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Amélie Neuville, Renaud Toussaint, Jean Schmittbuhl
To cite this version:
Amélie Neuville, Renaud Toussaint, Jean Schmittbuhl. Hydrothermal coupling in a self-affine rough
fracture. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical
Society, 2010, 82, pp.036317. �10.1103/PhysRevE.82.036317�. �hal-00553182�
Hydro-thermal oupling in a self-ane rough fra ture A. Neuville 1,2 ,
∗
R. Toussaint 1,2 , and J. S hmittbuhl 1,2 1 EOST, Université de Strasbourg, Fran e and2 Institut de Physique du Globe de Strasbourg, UMR CNRS ULP 7516,
5 rue René Des artes, 67084, Strasbourg Cedex, Fran e
Theinuen eofthemulti-s alefra tureroughnessontheheatex hangewhena olduidenters a fra tured hot solidis studied numeri allyonthe basis of the Stokesequation and inthe limit of both hydro- and thermo-lubri ations. The geometri al omplexity of the fra ture aperture is modeledbysmallself-aneperturbationsaddedtoauniformapertureeld. Thermalandhydrauli propertiesare hara terizedviathedenitionofhydrauli andthermalaperturesbothatmi roand ma ros opi s ales and obtained by omparing the uxes to the ones of atfra tures. Statisti s over a large numberof fra ture ongurations provide an estimate of the average behavior and itsvariability. Weshowthat thelong range orrelations ofthe fra ture roughnessindu esstrong hannellingee tsthatsigni antlyinuen ethehydrauli andthermalproperties. Animportant parameter is the aspe t ratio (length over width) of the fra ture: we show for example that a downstreamelongatedroughfra tureismorelikelyto inhibitthehydrauli owand subsequently to enhan e the thermalex hange. Fra tureroughness might, intheopposite onguration, favor strong hanneling whi hinhibitsheating oftheuid. Thethermalbehaviorisingeneralshownto bemainlydependentonthehydrauli one,whi hisexpressedthroughasimplelaw.
PACSnumbers: 47.56.+r44.05.+e47.11.B 44.30.+v
I. INTRODUCTION
Amongsituationswhereheatex hangebetweena
pass-ing uid and a fra tured medium is of entral
impor-tan e,geothermyisanintensivelydevelopingeld. Deep
Enhan ed GeothermalSystems(EGS) arebasedon the
energyextra tion obtainedwhena olduid is inje ted
from the surfa einside a hotfra tured massifat depth
andextra tedafter ir ulationintheopenfra tures
pos-sibly arti ially reated from an hydrauli or hemi al
stimulation (e.g. the EGS pilot plant in
Soultz-sous-Forêts,Fran e[14℄).
The e ien y of the heat ex hange depends on the
balan e between ondu tiveand onve tiveheat uxes.
Theformerismainlydependentonthegeometryofea h
individualinterfa e,i.e. fa ingfra turesurfa es,butthe later is denitively related to the hydrauli properties
of the fra ture network whi h results from the network
onne tivityandthefra turepermeability.
Hydrauli ondu tivityoffra turedro kshavebeen in-tensivelystudiedfordierentmotivations. Forinstan e, thehydrauli propertiesofthe rystallineaquiferof Ploe-meur,Fran e,hasbeenstudiedbyLeBorgneetal(2004)
[5℄ to address water supply issues. Another example is
themitigationofradionu lidemigrationwhi h hasbeen
fore asted in the ase of the repository sitefor nu lear
wastes storage in Äspö, Sweden on the basis of a
dis- retefra turenetwork[6℄. Themodelingofthetransport properties of fra ture networks is a tually averya tive
∗
resear harea. A lassi alapproa his tomodel theow
pathsviaparallelintera tingatfra tures[7℄. More ad-van edstudiesaddresstheee tsofthe onne tivityand orrelationsofthefra tures(e.g. in Refs[8,9℄).
Inmanymodelsofhydrauli orhydro-thermalow
de-velopedso far,thegeometryofea hfra tureofthe net-workisnevertheless onsideredassimple,e.g. asparallel plateswithasimplegeometryoftheedgeasanellipseor
apolyhedron. Thisisthe asein mostfra turenetwork
modelsusedforgeothermal[10℄orforuidtransport ap-pli ations[8,9℄. Thenon-trivial hara terofthefra ture aperturegeometryishoweververylikelytoinuen ethe
fra ture ow given their omplex real geometry. Most
natural fra ture surfa es are indeed self-ane obje ts.
Surprisingly,the omplexityofthemultis aleproperties of the fra tures has some remarkablesimpli ity, in the
sensethat theirHurstexponentisveryrobustlyaround
0.8 [11℄. Ex eptions however exist like for fra tures in
sandstoneswhere the Hurst exponentis 0.5 [12, 13℄, or
in glassy erami s whi h showan exponent lose to 0.4
[14℄.
Theaperturebetweenfra turesurfa esissubsequently farfrom at in parti ular iffa ingfra ture surfa es are un orrelated, at least at small s ales[15, 16℄. A rough
self-aneapertureisindeeddened betweentwo
un or-relatedself-anefra turesurfa es,orbetweentwo iden-ti alself-ane fra tures translatedtangentiallyto their average planebyatranslation largerthanthes ale
un-der study. Self-ane apertures have been shown to be
responsible for tortuous ow path. The related
han-neling of the uid ow was experimentally observed in
22℄). The appli ability of su h an approximation has beenstudied, e.g. in Refs[2325℄. Extensionof this
sit-uation was onsidered for exampleby Plouraboué et al
[26℄wheretheReynoldsequationis oupledtothe hem-i al onve tion-diusionstudy. Moreadvan edhydrauli
simulations in luding the solving of the Navier-Stokes
equation have been proposed either onsidering
simpli-edgeometry[23, 27℄ormorere entlywithinarealisti
fra ture geometry [2832℄. However, these re ent
sim-ulationsrequireheavy omputations (although dierent
methods are available) and aretherefore notfully
om-patiblewithstatisti alapproa heswherealargenumber ofrealizationsisne essary.
Beyond the problem of mass owin roughfra tures,
dierent kinds of numeri al simulations have already
beenproposedtoa ountforhydro-thermal oupling. As
arstapproa h,analyti alsolutionshavebeenobtained
to ompute the heat ux along parallel ir ular ra ks
embedded ina3Dinnitemediumusingsimpliedheat
equations [33℄. Atlarges ale and forlongterm predi -tions, models like that of Batailléet al. [10℄ havebeen proposedtopredi ttheresponseofgeothermalreservoirs.
This type of nite-element model in ludes ondu tion,
freeand for ed onve tion, but redu es thegeometry of
thehydrauli networktoadoublepermeability
distribu-tion to a ount forbothmatrix andfra ture transport.
A variety of more omplexmodels have also been
pro-posedlikethemodelingofa3Dnetworkoffra tures orga-nizeda ordingtogeologi alobservationsand ompleted
with sto hasti fra tures for underdetermined parts of
themodel[34℄,orthatforSoultz-sous-Forêts,Fran e,by Ra hezetal [35℄orthat ofKolditzand Clauser[36℄ for
Rosemanowes,UK.
