3109.9/PMO/83/08i A E,26 1383 - 1 - DJFehringer Management ... · The Integrated Finite Difference...
Transcript of 3109.9/PMO/83/08i A E,26 1383 - 1 - DJFehringer Management ... · The Integrated Finite Difference...
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3109.9/PMO/83/08i
MEMORANDUM FOR:
FROM:
'25/0 A E,26 1383- 1 -
Di stri buti on.:.,_WM file: AO9.9 & 3001.4/WMHL r/f'--NMSS r/fREBrowningMJBellDJFehringer
HJMillerJOBuntingPSJustusJTGreevesPDRJCorrado w/o enclSCoplanMWeber w/o endMJGordon w/o endWM-11
Daniel J. FehringerHigh-Level Waste LicensingManagement Branch
Division of Waste Management
Peter M. OrnsteinHigh-Level Waste LicensingManagement Branch
Division of Waste Management
SUBJECT: LBL TRIP REPORT
On August 17-19, 1983, M. Gordon, M. Weber, and P. Ornstein attended aworkshop on the variably-saturated non-isothermal computer code TOUGH atthe Lawrence Berkeley Laboratory in Berkeley, California. The purpose ofthe workshop was for NRC staff to aquire a working knowledge of TOUGH inanticipation of LBL's transfer of the code to NRC in mid September. Theworkshop agenda and workshop notes are attached.
The TOUGH code has potential to be an important tool for simulating thegroundwater flow for the performance assessment of repositories in eithersaturated or unsaturated regimes. One of TOUGH's most importantdistinctions from other variably-saturated groundwater codes is itsability to account for the latent effects of heat (i.e., evaporation andcondensation). TOUGH also has the ability to simulate flow throughdiscretely fractured rock, although the results of such simulations,particularly in unsaturated fractured rocks, need to be validated againstfield studies.
During the workshop, several practice problems were exercised with TOUGH.These problems ranged from simple 1-D to complex 3-D geometries andtested the variably-saturated non-isothermal aspects of the code. Theproblems included two unsaturated flow benchmark problems (4.1 and 4.2 ofNUREG/CR-3907), a geothermal benchmark problem (Garge, 1978), a fractureflow problem compared against a semi-analytic solution (Moench, 1980), aheat generating waste canister problem, and several other problemsdeveloped by NRC staff at the workshop. The waste canister problem wasof special interest in that it highlighted the importance of capillarypressure and relative permeability functions in the creation of a dryzone around a heat generating canister. WM Record File
Docket No. _
LPDROFC W?8IA : : Distribution- LPDR______
NAME :Phornstein:lem :: ----- -- : :___.______._______._______._____---------------- --------- ve--u---------- . -3---- ---DATE :8/2f/83
PDR1 WASTE'
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AUG 2 IW33109.9/PMO/83/08/25/0- 2 -
TOUGH's primary limitation, a limitation imposed by the storageallocation of the CDC 7600, is the grid block restriction toapproximately 500 elements. With the numerical method used and thesimultaneous solution of three nonlinear equations (i.e., for air, water,and heat) in all grid elements, the CDC core storage available issubstantially consumed. The Integrated Finite Difference numericalmethod used allows for a great deal of flexibility (and creativity) insetting up the element grid but also neccessitates the use ofpreprocessors for creating the input deck when irregular geometries aredesired.
In summary, the TOUGH code will enable the NRC to evaluate thegroundwater flow around a repository located in the unsaturated zone anddevelop insight into the key parameters governing such flow. A magnetictape containing the TOUGH code, workshop sample problem input, andseveral LBL preprocessors for TOUGH will be hand delivered to the NRC byChin Fu Tsang (LBL) in mid-September.
~ .Peter M. OrnsteinHigh-Level Waste LicensingManagement Branch
Division of Waste Management
OFC :WMHL :
NAME :PMOrnstein:lem
DATE :8/ /83 :
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NUMERICAL SIMULATION OF FLUID ANDHEAT FLOW IN PARTIALLY SATURATED MEDIA
A workshop for Nuclear Regulatory Commission staff on theory and applicationof the computer code "TOUGH" (transport of unsaturated Iroundwaterand heat).
