A modified cell-to-cell simulation model to predict oil-gas minimum miscibility pressure.
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| Title: | A modified cell-to-cell simulation model to predict oil-gas minimum miscibility pressure. |
|---|---|
| Authors: | Yang, FuLin1,2 fulinyang@sina.com |
| Source: | Journal of Petroleum Exploration & Production Technology. Sep2024, Vol. 14 Issue 8/9, p2529-2538. 10p. |
| Subject Terms: | *Miscibility, *Peng-Robinson equation, *Equations of state, *Petroleum, *Simulation methods & models, *Industrial capacity, *Carbon dioxide |
| Abstract: | Calculating the minimum miscibility pressure (MMP) between crude oil and carbon dioxide (CO2) is critical for optimizing injection parameters, designing schemes, and predicting production capacity in CO2 injection projects for enhancing oil recovery. However, an accurate approach for obtaining this parameter is not yet established. In order to tackle this issue, a novel approach is suggested, based on the original cell-to-cell model, to determine the MMP and the 97% oil recovery rate as the standard. Using the volume-transformed Peng-Robinson equation of state enhances the precision of fluid volume estimation, as it mainly relies on predicting fluid volume within each cell. Furthermore, to ensure a precise estimation of the ultimate oil recovery rate, it is imperative to employ a total cell count of 500 in all simulations to avoid the problem of numerical dispersion. Finally, a second-order polynomial equation more accurately predicts the infinite-cell oil recovery factor. The accuracy of the modified model is verified by comparing MMP values from five oil and gas systems in the literature. The computational results of the modified multiple-mixing-cell (MMC) approach exhibit a higher level of concordance with the MMPs in the literature. The average relative error is less than 3.96%. The improved MMC algorithm can quickly determine the miscibility mechanism and visually represent the dynamic miscibility process involving multiple oil-gas contacts in a slim tube. This study provides a theoretical and practical basis for addressing the critical scientific issues of CO2-safe storage technology. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 179504833 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A modified cell-to-cell simulation model to predict oil-gas minimum miscibility pressure. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+FuLin%22">Yang, FuLin</searchLink><relatesTo>1,2</relatesTo><i> fulinyang@sina.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Petroleum+Exploration+%26+Production+Technology%22">Journal of Petroleum Exploration & Production Technology</searchLink>. Sep2024, Vol. 14 Issue 8/9, p2529-2538. 10p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Miscibility%22">Miscibility</searchLink><br />*<searchLink fieldCode="DE" term="%22Peng-Robinson+equation%22">Peng-Robinson equation</searchLink><br />*<searchLink fieldCode="DE" term="%22Equations+of+state%22">Equations of state</searchLink><br />*<searchLink fieldCode="DE" term="%22Petroleum%22">Petroleum</searchLink><br />*<searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br />*<searchLink fieldCode="DE" term="%22Industrial+capacity%22">Industrial capacity</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbon+dioxide%22">Carbon dioxide</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Calculating the minimum miscibility pressure (MMP) between crude oil and carbon dioxide (CO2) is critical for optimizing injection parameters, designing schemes, and predicting production capacity in CO2 injection projects for enhancing oil recovery. However, an accurate approach for obtaining this parameter is not yet established. In order to tackle this issue, a novel approach is suggested, based on the original cell-to-cell model, to determine the MMP and the 97% oil recovery rate as the standard. Using the volume-transformed Peng-Robinson equation of state enhances the precision of fluid volume estimation, as it mainly relies on predicting fluid volume within each cell. Furthermore, to ensure a precise estimation of the ultimate oil recovery rate, it is imperative to employ a total cell count of 500 in all simulations to avoid the problem of numerical dispersion. Finally, a second-order polynomial equation more accurately predicts the infinite-cell oil recovery factor. The accuracy of the modified model is verified by comparing MMP values from five oil and gas systems in the literature. The computational results of the modified multiple-mixing-cell (MMC) approach exhibit a higher level of concordance with the MMPs in the literature. The average relative error is less than 3.96%. The improved MMC algorithm can quickly determine the miscibility mechanism and visually represent the dynamic miscibility process involving multiple oil-gas contacts in a slim tube. This study provides a theoretical and practical basis for addressing the critical scientific issues of CO2-safe storage technology. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=179504833 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13202-024-01839-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 2529 Subjects: – SubjectFull: Miscibility Type: general – SubjectFull: Peng-Robinson equation Type: general – SubjectFull: Equations of state Type: general – SubjectFull: Petroleum Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Industrial capacity Type: general – SubjectFull: Carbon dioxide Type: general Titles: – TitleFull: A modified cell-to-cell simulation model to predict oil-gas minimum miscibility pressure. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, FuLin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 21900558 Numbering: – Type: volume Value: 14 – Type: issue Value: 8/9 Titles: – TitleFull: Journal of Petroleum Exploration & Production Technology Type: main |
| ResultId | 1 |