In the present study, we fo us on the hydro-thermal
oupling at the fra ture s ale where the hanneling
ef-fe t is expe ted to ae t not only the uid transport
properties,butalsotheheatuxproperties,assuggested
byKolditzand Clauser[36℄ who proposed that the
dis- repan y between lassi al heat model predi tions and
realobservations ouldbedue toow hanneling
result-ing from fra tureroughness. We aimat obtainingfrom
themi ros opi analysisoftheowats alesofthe fra -tureasperities,thema ros opi parameters(i.e. the hy-drauli transmissivityand the hara teristi
thermaliza-tion length) that governthe e ien y of theuid mass
and heat transport through the overall fra ture. This
willallowto oarsegrain thedes riptionoftheee t of
mi ros opi asperities, i.e. the fra ture roughness, on
the hydrauli and thermal behavior in large s ale
net-work modelsastheones mentionedabove. The
ups al-ing from the mi ros opi asperity s ale to the fra ture
s ale is donevia asystemati statisti al analysis of the ma ros opi owparameters,foralargesetofsto hasti syntheti fra turesurfa es,des ribedwithafewkey
pa-rametersforsu h apertures: average aperture,standard
deviation. The ma ros opi parameters obtained after
theups aling redu e to two: thehydrauli
transmissiv-ity, hara terizingtheuidmasstransport,andtheother
one hara terizingthee ien yoftheheatex hange
be-tweenthero kandtheuid. Thisex hangeisexpressed
viathe hara teristi length
R
in a ma ros opi law oftype
(q/ kqk) · ∇
2
T − (T − T
r
)/R = 0
(1)with
T
a uid temperature,T
r
the temperature in thesurrounding ro k,
q
the uid ux integrated over thefra turethi kness,and
∇
2
thetwodimensionalgradientoperator along the fra ture plane. The hydro-thermal
modeling is performed as in [3℄. The present study is
in the framework of the lubri ation approximation [37℄
whi h implies that the Reynolds number is small and
thatthefra turewallsarelo allyatenoughtoprovide
amainly in-plane velo ity eld, with a negligible
om-ponentnormalto themean fra tureplane. We propose
toextend thelubri ation approximationto the thermal
uxes. Bybalan ingheat ondu tion andfor ed
onve -tion we obtain a tri-dimensional (3D) temperature law
whi h will then be redu ed to a2D temperature
equa-tionbyaveragingitalongthethi knessofthefra tureas
proposede.g. byTur otteandS hubert[38℄.
Se tion IIdes ribesourgeometri almodelofthe fra -tureaperturebasedonaself-anes alinginvarian e. In Se tionIII,using lubri ationapproximations,weobtain
thebidimensionalpressureandthermal equationswhen
a old uid is inje ted through a fra ture in a
station-aryregime. Asa rststep, thetemperaturewithin the
surroundingro kissupposedtobehotand onstant(in
timeandspa e),andthedensityoftheuidis onsidered as onstant. Weshowthatata oarsegraineds ale,the
twodimensional (2D) equation forheat ux is identi al
totheoneforparallelplates, Eq.(1),butwitha hara -teristi thermalizationlength asso iatedto an aperture
(namedthermalaperture),dierentfromthegeometri al
aperture(alsooftenlabeledastheme hani alaperture). Otherrelevantquantitiesaredened todes ribethe
hy-drauli and thermalbehaviorsat lo aland ma ros opi
s ales. The numeri al approa h is des ribed in details
in Se tion IV. Equations are dis retized using a nite
dieren es hemeandsolvedwithabi onjugategradient
method. The numeri al hydrauli and thermal results
are respe tively set out in IV and V. In ea h of these
se tions,werstdes ribetheresultsforagivenfra ture
morphology(lo allyandma ros opi ally),thenaveraged
trendsofma ros opi parametersthatareobserved
sta-tisti allyfromlargesets ofsyntheti fra tures.
II. DESCRIPTION OFTHEROUGHNESS OF
THEFRACTUREAPERTURE
Theroughnessofaself-anesurfa eisstatisti ally
in-variantupon anisotropi s aling within its meanplane
(x, y)
whileontheperpendi ulardire tionz
,thes aling isanisotropi . Indeed, itis statisti ally invariantunderthes aling transformation
x → λx, y → λy, ∆z → λ
ζ
z
exponent. A self-ane geometri al model has been ex-perimentally shown to be a realisti des ription of nat-uralro ksurfa es [11, 16, 42, 43℄, withHurst exponent
equalat larges ale to
ζ ≃ 0.8
for manykinds ofnatu-ral fra tures and material surfa es [4245℄ and
ζ ≃ 0.5
for sandstones [46, 47℄. It is important to note that a
self-ane surfa e having a roughness exponent smaller
than oneis asymptoti ally atat large s ales[48℄.
A - ordingly, aself-anetopography anbeseenasa
per-turbation of a at interfa e. On the other end of the
s ales, thelo al slope ofaself-ane surfa edivergesat
small s ales, and the maximum slopeof su h surfa e is
determinedbythelower utooftheself-anebehavior
- orrespondinge.g. togranulardiameterwhenpresent.
In prin iple, modeling a ow boundary ondition along
su h surfa erequires to he kthat the ma ros opi ally
obtainedresultdoesnotdependonsu hlower uto.
Theaperture isthespa ebetweenthe fa ingfra ture
surfa es. Ourstudyislimitedtothe asewheretwonon orrelatedfra turesurfa eswiththesameroughness ex-ponentsarefa ingea hother. Subsequentlytheaperture
a(x, y)
isalso aself-anefun tion with thesameHurst exponentwhi hfullls thefollowingproperty[39,40℄:λ
ζ
Pr(λ
ζ
∆a, [λ∆x, λ∆y]) = Pr(∆a, [∆x, ∆y])
(2)where
Pr(∆a, [∆x, ∆y])
istheprobabilitytogetanaper-turedieren e
∆a
between twopoints separatedbythedistan e
[∆x, ∆y]
,λ
isanarbitrarys aling fa torandζ
theroughnessexponent.
The self-ane aperture eld is numeri ally obtained
byrstgeneratingawhitenoise
ǫ(x, y)
[49℄onagridof size2·n
x
×2·n
y
withasquaremesh-sized
. Thenthe sta-tisti alspatial orrelationsareintrodu edbymultiplying the2DFouriertransformofthewhitenoise˜
ǫ (k
x
, k
y
)
bykkk
(−1−ζ)
[50℄, where
k
is the wave ve tor. Whende-sired,alower utolengths ale
l
c
anbeintrodu edby ltering as: ifkkk ≥ π/l
c
,a (k
˜
x
, k
y
) = 0
. Finally we perform the inverse Fourier transform of˜
a (k
x
, k
y
)
and normalize it to geta syntheti aperturea(x, y)
with anaverage
A
andarootmeansquare(RMS)σ
. Usingdier-entseedsoftherandomgeneratorofthewhitenoise,itis possibletogenerateindependentself-aneaperture
mor-phologies showing dierent patterns, even if they share
the same roughness exponent hosenequal to
ζ = 0.8
,thesamemeanaperture
A
andsameRMSσ
. Theupperlimitof
σ
isprovided by the onditionof positive aper-ture,i.e. weprevent onta tbetweenthe fra turefa estokeepa onstantsimpleboundarygeometryofthe
do-main where the equations are solved. In pra ti e
a
isimposed to range between
10
−
4
and
10
, whi h leadsto0.7 > σ/A > 10
−
3
. Thetypi algridsizesthat wereused are:
1024 × 1024
,1024 × 2048
,1024 × 512
. Themeshsized
hasbeenadjustedtogetasu ientnumeri alpre ision ofthetemperaturesolutioninthe aseofaparallelplateongurationwhereananalyti alsolutionisknown. The
numeri alstability ofthe solutionshasalso been tested
against slight shifts of the mesh position on an
over-sampledself-aneapertureeld:
2·n
x
×2·n
y
= 2
12
×2
12
,
Figure 1: 2D sket h of the fra ture modelwith parameter denitions.
x−
axisisalongthemeanhydrauli ow,y-axisis alongthemeanfra tureplanebutperpendi ulartothemain hydrauli ow andz−
axis denotes the out-ofmean fra ture planedire tion.z = z
1
andz = z
2
are theaverage positions ofthefa ingfra turesurfa es.a(x, y)
isthefra tureaperture.T
r
isthe temperature of the solid, supposed to be homoge-neousand onstant,T
0
is theuidtemperatureattheinlet. Fluidpropertiesare:ρ
,c
,χ
,andη
respe tivelydensity,heat apa ity,thermaldiusivityanddynami vis osity.and against the introdu tion of a lower uto
l
c
of theself-ane perturbations varying between the mesh size
and10timesthemeshsize: thederminedowand
tem-perature elds were found to be independent of su h
smalls alemodi ations.
