Summary of results to date B. Garitte and A. Gens 2nd DECOVALEX 2011 workshop, 20 th of October 2008, Wakkanai, Japan Dept. of Geotechnical Engineering.

Slides:



Advertisements
Similar presentations
Mass Transport of Pollutants
Advertisements

Design and Optimization of Molten Carbonate Fuel Cell Cathodes Bala S. Haran, Nalini Subramanian, Anand Durairajan, Hector Colonmer, Prabhu Ganesan, Ralph.
Modeling in Electrochemical Engineering
Modelling & Simulation of Chemical Engineering Systems
Lecture 2 Properties of Fluids Units and Dimensions.
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 2 Lecture 5 Conservation Principles: Momentum &
Conductivity Testing of Unsaturated Soils A Presentation to the Case Western Reserve University May 6, 2004 By Andrew G. Heydinger Department of Civil.
Multiphase and Reactive Flow Modelling BMEGEÁTMW07 K. G. Szabó Dept. of Hydraulic and Water Management Engineering, Faculty of Civil Engineering Spring.
Fluidyn FLOWCOAST FLOOIL 3D Fluid Dynamics Model to Simulate Oil slick movement in coastal waters or rivers FLOOIL.
Flow scheme of gas extraction from solids Chapter 3 Supercritical Fluid Extraction from Solids.
Ground-Water Flow and Solute Transport for the PHAST Simulator Ken Kipp and David Parkhurst.
Subsurface Air Flow Air is a fluid (but not a liquid) that behaves similarly to water We see pressure changes in the subsurface due to barometric pressure.
PERFORMANCE STUDIES OF TRICKLE BED REACTORS
Conservative and Reactive Solutes Conservative do not react with soil / groundwater Chloride is a good example Sorbed onto mineral grains as well as organic.
Introduction to the Ventilation Experiment (VE) and Task A B. Garitte and A. Gens (CIMNE – UPC) Dept. of Geotechnical Engineering and Geosciences TECHNICAL.
Atmospheric Analysis Lecture 3.
CE1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University,
Introduction to the Task A Task Force Meeting B. Garitte and A. Gens 2nd DECOVALEX 2011 workshop, 20 th of October 2008, Wakkanai, Japan Dept. of Geotechnical.
D2011 Project CEA-IRSN Results Alain MILLARD, Frédéric DELERUYELLE Wakkanai, Japan, October 20-23, 2008 Task A - STEPS 0/1.
University of South Carolina FCR Laboratory Dept. of Chemical Engineering By W. K. Lee, S. Shimpalee, J. Glandt and J. W. Van Zee Fuel Cell Research Laboratory.
Status report on Step1 of Task A, DECOVALEX-2011 modeling for Ventilation Experiment –modeling for Ventilation Experiment By Xiaoyan Liu, Chengyuan Zhang.
D2011 Project CEA-IRSN Results Alain MILLARD, Frédéric DELERUYELLE Gyeongju, Korea, April 20-23, 2009 Task A - STEPS 0/1.
Physical and Hydraulic Properties of Variably Saturated Media Goal: Retention and movement of fluids through porous media Will introduce the basic physical.
Current Status of CAS Team on Task A Step 0: Model Inception two-phase flowmodeling for the laboratory drying test – two-phase flow modeling for the laboratory.
Groundwater Hydraulics Daene C. McKinney
Introduction to Convection: Mass Transfer Chapter Six and Appendix E Sections 6.1 to 6.8 and E.4.
Diffusion Mass Transfer
Internal Flow: Mass Transfer Chapter 8 Section 8.9.
Thermal Analysis and Design of Cooling Towers
Solute (and Suspension) Transport in Porous Media
About EOS for Äspö granite Klaus-Peter Kröhn, GRS Joint meeting of the Task Forces EBS and GWFTS 28 th November 2012.
