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Thermal conductivity and porosity maps for different

materials: A combined case study of granite and

sandstone

Sébastien Haffen, Yves Géraud, Michel Rosener, Marc Diraison

To cite this version:

Sébastien Haffen, Yves Géraud, Michel Rosener, Marc Diraison. Thermal conductivity and porosity

maps for different materials: A combined case study of granite and sandstone. Geothermics, Elsevier,

2017, 66, pp.143-150. �10.1016/j.geothermics.2016.12.005�. �hal-02457295�

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Thermal

conductivity

and

porosity

maps

for

different

materials:

A combined

case

study

of

granite

and

sandstone

Sébastien

Haffen

a,b,

,

Yves

Géraud

a

,

Michel

Rosener

c

,

Marc

Diraison

d

a GeoRessourceslab.,UMR7359,EcoleNationaleSupérieuredeGéologie,UniversitédeLorraine,CNRS,CREGU,2RueduDoyenMarcelRoubault, Vandœuvre-lès-Nancy,

F-54501,France b TeranovSAS,2RueduDoyenMarcelRoubault,Vandœuvre-lès-Nancy,F-54501,France c 78,84e AvenueEst,Blainville,QcJ7C3T3,Canada d InstitutdePhysique

duGlobedeStrasbourg(IPGS),UMR7516CNRS-UniversitédeStrasbourg/EOST,5rueRenéDescartes,StrasbourgCedex67084,France Keywords:Thermalconductivitymap, Porositymap, Heterogeneity, Geothermal

a

b

s

t

r

a

c

t

Thankstothermalconductivitymaps,obtainedfromOpticalScanningmethod,and porositymaps, inferredfromthermalconductivitymaps,wehavestudiedpetrophysical heterogeneitiescommonly presentinagraniticandsandstonegeothermalreservoir(fault zoneandpermeablelayers,respectively). Themapsalloweddeterminationofthermal conductivityandporosityvariationtomillimeterresolution,atacorescale.They permittedprecisequantification and determination ofthesize ofpetrophysical heterogeneities(thermalconductivityandporosity)inducedbyrockvariability.

.

1.Introduction

Inthecurrentcontextofcommitmenttosustainableandrenewableenergy, manycountriesworldwidearedevelopinggeothermal energy(Dicksonand Fanelli,2003;Lundetal.,2011;Bertani,2012). Toenhanceandensurethe economicandtechnicalviabilityof theheatexchangeratdepth,itappears importanttoimprovethe knowledgeofthermalandhydraulicpropertiesofthe targeted reservoirandtheirbehaviorsduringtheexploitationperiod(see for exampleBirsch,1966;CermakandRybach,1982;Haeneletal., 1988;Clauserand Huenges1995;Clauser2006;Hartmannetal., 2008).Indeed,theseproperties playamajorroleintheplanningof geothermalinstallationandingeothermal modeling.

Throughageothermalreservoirexchanger,fluidflowsoccurin thefractures and faultsconnectednetworkand indifferent sedimentarylevelsofhigh permeability(Haffenetal.,2013;Siffert etal.,2013).Thesefluidspresent differenttypesofdisequilibrium withrespecttothesurroundingrocks,aswellto temperatureand chemicalcomposition.Indeed,interactionprocessesbetween fluidsandrock,whichoccurovertimeintheporousspaceconnected

tothemainfluidflowzone(masstransferinducedbydissolutionandprecipitation phenomenaormechanicaldisplacementof clayedparticles),canprovokedamageto theheatexchangerby modifyingitspermeabilityandalsoaffectthesurfacepower plant (NortonandKnapp,1977;Norton,1979;SeibtandKellner,2003; Ungemach, 2003;Fritzetal.,2010;Civan,2011;Meieretal.,2014).

Thus,thermalconductivityandporositymapsappeartobetwo keyparameters, sincetheyallowtheimprovementofthetargeted rockcharacterization,notablyfrom information(quantification andsize)aboutpotentialrockheterogeneities.

Variousexperimentaltechniquesallowedthecharacterizationofthethermal conductivityandporosityofrocksamples (ZinsznerandPellerin,2007;Tritt,2004). WedevelopedanewnondestructivemethodbasedonOpticalScanning(Popovetal., 1999), toquicklymapthethermalconductivityandporosityofsamples. Wepresent theacquired2Dthermalconductivitymapsandthe computed2Dporositymaps.