III. HYDRAULIC ANDTHERMALFLOW
EQUATIONS
A. Hydrauli ow
We onsider the steady ow of a Newtonian uid at
low Reynolds number, so that the vis ous term of the
Navier-Stokesequation dominatestheinertialone. The
Navier-Stokesequationisthereforeredu edtotheStokes equation[51,52℄:
∇
P = η∆v,
(3)where
η
is the dynami vis osity,v
the velo ity of theuidand
P
thepressuredeviation from thehydrostatiprole (i.e. the hydrauli head whi h is equal to the
pressure orre ted by the gravity ee t). To be in the
frameworkofthelubri ationapproximation[37℄,besides
smallReynoldsnumber, wealso onsider fra tureswith
at enough sides as mentioned above (i.e. with small
lo alslopes). Therefore, uidvelo ityve torsget negli-gible
z
- omponents(normaltothemeanfra tureplane),and a ordingly the velo ity eld is dominated by
in-plane omponents. Theunitaryve tor
x
ˆ
isalignedwiththema ros opi imposed pressuregradient(see Fig.1);
z
1
(x, y)
andz
2
(x, y)
arethebottomandtopfra ture o-ordinates,withz
2
−z
1
= a
. Undertheseapproximations, thepressuredependen e isP (x, y)
andthevelo ityv
is orientedalong the unitary ve torv
ˆ
(x, y)
. Byv
(z
1,2
) = 0
, we get a lo al paraboli law inz
(Fig. 2) [25℄:v(x, y, z) =
∇
2
P (x, y)
12η
(z − z
1
) (z − z
2
)
(4) where∇
2
= ˆ
x
∂
∂x
+ ˆ
y
∂
∂y
isthein-planegradientoperator.T
v
v=0
T=T
r
z=a/2
z
z=−a/2
,
Figure2:(Coloronline)Lo alvelo ityquadrati prole(short dashed line) and temperature quarti prole (long dashed line)insideafra ture(with oe ientsfromEqs.(9)and(4)); arbitraryabs issaunits.Alongthe onta twiththefra ture,
v
= 0
andT = T
r
.Integrating Eq. (4) along
z
leads to express thehy-drauli owthroughthefra turethi kness
q
as:q
= −
a
3
12η
∇
2
P.
(5)Furthermore, we assumethe uidto be in ompressible,
i.e.
∇
2
· q = 0
whi hleadstotheReynoldsequation[19℄:∇
2
· a
3
∇
2
P
= 0.
(6) Asboundary onditionsofthisequation(Fig.3),we im-posethe pressureatthe inletand outlet ofthefra ture (ifx = 0
,P = P
0
andifx = l
x
,P = P
L
,withP
0
> P
L
)and onsiderimpermeablesides(nomassex hangewith
thero kmatrix)at
y = 0
andy = l
y
.Figure 3: Fra ture model with pressure and temperature
boundary onditions.
B. Thermalow
In this work, we negle t the natural onve tion that
happensinfra turedro kswhentheuiddensityis ther-mally sensitive, asstudied for instan e byBatailleet al
[10℄. Natural onve tionmighthappenwithinthe
thi k-nessofthefra ture(owingtothetemperaturedieren e
betweenthefra ture boundary andthe oreof theow
alongthegravitydire tion)and at larges alewhenthe fra tureisnonhorizontal. Forthesakeofsimpli ity,we
onsider that the for ed uid ow studied here is only
weaklyae tedbydensity hanges. Aquantitative rite-rionofthisassumptionisgivenbythe omparisonofthe
pressuredieren es
∆P
for ingtheowandthatgener-atedbythetemperature hanges:
∆P ≫ gα
T
ρ∆T,
withg
thegravity,α
T
the uid oe ient ofthermalexpan-sion,
ρ
theuiddensity,and∆T
thetemperaturedier-en es in the system. We also assume that the Prandtl
numberoftheuidissu ientlyhighfortheowto be
dominatedbyhydrodynami ee tsratherthanthermal
ee ts.
Sin eourfo usisto understandhowthema ros opi
massand heat owsare ae ted bythe fra ture
rough-nessinthestationarylimit,wedonot onsidertimeand spa evariationsofthetemperatureinthero k: the fra -turesidesareassumedtobepermanentlyhotatthexed temperature
T
r
. Thissimpli ationisvalidifwe onsidereither long time s ales i.e. when the ro k temperature
prolesstabilizes,ortimes alesshorterthanthat ofthe hostingro kevolution. Takingtheslowtemperature evo-lutionof thehostingro kintoa ountwouldrequireto
ombinethepresentstudywithanon-stationary
ondu -tiveheatsolverforthero kwhi hisbeyondthes opeof thismanus ript. Inprin iple,to model these
intermedi-atetime s ales, thema ros opi parameters ontrolling
theheat ex hange determined in this manus ript ould
beutilizedinahybridmodel, ouplingtheheat diusion-adve tionintheuidwiththeheatdiusioninthesolid.
Lo al energy onservation implies that the uid
tem-perature is ontrolled by the balan e between thermal
onve tion and ondu tion inside the uid whi h reads
as(heatsour eduetofri tionbetweenuidlayersbeing negle ted)[53℄:
v
· ∇T = χ∆T,
(7)where
χ
isthethermaldiusivityoftheuidandT
theuidtemperature. Weextendthelubri ation
approxima-tion( .f.I)by onsideringthattheslopesofthefra ture
morphology are small enough to provide a ondu tion
at thero k interfa e lo ally orientedalong
z
ˆ
. Thisim-pliesthat theout-of-plane ondu tion termisdominant
in front of the in-plane ones. Otherwise
v
z
∂T/∂z
anbe negle ted in
v
· ∇T
sin eout-of-plane velo ityv
z
is negligible. A ordingly theleadingtermsin Eq. (7)are the ondu tion alongz
ˆ
axisandthein-plane onve tion terms,andthisredu es to:∂
2
T
∂z
2
=
v
x
χ
∂T
∂x
+
v
y
χ
∂T
∂y
,
(8)Fortheboundary onditions,weassumethattheuid
temperatureis equalto the ro ktemperaturealongthe
fra -tureinlet:
T (x, y, z) −→
x→∞
T
r
. Thetemperatureof
inje -tionat theinlet is
T
0
sothatT (0, y, z) = T
0
(foranyy
andz
). Byassumingthatβ = q
x
∂T/∂x + q
y
∂T/∂y
isonly fun tion ofx
andy
, the following quarti expression ofT
issolutionofEq. (8):T (x, y, z) = T
r
−
β(x, y)
2 · a
3
· χ
(z − z
1
) (z − z
2
)
·
z −
√
5z
1
z −
√
5z
2
(9)Fortheparti ular aseofsymmetri aperturesaround anaverageplane,i.e. where
z
1
= −z
2
= a/2
,thisredu es toT = −3 · β z
4
/6 − a
2
z
2
/4 + 5a
4
/96 / a
3
· χ
+ T
r
.By uniqueness of the solution for given boundary
on-ditions (the problem is well-posed), this quarti law is
the only solution of Eq. (7). The temperature prole
along
z
isillustratedtogetherwiththevelo ityprolein Fig.2).The energy onservation equation (Eq. (7)) is
inte-gratedalongthe
z
-dire tion,throughthethi knessofthefra ture (as done for the hydrauli des ription), whi h
providesanin-plane des riptionofthethermalbalan e. First,weestimatetheadve tedenergyux. Forthis,we note
c
theuidspe i heat apa ityandU
0
itsinternal energydensityatT = T
0
,and writetheinternal energy densityU
asU = U
0
+ ρc (T − T
0
)
. Integratingalongthe fra ture thi kness ( i.e. along thez
-axis), leadsto theinternal energy ux per unit volume
f
(x, y) =
R U vdz
whi h anbeexpressedas:
f
(x, y) =
U
0
+ ρc T − T
0
q(x, y)
(10)where
T
isaweightedaveragetemperaturedened as:T (x, y) =
R
a
v (x, y, z) · T (x, y, z) dz
R
a
v (x, y, z) dz
,
(11)with
T (0, y) = T
0
= T
0
at the inlet. The heat sour eoming theadve ted energy is then given by:
−∇
2
· f
.Usingthe mass onservationequation,
∇
2
· q = 0
, leads to:∇
2
.f = ρcq.∇
2
T .