Date: August 17-19, 1983
Location:
Instructor:
Lawrence Berkeley LaboratoryBerkeley, CA 94720
K. Pruess
Wednesday, August 17, 1983
8:00-12:00 THEORETICAL FORMULATION OF THE TRANSPORT MODEL
Introduction; outline of workshop; overviewof handout materials
Background: the "conventional" approach tosaturated-unsaturated flow (T.N. Narasimhan)
Conceptualization of "strongly heat-drivenproblems"; basic approach; mathematicalexpressions for mass and heat fluxes
Basic balance equations in integralform; space discretization: the methodof *integral finite differences"; timediscretization; "primary" and "secondary"parameters; characterization of governingequations
Thermophysical properties of water-vapor-air mixtures; equation-of-state package(EOS); phase transitions
Geometrical parameters:construction; the methodcontinua
mesh (grid)of multiple interacting
Approximations and open problems
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-- v A' I
1:00-5:00
8:00-12:00
1:00-5:00
8:00-12:00
1:00-4:00
NUMERICAL METHODOLOGY AND STRUCTURE OF CODE
Numerical solution technique
Architecture and flow chart ofTOUGH
Description of subroutine functions
TOUGH input structure, programoptions
Program output
Thursday, August 18, 1983
SOLVING FLOW PROBLEMS WITH TOUGH
Overview of sample problems; codecapabilities and verification
First sample problem: problem statement,preparation of input deck; program execution;evaluation of results; variations and sensi-tivity
SAMPLE PROBLEMS (continued) h i1
Friday, August 19, 1983
SAMPLE PROBLEMS (Continued)
SAMPLE PROBLEMS (Continued)
4:00-5:00 SUMMARY AND WRAP-UP
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LIST OF HANDOUT MATERIALS
(1) Copies of viewgraphs
(2) Writeup: TOUGH input structure
(3) Tabular summary of TOUGH input
(4) K. Pruess, Development of the General Purpose SimulatorMULKOM, article from Earth Sciences Division AnnualReport 1982
(5) K. Pruess, GMINC - A Mesh Generator for Flow Simulations inFractured Reservoirs, Lawrence Berkeley Laboratory ReportLBL-15227, March 1983
(6) Letter from S. Marlow of AERE Harwell, England, toM. Lippmann, LBL, regarding proprietary subroutinepackage NMA28'
(7) Source code listing of program TOUGH
(8) Printed output for sample problems
(9) Catalog of relative permeability and capillary pressure functions
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I. ,
MODELING UNSATURATED FLOW IN POROUS OR FRACTURED MEDIA
CONVENTIONAL APPROACH
* isothermal
* gaseous phase not treated (passive spectator)
* liquid phase flows under gravity and capillary suction
(Richards' law, 1931)
NON-ISOTHERMAL TREATMENT
(Philip and de Vries, 1957; Milly, 1982)
* moisture can migrate as liquid or vapor
* liquid transport occurs by gravity, capillary suction, and
gradients in heat of wetting
* vapor migrates by molecular diffusion
* no overall movement of gaseous phase
* mass transport is coupled to heat transport
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I V , %
HIGH-LEVEL NUCLEAR WASTE STORAGE IN
UNSATURATED FRACTURED ROCK
* thermal effects may be large
* near canisters, absolute temperature may almost double
(from ambient 300K to near 600K)
* ideal gas law pV = nRT predicts large increase in pressures and/or
volume of gaseous phase
* expect strong forced convection of gaseous phase from thermal
expansion
Therefore:
* need to fully account for movement of gaseous and liquid phases
A, * multi-phase, multi-component approach
Components: water air heat
Phases: liquid X X X
gas X X X
solid X
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I.. . % ,
MASS FLUX
Convective flux in phase 8 (liquid, gas)
k
a =- k V po ( VP" - Po g )
Compare with Philip and de Vries (after Milly)
E = - Pt K V (* + z)
(z positive upward)
-4.
use g = -g V z
a
P + PUp1 g V ( Cape )
PIgV PI E V (P + Pcap,t)
k kP1 ( k-.Lp g )
P + PcapPI g
+ z )
so that K -kkt P 1 g
t = . cIa p
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: V
MASS FLUX (continued)
:; t. I.-
flux in component K (water, air)
FK = X(<) F
t a a -f
total flux for component Kc
F )=O =Lt, g Fe K)-a
.