Inthispaper,wepresentresultsfortwokindsofrock:graniteandsandstone,which both have specific structures (fractures and sedimentary heterogeneities, respectively).Theserocksare ofspecialinterestbecause,forcontinentalEurope,high enthalpy geothermaltargetsarelocatedinthedeeppartofthesedimentary basin,its basementanditslowerlevels,includingthebottomof thesedimentarycover,whichis generallysandstone(Genteretal., 2003;Bourquinetal.,2011).

2.Geologicalsettingandthermalconductivity/porosity mapselaboration

2.1.Sampledescription

Theselectedsamplesareexpectedtoillustratetwokindsoffluid flownetworksin deepgeothermaltargets.First,agranitesample affectedbyafracturezonewithquartz infillingattheedgeofan openfractureisakindofstructurecurrentlydescribedin granitic geothermalfields(Géraudetal.,2010).Second,asandstonesample is analyzed,whereasedimentologicalheterogeneitywasinduced bygrainsize variation.

Thegranitesample(K195-4777)wastakenfromtheEPS1 borehole,partofthe deepexperimentalgeothermalsiteofSoultzsous-Forêts(France)intheUpperRhine Graben(Genterand Traineau,1992;Rosener,2007)(Fig.1a).Thesampleislocated approximately 2162 m deep, in a granite zone that corresponds to a silicified/cataclasedhydrothermalalterationfacies(Rosener, 2007).Thisallowsthe differentcompartmenttypicallyencounteredinfaultzonestobestudied:theprotolith, thedamagedzone andthefaultcore(Caineetal.,1996;Géraudetal.,2010;Faulkner et al.,2010).Thesampleisdividedintothreezones(Fig.1a). Zone1correspondstoa damaged zoneand isanalteredzone composedof massiveorangefeldspar (orthoclase)associatedwith alteredfeldspar,somesmallsecondaryquartzandblack mica.It hasanincreaseinporosityduetoanalterationprocessinduced by hydrothermalfluids.Zone2ischaracterizedbyasizableconcentrationofsecondary quartzandhardlyanyalteredfeldspar.It correspondstotheprotolith.Zone3showsa partiallysealedlocalizedquartzfaultcore.

Thesandstonesample(EPS161)alsocamefromtheEPS1borehole(Haffen, 2012)(Fig.2a),andwasextractedatadepthof approximately1214m,fromthe Buntsandsteinsandstonesformation:“GrèsVosgiens”facies(Vernouxetal.,1995;

Bourquin etal.,2006).Thepetrographicfaciescorrespondstoclayedcoating sandstonealternatingwithcleansandstone(seeHaffen,2012; fordetails).Thesample canbedividedintotwozones(Fig.2a):zone 1iscomposedmainlyoffinetoveryfine darkbrowngrainedsandstone,andzone2ismainlymadeofmediumtofinebrown grained sandstone.Asmallfaultismarkedbyagapofapproximately5mm, whichis sealedoffbyextremelythinbariteprecipitation.

2.2.Measurementtechniques:thermalconductivityscanner (TCS)

OpticalScanningmeasurementsperformedwithaTCS(Popov etal.,1999;Popov etal.,2003)deliveralargesetofthermalconductivityvaluesfasterthanclassical laboratorytechniques,suchas withadivided-baroraliningsource(Sassetal.,1971, 1984).The OpticalScanningapparatuscorrespondstoamobileblockcomposedof twotemperaturesensorsoneithersideofaconstantand continuousheatsource.These threefixedelementsarelined-up onthemobileblock,paralleltothemobile displacementaxis.The blockmovesunderarailonwhichthesampletobemeasured