(12)Theadve tedenergyuxbalan esthe ondu tiveux
through the upper and lower fra ture walls. To
evalu-ate thethermal ondu tiveow orientedalong the
out-going normal to the fra ture walls
n
ˆ
, the lubri ation approximation ( .f. I), leads ton
ˆ
≃ ±ˆ
z
. Letϕ
w
bethe proje tion of the ondu tive ow along
n
ˆ
,evalu-ated along the walls, at
z
1,2
. The Fourierlaw providesϕ
w
= −χρc
∂T
∂z
z=z
1,2
ˆ
z
· ˆ
n
. Eqs.(9) and(4)inserted in-sideEq.(11),leadto∂T
∂z
z=z
1,2
= T − T
r
70
17·a
z
ˆ
· ˆ
n
. The NusseltnumberNu = −ϕ
w
/ϕ
ref
= 70/17
isusedtohar-a terizethee ien y ofthepresentheatex hange
om-paredto thereferen eheat ow
ϕ
ref
= χρc T
r
− T
/a
,whi ho ursinsituations withonly ondu tion.
Theenergynetux:
∇
2
· f + 2ϕ
w
= 0,
(13)annallybeexpressed as:
q
· ∇
2
T + 2
χ
a
Nu · T − T
r
= 0.
(14)For the boundary onditions of the two-dimensional
eld
T
,weassumethattheuidisinje tedata onstanttemperature
T (0, y) = T
0
older than the ro k and weonsiderthelengthof thefra tureto belongenoughto
gettheuidat thesametemperatureasthero katthe
end ofit:
T (l
x
, y) = T
r
. On the ontrary, temperature settingsalongtheboundariesy = 0
andy = l
y
arewith-outanyinuen e, sin e the hydrauli owis null there
(seeIIIA).
Let the referen e ase be a fra ture modeled with
two parallel plates separated by a onstant aperture
a
//
(i.e., no self-ane perturbation). In this ase, the gradient of pressure is onstant all along the fra ture,as well as the hydrauli ow whi h is equal to
q
//
=
−∆P a
3
//
/ (12l
x
η) ˆ
x
, where the subs ript//
denotes re-sultsvalidforparallelplatesand∆P = P
L
− P
0
. Under these onditionsEq.(14)isinvariantalongy
and anbe writtenas:∂T
//
∂x
+
T
//
− T
r
R
//
= 0,
(15)wherethethermal length
R
//
hara terizesthedistan eat whi h the uid rea hes the temperature of the
sur-roundingro k:
R
//
=
a
//
·
q
//
2 · Nu
//
· χ
= −
∆P
l
x
·
a
4
//
24η · Nu
//
· χ
,
(16)with
Nu
//
= 70/17 ≃ 4.12
. Then theanalyti alsolution ofEq. (15)forparallelplatesis:T
//
− T
r
= (T
0
− T
r
) exp
−
R
x
//
.
(17)Forroughfra tures,weaimatusingEq.(17)asaproxy
oftheaveragetemperatureprole
T
alongthe owanddeninganee tivema ros opi thermallength
R
as:T − T
r
= (T
0
− T
r
) exp
−
x
R
.
(18)C. Denition ofmi ros opi and ma ros opi
apertures
Dierent types of fra ture apertures an be dened.
Themostobviousoneisthegeometri alaperturebut ef-fe tiveapertures likehydrauli orthermal aperture an
also beintrodu ed. Thelatter are dened on the basis ofaninversiononaspe i modelliketheparallelplate
model. For instan e, the hydrauli aperture isdedu ed
fromtheknowledgeoftheuidowthroughthefra ture
and it representsthe aperture of aparallel plate model
that reprodu esthe observeduid ow. Equivalently a
thermal aperture an be introdu ed as the aperture of
aparallel platemodel thatreprodu esasimilarthermal prole. Aspatial s alehastoatta hedto denethe hy-drauli orthermal equivalent behaviorin parti ular for
a multi-s ale geometry. Sin e weaim at understanding
theups alingofthefra tureproperties,wewillintrodu e twospe i s ales: thesmallestone,i.e. thegridsize of
the dis retization and the largest one, i.e. the system
size. Thesmallestwillbereferredasthemi ros opi or lo als aleandsmallletterswillbeusedfortheirlabeling
and thelargest, asthema ros opi s ale and des ribed
with apitalletters.
Wealreadyusethemi ros opi geometri alor
me han-i al aperture
a
and its spatial average,i.e. the ma ro-s opi geometri alaperture:A = ha(x, y)i
x,y
.Themi ros opi hydrauli apertureisdened asfrom
Eq.(5)[19, 54℄:
h =
kqk
12η
∆P
l
x
1
/
3
.
(19)It depends on the lo al hydrauli ow
q
, and an berelated to the lo al pressure gradient
k∇P k
and lo alaperture
a
as:h = a ·
k∇P k
∆P
l
x
!
1
/
3
.
(20)If thelo al pressuregradient
k∇P k
is smallerthan the ma ros opi gradient∆P/l
x
, thenh (x, y) < a (x, y)
,whi h means that lo ally the hydrauli ondu tivity is
lowerthanexpe ted from itslo al me hani alaperture.
The ma ros opi hydrauli aperture
H
an also bede-nedatthesystems alefromtheaveragehydrauli ow
Q
x
= hq · n
x
i
x,y
:H =
Q
x
12η
∆P
l
x
1
/
3
.
(21)Ma ros opi and mi ros opi hydrauli aperture are
re-lated,sin e
H
isa tuallyproportionaltothe ubi root ofthethird ordermomentofh
:H = hh(x, y)
3
i
1
/
3
x,y
whi hisproportionaltotherstordermomentofthehydrauli ux,topower
1/3
. IfH/A > 1
,thenthefra tureismore permeablethanparallelplatesseparatedbya(x, y) = A
.The ma ros opi thermal aperture is dened from a
1D temperature prole
T (x)
along the for ed pressuregradientdire tion(seeEq.(18))wheretheaverage
tem-peratureisdenedas:
T (x) =
R
l
y
u
x
(x, y) · T (x, y) dy
R
l
y
u
x
(x, y) dy
.
(22)It is an average of
T
along the width of thefra -ture
l
y
, weighted by the lo al uid velo ityu
x
(x, y) =
q
x
(x, y)/a(x, y)
whi histheratioofthex
- omponentof thelo alux overthelo al fra tureaperture. Then,by ttingtheparallelplatetemperaturesolution(Eq.(18))to the average temperature prole
T (x)
, we get thema ros opi thermal length
R
. In pra ti e the t isomputed from a least square minimization, for
ab-s issa from
x = 0
to the minimumx
value so that(T − T
r
)/ (T
0
− T
r
)
< 2 · 10
−
6
. Thema ros opi
ther-malaperture
Γ
isthendenedbyanalogytotheparallel platesolution(Eq.(16)) as:Γ =
−R · 24η · Nu · χ
∆P
l
x
1
/
4
= A · (R
∗
)
1
/
4
,
(23) whereR
∗
= R/R
//
isthenormalizedthermallength. Ata oarse grained s ale, the rough fra ture is thermally
equivalent to parallel plates separated by the onstant
aperture
a(x, y) = Γ
. Indeed,bothwillexhibitthesamethermallength
R
under thesame ma ros opi pressuregradient
∆P /l
x
.Themi ros opi thermalaperture
γ
analsobeintro-du edafter dening alo al thermallength
r
. Similarly tothedenitionofami ros opi hydrauli aperturefrom thelo alpressuregradient,orlo alux,ratherthanthema ros opi pressuredieren e, orma ros opi ux,we
estimatethelo al thermallengthfrom alo al
tempera-turegradientratherthanalarges alepressuredieren e. Eq.(14) anberewrittenas:
q
· ∇
2
ln
h
T
∗
i
+
kqk
r
= 0
(24) withr =
a · kqk
2 · Nu · χ
,
(25)whi hisanestimateofthegradientalong
s
ˆ
thelo al hy-drauli owdire tion. Finally,thelo althermalapertureγ
anbedenedby( onsistentlywithEq. (16)):γ =
−r · 24η · Nu · χ
∆P
l
x
1
/
4
(26)
A link between ma ros opi and mi ros opi thermal
apertures analsobeshownasfollows: atrstorder, on-sideringthattheaverageof
kqk
isvery losetothe aver-ageofq
x
thenthelo allengthofreferen ewouldbeequal tor = −
˜
∂ ln
T
∗
/∂x
−
1
. On the other hand,
inte-grating equation (18) between
0
and signi ant lengthL
, resultsinR = −
hh
ln
T
∗
(L)
− ln
T
∗
(0)
i
/L
i
−
1
,whi h shows the link between ma ros opi and
mi ro-s opi thermal apertures:
R = L
R
L
0
(−1/˜r)dx
−
1
, i.e.R =
r
−
1
−
1
∝
D
(a kqk)
−
1
E
−
1
,a ordingtoEq. (25).Forparallelplates, allmi ros opi aperturesareequal
and also equalto the ma ros opi ones:
h = a = γ =
H = Γ = A
. For rough fra tures, this is denitively not the ase sin e thelo al apertures vary spatially in-sidethefra ture. Wewillseeinthenextse tionhowallthese apertures are inuen ed by the roughness
ampli-tude ofthe fra ture aperture, forwhi h we will
empha-sizeontwomainparameters: thenormalizedroot mean
squaredeviation
σ/A
ofthegeometri alapertureandthe aspe t ratio of the fra tureJ = l
x
/l
y
, i.e. the ratio of thedownstream lengthof thefra turel
x
overitswidthl
y
.D. Dimensionless quantities
Dimensionlesspositions,apertures,pressure,
tempera-tureandhydrauli owaredened asfollow:
x
∗
=
x
d
,
y
∗
=
y
d
a
∗
=
a
A
,
H
∗
=
H
A
,
Γ
∗
=
Γ
A
P
∗
= −
(P − P
2d
0
)
∆P
l
x
,
(27)T
∗
=
T − T
r
T
0
− T
r
,
q
∗
= −
12η · l
x
∆P · A
3
q.
