Modeling and simulation of deformable porous media Jan Martin Nordbotten Department of Mathematics, University of Bergen, Norway Department of Civil and.

Slides:



Advertisements
Similar presentations
Compatible Spatial Discretizations for Partial Differential Equations May 14, 2004 Compatible Reconstruction of Vectors Blair Perot Dept. of Mechanical.
Advertisements

1 A new iterative technique for solving nonlinear coupled equations arising from nuclear waste transport processes H. HOTEIT 1,2, Ph. ACKERER 2, R. MOSE.
Continuity Equation. Continuity Equation Continuity Equation Net outflow in x direction.
By Paul Delgado. Motivation Flow-Deformation Equations Discretization Operator Splitting Multiphysics Coupling Fixed State Splitting Other Splitting Conclusions.
Algorithm Development for the Full Two-Fluid Plasma System
1 FEM study of the faults activation Technische Universität München Joint Advanced Student School (JASS) St. Petersburg Polytechnical University Author:
Lawrence Livermore National Laboratory Lawrence Livermore National Laboratory, P. O. Box 808, Livermore, CA This work performed under the auspices.
Design Constraints for Liquid-Protected Divertors S. Shin, S. I. Abdel-Khalik, M. Yoda and ARIES Team G. W. Woodruff School of Mechanical Engineering Atlanta,
LOCALIZATION OF SEDIMENTARY ROCKS DURING DUCTILE FOLDING PROCESSES Pablo F. Sanz and Ronaldo I. Borja Department of Civil and Environmental Engineering.
Generalization of Heterogeneous Multiscale Models: Coupling discrete microscale and continuous macroscale representations of physical laws in porous media.
1 指導教授 : 陳瑞昇、董家鈞 老師 學生 : 楊慶中 日期 : International Journal of Rock Mechanics & Mining Sciences 39 (2002) J. Rutqvist,Y.-S. Wu, C.-F Tsang,
Ground-Water Flow and Solute Transport for the PHAST Simulator Ken Kipp and David Parkhurst.
Enhanced Oil Recovery using Coupled Electromagnetics and Flow Modelling INTRODUCTION Enhanced Oil Recovery (EOR) is a process in which gas or fluid is.
Coupling Continuum Model and Smoothed Particle Hydrodynamics Methods for Reactive Transport Yilin Fang, Timothy D Scheibe and Alexandre M Tartakovsky Pacific.
VARIATIONAL FORMULATION OF THE STRAIN LOCALIZATION PHENOMENON GUSTAVO AYALA.
Peyman Mostaghimi, Prof. Martin Blunt, Dr. Branko Bijeljic 16 January 2009, Imperial College Consortium on Pore-Scale Modelling The level set method and.
A NEW ORIGINAL UNCODITIONALY STABLE MIXED FINITE ELEMENT APPROACH IN TRANSIENT HEAT ANALYSIS WITHOUT DIMENSIONAL REDUCTION Dubravka Mijuca, Bojan Medjo.
Multilevel Incomplete Factorizations for Non-Linear FE problems in Geomechanics DMMMSA – University of Padova Department of Mathematical Methods and Models.
Coupled Fluid-Structural Solver CFD incompressible flow solver has been coupled with a FEA code to analyze dynamic fluid-structure coupling phenomena CFD.
IMA Workshop on Compatible Discretizations
Peyman Mostaghimi, Martin Blunt, Branko Bijeljic 11 th January 2010, Pore-scale project meeting Direct Numerical Simulation of Transport Phenomena on Pore-space.
1 Internal Seminar, November 14 th Effects of non conformal mesh on LES S. Rolfo The University of Manchester, M60 1QD, UK School of Mechanical,
FEM and X-FEM in Continuum Mechanics Joint Advanced Student School (JASS) 2006, St. Petersburg, Numerical Simulation, 3. April 2006 State University St.
Multi-Scale Finite-Volume (MSFV) method for elliptic problems Subsurface flow simulation Mark van Kraaij, CASA Seminar Wednesday 13 April 2005.
Status report on Step1 of Task A, DECOVALEX-2011 modeling for Ventilation Experiment –modeling for Ventilation Experiment By Xiaoyan Liu, Chengyuan Zhang.
Temperature Gradient Limits for Liquid-Protected Divertors S. I. Abdel-Khalik, S. Shin, and M. Yoda ARIES Meeting (June 2004) G. W. Woodruff School of.
ECIV 720 A Advanced Structural Mechanics and Analysis
Mathematics of non-Darcy CO 2 injection into saline aquifers Ana Mijic Imperial College London Department of Civil and Environmental Engineering PMPM Research.
MCE 561 Computational Methods in Solid Mechanics
By Paul Delgado Advisor – Dr. Vinod Kumar Co-Advisor – Dr. Son Young Yi.