1'._ .,;:
Ice
diffusion in gas phase
F K - DV4-g
p(K)
B(= -D V pa)
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I
G -- K V T
- k *1
OXI,g
-D h V pV
I .
1h p ( VPB PB 9 )* II ap
I . -
Ir .I .. ..
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I~ *. V. .
MASS ACCUMULATION (K=1,2)S p
I .. '
M(K)NPH
= , .x841
(K=a3)HEAT ACCUMULATION
M()= (1-0)Pr Cr T
NPH+ , .1
8=1sa Pa 8
L.A
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BASIC BALANCE EQUATION
d
VnM( K)dv = |
rn
F( K) * n dr + J q( K)dvV n
to discretize,. introduce volume and surface averages
I xdv E XVV n nn
I F - n dr = £m
Anm Fnm
A
a
,. IA
with
F(K)rl
M( IC)= I
nPi
- vn - P~
Dnm
i..
. , . .
I. - ,, _
'or
- PLP 9f 6,m - nD nm 0-1
A&
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SPACE DISCRETIZATION
* The entire geometric information of the space
discretization is provided in the form of a list
of volume elements Vn, interface areas Anm, nodal
stances Dnm, and components gnm Of gravitational
acceleration along nodal lines: (Vn, Anmi Dnms gnm).
* The discretized equations are valid for arbitrary
discretizations, and for fractured or porous media.
3) Solutions can be obtained only if the partitioning of
a flow domain into volume elements is suitably restricted
on the basis of geometric and thermodynamic considerations.
* Need to be able to relate mass and heat flow between
volume elements to the accumulation of mass and heat
b within volume elements.
* Require approximate thermodynamic equilibrium in all
volume elements at all times.
Re~~oR4,v~hI Ze - rA 1P
_Ptf -to He kw
'7(A 1
-P.'cV '544 eroztr
4, C;72>et antSrct
cCIst6
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TIME DISCRETIZATION
M(K),k+1 M(I),k
v n nA I A1.g F(O:) ,k+n a t m nm nm
8 = 0 "explicit"
6 = 0.5 "Crank-Nicholson"
<e = 1 "fully implicit" I
e+ v q k
t-
J . ..'
. :* ,4>- pCASrdc
Ly~xw Lv', cr t$+ u..4
<>~w fdat
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t
I
GRID CONSTRUCTION
(Vn Anm, Dnmq 9nm)
1. regular grids: compute basic parameters by
hand, use internal grid generating capabilities
of TOUGH
2. pre-processor programs for regularly shaped
flow domains
3. irregular flow domains: OGRE
4. fractured media: GMINC
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"PRIMARY" and "SECONDARY" PARAMETERS (variables)
- accumulation- and flux-terms depend on a number of
Othermophysical" parameters (pressure, temperature,
phase saturations, component mass fractions, viscosities,
densities, ... )
- for systems in (local) thermodynamic equilibrium,
there is a certain minimum number of parameters which
unambiguously specify the state of the system; all other
parameters can be expressed as functions of these "primary"
parameters (also known as *independent variables")
- for water/air/heat there are three primary variables,
the exact nature of which depends on the phase composition
(example: in the gaseous state -- no liquid -- we can
specify P, T, Pa (or X) )
- for a flow system with N grid blocks, there are 3 * N
independent (primary) variables
- the discretized balance equations constitute a set of 3 * N
non-linear, implicit, algebraic equations for the primary
variables
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THERMOPHYSICAL PROPERTIES PACKAGE (EOS)
1. choose appropriate primary variables for the
different phase situations which may arise
2. recognize appearance and disappearance of phases
from the primary variables, and uswitch" them
appropriately
3. obtain all "secondary" parameters as functions of
the primary variables.