where
d
is the mesh size of the aperture grid.Other-wise,wenotethatinthedimensionlesstemperature,the
dieren ebetweentheinje tiontemperature
T
0
andthero k temperature
T
r
intervenes onlyas afa tor of pro-portionality.IV. HYDRAULIC FLOWSIMULATIONS
A. Des riptionofthe pressuresolver
The Reynolds and temperature equations (Eqs. (6)
and (14)) are numeri ally solved by using a nite
dif-feren e s heme. The pressure
P
, the hydrauli owq
and temperature
T
aredis retized on agridofn
x
× n
y
pointswithameshsizeof2d
i.e. halfoftheaperturegrid points. In thefollowing,whenindexes(i, j)
arepositive integers,theyreferto nodepositionswhereanaperture, apressureandatemperaturearedened,onthe ontrary ofthenon-integernodeposition(i ± 0.5
orj ± 0.5
)whereonlyanapertureisdened.
The Reynolds equation (Eq. (6)) is dis retized and
solvedin thesamewayasbyMéheust andS hmittbuhl
[20℄: weusenite dieren es enteredonasquaremesh
oflatti estep-size
2d
,and thelinearequationsystemisinverted usingan iterativebi onjugate gradientmethod
[49℄. The hosenpressuredropalongthefra turelength
is
∆P
∗
= P
∗
n
x
,j
− P
∗
1,j
= 1 − n
x
for1 ≤ j ≤ n
y
. The hydrauli owq
∗
i,j
=
q
∗
i,j x
, q
∗
i,j y
, 0
is omputed fromthepressureeld,as:
q
∗
i,j x
= −
a
∗
3
i,j
2
P
∗
i+1,j
− P
∗
i−1,j
q
∗
i,j y
= −
a
∗
3
i,j
2
P
∗
i,j+1
− P
∗
i,j−1
Foraparallelplate onguration(i.e. modelingwithout self-ane perturbation),
q
∗
i,j x
= 1
andq
∗
i,j y
= 0
every-whereinthefra ture.B. Exampleof ami ros opi hydrauli aperture
eld
Anexampleofafra tureapertureisshowninFig.4a. It is generated asexplained in II on a
1024 × 512
grid,andhasaRMSequalto
σ/A = 0.25
. Thehydrauli owomputedinside thismorphologyisshownin Fig.4b,as
wellasthemi ros opi hydrauli apertures(Fig. 4 ). In this ase,thehydrauli owexhibitsastrong hanneling aspreviouslydes ribedbyMéheustandS hmittbuhl[20℄.
Themi ros opi hydrauli apertures anbeobservednot
tobesimply orrelatedtotheapertureeld.
The link between mi ros opi me hani al apertures
a
and the mi ros opi hydrauli aperturesh
, is givenin Fig. 5, where the s ale shows the orresponding
o - urren e probability of ea h lo al onguration. We
seethat thenormalizedme hani alandhydrauli
aper-turevaluesaredistributedarounda hara teristi point:
(h/A, < a > /A) = (1, 1)
. Nevertheless, theorrela-tionbetweenbothapertures isnotsimple. Some ofthe
highestdensity valuesare lo atedbelow and abovethe
straight line whi h represents
h = a
. A ordingly, thepermeability anlo allybelowerorhigherthanwhatis givenbyanaveragePoiseuillelaw. Thes atteringaround thestraightlineshowsthatatonepoint,thelo alowis
notdetermined bythelo alme hani alaperture,but is
inuen edbyallthesurroundingmi ros opi me hani al
apertures. From omputations with other
σ
, we noti ethat the lower the roughness amplitude, the loser to
(1, 1)
the loudis.C. Variability ofthema ros opi hydrauli
aperture
The dimensionless ma ros opi hydrauli aperture is
measured for our fra ture example as
H/A = 0.94
(or-dinateof the ross in Fig.5).
H/A < 1
meansthat thefra turepermeabilityisredu ed ompared totheone of
a.
b.
c.
q*
h/A
a/A
y/d
y/d
y/d
x/d
x/d
x/d
Figure4: (Color online) a.: Self ane aperture with
σ/A =
0.25
. b.: Dimensionless hydrauli ow norm omputed with the aperture of Fig. 4a., having for dimensionless hydrauliaperture
H
∗
= 0.94
. .: Mi ros opi hydrauli apertures, omputedfromthethirdrootofthehydrauli owshownin Fig.4b.
Figure 5: (Color online) 2D histogram of the link between themi ros opi hydrauli aperture and themi ros opi me- hani alaperturefor the fra tureshowninFig. 4(thes ale indi atestheprobabilityinper ents%);the rosshasfor o-ordinates
(H/A, < a > /A) = (0.94, 1)
. Thestraight line ish = a
,whi histheequalitygivenbyalo alPoiseuille law.0
0.2
0.4
0.6
0.4
0.5
0.6
0.7
0.8
0.9
1
σ
/A
H/A
Example
Dataset
Average
Figure6: (Coloronline)Ma ros opi hydrauli aperture
H/A
versusσ/A
for fra tureswithaspe tratiol
x
/l
y
= 2
;Crosses: Variationofthehydrauli aperture byin reasing the rough-nessamplitudeσ/A
for the aperture shown inFig. 4; Dots: loudof omputeddata(about20 000
aperturerealizations); Squares:Averagehydrauli behaviorwithvariabilitybars. On average,H/A < 1
: thepermeability issmallerthanexpe ted fromthePoiseuillelawinparallel plateapertures.withoutanyself-ane perturbation. Forthe same
mor-phologypattern(Fig.4), weexaminehowtheroughness
amplitude inuen es the ma ros opi hydrauli
aper-ture by hanging
σ/A
( .f. II). In Fig. 6 we see thatthe ma ros opi hydrauli aperture is lose to
1
whenσ/A = 0.05
, whi h orrespondsto a quasiat aperture.When the roughness amplitude in reases,
H
de reases,whi h means that this morphology pattern tends to
in-hibitthe hydrauli ow and makesthe fra ture
perme-abilityde rease.
