SPE Journal
Volume 14, Number 2, June 2009, pp. 355-361

SPE-106073-PA

A General Unstructured-Grid, Equation-of-State-Based, Fully Implicit Thermal Simulator for Complex Reservoir Processes

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DOI  More information 10.2118/106073-PA http://dx.doi.org/10.2118/106073-PA

Citation

  • Liu, K., Subramanian, G., Dratler, D.I., Lebel, J.P., and Yerian, J.A. 2009. A General Unstructured-Grid, Equation-of-State-Based, Fully Implicit Thermal Simulator for Complex Reservoir Processes. SPE J.  14 (2): 355-361. SPE-106073-PA. doi:10.2118/106073-PA.

Discipline Categories

  • 6 Reservoir Description and Dynamics
  • 6.5 Reservoir Simulation
  • 6.2 Fluids Characterization
  • 6.3 Fluid Dynamics
  • 6.4 Primary and Enhanced Recovery Processes

Summary

This paper describes a general unstructured-grid, equation-of-state- (EOS) based, fully implicit thermal simulator for complex reservoir processes. Under the unstructured grid framework, the simulator uses Newton’s method to solve component material-balance equations, energy-balance equation, and volume-balance equation for component moles, energy, and pressure, where chemical reactions and external heat sources/sinks are treated in source terms. Because of the similarity among component material-balance equations and the energy-balance equation, energy is treated as a "component" to achieve a uniform formulation with common code for all simulations (black-oil, compositional, and thermal).

The thermal simulator was validated using analytical models and other thermal simulators. The thermal simulator is used to study grid-orientation problems and to design and optimize Cold Lake heavy-oil development.

Introduction

Modern reservoir management requires a simulator to represent reservoir details accurately using fine-scale geologic features, complex well paths, and modeling of large-scale interactions among multiple fields. Unstructured gridding makes it possible to capture and honor more geologic and engineering detail in reservoir-simulation models with greater exactness than Cartesian-based reservoir grids. However, industry generally has been reluctant to apply this capability to practical reservoir simulation partly because of concerns about potential loss in computational efficiency. Many papers have been published under Cartesian-based framework (Mifflin et al. 1991; Watts 1986; Coats 1980; Watts et al. 2005). Few papers are available to address reservoir simulation issues under general unstructured-grid framework (Naccache 1997; Beckner et al. 2001, 2006; Heinemann et al. 1991; Usadi et al. 2007; Karypis and Kumar 1998).

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History

  • Original manuscript received: 5 December 2006
  • Meeting paper published: 26 February 2007
  • Revised manuscript received: 29 January 2008
  • Manuscript approved: 30 January 2008
  • Published online: 1 June 2009
  • Version of record: 1 June 2009