SPE Journal
Volume 14, Number 1, March 2009, pp. 78-87

SPE-106179-PA

Multiscale Mixed-Finite-Element Modeling of Coupled Wellbore/Near-Well Flow

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DOI  More information 10.2118/106179-PA http://dx.doi.org/10.2118/106179-PA

Citation

  • Krogstad, S. and Durlofsky, L.J. 2009. Multiscale Mixed-Finite-Element Modeling of Coupled Wellbore/Near-Well Flow. SPE J.  14 (1): 78-87. SPE-106179-PA.

Discipline Categories

  • 6.5 Reservoir Simulation

Summary

An accurate well-modeling capability is important for both production- and reservoir-engineering calculations. Ideally, the models used for these two applications should be related in a logical manner. Multiscale methods allow varying degrees of resolution and can, therefore, provide a natural link between production and reservoir models. In this paper, we present a coupled wellbore-/reservoir-flow model that is based on a multiscale mixed-finite-element formulation for reservoir flow linked to a drift/flux wellbore-flow representation. The model is able to capture efficiently the effects of near-well heterogeneity in the reservoir and phase holdup and pressure variation in the wellbore. The formulation presented here is for oil/water systems. The basic reservoir/wellbore linkage is described and validated through comparison to results from an existing simulator. The multiscale method is then applied to a heterogeneous-reservoir model. Both vertical and deviated wells are considered. Comparisons of the multiscale solution to the fully resolved (fine-scale) solution demonstrate the efficiency and high degree of accuracy of the method for both reservoir and wellbore quantities.

Introduction

The accurate modeling of near-well flow effects is essential for large-scale reservoir simulation and detailed production-engineering calculations. Near-well models ideally should include wellbore- and reservoir-flow effects and should be suitable both as standalone well-production applications and as modules in reservoir simulators. Multiscale-finite-element methods, in concept, are well-suited for this type of modeling because they allow varying resolution and provide a systematic procedure for coarsening and refining. Thus, they can provide the basis for a modeling framework that maintains consistency between reservoir- and production-engineering models. To our knowledge, however, multiscale methods have not yet been applied for this problem.

In this work, we develop a multiscale mixed-finite-element method (MsMFEM) for modeling coupled wellbore and near-well flow. The MsMFEM solves the pressure equation (in the reservoir domain) on a coarse grid but captures fine-scale effects through basis functions determined from numerical solutions of local single-phase-flow problems on the underlying fine-scale geological grid. We fully resolve the well trajectory on the fine scale using a flexible grid, which is close to radial around the well but logically Cartesian away from the well. The flow within the wellbore is represented using a drift/flux model. This model captures the slip between phases and provides the in-situ phase fractions (holdup), which provide a means for computing the pressure profile within the wellbore. Pressure variation within the wellbore is important in many settings because it affects the local inflow from the reservoir into the well (in the case of a production well).

Multiscale methods for reservoir simulation have been introduced as an alternative to standard upscaling as a tool for more fully incorporating fine-scale features at low computational cost. Among the relevant approaches are the multiscale finite-element methods (e.g., Hou and Wu 1997; Efendiev et al. 2006), the multiscale finite-volume method (Jenny et al. 2003) and the MsMFEM (Chen and Hou 2003). The variational multiscale approach of Arbogast (2000), also formulated within a mixed-finite-element context, represents another related methodology. Here, we consider a version of the MsMFEM introduced by Aarnes (2004) and extended in later publications (Aarnes et al. 2006, 2008).

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History

  • Original manuscript received: 4 December 2006
  • Meeting paper published: 26 February 2007
  • Revised manuscript received: 18 July 2008
  • Manuscript approved: 5 August 2008
  • Published online: 16 March 2009
  • Version of record: 1 March 2009