Forvariousrealizationswiththesame
σ/A
value,vari-oushydrauli behaviorsmayhappenowingtothe hannel
variability in the hydrauli ow. In Fig.6, we plotthe
dimensionlessma ros opi hydrauli apertures
H/A
ver-sus
σ/A
(for about20 000
omputations with1 700
dif-ferent fra ture aperture patterns). Here, ea h fra ture
hasthesamesize asthefra tureshownin Fig.4where
l
x
/l
y
= 2
. We omputethemeanhydrauli apertures in-sidewindowsofsize0.025 σ/A
andea hplotted barrep-resents twi e the standard deviation of
H/A
inside theorrespondingwindows. Weseethat formost ases,the
permeabilityis redu ed. For
σ/A < 0.25
, thehydrauli aperture is still quite lose toA
and the dispersivity isrelativelysmallevenifsome ongurationsshowsaow
enhan ement owing to the fra ture roughness:
H > A
[20℄. Then,forhigherRMS,theaverageof
H/A
de reases signi antlyonaverage(up to50%
)withσ/A
,but with ahighervariabilityoftheresults.D. Inuen eofthe fra tureaspe tratioonthe
hydrauli ow
Togeta ompletedes ription,wenowmodifyone
ad-ditional parameter: the aspe t ratio of thefra ture, by hangingtheratio ofthefra ture lengthoveritswidth,
J = l
x
/l
y
. Figure7showsthesamekindofaverageplotsof
H/A
as a fun tion ofσ/A
but for three dierentas-pe t ratios:
J = 2
(square symbols) whi h is the onepresentedinFig.6,
J = 1
(triangle)andJ = 0.5
(disks). Sin elesssimulationsweredoneforJ = 1
andJ = 2
(see thelegendofFig.7),fewapertureshowσ/A > 0.45
,and thereforenoaveragepointsisrepresentedinthese ases.For square systems(
J = 1
) and downstream elongatedfra ture(
J ≥ 1
),H/A
isonaveragesmallerthanone(i.e. inhibitinghydrauli ow omparetotheonethroughpar-allelplates separatedby thesame opening
A
), whereasforsystemswiderperpendi ularlyto thepressure gradi-entdire tion,
H/A
isonaveragehigherthanone. A qual-itative explanation might be that, it is stati ally more likelyto getalarge s ale onne ting hannelfor awide and short fra ture (J < 1
) rather than for a thin and long fra ture (J > 1
). In other words, qualitatively, hannels are ratherin parallel in widefra tures, and in seriesin longones. Forsquare systemswhi h shouldbeisotropi andprovidingasmanyperpendi ularand
par-allel hannels,weseethatwhentheroughnessamplitude in reases,thehydrauli aperture getonaverageslightly
smaller than
A
. We ansuspe t that it would exist anaspe tratio
J
inv
sothatthehydrauli apertureisonav-erage independent ofthefra ture roughness magnitude:
H/A = 1
for anyσ/A
. Followingthemodel proposed be-lowinIVE,wegetJ
inv
≃ 0.65 ± 0.05
. ForanyJ
value, weseethatthehighertheratioσ/A
,thehigherthe vari-abilityof thebehaviorsis, espe ially for squaresystems whi hexhibitbothhigh(H > A
)andlow(H < A
)per-meabilityforthesameroughnessmagnitude.
E. Modelofthe averagema ros opi hydrauli
aperture
One of the main questions we want to address here,
is the relationship between the ma ros opi hydrauli
aperture
H
and the mi ros opi me hani al apertureeld
a(x, y)
. The knowledge of the me hani al aper-ture elda(x, y)
provides us the following bounds forH
:ha
−
3
i
−
1
< H
3
< ha
3
i
the lower ase
orrespond-ingtoasystemofapertureu tuationspurelyalignedin
series, and theupperoneto u tuationspurely aligned
in parallel [55℄. However,
a (x, y)
is rarely known andsubsequently
ha
−
3
i
−
1
and
ha
3
i
aredi ulttoestimate.
FromFig.7,
σ/A
andJ
appeartobeimportantparam-eters ontrollingthe ma ros opi hydrauli aperture of
thefra ture
H
. Ref[20℄proposedarstmodeloftheH
behavioras:
H/A = 1 + α
σ
A
κ
. Herewesimilarlymodel
the average hydrauli aperture urves orresponding to
ea haspe t ratio( ontinuous urvesin Fig.7) and nd
0
0.2
0.4
0.6
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
σ
/A
H/A
l
x
/l
y
=2, Average
l
x
/l
y
=1, Average
l
x
/l
y
=0.5 Average
Fit curves 1
Fit curves 2
Figure7: (Coloronline)Ma ros opi hydrauli aperture ver-sus
σ/A
,forthreeaspe tratiosJ = l
x
/l
y
.Averages omputed from data are shown with symbols, with error bars, orre-sponding to plusor minusthe standard deviation (see how theaverage is omputed inIVC).J = l
x
/l
y
= 2
shows anenhan ed ow (same data as presented in Fig. 6);
J = 1
showsonaverageaslightlyinhibitedow,i.e.
H ≤ A
( om-puted from a loud of about1 300
points); forJ = 0.5
, onaverage, higherpermeabilityis observed( omputedfroma loud of about
900
points). Continuous urves aret-tingmodels (1)
H/A = 1 + α
`
σ
A
´
κ
, with parameters
(κ, α)
equalto(2.05, −1.46)
,(1.57, −0.31)
,(2.69, 0.67)
respe tively forJ
equal to2
,1
and0.5
. Dotted urves are obtained withttingmodels(2)H/A = 1 − µ [log
2
(J) + δ]
`
σ
A
´
κ
,with
(µ, δ, κ) = (0.98, 0.59, 2.16)
,forthethree urves.(κ, α)
su essively equal to(2.05, −1.46)
,(1.57, −0.31)
,(2.69, 0.67)
respe tivelyforJ
equalto2
,1
,0.5
. Depend-ingonthesignofα
,wegeteitherapermeabilitylowerorhigherthanthat expe ted withatplates. Thenwet
thesethreebehaviorsbyamoregeneralmodelwhi h
in- ludestheaspe t ratiovariation,with three parameters (
µ
,δ
,κ
)tobeoptimized:H/A = 1−µ [log
2
(J) + δ]
σ
A
κ
. With
(µ, δ, κ) = (0.98, 0.59, 2.16)
, we get thethree dot-tedlines in Fig.7whi h are a eptable tsof the aver-agetrend. Howeverithastobehighlightedthatthereal hydrauli aperture of a spe i surfa eis possibly very dierent from this average value (see size of variability barsinFig.7),espe iallyathighσ/A
.Othermodelsfornumeri alorexperimentalhydrauli
apertures have been proposed in the literature [19℄, as
(H/A)
3
= 1 − C
1
exp (−C
2
A/σ)
or(H/A)
3
= 1/[1 +
C
3
(2A/σ)
1.5
],
whereC
1−3
are onstantsbut the shape ofthese fun tions doesnot twellour averagedpoints, andthesetsarenotrepresentedhere.V. THERMAL FLOWSIMULATIONS
A. Des ription ofthetemperature solver
Thetemperatureequation(Eq.(14))isdis retizedas:
q
∗
i,j x
T
∗
i+1,j
− T
∗
i−1,j
+ q
∗
i,j y
T
∗
i,j+1
− T
∗
i,j−1
+
4d
R
//
·
T
∗
i,j
a
∗
i,j
= 0,
(28)where
(i, j) ∈ [|2, n
x
− 1|] × [|2, n
y
− 1|]
andR
//
is thethermallengthexpe tedbynegle tingtheroughness
am-plitude(seeEq.16). Theboundary onditionsare:
1 ≤ j ≤ n
y
,
T
∗
1,j
= 1
andT
∗
n
x
,j
= 0
2 ≤ i ≤ n
x
− 1, T
∗
n
x
,j
= 0
andT
∗
n
x
,j
= 0
Thesystemissolvedin thesamewayasthepressure
system(IVA). Twolimitingnumeri alfa torsintervene
forthe e ien yof thedis retizations heme: themesh
step
d
hasto besu ientlysmallto apturewithasuf- ient a ura y the relative variations of
T − T
r
overa latti e step. In pra ti e, the mesh step used in this
manus riptis hosenas
d = R
//
/50
. We he kedthat di-vidingthismeshsizeby2didnot hangesigni antlytheomputedtemperatureeld. These ondnumeri allimit
isthatthesystemsize
l
x
hastobelargerthan20 · R
//
toavoid a possible numeri al instability (mostly with the
aperture grid size
1024 × 2048
whi h is more likely toexhibitalongerthermallength,asexplainedin VE). If not,theuidpassingthefra tureissoslowlywarmedup
that the ondition
T
∗
n
x
,j
= 0
at theoutlet badly repre-sentsthe onditionimposedinprin ipleatinnityinthehannel,andthisboundary onditionimposedata
phys-i allytooshortdistan efromtheinlet annotbefullled withoutnumeri alartifa t. Tofa e thisprobleminsu h rare situations, we dupli ate the aperture grid to get a
longer systemlength and impose thesame ma ros opi
pressuregradient,and thero ktemperatureat thenew
end:
T
∗
2·n
x
,j
= 0
.B. Example ofalo almi ros opi temperature
eld
Foranearly onstantaperture(
σ/A = 0.05)
,wenumer-i allyobtain atemperature law lose to an exponential
downstreamprole(Fig.8),asweexpe tfromEq.(17).