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had beenpreviouslyplaced.Heatsourceandtemperaturesensorsmove at the same relative speed (TCS mobile block velocity: 4.99mms−1)

alongthescanningsurface,whichismaintainedataconstantdistancefromboth sensors.Thus,measuringthesampletemperature beforeandafteritsheatingis renderedfeasible.Thesedata,associatedwiththoseofthetwostandardssituated eithersideofthe measuredsampleandhavingathermalconductivityknowntobe closetothatofthesample,allowcalculatingtheabsolutethermalconductivityofthe sampletobecomepossible.Thistechnique thereforepermitstheobtainmentofa profileofthermalconductivityofthesamplealongascanline,witharesolutionof1 mm. Thescanlineisatamaximumof500mm,duetothelengthofthe apparatus,while therelativemeasurementerrorisapproximately 3%ofthemeasuredvalue(Popovet al.,1999).Theroomwheremeasurementswerecarriedoutwaskeptataconstant

temperature (20◦C±1◦C).Duringthemeasurements,theincreaseinsample temperaturewaslimitedto3◦C,rangingfrom20±1◦Ctoamaximumof23±1◦C.Abrief coolingtimewassystematicallyimposed betweentwoscanlinestorestricttheheating ofthesampleand ofthestandards.Thermalconductivityvariationsinducedbythe heatingofthesampleduring themeasurementwere neglected, sinceatthis temperaturerangethethermalconductivityvariation isinferiortothemeasurement error(VosteenandSchellschmidt, 2003).

2.3.Thermalconductivityandporositymap 2.3.1.Method

Thermalconductivityinrocksdependsmainlyonthreeparameters(e.g.

Farouki, 1981; Brigaudand Vasseur1989; Clauserand Huenges, 1995; MidttommeandRoaldset,1998):mineralogical composition,porosityand texture.Otherparameterscanalsocontrolthethermalconductivityofrocksaspore fluidspropertiesand structural/texturalpropertiesof rocksincludingrockanisotropy Theporosityofarock canbeestimated(SchärliandRybach,1982) atconstanttemperatureandpressure, usingcomparisonsbetween thermalconductivityvaluesobtainedforair-and water-saturated samples,whilemineralogyandothermicrostructuralparameters aretakenasbeingconstant.Foreachstate,thegeometricmean modelbasedon mixinglaws(Eq.(1),ClauserandHuenges,1995) isconsidered,asfollows: = × 1− (1) f

where (Wm−1 K−1)istheeffectivethermalconductivity,

f

(Wm−1 K−1) is the thermal conductivity of the fluid (air or water)

1 1

presentintheporosity((−)),andm (Wm− K− )isthethermal conductivityofthesolidmatrix.

Forasample,afirstsetofthermalconductivitymeasurementsunder air-saturatedconditionsandasecondsetofthermal conductivitymeasurementsunder water-saturatedconditionsare necessaryandtheseleadtotheporositycalculation (Eq.(2))asfollows(PribnowandSass,1995;Pribnowetal.,1996;Surmaand Geraud,2003;Haffen,2012):

satdry

= (2)

watair

1 1

wheresat (Wm− K− )isthethermalconductivityofthewater- saturated sample, (Wm−1 K1) is the thermal conductivity of

dry

theair-saturatedsample,wat isthethermalconductivityofwater (0.6Wm−1 K−1,ClauserandHuenges,1995)and is the thermal

air conductivity of air (0.02Wm−

1 K1,

Clauser and Huenges, 1995).

Thus,tocalculateporosity,wehaveconsideredasimplifiedcase, without needingtobuildanempiricalmodel(Somerton,1992).Satisfyingresultswere obtainedwiththeappliedmathematicalmodel, basedonamixinglaw(Pribnowet al.,1996;Hartmannetal.,2005).

Thismathematicalmodel(Eq.(2))wasusedtodeterminethe meanporosity valuefrommeasurementsofthethermalconductivityinbothdryandwetsamples. Here,weusetheOpticalScanning methodtomeasurethethermalconductivity. Fromthesemeasurementsandtheexperimentalmeasurementprotocolfirst proposed byRosener(2007),wecanbuilda2Dporositymapfrom2Dthermal conductivitymaps.Thisapproachletusobservemillimeterscale variationsof thermalconductivityandporosityforpluri-decimeter rocksamples.

thewatersaturatedgranitesample;(d)Computedporositymapofthegranitesample. Fig.1.(a)Analyzedsurfaceofthegranitesample;(b)Measuredthermalconductivitymapoftheairsaturatedgranitesample;(c)Measuredthermalconductivitymapof

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2.3.2.Mapconstruction

Beforemeasurements,surfacesofthesamplesthatweregoing tobe mappedweresawedwithadiamondsawandthesurfaces werecarefully brushedtoremovedust.Sothatallthesurfaceshave thesamealbedoandto avoidinterferencewiththemeasurements theywerepaintedblackwithspray paint,suchthatpaint-crushing thicknesswaslimited.Thenthesampleswere driedat60◦Cuntil theyreachedaconstantweight.Severalhoursbefore startingthe test,thesampleswereplacedinthemeasurementroom,soasto keepthematthermalequilibriumunderdryconditions.

