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8/11/2019 5 What's the point
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Vermelding onderdeel organisatie
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Whats the point of fractionalflow modeling?
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All models are false but
some models are
us ul
.
- George E P Box
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Whats usefulin fractional-flow
modeling? Exact solutions for benchmarking accuracy and
numerical artifacts of simulators
Identify key parameters in complex models
Identify key aspects of complex processes
Viscous instability in sequence of banks
Most important conditions for conductingexperiments
Can lead to improved designs, to be tested and
refined with simulation Solutions that can be extended to resolution not
feasible with finite-difference simulation
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Identify key elements of process
In this example, surfactant preflush precedes foaminjection; only one fractional-flow curve applies
Authors claimed model with 11 foam parameters essential
Fitting single coreflood with uniform mobility in foam bankis easy with fractional-flow method; only one foamparameter is needed Sw in foam bank
Identify key parameters in complex models
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Foam for Miscible Flood: Solution
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Foam for Miscible Flood: Solution
High-mobility gas banks ahead offoam likely to finger through oil in2D or 3D; actual velocity of oil banklikely to be slower velocity of foam bank
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Example of Insights: Gas Injection inSAG Foam Process
Inject gas (fw = 0); initial condition Sw = 1
Surfactant Preflush has placed AGENT (surfactant) inregion of interest; only one fractional-flow curve
Most important conditions for conducting experiments
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Example of Insights: Gas Injection inSAG Foam Process
For foam model in this study, fractional-flowanalysis predicts shock to foam collapse no mobility control anywhere
Benchmark accuracy of simulators
Yet 2D simulations(incorrectly) showcontrol of gravityoverride, even asgrid refined
Tip-off wasinjectivity
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Example of Insights: Gas Injection in
SAG Foam Process Fractional-flow analysis predicts extremely high
mobility near well, where foam dries out and collapses
Therefore, get good injectivity and low mobility awayfrom well: perfect for overcoming gravity override
Verify with simulation
Insights improved designs
Example of Insights: UnderestimatedFoam Injectivity in Simulators In gas injection in SAG process, foam dries out and
collapses near injection well; this greatly increasesinjectivity
Simulators do not resolve near-well region well
Fractional-flow simulation allows resolution to arbitrary
accuracy (e.g., cm) Show huge errors in simulator injectivity
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Extensions to Two-Phase Fractional-
Flow Methods Consider local variation in Sw within shock
Three phases, many components (gets complicated!)
Non-uniform initial conditions, changing injection
Fingering (Koval theory)
Gravity (capillary-gravity equilibrium)
Layers differing in k, in capillary equilibrium
Compressible phases; phase changes (steam flooding)
Phase changes (steam flooding)
Non-uniform porous media, non-Newtonian fluids
Gravity segregation at steady state
Dynamic, non-s.s. processes Complex geochemical reactions with rock
Non-monotonic fw(Sw) functions and multiple steady states;capillary hysteresis
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Extensions: Local variations withinshock Shock is not really a dis-
continuity, but a sharp,continuous transition:
traveling wave.
Traveling wave isgoverned by balance be-tween convective forcessharpening the front anddispersive forces spreading it out
Entropy condition (rule that shock cant cut throughfw(Sw) curve) derives from analysis of traveling wave
Traveling wave sometimes changes behavior oflarge-scale displacement
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Extension: Three-phase flow
Muchmore complicatedthat two-phase fractional-flow theory; see Lake, etal. Enhanced OilRecovery, 1989 for intro.
Mathematicians are stillworking out basic proofsof solution validity
One key insight: Inmulticontact miscibility,
key is to have eithercrude oil or solventbeyond extended tie lineat plait point.
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Extension: Non-Newtonian two-phase flow
Characteristics are curved, but Sw still constant oneach characteristic
Construction of shocks complicated, but behind shocksone can solve forboth changing
saturation and non-Newtonian
rheologysimultaneously
Used to solve forinjectivity of non-Newtonian foam
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Extensions: Gravity segregation at
steady state A different two-variable problem: solve for Sw(x,z) at
steady state instead of Sw(x,t) in 1D
Need change of variable from z to stream function;lose some information about vertical position of fronts
Can solve for distance to complete segregation for co-injected gas and liquid at steady state
Insights led to focus on waysto improve injectivity of foam
Method can be extended to
nonuniform injection: e.g.,injection of gas above water
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Extensions: Dynamic, non local-steady-state processes; multiplesteady state Assume process is at local steady-state everywhere
but where conditions change rapidly in shocks
Analysis of traveling wave at shock must account fordynamics, non-steady-state processes within traveling
wave Can describe geochemical reactions, mass transfer
processes, foam dynamics
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Extensions to Two-Phase Fractional-
Flow Methods Consider local variation in Sw within shock
Three phases, many components (gets complicated!)
Non-uniform initial conditions, changing injection
Fingering (Koval theory)
Gravity (capillary-gravity equilibrium)
Layers differing in k, in capillary equilibrium
Compressible phases; phase changes (steam flooding)
Phase changes (steam flooding)
Non-uniform porous media, non-Newtonian fluids
Gravity segregation at steady state
Dynamic, non-s.s. processes Complex geochemical reactions with rock
Non-monotonic fw(Sw) functions and multiple steady states;capillary hysteresis