L- )I~tk c& tb DIt Ih/Ve7"(//~q
0'I$-..4LC? V~or~rry
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PRIMARY VARIABLES
Components - water air water and air
Phases
gas P, T. X P, T. X P, T. X
liquid P, Tv X /. P. T. X
two-phase P, S, T /. P, S, T
P - PRESSURE
T - TEMPERATURE
X - AIR MASS FRACTION
S - GAS PHASE SATURATION
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SECONDARY PARAMETERS
parameters meaning (units)
So . saturation of phase 8 (dimensionless) Vat'^ r-.4
ko relative permeability (dimensionless)
Ila viscosity (Pa-s)
po density (kg/m 3)
ho specific enthalpy (J/kg)
PO pressure (Pa; Po = P + PCO includes capillary pressure PCO)
X(K) mass fraction of component K in phase 8 (dimensionless)
T temperature (OC) A, 3
K heat conductivity (W/m0C) r Otic-l! (
eesr s 0
)<AF -(9)d/ .K -S
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-I~~~~~~~~~~~~~~~i-
BASIC THERMODYNAMIC RELATIONSHIP S__
V
liquid phase: Steam table equations (Internatioa
Formulation Commtittee, 1967)
gas phase:
vapor - IFC, 1967
air - ideal gas law
a :- RT
gas phase pressure P= P + Pa v
density pg Z a +P
air mass fraction X m t p 1pag
I' :~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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INITIALIZATION
X1 - P. pressure (Pa)
X2 T. tempera Y e (64- single-phase)
S. gas saturation (two-phase)
X3 _ X, air ma ff raction (single phase)
T. tempera ure (66; two-phase)
X2 > 1.5 X2 c 1.5
P. T, X
Pa = Pa (T,X)
Psmax ' Psat (T)
g,nmax a s,max
P > P :max liquid
P < Pg,max: gas
P, S, T
P5 Psat (T)
PS C Ps (T, PS)
Pa = P - P S
Pa = Pa (T, Pa)
X = Pa/(Pa + Ps)
II ,> A m o :tM e, I C CL .-
to ON- l I.0
p(A5- 11Mvu'ri LA!
5=%
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PHASE TRANSITIONS
I. liquid + two-phase
PaK * KH KH(T)
Ps = Psat (T)
Pg = Pa + Ps - qx7
P > Pg "no"
P c P yesu
II. gas + two-phase
P5 - Ps (P,T,X)
Ps < Psat (T) 0no"
Ps ) Psat (T) uyes"
iII. two-phase + liquid
S ( 0 "yesm (liquid)
o < s < 1 "no"
S > 1 "yes" (gas)
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APPRQXIMhATIftj
Flux ter..,- overall diffus ion Of gaseous
phase
- liquid flux doLu 'bP atd Pa
At
Thermo hy5i a1p o e t e
diffusion coefficient
C Vapor Pressure lowering
due
h ys t e r e s i s
O f r e l a t iv e
term ay i
ad s orp tr son
-ideal
gas law~ for air
dCpllr rse
Ideal gas ~Permeability
and alarPese
Mixing rules for air and
caaloa
-thermal
conlductivity o
s k-qzge b-e
Y, of Partially saturated
rocks
el evi K e q
T Q p j
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S. saturation
0
* 1 S
3N
4,1
0
0qto
K, hydraulic conductivity, cm/sec
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NUMERICAL SOLUTION
For a flow system with N grid blocks have 3 * N non-linearcoupled equations.
Unknowns: 3 * N primary variables at time level tk+1
Write equations in "residual" form
I
R(K) . M(K),k+l _ M(K),kn n n~~~~~~~~~f
at I. AjLn An
F(K)mk+1 + Vnm n
q(K) ,k+1rqn I
"K-. Fr~j fortb
(n = 1, ... , N; K = 1,2,3)
Introduce iteration index L:
I .. or&,~t EDon,
Rn)X E R(K) (X(K)nk+ll) .
