SPE Journal
Volume 15,
Number 2,
June 2010,
pp. 545-556
Summary
Thermodynamic equilibrium computations are usually the most time-consuming
component in compositional reservoir flow simulation. A compositional space
adaptive tabulation (CSAT) approach was developed as a preconditioner for
equation of state (EOS) computations in isothermal compositional simulation.
The compositional space is decomposed into sub- and supercritical regions. In
the subcritical region, we adaptively parameterize the compositional space
using a small number of tie-lines, which are assembled into a table. The
critical surface is parameterized and used to identify supercritical
compositions. The phase-equilibrium information for a composition is
interpolated as a function of pressure using the tie-line table. We extend the
CSAT approach to thermal problems. Given an overall composition at a fixed
temperature, the boundary between sub- and supercritical pressures is
represented by the critical tie-line and the corresponding minimal critical
pressure (MCP). A small set of subcritical tie-lines is computed and stored for
a given temperature. This process is repeated for the pressure and temperature
ranges of interest, and a coarse (regular) tie-line table is constructed. Close
to the critical boundary, a refined tie-line table is used. A combination of
regular and refined interpolation improves the robustness of the tie-line
search procedure and the overall efficiency of the computations. Several
challenging problems, including an unstructured heterogeneous discrete fracture
field model with 26 components, are used to demonstrate the robustness and
efficiency of this general tie-line-based parameterization method. Our results
indicate that CSAT provides accurate treatment of the near-critical region.
Moreover, the computational efficiency of the method is at least an order of
magnitude better than that of standard EOS-based reservoir simulation
approaches. We also show the efficiency gains relative to standard techniques
as a function of the number of gridblocks in the simulation model.
© 2010. Society of Petroleum Engineers
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History
- Original manuscript received:
12 November 2008
- Meeting paper published:
2 February 2009
- Revised manuscript received:
18 July 2009
- Manuscript approved:
13 August 2009
- Published online:
3 March 2010
- Version of record:
17 June 2010