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CO2 Storage Coupled with Enhanced Oil Recovery pp 51–71Cite as

Numerical Modeling of CO2 EOR

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Abstract

The methodologies for compositional modeling of CO2 EOR process is described by using the theories from Chap. 2. Fluid modeling for MMP estimation and asphaltene precipitation is performed before conducting reservoir simulation. Weyburn fluid and Burke Oil 1 are used for fluid modeling. In the fluid modeling, the addition of LPG contributes to reduce MMP but to accelerate asphaltene precipitation. Then, reservoir simulation for CO2 and CO2-LPG EOR is introduced to explain the effect of CO2 and intermediate hydrocarbons on miscibility and its performance by using the developed fluid model of Weyburn oil. LPG addition into CO2 stream improves not only displacement efficiency but also vertical sweep efficiency which results in enhancing oil production. The base models of CO2 and CO2-LPG WAG processes are developed by using Burke Oil 1. WAG is an effective injection strategy to increase the performance of EOR and residual and solubility trapping for CCS. Asphaltene deposition may occur during WAG process everywhere in the reservoir, and LPG addition accelerates the amount of asphaltene deposition. Although LPG addition improves the WAG performance by enhancing displacement efficiency with the effect of miscibility improvement, the effects can be overestimated if formation damages by asphaltene deposition are not considered.

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Authors and Affiliations

  1. Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Korea (Republic of)

    Kun Sang Lee

  2. Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Korea (Republic of)

    Jinhyung Cho

  3. E&P Technology Center, Korea National Oil Corporation, Ulsan, Korea (Republic of)

    Ji Ho Lee

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  1. Kun Sang Lee
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  2. Jinhyung Cho
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Correspondence to Kun Sang Lee .

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Lee, K.S., Cho, J., Lee, J.H. (2020). Numerical Modeling of CO2 EOR. In: CO2 Storage Coupled with Enhanced Oil Recovery. Springer, Cham. https://doi.org/10.1007/978-3-030-41901-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-41901-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41900-4

  • Online ISBN: 978-3-030-41901-1

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