The2DtemperatureeldshowninFig.9a(
σ/A = 0.25
)is omputed from theaperture and itspreviously
om-puted hydrauli oweld, shown in Fig. 4b. It anbe
observedthattheuidisgettinginhomogeneouslywarm,
with hannelizedfeatures. The thermal hannel begins
inazonewherethehydrauli ow omingfromtheinlet
onverges(Fig.4b). Thelo alnormalizedthermal
aper-ture
γ/A
(mapshowninFig.9b)exhibitslesspronoun ed−ln(T )
x/d
y/d
*
Figure8: (Coloronline)
−
ln
“
T
∗
”
,oppositeofthelogarithm
ofthetemperatureeld
T
∗
omputedfromtheaperture mor-phologypattern shown inFig. 4 with avery low roughness amplitude:
σ/A = 0.05
. Thehydrauli apertureofthis fra -tureisH/A = 0.99
. The temperature eld exhibits a nor-malized thermal length equal toR
∗
= 0.97
and a thermal apertureofΓ/A = 0.99
.γ
/A
−ln(T )
*
a.
b.
x/d
x/d
y/d
y/d
Figure9: (Color online)a.:
−
ln
“
T
∗
”
, opposite ofthe loga-rithmofthe 2Dtemperatureeld, omputedfromthe aper-turesinFig. 4a(
σ/A = 0.25
). b.: Normalizedlo althermal apertureγ/A
asso iated withthe temperatureeldshownin Fig.9a.hannelee tthaninFig.9a. Figure10istheplotofthe lo almi ros opi thermalapertures
γ/A
versusthelo alapertures
a/A
, using a shading showing the o uren edensityin the
(γ/A, a/A)
spa e. Thedispersivityoftheloudaroundtheline
γ = a
showsthat thereis nosim-plelink betweenthelo alapertureandthethermalone. Asimilarplot(Fig.11)allowstoobservethe orrelation
betweenthelo almi ros opi thermalaperturesandthe
lo al mi ros opi hydrauli apertures. It shows a good
orrelation of the lo al thermal aperture and the lo al
hydrauli aperture(i.e. the loudis losetothestraight line
γ = h
). Note that it is more probable (59%
) toFigure 10: (Color online) 2D histogram in per ents of the fra ture shown inFig. 4 as a fun tion of the lo al thermal aperture
γ
and lo al aperturea
(the shading indi ates the probability density). The straight line isγ = a
. The dis-persivityofthe loudaroundtheline shows thatthereisno simplelinkbetweenthelo alapertureandthethermalone.have
γ > h
, whi h orresponds to a heat ex hange lo- ally lesse ientthan what isexpe ted from aparallel platemodelwhi h isequivalentin permeability.Figure 11: (Color online) 2D Histogram in per ents of the fra ture shown inFig. 4 as a fun tion of the lo al thermal aperture
γ
andlo alhydrauli apertureh
(thes aleindi ates the probability inper ents%). Thestraight line isγ = h
; the lo alization of the loud around the line shows a good orrelationbetweenγ
andh
.C. Variability ofthe ma ros opi thermal aperture
Theaveragetemperature
T
(seedenitioninEq.(22))is a semi lo al property whi h shows how the thermal
behaviorevolvesonaveragealong thepressuregradient
dire tion. Theshapeof
T (x)
(Fig. 12)is losetoan ex-ponentiallaw, but withathermallengthR
slightlydif-ferentfrom thefra ture withoutself-ane perturbation
(i.e. parallel plates). This thermallength is omputed
fromthe slopeofthe linearregressionof
ln
T (x)
(see inIIIC). Intheexampledisplayedin Fig.12,the ther-mallengthisR
∗
//
= 1.09
, whi h resultsin anequivalentthermalapertureof
Γ
∗
= 1.02
.Figure12: (Coloronline)Continuous urve:
−
ln
“
T
∗
”
, oppo-siteofthelogarithmofthetemperatureeld omputedfrom thetemperatureeldT
showninFig.9. Dash-dotted urve: Lineart of urve A (fromx/d = 0
tox/d = 772
), whi h provides the thermal length:−ln
“
T
∗
”
= x/1.09 + 0.6
, i.e.R
∗
= 1.09
. Dashed urve:−
ln
“
T
//
∗
”
oppositeofthe loga-rithmof thetemperaturelaw forthesame fra turemodeled withoutself-anityperturbation(i.e. parallelplates),whi h hasforthermallength
R
∗
//
= 1
.Ingure13,the rossesillustratetheroughness
ampli-tudeinuen eonthethermalapertureforthe
morphol-ogypatternshowninFig.4a,whosereliefisampliedby hanging
σ
value(seein II). Forthisexample,Γ
vsσ
is notmonotoni . Thedimensionlessthermallengthis lose to1
whenσ/A = 0.05
,whi h orrespondsto aquasiataperture. Whentheroughness amplitudeis big enough
(
σ > 0.1
),Γ
in reases withσ
and is higher than one,whi h means that this morphology pattern tends to
in-hibitthethermalex hange. InFig.14,the rossesshow
thethermalapertureversus
H/A
usingthesamedataasfortheplotsshownby rossesin Figs.13and6.
D. Variability ofthe thermal behavior
Statisti al thermal results are omputed for
numer-ous ases (more than
20 000
) whose ma ros opihy-drauli apertures are presented in IVC for various
σ/A
values.Similarly,anormalizedaveragema ros opi ther-malaperture,
Γ/A
,anditsstandarddeviationisobtained asfun tionofσ/A
. TheresultingΓ/A
fortheaspe tratioJ = 2
isdisplayedinFig.13,withbarsrepresentingthedoubleofthestandarddeviation. Forthesame
normal-izedroughnessamplitude
σ/A
,variousthermalbehaviors mayhappen,espe iallyforσ/A > 0.25
,with hannelsap-pearingornotanddimensionless thermallengthshigher
orlowerthan one. At rstorder,boththema ros opi
aper-0
0.2
0.4
0.6
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
H/A and
Γ
/A
σ
/A
Example
Γ
/A
Dataset
Γ
/A
Average
Γ
/A
Average H/A
Figure13: (Color online) Crosses: Variationof the thermal aperture
Γ/A
byin reasing the roughnessamplitudeσ/A
for the aperture patternshownin Fig. 4; Dots: Cloudof om-puteddata(about20 000
points)forfra tureswithaspe t ra-tiol
x
/l
y
= 2
;Triangles: Averagethermalbehaviorwith vari-abilitybarsofthe loud;Squares: Averagehydrauli apertureH/A
versusσ/A
,re alledherefor omparison.0.4
0.5
0.6
0.7
0.8
0.9
1
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
H/A
Γ
/A
Example Γ/A
Dataset Γ/A
Average Γ/A
Γ=H
Figure 14: (Color online) Normalized thermalaperture
Γ/A
versusH/A
forfra tureswithaspe tratiol
x
/l
y
= 2
. Crosses: Variation of the thermal aperture by in reasing the rough-ness amplitude for the aperture pattern shown in Fig. 4aversus
H/A
; Dots: Cloud of omputed data (about20 000
points); Squares: Average thermal behavior with variability bars. Continuous urve:
Γ/A = H/A
,whi hholdsforparallel platesseparatesbya(x, y) = H
.tures (Fig. 13, square symbols) are de reasing as
fun -tionsof
σ
. This trend is signi antly morepronoun edfor
H
than forΓ
. The thermal results are omparedwith systems equivalent in permeability (same
normal-izedhydrauli aperture) in Fig.14whi h representsthe
normalizedthermal aperture versusthehydrauli
aper-turewiththeaveragepoints omputedinsidewindowsof
size
0.05 H/A
. Themoststrikingresultisthatroughnessinhibitsthermalization: nearlyallthe loudisabovethe
ontinuous urve
Γ = H
,whi hmeansthatthethermal-izationoftheuid(thermalizationisobtainedwhenthe uidtemperaturerea hesthero kone)isinhibited
om-paredtowhatweexpe tfromthehydrauli behavior.In
thesame time, we note that, on average,
