Predictive modeling of relative permeability using a generalized equation-of-state

Prakash Purswani, Russell T. Johns, Zuleima T. Karpyn, Martin J. Blunt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reliable simulation of enhanced oil recovery processes depends on an accurate description of fluid transport in the subsurface. Current empirical transport models of rock-fluid interactions are fit to limited experimental data for specific rock types, fluids, and boundary conditions. In this paper, a general equation-of-state (EoS) approach is developed for relative permeability (kr) based on a set of geometric state parameters: normalized Euler characteristic (connectivity) and saturation. Literature data and pore-network modeling (PNM) simulations are used to examine the functional form of the EoS. Our results show that the new kr-EoS matches experimental data better than the conventional Corey form, especially for highly nonlinear relative permeabilities at low saturations. Using hundreds of PNM simulations, relative permeability scanning curves show a locus of residual saturation and connectivity which defines an important limit for the physical kr region. The change of this locus is also considered for two contact angles. PNM data further allows for the estimation of the relative permeability partial derivatives which are used as inputs in the EoS. Linear functions of these partials in the connectivity-saturation space renders a quadratic response of kr, which shows excellent predictions. Unlike current empirical models that are based on only one residual saturation, the state function approach allows for dynamic residual conditions critical for capturing hysteresis in relative permeability.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - SPE Improved Oil Recovery Conference 2020, IOR 2020
PublisherSociety of Petroleum Engineers (SPE)
ISBN (Electronic)9781613997055
StatePublished - 2020
EventSPE Improved Oil Recovery Conference 2020, IOR 2020 - Tulsa, United States
Duration: Aug 31 2020Sep 4 2020

Publication series

NameProceedings - SPE Symposium on Improved Oil Recovery
Volume2020-August

Conference

ConferenceSPE Improved Oil Recovery Conference 2020, IOR 2020
CountryUnited States
CityTulsa
Period8/31/209/4/20

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Geotechnical Engineering and Engineering Geology

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    Purswani, P., Johns, R. T., Karpyn, Z. T., & Blunt, M. J. (2020). Predictive modeling of relative permeability using a generalized equation-of-state. In Society of Petroleum Engineers - SPE Improved Oil Recovery Conference 2020, IOR 2020 (Proceedings - SPE Symposium on Improved Oil Recovery; Vol. 2020-August). Society of Petroleum Engineers (SPE).