ThesampleswerefirstplacedontheTCSrail,atthebeginning ofthe measurements.Aprofileofthermalconductivitywasthen determinedalonga

scanline(line000),ateachmillimeter(point1, point2,etc.,tothemthpoint). Later,withgreataccuracy,thesampleswereshifted1cmperpendiculartothe measurementaxisand anewprofilewascreated(line010).Themeasurement sequence hasbeendefinedasfollows(Fig.3): line000,line010,line020, line030,etc. line001,line011,line021,line031,etc. line002,line012,line022, line032,etc. line003,line013,line023,line033,etc.

...

untilthesurfaceswerecompletelyscanned.Thissequence wasdevelopedtolimit theheatingofthesample,whichcould

Fig.2.(a)Analyzedsurfaceofthesandstonesample,blackdottedlineindicatesthesealedfault;(b)Measuredthermalconductivitymapoftheairsaturatedsandstone sample;(c)Measuredthermalconductivitymap ofthewatersaturatedsandstonesample;(d)Computedporositymapofthesandstonesample.

Fig.3.(a)Photographofagranitesamplepreparedformeasurement,(b)Schematicrepresentationofthesample’sscannedsurface,indicatingthepositionofthemth measuredpointofthenthmeasuredline.

modifythethermalconductivitywithanincreaseintemperature (e.g.Abdulagatova etal.,2009).Asaresult,eachmeasuredpointis about1mmawayfromtheother measuredpointssurroundingit. Thesedataledtoa2Dthermalconductivitymapof air-saturated samples(nline×mpoint/line)witharesolutionof1mm.

Afterobtainingthefirstthermalconductivitymap,thesamples were water-saturatedbysubmergingthemindistilledwaterinside asealedvacuumchamberfor48 h.Thethermalconductivitymaps forwater-saturatedsampleswerederivedsimilarly totheprevious drytest.Theobjectivewastoaccuratelysuperposethetwomeasured

surfaces:lineXXX(underdryconditions)hadtobeinstrictly thesamepositionas lineXXX’(underwater-saturatedconditions). Tolimittheevaporationrisk,each sample except the measured surfaces waswrapped in plastic film.Weight measurementtests, performedonwater-saturatedsamplesbeforeandafterthermal conductivitymeasurementsindicatedthatwaterlosswaslower than1%.

Thermalconductivitymapscouldbedrawnforeachsample, underair-and water-saturated conditions and a porositymap could be computed fromthese by transformingEq.(2)inthefollowing way(Eq.(3)):

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ln(sat)dryi,j

i,j = (3)

wat

wherei,j (−)istheporosityatthemthpointofmeasurementof thenthline,(sat)i,j (Wm− K− )isthethermalconductivityofthe

1 1

water-saturatedsampleatthemthpointofmeasurementofthe nthlineand(dry)i,j (Wm−

K− )thethermalconductivityofthe

1 1

drysampleatthemthpointofmeasurementofthenthline.

2.3.3.Watersaturationtest

Foreachsample,themeanporosityvalueobtainedfromthermal conductivity measurementscouldbecomparedtothetotalporositymeasuredfromthewater saturationtest(Melnyk andSkeet, 1986).This valuewasobtainedfrom an experimentalprotocol basedonthewatersaturationofasampleaftervacuum degassing. Initially,samplesweredriedat60◦Cuntiltheirweightbecameconstant(m1 ing)andwerelaterplacedinavacuumchamberfor 24h(afterthermalconductivity measurementswereperformed ondrysamples).Inthemeantime,distilledwaterwas degassed andthenusedtofillthesamplesbycapillarity.Thelevelofwater inthe sampleswasregularlyadjustedaccordingtothecapillary fringe.Oncetheywere entirelysubmersed,thevacuumwasbrokenandthesamplesretainedinwaterfor24h untiltheyreacha constantweight.Priortothermalconductivitymeasurements being carriedoutonwater-saturatedsamples,thesampleswere weighedtwice:firstly, under water-saturatedconditions(m2 in g) andsecondly,under hydrostatic conditions(m3 ing).Porosity( in%)wascalculatedasfollows(Eq.(4)):

