SPE Journal
Volume 15, Number 1, March 2010, pp. 228-237

SPE-113558-PA

Appropriate Choice of Average Pressure for Upscaling Relative Permeability in Dynamic Flow Conditions

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DOI  More information 10.2118/113558-PA http://dx.doi.org/10.2118/113558-PA

Citation

  • Nordbotten, J.M., Nogués, J.P., and Celia, M.A. 2010. Appropriate Choice of Average Pressure for Upscaling Relative Permeability in Dynamic Flow Conditions. SPE J.  15 (1): 228-237. SPE-113558-PA. doi: 10.2118/113558-PA.

Discipline Categories

  • 6.3.2 Multi-phase Flow
  • 6.5.3 Scaling Methods

Summary

A new macroscale pressure definition is investigated through a series of upscaling calculations for two-phase flow in porous media. This definition is taken from previous theoretical work by the authors and aims at correcting for systematic subscale heterogeneities including those generated by nonlinear dependencies on (heterogeneous) saturation distributions. Traditional intrinsic phase-averaged pressure leads to nonmonotone and multivalued upscaled constitutive functions (e.g., discontinuous upscaled-relative-permeabilities exceeding unity). Using both analytical and numerical calculations, the new macroscale pressure definition is shown to lead to better-behaved upscaled functions.

Introduction

One of the most important challenges in the simulation of multiphase flow processes, such as oil and gas recovery, is the large disparity between the resolution of the geological characterization and the smallest feasible grid size in a typical numerical simulation. Modern geostatistical approaches frequently produce realizations of the geology with details down to the submeter scale. Computational capabilities of modern multiphase flow simulators are typically limited to approximately a million grid cells. For a medium-sized oil field, this translates to a grid resolution on the scale of tens of meters. As a consequence, some form of coarsening or upscaling is necessary to relate the geological description to parameters defined at the grid-block scale.

Several approaches to upscaling are currently under active development. In these methods, macroscale flow equations are defined, for which effective parameters must be obtained. These macroscale effective parameters are typically chosen such that the solution of some small-scale flow problem is honored; for reviews see Barker and Thibeau (1997) or Christie (2001). Recent developments have looked at enhancing this approach by optimizing the choice of macroscale grid, as well as introducing higher-order spatial moments (such as variance and covariance) of saturation and flow into the macroscale effective functions (Durlofsky 1998). The general framework of upscaling to obtain effective parameters forms the basis of the discussion in this paper.

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History

  • Original manuscript received: 29 September 2007
  • Revised manuscript received: 30 January 2008
  • Manuscript approved: 16 February 2008
  • Published online: 17 December 2009
  • Version of record: 12 March 2010