Structural Engineering and Mechanics

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Coupled solid and fluid mechanics simulation for estimating optimum injection pressure during reservoir CO2-EOR

  • Elyasi, Ayub (Department of Rock Mechanics, Tarbiat Modares University) ;
  • Goshtasbi, Kamran (Department of Rock Mechanics, Tarbiat Modares University) ;
  • Hashemolhosseini, Hamid (Department of Mining Engineering, Isfahan University of Technology) ;
  • Barati, Sharif (Faculty of mining, petroleum and geophysics, Shahrood University of technology)
  • Received : 2015.11.30
  • Accepted : 2016.03.08
  • Published : 2016.07.10
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Abstract

Reservoir geomechanics can play an important role in hydrocarbon recovery mechanism. In $CO_2$-EOR process, reservoir geomechanics analysis is concerned with the simultaneous study of fluid flow and the mechanical response of the reservoir under $CO_2$ injection. Accurate prediction of geomechanical effects during $CO_2$ injection will assist in modeling the Carbon dioxide recovery process and making a better design of process and production equipment. This paper deals with the implementation of a program (FORTRAN 90 interface code), which was developed to couple conventional reservoir (ECLIPSE) and geomechanical (ABAQUS) simulators, using a partial coupling algorithm. A geomechanics reservoir partially coupled approach is presented that allows to iteratively take the impact of geomechanics into account in the fluid flow calculations and therefore performs a better prediction of the process. The proposed approach is illustrated on a realistic field case. The reservoir geomechanics coupled models show that in the case of lower maximum bottom hole injection pressure, the cumulative oil production is more than other scenarios. Moreover at the high injection pressures, the production rates will not change with the injection bottom hole pressure variations. Also the FEM analysis of the reservoir showed that at $CO_2$ injection pressure of 11000 Psi the plastic strain has been occurred in the some parts of the reservoir and the related stress path show a critical behavior.

Keywords

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