m2 −m1 × 100 (4) m2 −m3

3.Results

UsingTCS,bothair-and-watersaturatedthermalconductivity2Dmapswere obtainedforthegraniteandsandstonesamples. Fromthesemaps,aporosity2D mapwascalculated.Histogramsof thermalconductivityandporositydistribution wereplottedfrom thepreviousmaps,todefinearelationshipbetweenporosityand mineralogy.

Forthetwosamplesanalyzed,statisticaldataofthermalconductivityand porosityaregiveninTable1.Thermalconductivity andporositymapsforthe graniteandsandstonesamplesare presentedinFigs.1and2,respectively. Histogramsofthermalconductivityandporositydistributionforthegraniteand sandstone samplesaregiveninFigs.4and5respectively.Thedistribution of thermalconductivitydependingonporosityisalsogivenin Figs.4and5, respectively,forthegraniteandsandstonesamples.

3.1.Granitesample

ThethreestructuralzonesdescribedinFig.1awereidentifiedonthermal conductivitymapsofthesampleunderbothairandwater-saturatedconditions (Fig.1b,c).Thethermalconductivity values for zone 1 ranged from about 1.80– 3.60Wm−1 K−1 for

the air-saturated sample and from about 2.00–4.25Wm−1 K−1 for

thewater-saturatedsample.Forzone2,thethermalconductivity values ranged from about 3.60–5.00Wm−1 K−1 and from 3.75 to

5.25Wm−1 K−1 for the air- and water-saturated samples, respec-

tively.Thethermalconductivityvaluesforzone3rangedfrom about 3.60–4.90Wm−1

K−1 and from about 3.75–5.50Wm−1 K−1

forthesamesamples.Theporositymap(Fig.1d)indicatesthatthe valuesofzone1 rangedfromzerototen%,thoseofzone2ranged betweenzeroandfive%andthe porosityvaluesofzone3ranged fromzerouptoabouteight%.Thus,thequartz cementationin the matrix (zone2)tended toincrease thelocal thermal conductivity andtodecreasethelocalporosity,whileconverselyfeldspar alterationdecreasedthelocalthermalconductivityandincreasedthe local porosity(zone1).

Histogramsofthermalconductivitydistribution,underbothairand water-saturatedconditionsforthegranitesample(Fig.4a,b) presentedthesamebimodal globaltrend,withtwowell-marked peaksofmeasuredthermalconductivity values.Intheair-saturated case (Fig. 4a), peaks were centered on 2.90 and 4.17Wm−1 K−1,

with a gap of about 1.27Wm−1 K−1. In the water-saturated case

(Fig. 4b), peaks were centered on 3.25 and 4.50Wm−1 K−1, with

a gap of about 1.25Wm−1 K−1. A comparison between thermal

conductivityhistogramsandmapssuggestedthatforbothairandwater-saturated cases,thelowervaluepeakscorresponded tozone1,composedmainlyofmassive feldsparassociatedwith alteredfeldsparandsomesmallsecondaryquartz (theoretical thermal conductivity values: Quartz=7.8Wm−1 K1, Feldspar-

Table1

Statisticaldataofthermalconductivityandporosityforthetwostudiedsamples(std.:standarddeviation;m1:weightoftheairsaturatedsample;m2:weightofthewater saturatedsample;m3:weightofthesampleunder

hydrostaticcondition).

Sample Scanned surface

(length×width) (mm)

Thermal conductivity map (W m−1 K−1)

Saturation mean std. min. max.

Porositymap(%)

mean std. min.

max.

