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Networks and Heterogeneous Media

2010, Volume 5, Issue 3: 583-602. doi: 10.3934/nhm.2010.5.583
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Modeling multiphase non-Newtonian polymer flow in IPARS parallel framework

  • 1.
    Center for Subsurface Modeling, The University of Texas at Austin, Austin, TX 78712
  • Received: 01 January 2010 Revised: 01 April 2010

  • Primary: 76A05, 76S05, 65Y05; Secondary: 80A50.

  • With the depletion of oil reserves and increase in oil price, enhanced oil recovery methods such as polymer flooding to increase oil production from waterflooded fields are becoming more attractive. Effective design of these processes is challenging because the polymer chemistry has a strong effect on reaction and fluid rheology, which in turn has a strong effect on fluid transport. Polymer flow characteristics modeled in the UT-Austin IPARS (Integrated Parallel Accurate Reservoir Simulator) are adsorption on rock surfaces, polymer viscosity as a function of shear rate, polymer and electrolytes concentrations, permeability reduction, and inaccessible pore volume. A time-splitting algorithm is used to "independently" solve advection, diffusion/dispersion, and chemical reactions.

    Citation: Changli Yuan, Mojdeh Delshad, Mary F. Wheeler. Modeling multiphase non-Newtonian polymer flow in IPARS parallel framework[J]. Networks and Heterogeneous Media, 2010, 5(3): 583-602. doi: 10.3934/nhm.2010.5.583

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  • With the depletion of oil reserves and increase in oil price, enhanced oil recovery methods such as polymer flooding to increase oil production from waterflooded fields are becoming more attractive. Effective design of these processes is challenging because the polymer chemistry has a strong effect on reaction and fluid rheology, which in turn has a strong effect on fluid transport. Polymer flow characteristics modeled in the UT-Austin IPARS (Integrated Parallel Accurate Reservoir Simulator) are adsorption on rock surfaces, polymer viscosity as a function of shear rate, polymer and electrolytes concentrations, permeability reduction, and inaccessible pore volume. A time-splitting algorithm is used to "independently" solve advection, diffusion/dispersion, and chemical reactions.


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    2. Zhitao Li, Mojdeh Delshad, 2013, Development of an Analytical Injectivity Model for Non-Newtonian Polymer Solutions, 10.2118/163672-MS
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    5. Mariano Asteasuain, Efficient modeling of distributions of polymer properties using probability generating functions and parallel computing, 2019, 128, 00981354, 261, 10.1016/j.compchemeng.2019.06.009
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    7. C. Preux, I. Malinouskaya, Reservoir simulation model calibration methodology with polymer flooding based on laboratory experiments, 2019, 181, 09204105, 106176, 10.1016/j.petrol.2019.06.040
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  • © 2010 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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