Miscible Gas Injection |
| title_sort | effective eos based modeling procedure for minimum miscibility pressure in miscible gas injection |
| topic | reservoir fluids minimum miscibility pressure compositional simulation regression slim tube |
| url | https://jpst.ripi.ir/article_956_7f89599a7459258b0acac86bc48b49c7.pdf |
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