Waterporosity

m1 (g) m2 (g) m3 (g) (%) Granite (K195-4777) 180 × 50 air water 3.49 ± 0.10 3.81 ± 0.11 0.70 0.72 1.84 2.04 6.36 7.08 2.87 ± 0.14 1.52 0.01 9.85 602.80 609.61 374.67 2.90 ± 0.09 (EPS1 6 1) 181×61 4.283.13±±0.130.090.180.23 2.533.59 4.93 9.27±0.46 1.98 0.72 16.22 1048.45 1092.44 649.08 9.92±0.30

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147

K=2.3Wm−1 K−1, Clauser and Huenges, 1995; Fjeldskaar et al.,

2009).Atthesametime,peaksofthehighervaluesofthermalconductivity,forboth air-andwater-saturatedcases,corresponded toamixtureofzone2andzone3,both mainlycomposedof quartz.Thegapbetweenthetheoreticalandmeasured thermalconductivityinthesetwozonescanbeexplainedbythe porosityandthe presenceofsmallamountsoffeldsparand mica,whichhavelowerthermal conductivityvaluesthanquartz andcanmodifythecontactbetweengrains

(theoretical thermal conductivity values: Biotite=2.3Wm−1 K−1, air=0.02Wm−1 K−1,

water=0.6Wm−

1 K1,ClauserandHuenges,1995;Fjeldskaaretal.,

2009).Thehistogramofporositydistribution(Fig.4c)showsaunimodalglobaltrend (Gaussianshape)withamaximumofcalculated pointsforaporosityvalueofabout 2.60%.Thisbehaviorcanbe explainedbyconstantgapsbetweenpeaksofthermal conductivity, whateverthesaturationcondition.Thesaturationofthesampleby waterprovokedalinearincreaseinthermalconductivityinallthree structuralzonesof thesample.Thedistribution ofthermalconductivity(air-saturatedcondition) dependingontheporosity(Fig.4d)

Fig. 4. Granite sample: (a), (b), distribution of measured thermal conductivity values, in the air and water saturated sample respectively (column width: 0.05Wm−1 K−1);

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Fig. 5. Sandstone sample: (a), (b), distribution of measured thermal conductivity values, in the air and water saturated sample respectively (column width: 0.05Wm−1 K−1);

(c)distributionofthecalculatedporosityvalues(columnwidth:0.25%);(d)relationshipbetweencalculatedporosityvaluesandmeasuredthermalconductivityvaluesof theairsaturatedsample.

indicatedaglobalbutnotwell-markeddecreaseofthermalconductivity,whilethe porosityincreased(simplelinearregression: ThetwopeaksobservedinFig.4aandb werealso denotedbyapoorly-markeddecreaseofthermal conductivityanda porosityincrease.Thus,mineralogicaldistributionthroughoutthe sampleplaysamajorroleinthethermalconductivity,whereasthe porosityisless sensitivetomineralogicaldistribution.

Themeanporosity(Table1)calculatedfromthermalconductivitymapsis2.87± 0.14%,closetothewaterporosityvalueof 2.90±0.09%.

3.2.Sandstonesample

ThetwozonesdescribedinFig.2acouldbeidentifiedon thethermalconductivity mapofthedrysample(Fig.2b).Zone 1indicatedthermalconductivityvaluesranging between3.20 and 4.00Wm−1 K−1 whereas zone 2 showed thermal conductivity

values ranging from 2.60 to 3.50Wm−1 K−1. The thermal conduc-

tivitymapofthewater-saturatedsample(Fig.2c)appearedmore homogeneousthan thatofthedrysample.Inzone1,thethermal conductivity values ranged between 4.10 and 5.00Wm−1 K−1

whereasinzone2valueswerecomprisedbetween3.75and 4.80Wm−1 K1. The porosity map (Fig. 2d) displayed two main

zoneslocatedatthelevelofthemainstructures(Fig.2a).Zone1had porosityvalues rangingbetweentwoandten%whereastheporosityvalueswerecomprisedbetween nineandfifteen%forzone2. However,thesmallfaultdoesnotappearonthermal conductivity andporositymaps.Thus,thedecreaseinthegrainsize(fromzone 2to zone1)resultedinanincreaseinthethermalconductivity associatedwithadecreasein thelocalporosity.