R e%(, -
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NUMERICAL SOLUTION (continued)
Expand to first order
Rn K) ( mx ) = R(K) (x xm )3-N
+ .1=1
aR(c)nax:
(xit - x1 i1)
xL-i
+ ...
3.N
1=1
3R( K)nax.
(x L - x -1) - R( K)
x1-1
This set of linear equations is solved with a proprietary softwarepackage "MA28"', developed by I.S. Duff at AERE Harwell, England (1977).
MA28 employs a sparse version of Gaussian elimination.
,r*, V(YC k L ;,# -b:Aso V
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s % are i
GENERAL-PURPOSE SIMULATOR "MULKOM"I
DATA INPUT
and
INITIALIZATION
.
w. . .
SOLUTION OF
LINEAR
EQUATIONS
Mg~/
/
//
/ f s,/ /~~~~00
ASSEMBLING and
ITERATIVE SOLUTION of
TRANSPORT EQUATIONS
r - - -- -
EQUATIONvariables
secondary o'-parameters STATE
I
I
Ii
I
I
I_
I I
l PRINTED
OUTPUT II __I -- - - - - - - - -
OEOS-package"
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Simplified Flow Chart of TOUGH
tI
K>jcb:~, $ v.g
-C---
.'V6 Coleco
r
.11 j
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( (I
Sample Problems for Numerical Simulator TOUGH
Problem Dimensions Features Issues
infiltration 1-0, linear isothermal code verification against known semi-analyticalsolution (Philip, 1955)
infiltration 2-0, vertical two-dimensional demonstration of code capabilityfronts, gravityeffects
flow to a geo- 1-D, radial water and steam propagating boiling front; code verificationthermal well only, no air against known semi-analytical and numerical
solutions (Garg, 1978)
flow to a well 2-D, vertical flow between code verification against known semi-analyticalintercepting a rock matrix and numerical solutions (Moench, 1980)fracture and fracture
waste package 1-0, radial strongly heat demonstration of code capability for two-compon-driven flow in ent two-phase fluid and heat flow; initial ex-conditions re- ploration of likely thermohydrological conditionspresentative of in the near vicinity of waste packagesNTS-tuffs
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60
6.
wetting front
I =
II*f le at time t
x
Figure 4.1. Schematic illustration of moisture in a tubeof soil.
ji,
x -l
Figure 4.2. Initial and boundary conditions forbenchmark problem.
40
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I
kr
0
-100
, cm
erzO0.1S e;0.45S
Figure 4.4. Parameter values employed for benchmark problem.
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z0
D0-i
1.00 I
.85
.70
.55
.40
0. 3.0 6.0 9.0 12.0
DISTANCE (cm)
fL-.t; ro'1,; Q,+) 4 o
w's( 6, gslc'Fout.4I
XBL 836-287
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I
CANISTER PROBLEM160.
140.
a, 120.\CDLu0
D~ 100.
I- 80.
0-u2: 60.
40.
20. I I I ,, l~l I I I I l la11 10
RADIAL DISTANCE
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. - t
CANISTER PROBLEM6.0
5.0
a 4.0
Cn 3.0U)1cr-
2.0
1.0 I0 I I 1 I
1. 10
RADIAL DISTANCE
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CANISTER PROBLEM.710
.700
.690
z 7H .680 -
< .670
.660
.650 I I ,,,, I I I 1,,,110
RADIAL DISTANCE
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N
CANISTER PROBLEM0.
-1. 0
co
cc
%-J
-JEr
C-,
-2.0
-3.0
-4.0
-5.0
-6. 01 10
RADIAL DISTANCE
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CANISTER PROBLEM1.00 ' I I I"IHil I I I I I II
.80 _
.60 -
.40 I
p
I.20 -
0. K I , I I II ,1Li 10
RADIAL DISTANCE