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Frontiers and Future of Multiphase Fluid
Flow Modeling in Oil Reservoirs Shuyu Sun Earth Science and Engineering program, Division of PSE, KAUST Applied Mathematics & Computational Science program, MCSE, KAUST Acknowledge: Mary F. Wheeler, The University of Texas at Austin Abbas Firoozabadi, Yale & RERI; Joachim Moortgat, RERI Mohamed ElAmin, Chuanxiu Xu and Jisheng Kou, KAUST Presented at 2010 CSIM meeting, KAUST Bldg. 2 (West), Level 5, Rm 5220, 11:10-11:35, May 1, 2010.
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Energy and Environment Problems
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Single-Phase Flow In Porous Media
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Single-Phase Flow in Porous Media
Continuity equation – from mass conservation: Volumetric/phase behaviors – from thermodynamic modeling: Constitutive equation – Darcy’s law:
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Incompressible Single Phase Flow
Continuity equation Darcy’s law Boundary conditions:
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DG scheme applied to flow equation
Bilinear form Linear functional Scheme: seek such that
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Transport in Porous Media
Transport equation Boundary conditions Initial condition Dispersion/diffusion tensor
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DG scheme applied to transport equation
Bilinear form Linear functional Scheme: seek s.t. I.C. and
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Example: importance of local conservation
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Example: Comparison of DG and FVM
Upwind-FVM on 40 elements Linear DG on 20 elements Advection of an injected species from the left boundary under constant Darcy velocity. Plots show concentration profile at 0.5 PVI.
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Example: Comparison of DG and FVM
Linear DG Advection of an injected species from the left. Plots show concentration profiles at 3 years (0.6 PVI).
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Example: flow/transport in fractured media
Locally refined mesh: FEM and FVM are better than FD for adaptive meshes and complex geometry
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Example: flow/transport in fractured media
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Adaptive DG example L2(L2) Error Estimators
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A posteriori error estimate in the energy norm for all primal DGs
Proof Sketch: Relation of DG and CG spaces through jump terms S. Sun and M. F. Wheeler, Journal of Scientific Computing, 22(1), , 2005.
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Adaptive DG example (cont.)
Anisotropic mesh adaptation
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Adaptive DG example in 3D
L2(L2) Error Estimators on 3D T=2.0 T=0.1 T=0.5 T=1.0
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Two-Phase Flow In Porous Media
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Two-Phase Flow Governing Equations
Mass Conservation Darcy’s Law Capillary Pressure Saturation Summation Constraint
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DG-MFEM IMPES Algorithm – Pressure Equ
If incompressible (otherwise treating it with a source term): Total Velocity: Pressure Equation: MFEM Scheme: Apply MFEM Two unknown variables: Velocity Ua and Water potential
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DG-MFEM IMPES Algorithm – Saturation Equ
Solve for the wetting (water) phase equation: Relate water phase velocity with total velocity: Saturation Equation (if using Forward Euler): DG Scheme: Apply DG (integrating by parts and using upwind on element interfaces) to the convection term.
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Reservoir Description (cont.)
Relative permeabilities (assuming zero residual saturations): Capillary pressure K=100md This is the overview of my presentation. K=1md
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Comparison: if ignore capillary pressure …
With nonzero capPres With zero capPres Saturation at 10 years: Iter-DG-MFE
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but Sw is discontinuous across the two rocks
Saturation at 3 years Notice that Sw is continuous within each rock, but Sw is discontinuous across the two rocks Iter-DG-MFE Simulation
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but Sw is discontinuous across the two rocks
Saturation at 5 years Notice that Sw is continuous within each rock, but Sw is discontinuous across the two rocks Iter-DG-MFE Simulation
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but Sw is discontinuous across the two rocks
Saturation at 10 years Notice that Sw is continuous within each rock, but Sw is discontinuous across the two rocks Iter-DG-MFE Simulation
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Multi-Phase Flow In Porous Media
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Compositional Three-Phase Flow
Mass Conservation (without molecular diffusion) Darcy’s Law
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Example of CO2 injection
Initial Conditions: C10+H2O(Sw=Swc=0.1), 100 bar,160 F. Inject water (0.1 PV/year) to 2 PV, then inject CO2 to 8 PV. Poutlet= 100 bar Relative permeabilities: Quadratic forms except nw=3. Residual/critical saturations: Sor = 0.40; Swc = 0.10; Sgc = 0.02 Sgmax = 0.8; Somin = 0.2 ; ; ;
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Example (cont.) MFE-dG 0.1 PVI. MFE-dG 0.2 PVI. MFE-dG 0.5 PVI.
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Example 3 (cont.) nC10 at 10% PVI CO2 nC10 at 200% PVI CO2
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Remarks for Multiphase Flow
Framework has been established for advancing dG-MFE scheme for three-phase compositional modeling. In our formulation we adopt the total volume flux approach for the MFE. dG has small numerical diffusion CO2 injection Swelling effect and vaporization Reduction of viscosity in oil phase Recovery by CO2 injection > Recovery by C1 > Recovery by N2
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Modeling of Phase Behaviors
for Reservoir Fluid
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EOS Modeling of Phase Behaviors
PVT modeling: EOS Peng-Robinson EOS Cubic-plus-association EOS Thermodynamic theory Stability calculation Tangent Phase Distance (TPD) analysis Gibbs Free Energy Surface analysis Flash calculation Bisection method (Rachford-Rice equation) Successive Substitution Newton’s method
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Gibbs Ensemble Monte Carlo simulation
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Three Monte Carlo movements in simulation
Particle displacements Volume Change Particle Transfer
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Microstructure from the ab initio calculation
The microstructure of the molecular models form the ab initio calculation Bond length(Å) Angle(degree) Hydrogen length(Å) OH(H2O) 0.9619 OH(H2O) 2 0.9698 1.9321 CH(C2H6) 1.0938 CH(H2O----C2H6) 1.0940 (H2O) 105.06 (H2O) 2 105.28 107.5 The nearest neighbor interaction between the Water and Ethane T-shaped pair of water molecules
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Water-ethane high pressure equilibria at T=523 K
Experimental data are from Chemie-Ing. Techn. (1967), 39, 816 EoS: Statistical-Associating-Fluid-Theory (SAFT)
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Thank You!
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