Forthesandstonesample,histogramsofthermalconductivitydistribution underbothair-andwater-saturatedconditions (Fig.5a,b)presentedthesame unimodalglobaltrend,withone peakofmeasuredthermalconductivityvalues.In theair-saturated case (Fig. 5a), the peak showed a maximum at 2.9Wm−1 K1, while

inthewater-saturatedcase(Fig.5b),theequivalentwasabout 4.25Wm−1 K−1. The comparison between thermal conductivity

histogramsandmapsinair-saturationconditions,suggestedthat thelowervalues ofthermalconductivityinthepeakscorresponded tozone2,composedmainlyof mediumgrains,whereasthehigher valuesofthermalconductivitycorresponded tozone1,composed mainlyoffinegrains.Thesametrendwasless-markedunder water-saturationconditions.Thehistogramofporositydistribution (Fig.5c) showedaunimodalglobaltrend,withamaximumofcalculatedpointsfora porosityvalueofabout10.40%.Thelowervalues inthepeakofporosity correspondedtozone1,whereasthehigher valuescorrespondedtozone2.The globalhighvaluesofporosity inthesampleandthepresenceofaclayedcoating couldexplain thelowthermalconductivitymeasuredunderdryconditions (theoretical thermal conductivity values for Illite grains=1.9Wm−1 K−1,

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149

ClauserandHuenges,1995;Fjeldskaaretal.,2009)andtheincrease ofthermal conductivityvaluesunderwater-saturatedconditions (Thegapbetweenthe maximumthermalconductivityunderairor water-saturated conditions is about 1.35Wm−1 K−1). The distri-

butionofthermalconductivity(air-saturatedcondition) depending onthe porosity(Fig.5d)indicatedaglobaldecreaseofthermal conductivitywiththe porosityincrease(simplelinearregression: Thus,thegrainsizevariationin laminae, associatedwithmineralogicalsmall variations,ledtoa modificationinthethermalconductivityand porosity distributionatthe millimeterscale.Thesevariationsseemtobecontinuousatthe core scale.

Themeanporosity(Table1)deducedfromthermalconductivity mapsis9.27± 0.46%,closetotheporosityvalueobtainedfrommass weightduringawater saturationtest:9.92±0.30%.

4.Discussion • Mapconstruction

Thethermalconductivityandporositymapswereobtainedfrom successive measurements,throughthescanningofasamplesaturatedwithbothairandwater. TheTCSallowsmeasurementsof thethermalconductivityprofiletobemade,ata densityofone pointpermillimeter.Fromaprofilecarriedoutateachmillimeter, thecalculationofaporosityvalueforeachmillimetersquareof asamplesurfaceis madepossible.Foreachsampleanalyzed,relativelysimilarporosityvalueshave beendeterminedfromboth thermalconductivityandwatersaturationtests(Table 1).Nevertheless,variationsareobservedandthesecanbeexplainedby the followingthreeparameters:thefirstistheresultofthedifferencebetweenthe volumesinvestigatedbythetwomethods. Theentirevolumeofasampleis analyzedduringwaterporosity measurements,whereasamorelimitedvolume underthescanningsurfaceisanalyzedbythethermalconductivitymeasurements (Popov,1997),wherethevolumeinvestigatedis2.5cmmaximum thick.The secondinvolvesthemodificationofthecontactresistancebetweenthedifferent componentsofarocksampleresulting fromwatersaturationandcouldthusalter thethermalconductivitycharacteristics(e.g.Farouki,1981).Thethirdisinduced bya relativelysignificantgapbetweenthethermalconductivityofthe standards andthatofthesample:alargergapwouldtriggeramore extensivemistakeofthe thermalconductivityvalue.Indeed,forthe granitesample,thermalconductivity variationsbetweentheairandwater-saturatedconditionsarelowandinduceno changein standardswhentheexperimentalvaluesremainclosetostandard ones. Forthesandstonesample,therelativehighporosityofthe materialimpliesa changeinstandardsbetweentheair-andwatersaturatedconditions.Standards usedfortheair-saturatedsample measurementshavearelativelylowthermal conductivityvalue forthewater-saturatedsamplemeasurements.Thisgap induces theunderestimationoftheporosityfromthethermalconductivity measurements.

