Articles | Volume 56
https://doi.org/10.5194/adgeo-56-19-2021
https://doi.org/10.5194/adgeo-56-19-2021
16 Sep 2021
 | 16 Sep 2021

Numerical optimisation of CO2 flooding using a hierarchy of reservoir models

Andrey Afanasyev, Anna Andreeva, and Anna Chernova

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Cited articles

Afanasyev, A.: Hydrodynamic Modelling of Petroleum Reservoirs using Simulator MUFITS, Energy Proced., 76, 427–435, https://doi.org/10.1016/j.egypro.2015.07.861, 2015. a
Afanasyev, A.: Compositional Modelling of Petroleum Reservoirs and Subsurface CO2 Storage with the MUFITS Simulator, 2020, 1–13, https://doi.org/10.3997/2214-4609.202035190, 2020. a
Afanasyev, A.: MUFITS reservoir simulation software, MUFITS [software], available at: http://www.mufits.imec.msu.ru/, last access: 13 September 2021. a
Afanasyev, A. and Vedeneeva, E.: Compositional modeling of multicomponent gas injection into saline aquifers with the MUFITS simulator, J. Nat. Gas Sci. Eng., 84, 103988, https://doi.org/10.1016/j.jngse.2021.103988, 2021. a
Afanasyev, A., Andreeva, A., and Chernova, A.: Influence of oil field production life on optimal CO2 flooding strategies : Insight from the microscopic displacement efficiency, J. Petrol. Sci. Eng., 205, 108803, https://doi.org/10.1016/j.petrol.2021.108803, 2021. a, b, c, d, e, f, g, h, i, j, k, l
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Short summary
Depletion of conventional hydrocarbon deposits requires implementation of the enhanced oil recovery methods, particularly based on carbon dioxide injection. The article aims at an accelerated optimisation of such methods performance by means of numerical modelling. We propose an optimisation algorithm based on the construction of a hierarchy of compositional reservoir models. We give examples of the algorithm application and discuss its performance.