Department of Aerospace and Mechanical Engineering A one-field discontinuous Galerkin formulation of non-linear Kirchhoff-Love shells Ludovic Noels Computational.
Tutorial 5: Numerical methods - buildings Q1. Identify three principal differences between a response function method and a numerical method when both.
Lecture Objectives Review SIMPLE CFD Algorithm SIMPLE Semi-Implicit Method for Pressure-Linked Equations Define Residual and Relaxation.
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 2 Lecture 4 Conservation Principles: Mass Conservation.
Section 2: Finite Element Analysis Theory
Deformable Models Segmentation methods until now (no knowledge of shape: Thresholding Edge based Region based Deformable models Knowledge of the shape.
Page 1 JASS 2004 Tobias Weinzierl Sophisticated construction ideas of ansatz- spaces How to construct Ritz-Galerkin ansatz-spaces for the Navier-Stokes.
A conservative FE-discretisation of the Navier-Stokes equation JASS 2005, St. Petersburg Thomas Satzger.
A Unified Lagrangian Approach to Solid-Fluid Animation Richard Keiser, Bart Adams, Dominique Gasser, Paolo Bazzi, Philip Dutré, Markus Gross.
1 LES of Turbulent Flows: Lecture 12 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
1 LES of Turbulent Flows: Lecture 6 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Discontinuous Galerkin Methods Li, Yang FerienAkademie 2008.
Discontinuous Galerkin Methods for Solving Euler Equations Andrey Andreyev Advisor: James Baeder Mid.
Modeling of Rock Structure Changes due to Stress Induced by CO 2 Sequestration EGEE 520 – 2007 Denis Pone.
Lecture Objectives: Explicit vs. Implicit Residual, Stability, Relaxation Simple algorithm.
1 Numerical simulation software LinkFEA Iris Summer Academy 2011 Mengxi WU Institue of Mechanics,CAS 04\09\2011 (WP4)
Mathematical Background
PI: Prof. Nicholas Zabaras Participating student: Swagato Acharjee Materials Process Design and Control Laboratory, Cornell University Robust design and.
© Fluent Inc. 11/24/2015J1 Fluids Review TRN Overview of CFD Solution Methodologies.
© IFP Controlled CO 2 | Diversified fuels | Fuel-efficient vehicles | Clean refining | Extended reserves Écrire ici dans le masque le nom de votre Direction.
Lecture Objectives Review Define Residual and Relaxation SIMPLE CFD Algorithm SIMPLE Semi-Implicit Method for Pressure-Linked Equations.
HEAT TRANSFER FINITE ELEMENT FORMULATION
High performance computing for Darcy compositional single phase fluid flow simulations L.Agélas, I.Faille, S.Wolf, S.Réquena Institut Français du Pétrole.
Discretization Methods Chapter 2. Training Manual May 15, 2001 Inventory # Discretization Methods Topics Equations and The Goal Brief overview.
1 IV European Conference of Computational Mechanics Hrvoje Gotovac, Veljko Srzić, Tonći Radelja, Vedrana Kozulić Hrvoje Gotovac, Veljko Srzić, Tonći Radelja,
A New Discontinuous Galerkin Formulation for Kirchhoff-Love Shells
February 13-15, 2006 Hydromechanical modeling of fractured crystalline reservoirs hydraulically stimulated S. Gentier*, X. Rachez**, A. Blaisonneau*,
Transient Two-dimensional Modeling in a Porous Environment Unsaturated- saturated Flows H. LEMACHA 1, A. MASLOUHI 1, Z. MGHAZLI 2, M. RAZACK 3 1 Laboratory.
CO 2 maîtrisé | Carburants diversifiés | Véhicules économes | Raffinage propre | Réserves prolongées © IFP Écrire ici dans le masque le nom de votre Direction.
M. Khalili1, M. Larsson2, B. Müller1
Variational formulation of the FEM Principle of Stationary Potential Energy: Among all admissible displacement functions u, the actual ones are those which.
1 Mary F. Wheeler 1, Sanghyun Lee 1 With Nicholas Hayman 2, Jacqueline Reber 3, Thomas Wick 4 1 Center for Subsurface Modeling, University of Texas at.
FEA Introduction.
Impact of Flowing Formation Water on Residual CO2 Saturations
Materials Science & Engineering University of Michigan
University of Liège Department of Aerospace and Mechanical Engineering
Objective Numerical methods Finite volume.
Continuous Systems and Fields
Comparison of CFEM and DG methods
Conservative Dynamical Core (CDC)
Presentation transcript:

Modeling and simulation of deformable porous media Jan Martin Nordbotten Department of Mathematics, University of Bergen, Norway Department of Civil and Environmental Engineering, Princeton University, USA VISTA – Norwegian Academy of Sciences and Letters and Statoil ASA

Overview Motivating examples and Biot’s equations Hybrid variational finite volume discretization Applications

Motivating examples Soil Desiccation Multi-phase flow in porous materials Fractured/ing rock K. DeCarlo F. Doster Image processing E. Hodneland

Linearized Biot equations

Qualities of «good» discretizations Minimum number of degrees of freedom. Weak limitations on admissible grids. Stable in all physically relevant limits. Preserves physical conservation principles. Handles jumps in coefficients accurately. Supported by rigorous analysis.

Engineering preference for grids Unstructured grids minimize grid orientation effects for flow equations. High aspect ratio grids adapt to geological heterogenity.

A resolution of these properties Cell-centered co-located displacement and pressure variables. Finite volume structure balancing mass and momentum. Constitutive laws approximated by multipoint flux and stress approximations. Analysis via links to discrete functional framework and discontinuous Galerkin.

Common challenge

Implication Straight-forward discretizations with co-located equal-order elements are in general not robust.

Standard finite elements Haga, Osnes, Langtangen, 2012.

Standard solutions Staggered variables (e.g. RT0 + P0 for flow). Enriched spaces (e.g. MINI + P1 for Biot). Macro-elements (elasticity,...) Artificial stabilization (Brezzi-Pitkaranta, Gaspar, etc.) Bubbles/VMS (Hughes, Quarteroni, Zikatanov...) Here: Coupled discretization can be related to many of the preceding ideas.

Hybrid variational FV

Review: HVFV (MPFA)

Interpretation

VMS re-formulation

Elimination of face unknowns

HVFV for Biot

Important details

Elimination of face unknowns

Global Biot system

Main result

Comment on elasticity

Numerical verification: Convergence

Validations: Rough grids (elasticity)

Applications: Governing equations

Constitutive laws

Application: CO2 storage Non-linear multi-component system of conservation equations for two fluids. Linear elasticity. System resolved using generalized ImPEM with Full Pressure Coupling (FPS). Key Idea: Pressure and displacement solved fully coupled and implicitly, mass transport explicitly. Joint work with Florian Doster.

Rise of injected CO2 X component Z component 3 cm - 1 cm 0 cm 6 cm - 4 cm 0 cm CO2 saturation Sketch of setup

Application: Soil fracturing Non-linear, saturation-dependent soil (clay) properties, including significant shrinking. Heterogeneous soil saturation introduces mechanical stresses. Tensile soil failure and fracture evolution according to Griffith’s criterium. Field data with bioturbation: Elephants (external load) and termites (soil cohesion). Joint work with Keita DeCarlo and Kelly Caylor.

Preliminary results

Conclusions We have presented a hybrid variational FV framework and formulated a cell-centered discretization for Biot. The formulation builds on previous work for Darcy flow (MPFA) and elasticity (MPSA) The discretization has the advantages that it: – Is locally mass and momentum conservative – Can be applied to arbitrary grids – Has explicitly provides local expressions for flux and traction – Has co-located variables allowing for minimum degrees of freedom – Is stable without relying on any arbitrary stabilization parameters The discretization has been applied to a wide range of grids and problems in 2D and 3D to verify the practical applicability. Ongoing work on finite volume methods with weak symmetry – both in the HVFV framework and MFEM with quadrature.

Some references Nordbotten, J. M. (2014), Finite volume hydro-mechanical simulation of porous media, Water Resources Research, 50(5), , doi: /2013WR Nordbotten, J. M. (2014), Cell-centered finite volume methods for deformable porous media, International Journal for Numerical Methods in Engineering, 100(6), , doi: /nme Nordbotten, J. M., Convergence of a cell-centered finite volume method for linear elasticity, preprint: Nordbotten, J. M., Stable cell-centered finite volume discretization for Biot’s equations, submitted.