• Informationaboutsamples

Thegraniteandsandstonesamplesarebothmainlycomposed ofquartzand feldspar.However,thethermalconductivitymaps andhistogramsofthermal conductivitydistributionaredifferent, withabimodaldistributionforthegranite andaunimodaldistributionforthesandstone.Thesefeaturecanbeexplainedby the well-markeddifferenceofthermalconductivitybetweenquartz andfeldspar, associatedwiththesizeofthegrainsinthesamples: coarseinthegraniteandfineto mediuminthesandstone,and bythefactthattheTCScannotindividualizefine grainproperties (lowertoafew-millimetersinscale).

In granite and sandstone samples, the porosity distribution is quite heterogeneous,i.e.therearevariationsinthelocalizationof themost(andthe lesser)porouszones,althoughthedistribution oftheporosityisunimodalinboth cases. In the granite sample, the porosity is controlled by structural

heterogeneities:theporosityis mainlylocatednearthefaultalonggrainbordersin analteredzone wherehydrothermalfluidshavepartiallydissolvedthegrains.In the sandstone sample, the porosity is controlled by sedimentological heterogeneities:theporosityappearsaccordingtoalayered organization.Inside eachlayer,theporosityisquitehomogeneous. Theporosityvariesinfunctionof thefaciesdistributionandiscontrolledbygrainssizeinsideeachband.Thus, porosityvariations, insidebothsamples,arenot extremely‘cut’,thereis progressive transitionbetweenthemostandthelessporouszones,atthescale of thesample.

Inthegranitesample,constantgapsbetweenpeaksofthermal conductivity distribution,whateverthesaturationcondition,were observed.Thesaturationofthe samplebywaterprovokesalinearincreaseinthethermalconductivityinthestructural zonesof thesample.Thus,thepercentageincreaseinthermalconductivity inducedby waterishigherforthepeakcorrespondingtothelower thermalconductivity,i.e.the feldspar-richzone,thantheonecorrespondingtothehigherthermalconductivity,i.e. thequartz-rich zone.

Thethermalconductivityandporositymapspresentvaluesthat areinagreement withotherclassicalmeasurementsperformedon equivalentmaterials,usingthesame orothertechniques(Vernoux etal.,1995;Sizun,1995;SurmaandGéraud,2003; Haffen,2012). Nevertheless,themappingofthesephysicalpropertiesbringsmore information,notablyconcerningthelocationofthemost,orless, porousand conductivezonesinsamples.Thesezonescanbelinked tostructuralandpetrographic featuresandsoleadtotheimprovementoftheknowledgeoffluidandheatexchangesin reservoirs.

5.Conclusion

Fromthermalconductivityandporositymaps,wehaveput forwardtheimpactof petrophysical heterogeneitiescommonly present in a granite and sandstone geothermalreservoirs,i.e.fault zoneandpermeablelayersrespectively.Themaps allowthestudy ofthermalconductivityandporosityvariation,atmillimetric resolutionandatcorescale.Fromtwoscansofasamplesurface,in air-saturated conditionsontheonehand,andinwater-saturated conditionsontheotherhand, porosity maps can be established. These allow precise quantification and determinationofthesizeof thermalconductivityandporosityheterogeneities inducedbyrock heterogeneities.

Acknowledgments

Theauthorswould liketothankEEIGHeatMining andA.Genter (ES Geothermie),thescientificcoordinator,forallowingaccessto thecoresoftheEPS1 borehole.

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Figure

Fig. 1. (a) Analyzed surface of the granite sample; (b) Measured thermal conductivity map of the air saturated granite sample; (c) Measured thermal conductivity map of
Fig. 2. (a) Analyzed surface of the sandstone sample, black dotted line indicates the sealed fault; (b) Measured thermal conductivity map of the air saturated sandstone sample; (c) Measured thermal conductivity map of the water saturated sandstone sample;
Fig. 4. Granite sample: (a), (b), distribution of measured thermal conductivity values, in the air and water saturated sample respectively (column width: 0.05Wm − 1  K − 1 );
Fig. 5. Sandstone sample: (a), (b), distribution of measured thermal conductivity values, in the air and water saturated sample respectively (column width: 0.05Wm − 1  K − 1 );

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