new technology evaluation for sagd facilities in oil sands
TRANSCRIPT
AnInnovativeApproachtoEvaluateNewTechnologiesinSAGDPlants
AlbertoAlva-Argaez,MaryamMahmoudkhani
COSIA–AIEESWaterConference.March22-23,2016
Outline
• Introduction:OilSands– SAGDfacilities• Objective• Integratedapproachinprocessoptimizationandtechnologyevaluation
• HowtoevaluateGHG,waterandoperationalcosttrade-offs?
• “SurmontTriOpti”Tool• Nextsteps
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SteamAssistedGravityDrainage(SAGD)
• ThermalproductiontechnologytoextractbitumenfromAlberta’ssubsurfaceoilsandsdeposits
3
Wellpad OilTreating
De-oilingWaterTreating:Lime-Softening/
Evaporator
SteamGeneration(OTSG)
Emulsion:Bitumen+Water
ProducedWater
DeoiledWaterBFW
Steam
Make-upWater
Wastetodisposal
SalesOil
DiluentDiluent
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Objective• Bettertoolsrequired:
– forcombinedanalysisofwaterandenergysystems,includingoperatingcosts andenvironmentalimpacts(i.e.trade-off)
– toidentify opportunitiesforreducingOpEx
– toimprovemethodstoholisticallyevaluatenewtechnology
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Whytrade-offanalysisforOpEx-GHG-Water?
• Highlyintegratedhydrocarbonandwatertreatmentunits
• Highdegreeofheatintegration– Optimizingforenergyconsumptionmaynotresultinthebestprojectsduetotheimpactsonwaterconsumptionandoveralloperatingcost
– Increasingwaterrecyclemayincreaseenergyusage,(i.e.greenhousegasemissions)
• Identifyingthebestenvironmentalandeconomictradeoffrequiresan“IntegratedApproach”
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Simulationvs.Optimization
FindshortestpathbetweenAandB
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Simulationvs.Optimization
– Squaresystemofequations
– Nodegreesoffreedomavailable
– Userspecifiesallparameters
• E.g.splitfractionforrecyclevsdisposal
– Morevariablesthanequations
– Manydegreesoffreedommaybeavailable
– Solutionfoundagainstanobjectivefunction
– Optimalvaluesforparameterstominimizeobjectivefunction
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Simulatorvs.SurmontTriOpti
– Generalpurposetool-compromise
– Fluidcharacterization-pseudocomponents
– Nocostelements,environmentalmetrics
– Unabletoenforceconstraintssuchas>=or<=.Onlytrialanderror
– SpecificallydesignedforSAGD– Fluidcharacterizationfitforpurpose:
• Bitumen:Tailormademodels• Water:Rigorouscorrelations• Gas:Peng-Robinson• Ions:Separatespecies
– Fewercomponents- efficientcalculations
– Integratedcostandenvironmentalmetrics
– Optimization-based.Constraintsdefinitionbuiltin
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Optimizationapproach
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2
PW Disposal
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PW Disposal
Optimize (min OpEx)
Decisionvariables– waterflowrates
Optimizationmodels– GAMSorMatlab platformandfiles
• UMIST• UofCCollaboration
Challenges:
- Update/maintainmodels- Interpretationofresults- Convergenceofgeneralsolvers- Difficulttoshareresults
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Ourapproach:SurmontTriOpti
- TriOptiisacustomsoftwarewithafullyflexible,modernuserinterfacetodefineprocessmodels,provideinputparametersandvisualizeresults.
- RobustoptimizationenginebasedonProcessEcology’sin-housealgorithms
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Simpleuserinterfaceandworkflows
SoftwareElements12
GraphicalUserInterface
Simulation- calculationengine“Xtrema Engine”
Optimizationalgorithms
p-graphs
Thermodynamics
Mass/Energybalances UnitOperations
Physicalproperties
SystemBoundaryOil
Producedwater
Makeupwater
SkimTank
ORF/IGF
WLS/AF
WAC
OTSG
Disposal
Steam
Blowdownrecycle
BFW
FWKO Treater
Emulsion
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Modelsonlyasdetailedasnecessary• MassandEnergyBalances• Customizedphaseequilibrium• Reduced“Component”slate(bitumen,diluent,fuel,waterquality)
• Simplemodelsfortreatmenttechnologies• Pumpenergy,chemicalsusageanddisposalcost-simplefunctionsofflowrate
• PiggingfrequencyfunctionofblowdownrecyclerateorinletBFWqualitytoOTSG
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SurmontTriOpti• Efficientevaluationofnewtechnologies
• Identifynovelopportunitiesandalternativesforopexreduction
• Lesstrialanderrorinsimulations– moreprocessunderstanding
• Platformtosearchforbetterprocesses
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