Γ/A < 1
, i.e. mostoftheaperturesexhibitanenhan edthermalizationomparedtowhatwouldbeexpe tedwithamodelofat
fra turesseparatedby
A
,i.e. havingthesamegeometri (orme hani al)aperture.E. Inuen eofthe fra tureaspe tratioon the
thermalbehavior
0
0.2
0.4
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
Γ
/A
σ/A
l
x
/l
y
=2
l
x
/l
y
=1
l
x
/l
y
=0.5
Figure15: (Coloronline)Averagesofthenormalizedthermal aperture
Γ/A
and theirdeviationbarsversusσ/A
forvarious aspe tratiosJ = l
x
/l
y
,as indi atedbythe labels. Seehow theaverageis omputedinIVC.0.6
0.8
1
1.2
0.6
0.8
1
1.2
1.4
1.6
H/A
Γ
/A
l
x
/l
y
=2
l
x
/l
y
=1
l
x
/l
y
=0.5
Γ=H
Fit H<A
Fit H>A
Figure16: (Coloronline)Averagesofthenormalizedthermal aperture
Γ/A
andtheirdeviationbarsversusH/A
forvarious aspe tratiosJ = l
x
/l
y
,asindi atedbythelabels(seehowthe average is omputedinIVC). ModelslinesareΓ = 0.9H +
0.2A
forH < A
andΓ = 3.5H −2.4A
forH ≥ A
;no ontinuity onditionbetweenbothlinesisimposed.We omplete our study by omputing the averaged
us-ing the hydrauli ows omputed in IVD. The aver-aged valuesof thethermalapertures, with the
variabil-ity bars (dened similarly to what is done in VD) for
J ∈ {0.5, 1, 2}
are plottedin gs. 15and16. WhenΓ/A
is plotted as a fun tion ofσ/A
(Fig. 15), variousther-mal behaviorsare observed,a ordingto the aspe t
ra-tio,with high variability, parti ularlywhen
σ/A > 0.25
.On the ontraryto fra tures with aspe t ratio equalto
J = 2
(des ribedinVD)theones withJ
in{0.5, 1}
are morelikelytoinhibitthethermalization omparedtoat fra tureswiththesameme hani alaperture(Γ/A > 1
).Figure16 showstheaverageof
Γ/A
versusH/A
.Con-trarilytowhat anbeobservedfor
Γ/A
vsσ/A
(Fig.15),theaverage urves
Γ/A
vsH/A
areroughlyindependentontheaspe tratio. Thisshowsthatthehydrauli aper-tureisabetterparameterthantheroughness
σ/A
to as-sess thethermalproperties.Thethermalapertureis sys-temati allylargerthanthehydrauli aperture(Γ > H
).It means that on e the permeability known, e.g. by
pumpingtests,usingaparallelplatemodelseparatedby
H
forestimatingthethermalbehavioroverestimatesthee ien y oftheheatex hange: theuid needsindeeda
longerdistan etobethermalizedthanexpe tedfromat
fra tureswiththesamepermeability. Onaverage
Γ/A
vsH/A
ismonotoni (Fig.16),i.e. thisaveragedependen e displaysasimplerbehaviorthanforaparti ular aseof morphologyofvaryingamplitude(e.g. Fig.14, rosses).Going more into details, Fig. 16 also shows that for
H/A > 1
,theslopeofΓ
vsH
issteeperthanforH/A < 1
; bothpartsofthe urve anbemodelledwithstraightline ts(dottedanddot-dashed urves). This ouldbe inter-pretedasfollows: fra tureswithhighhydrauli apertures provide highvelo itiessothat uidparti les needto gofurther to rea h the ro k temperature. Fra tures with
small hydrauli apertures
H/A < 1
mightbedominatedby small me hani al apertures (fen es) providing small
velo ities,whi hleadstothermalapertures losertothe line
Γ = H
.VI. DISCUSSIONANDCONCLUSION
A. Modellimits andpossibleextension
Despitethehydrauli lubri ationhypothesiswhi h
im-plies notably a low Reynolds number, the uid
velo -ityshould notbe toosmall. Indeed, thevelo itydrives thein-planethermal onve tion,whi hissupposedtobe
large omparedtothein-planethermal ondu tion.This
an be quantied by the Pé let number (ratio between
the hara teristi time of diusion and adve tion): our
modelisvalidatlowin-planePé letnumber. Therefore, owingtoin-plane ondu tion,thethermal hanneling ef-fe tmightberedu edespe iallyin aseofhigh
temper-ature ontrastalongthe hannel andverylowhydrauli
ow. Thishomogenizationmightbereinfor ediftheuid temperatureisstillinhomogeneousbutvery losetothe
ro k temperature: in this ase the in-plane ondu tion
inside the uid mightbe ashigh as the ondu tion
be-tween ro kand uid. Free onve tion (temperature
de-penden eof
ρ
),whi hisnottakenintoa ounthere,may alsointervene,espe iallyforthi kfra tures [56℄.Inpra ti e,some3Dee tsmighthappenasthe
lubri- ationapproximationis notne essarilyrespe tedowing
tothero kmorphology,(e.g. [23,24℄). Innatural ases, theroughnessamplitude
σ/A
oversalargerangea ross thenatural ases,fromsmalltolargevaluesa ordingto thetypeofro kandfra tures. Forinstan e,were ently measuredtheroughnessamplitudeofnaturalfra turesinbla kmarl at borehole s ale,and weobtainedvaluesof
σ/A < 0.04
foroneandσ/A = 0.3
for anotherone [22℄. Someother values, typi allyσ/A > 0.4
, havealso been reported for instan e in graniti ro ks [57, 58℄. If the aseswithlargeroughnessamplitudesalso orrespondtolarge lo al slopes (angle between the fra ture side and
theaverage plane), it is likelythat the Reynolds
equa-tionand2Dtemperatureequationdoesnotapplysowell
tothese ases,andthattheresultsreportedhereareonly
approximateforthose.
When the fra ture morphology is highly developed,
duetomoresurfa eex hange,thero kmightlo ally
pro-videbetterheatex hange. Theassumptionofaveraging
thermalphenomenain2Dhasbeenstudiede.g. byVolik
orSangareet al. [59, 60℄, who onsidered only
ondu -tion. The3Dsolvingof thefullNavier-Stokesand heat
adve tion-diusionequationsisalsopossible,forexample
witha oupledlatti e-Boltzmannmethod[61℄. However,
onsideringthe omplexityoffra ture morphologyfrom
verysmall s alesto largeones requires heavy
omputa-tions,whi h makesstatisti al resultsdi ult to obtain.
When onve tionalso a ts, 3Dee ts lead to zones
de- oupledfrom the main mass andheat ux,asthe uid
mightbeblo kedintoeddies(olubri ationregime)
pro-voked by sharp morphologies [23, 2932℄ (like Moatt
eddies[62℄). Ithasindeedto benoti edthat evenwhen lowpressuregradientisimposed,turbulentowmightbe
observedduetohighroughnessamplitude. Thisee tis
omplementary to observations made at high Reynolds
number[6366℄,when evenaverylowroughness
ampli-tudeofthewallindu es turbulentow.
Alltheresultsaboutthethermalaperturemayalsobe
inuen edbythethermal boundary onditions. In
par-ti ularwehaveassumedthat
T
r
is onstant. Spatial vari-ationsofT
r
aneasilybetakenintoa ountby hangingthe boundary onditions of the thermal equation while
temporal variations require to model the ro k getting
olderinthesurrounding( onsequen esofthero k diu-sivity). Intime, thehypothesisof onstanttemperature
T
r
holdseitherforveryshortdurationswhentheregime istransitory,orforlongerdurations,atquasi-stationaryregime,when the ro k temperature evolvesveryslowly
andtheuidtemperatureadaptsfast. Thisisthe aseif thesolidismu hmorethermallydiusivethantheuid, whi h is quite true in our ase: for instan e, the ratio
of the granite thermal diusivity over the water one is