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- Stavanger-CFD Workshop Peppino Terpolilli TFE-Pau. Flow in porous media: physical, mathematical and numerical aspects. OUTLINE. Darcy law Mathematical issues Some models: Black-oil, Dead-oil,Buckley-Leverett……… Numerical approach. Darcy law. Navier-Stokes equations: Darcy law:
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- Stavanger-CFD Workshop Peppino Terpolilli TFE-Pau Flow in porous media:physical, mathematical and numerical aspects
OUTLINE • Darcy law • Mathematical issues • Some models: Black-oil, Dead-oil,Buckley-Leverett……… • Numerical approach
Darcy law • Navier-Stokes equations: • Darcy law: • is the matrix of permeability: porous media characteristic
Darcy law • Continuum mechanics: at a REV located at : porosity: ratio of void to bulk volume permeability: Darcy law REV
Darcy law • Darcy law: empirical law (Darcy in 1856) • theoretical derivation: Scheidegger, King Hubbert, Matheron (heuristic) Tartar (homogeneization theory) Stokes Darcy law
Darcy law • Poiseuille flow in a tube: single-phase, horizontal flow steady and laminar no entrance and exit effects mean velocity radius length pressure gradient
Darcy law • Poiseuille flow in a tube: unit: darcy
Darcy law • Different scale: pore level: Stokes equations lab: measures numerical cell: upscaling field: heterogeneity Darcy law Darcy law
Black-oil model • Extended Darcy law: • relative permeability of phase p • the depth
Darcy law • Continuum mechanics: at a REV located at : saturation: fraction of pore volume relative permeability capillary pressure REV
Math issues • For single-phase flows Darcy law leads to linear equation: • For multi-phase flow we recover nonlinear equtions: hyperbolic, degenerate parabolic etc…..
Math issues • The mathematical model is a system of PDE with appropriate initial and boundary conditions • the coefficients of the equations are poorly known stochastic approach • geology + stochastic = geostatistic
Math issues Data: • wells : core, well-logging, well test • extension: geophysic, geology • scale problems and uncertainty (geostatistic)
Uncertainty • SPDE: • These problems are difficult: experimental design approach ‘ Grand projet incertitude ’ Industrial tools
Black-oil model • Hypotesis: three phases: 2 hydrocarbon phases and water hydrocarbon system: 2 components a non-volatile oil a volatile gas soluble in the oil phase
Black-oil model • Hypotesis: components phases oil oil gas oil gas gas water water
Black-oil model phases: water: wetting saturation oil : partially wetting saturation gas : non wetting saturation
Black-oil model • Validity of the hypothesis: dry gas depletion, immiscible water or gas injection oil with small volatility
Black-oil model • PVT behaviour: formation volume factor • where: volume of a fixed mass at reservoir conditions volume of a fixed mass at stock tank conditions
Black-oil model • Mass transfer between oil and gas phases: : gas component in the oil phase : oil component in the oil phase functions of the oil phase pressure
Black-oil model • Thermo functions for oil:
Black-oil model • Mass balance: water oil gas
Black-oil model • Extended Darcy law: • relative permeability of phase p • the depth
Black-oil model • Water: • oil: • gaz:
Black-oil model • saturation: • capillary pressures: • we obtain 3 equations with 3 unknowns:
Black-oil model:boundary conditions • Boundaries closed: no flux at the extreme cells aquifer: source term in corresponding cells • wells: Dirichlet condition: bottom pressure imposed Neumann condition: production rate imposed source terms for perforated cells (PI)
Black-oil model: initial conditions • capillary and gravity equilibrium • pressure imposed in oil zone at a given depth • oil pressure in all cells and then Pc curves
Black-oil model: theoretical results • Antonsev, Chavent, Gagneux: existence results for weak solutions • PME: porous media equation more resuts: Barenblatt, Zeldovich, Benedetti,…Vazquez.