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Finite-Element-Based Characterisation of Pore-scale Geometry and its Impact on Fluid Flow. Lateef Akanji Supervisors Prof. Martin Blunt Prof. Stephan Matthai. Outline. Research Objectives Development of Single-phase Pore-scale Formulation and Numerical Model
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Finite-Element-Based Characterisation of Pore-scale Geometry and its Impact on Fluid Flow Lateef Akanji Supervisors Prof. Martin Blunt Prof. Stephan Matthai
Outline • Research Objectives • Development of Single-phase Pore-scale Formulation and Numerical Model • Workflow and Model Verification • Validation: Application to Porous Media
Research Objectives • To characterize pore-scale geometries and derive the constitutive relationship governing single and multiphase flow through them • To contribute to a better understanding of the physics of fluid flow in porous media based on first principle numerical approach • To investigate the dependency of fluid flow on the pore geometry which is usually neglected on the continuum scale • To develop a constitutive relationship which allows a more rigorous assessment of fluid flow behavior with implications for the larger scale
Outline • Research Objectives • Development of Single-phase Pore-scale Formulation and Numerical Model • Workflow and Model Verification • Validation: Application to Porous Media
Development of Single-phase Pore-scale Formulation and Numerical Model (1/2) The general p.d.e. governing fluid flow at pore scale is given by the Navier – Stokes equations as: For an incompressible fluid conservation of mass takes the form For a steady-state system, the substantial time derivative goes to zero i.e. For slow laminar viscous flow with small Reynold’s number, the advective acceleration term drops out and we have the linear Stokes equations:
fluid pressure, P μ u Dependent variables are placed at the nodes. Development of Single-phase Pore-scale Formulation and Numerical Model (2/2) FEM discretisation and solution sequence Define a function that obeys: Step 1: We solve Poisson’s equation for with homogeneous b.c. Step 2: We compute the pressure field using – this ensures that Since we define the velocity by: tetrahedron
Outline • Research Objectives • Development of Single-phase Pore-scale Formulation and Numerical Model • Workflow and Model Verification • Validation: Application to Porous Media
Porosity Pore Volume / (Grain Volume + Pore Volume) Model Verification, Step1: Porosity (2/7)
GRAIN 3.35 µm 3.35 µm PORES Pore Radius (μm) 0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Model Verification, Step2: Pore Radius Computation (3/7) Pore radii Derivative of f(x,y)
Model Verification, Step3: Pore Velocity (4/7) Placement of 7 FEM Placement of 14 FEM Placement of 21 FEM
Model Verification, Step3: Pore Velocity (5/7) Error analysis
Model Verification, Step3: Pore Velocity (6/7) Velocity (µms-1)
Outline • Research Objectives • Development of Single-phase Pore-scale Formulation and Numerical Model • Workflow and Model Verification • Validation: Application to Porous Media (Results)
simulation thresholding meshing 4.5mm CAD Micro-CT scan Hybrid mesh Velocity profile Velocity (x 10-5 ms-1) 0.0 2.0 4 .0 6.0 8.0 10.0 12.0 14.0 Velocity (x 10-5 ms-1) 0 2 4 6 8 10 12 14 Application to Porous Media (2/10) Sample I: Ottawa sandstone (Talabi et al., SPE 2008)
Pore Radius (μm) 0 10 20 30 40 50 60 70 80 Pore Radius (μm) 0 10 20 30 40 50 60 70 80 (3/10) Application to Porous Media Pore radius distribution Ottawa Sandstone Sombrero beach carbonate LV60 Sandstone
(4/10) Application to Porous Media Computed versus Measured Permeability 3D Lab Expt 2D Num. Simulation Ottawa sand Dimension (mm) 4.5 x 4.5 x 4.5 4.5 x 4.5 Porosity (%) 35 39 Permeability (D) 45 31 LV60 sand Dimension (mm) 4.1 x 4.1 x 4.1 4.1 x 4.1 Porosity (%) 37 40 Permeability (D) 40 29 Sombrero beach carbonate sand Dimension (mm) - 4.5 x 4.5 Porosity (%) - 36 Permeability (D) - 28
3D Granular Packs (6/10) Xavier Garcia
3D Granular Packs (7/10) CAD geometry Fluid Pressure
(8/10) Sample 1 Φ= 32.3 Φ= 33.52 Φ= 35.80 2.4 mm Φ= 38.43 Φ= 37.02
(9/10) Sample 2 Φ= 32.43 Φ= 33.52 Φ= 35.57 Does the detail really matter? 2.4 mm Φ= 37.63 Φ= 36.81
(10/10) Permeability versus Porosity X 10 -5
Single-phase Advection in Porous Media (1/2) Ottawa
Single-phase Advection in Porous Media (2/2) LT-M
Conclusions (1/1) • I have presented a Finite-Element-Based numerical simulation work flow showing pore scale geometry description and flow dynamics based on first principle • This is achieved by carrying out several numerical simulation on micro-CT scan, photomicrograph and synthetic granular pack of pore scale model samples • In order to accurately model fluid flow in porous media, the φ, r, pc, k distribution must be adequately captured
Future work (1/1) • Two-phase flow with interface tracking testing for snap-off and phase trapping using level set method (Masa Prodanovic – University of Texas @ Austin) • Investigate dispersion in porous media (Branko Bijeljic) drainage imbibition Capturing snap-off during imbibition Courtesy: (Masa Prodanovic – University of Texas @ Austin) Courtesy: (Masa Prodanovic – University of Texas @ Austin)
PTDFNigeria CSMP++ Group Acknowledgements