4. Phase Relations (Das, Chapter 3) Sections: All except 3.6
Evaporation Slides prepared by Daene C. McKinney and Venkatesh Merwade
Model of PEM Fuel Cell Cathode Sarah Hipple EGEE 520 May 3, 2007.
Molecular Transport Equations. Outline 1.Molecular Transport Equations 2.Viscosity of Fluids 3.Fluid Flow.
Calculating leaf wetness duration in an apple orchard Tor Håkon Sivertsen The Norwegian Crop Research Institute.
Kemerovo State University(Russia) Mathematical Modeling of Large Forest Fires Valeriy A. Perminov
Basic Laws of Gases and Particulates
Prepared by: Marcia C. Belcher Construction Engineering Technology.
Salt precipitation in porous media and multi-valued solutions G. G. Tsypkin Institute for Problems in Mechanics RAS, Moscow, Russia Petroleum engineering.
Soil Water Tension Department of Agricultural and Biological Engineering University of Illinois at Urbana-Champaign.
EVALUATION OF A FAST NUMERICAL SOLUTION OF THE 1D RICHARD’S EQUATION AND INCLUSION OF VEGETATION PROCESSES Varado N., Ross P.J., Braud I., Haverkamp R.,
Variably Saturated Flow and Transport: Sorbing Solute.
Effects of salinity on open soil evaporation processes M.Gran( 1 ), J.Massana( 1 ), J.Carrera( 1 ), M.W.Saaltink( 1 ), S.Olivella( 1 ), C.Ayora( 2 ), A.Lloret(
Geometry Group Summer 08 Series Toon Lenaerts, Bart Adams, and Philip Dutre Presented by Michael Su May
Two-Dimensional Mass and Momentum Transport Modeling for PEM Fuel Cells Chunmei Wang Po-Fu Shih Apr 29, 2008 EGEE 520 MATH MODELING.
Geotechnical Engineering
The Littoral Sedimentation and Optics Model (LSOM)
Soil Water Processes:Chapter 3 Learn how soil properties influence runoff, infiltration and plant growth. Learn how soil properties influence runoff, infiltration.
Numerical Simulations of Atmospheric Carbonation in Concrete Components of a Deep Geological Intermediate Low Level Waste Disposal NUCPERF 2012 P. Thouvenot.
Evapotranspiration Eric Peterson GEO Hydrology.
ON THE MODELING OF AN AIRLIFT PHOTOBIOREACTOR Christo Boyadjiev, Jose Merchuk Introduction Mathematical model Average concentration model Hierarchical.
Ch. 09: Liquids & Solids Vapor Pressure. Vapor = the gaseous state of a substance that has escaped from the liquid phase e.g., ½-filled cup of coffee:
Infiltration Equations Fundamental Mass Balance Equation: Darcy’s Law (z direction): Where.
Module 4b Absorbers. MCEN 4131/ Preliminaries VOC project assignment Project night this Thurs 5-6:30 Party Thurs Apr The Sink.
SHALE OIL EXTRACTION AND CO2 SEQUESTRATION BY A NOVEL METHOD OF HOT GAS INJECTION Michael Youtsos – Energy Group Cambridge University Engineering Department.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
Clemson Hydro Deformation of Solids. Clemson Hydro Tensile test.
Saturn Magnetosphere Plasma Model J. Yoshii, D. Shemansky, X. Liu SET-PSSD 06/26/11.
CONTAMINANT TRANSPORT MECHANISMS
Numerical Investigation of Flow Boiling in Double-layer Microchannel Heat Sink.
MAE 5310: COMBUSTION FUNDAMENTALS
3rd DECOVALEX 2011 workshop, 21th of April 2009, , Gyeongju, Korea
Hydrodynamics of slowly miscible liquids
Diffusion Mass Transfer
Modeling and experimental study of coupled porous/channel flow
Water in Soil Learning objectives
Mathematical modeling techniques in the engineering of landfill sites.
Topic 8 Water Vocabulary
What’s the MATTER!?!.
Presentation transcript:

Summary of results to date B. Garitte and A. Gens 2nd DECOVALEX 2011 workshop, 20 th of October 2008, Wakkanai, Japan Dept. of Geotechnical Engineering and Geosciences TECHNICAL UNIVERSITY OF CATALONIA (UPC)

Comparison of the modelling results

Schedule of Task A  Step 0: Identification of relevant processes and of Opalinus Clay parameters. Modelling of the laboratory drying test.  Step 1: Hydromechanical modelling up to the end of Phase 1.  Step 2: Hydromechanical modelling up to the end of Phase 2 using parameters backcalculated from step 1. Advanced features as permeability anisotropy, rock damage and permeability increase in the damaged zone may be considered.  Step 3: Hydromechanical and geochemical modelling of the full test. Conservative transport and one species considered.  Step 4: Hydromechanical and geochemical modelling of the full test. Reactive transport and full geochemical model (optional).

 (T)H(M) formulation  Parameters and constitutive equations  Model setup  Comparison of the modelling results  Summary of the mechanisms  Conclusions and discussion on future work Index

(T)H(M) formulation Variation of the water mass in a certain volume (variation of liquid density, gas density, water saturation, gas saturation and porosity) Main balance equation: water mass balance In- and outflux of water to/from that volume (flux of water in the liquid phase and flux of water in the gas phase) Source and sink terms CASCEAJAEAQuintessaUoE Energy balance Air mass balance Stress equilibrium

(T)H(M) formulation Variation of the water mass in a certain volume (variation of liquid density, gas density, water saturation, gas saturation and porosity) In- and outflux of water to/from that volume (flux of water in the liquid phase and flux of water in the gas phase) Source and sink terms CASCEAJAEAQuintessaUoE Main balance equation: water mass balance Energy balance Air mass balance Stress equilibrium

(T)H(M) formulation Variation of the water mass in a certain volume (variation of liquid density, gas density, water saturation, gas saturation and porosity) In- and outflux of water to/from that volume (flux of water in the liquid phase and flux of water in the gas phase) Source and sink terms CASCEAJAEAQuintessaUoE Main balance equation: water mass balance Energy balance Air mass balance Stress equilibrium

(T)H(M) formulation Variation of the water mass in a certain volume (variation of liquid density, gas density, water saturation, gas saturation and porosity) In- and outflux of water to/from that volume (flux of water in the liquid phase and flux of water in the gas phase) Source and sink terms CASCEAJAEAQuintessaUoE Main balance equation: water mass balance Energy balance Air mass balance Stress equilibrium

(T)H(M) formulation Variation of the water mass in a certain volume (variation of liquid density, gas density, water saturation, gas saturation and porosity) In- and outflux of water to/from that volume (flux of water in the liquid phase and flux of water in the gas phase) Source and sink terms CASCEAJAEAQuintessaUoE Energy balance Air mass balance Main balance equation: water mass balance Stress equilibrium CASCEAJAEAQuintessaUoE CASCEAJAEAQuintessaUoE CASCEAJAEAQuintessaUoE

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 –

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van GenuchtenBishop effective stress

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Parameters and constitutive equations CASCEAJAEAQuint.UoE Physical Solid grain densityρ s [kg/m3] Porosityφ Hydraulic Intrinsic permeabilityk [m2] 7.5E-202E E-191.9E-20 Dynamic viscosityμ [Pa.s]1E-52.9E-4 Liquid relative permeabilityλ’ Vapour diffusion coefficient 6E-6 5E-6 Mechanical Young modulusE [GPa] Poisson coefficientν Friction angleφ [º] Cohesionc [MPa] Hydro-Mech. coupling Suction bulk modulusK s [GPa] Air entry value (retention curve)P 0 [MPa] Shape parameter (retention curve)λ Maximum suction (retention curve)*P s [MPa]700 Second shape parameter (retention curve)*λsλs 2.73 Residual and maximum saturation (retention curve)S rl – S rs 0 – * Modified Van Genuchten

Model setup 10cm 28cm 1D No flux Evaporation is the process by which molecules in a liquid state (e.g. water) spontaneously become gaseous (e.g. water vapour) Relative Humidity is a measurement of the amount of water vapour that exists in a gaseous mixture of air and water Psychrometric law

Model setup CASCEAJAEAQuintessaUoE Relative humidity [%] 20% 50% 30%

Model setup CASCEAJAEAQuintessaUoE Relative humidity [%] 20% 50% 30% Psychrometric law Suction Consequences:  water outflow under liquid form  fixed degree of saturation on boundary

Model setup CASCEAJAEAQuintessaUoE Relative humidity [%] 20% 50% 30% Relative Humidity Consequences:  Evaporation boundary condition  Possibility to take the rock-air interface, wind velocity, etc into account (β coefficient). Comparison with free water surface evaporation.

Comparison of the modelling results CASCEAJAEAQuintessaUoE 21 days

Comparison of the modelling results CASCEAJAEAQuintessaUoE 99 days

Comparison of the modelling results CASCEAJAEAQuintessaUoE 142 days

Comparison of the modelling results CASCEAJAEAQuintessaUoE

Summary of the mechanisms Evaporation Desaturation Reduction of the permeability Dominant water transport mode: vapour diffusion in the gas phase (non advective) Dominant water transport mode: Darcy flow in the liquid phase (advective)

Summary of the mechanisms Quintessa

Summary of the mechanisms Quintessa

Conclusions and future work  Objectives of step 0 are fulfilled:  Brainstorming about theoretical formulations to be used in Task A  Determination of a set of parameters for Opalinus Clay  Reproduction of a laboratory drying experiment (Floria et al, 2002)  Step 0 (second iteration): optional  Start of step 1 (defined in Oxford and in TaskA_description.doc)  Improvement of the models (diffusive flux of vapour and boundary condition)  Advised common parameters (retention curve, porosity,…)