Use of Analytical Models in Prospect Evaluation of Gas ...hydrates/MehranPresentation.pdf · A...
Transcript of Use of Analytical Models in Prospect Evaluation of Gas ...hydrates/MehranPresentation.pdf · A...
1
Use of Analytical Models in Use of Analytical Models in Prospect Evaluation of Gas Prospect Evaluation of Gas
Hydrate ReservoirsHydrate Reservoirs
Mehran Pooladi-Darvish
Hart Conference – Commercialization of Gas Hydrates
December 5, 2006, Houston
2
Prospect Evaluation:Prospect Evaluation:Realm of High UncertaintyRealm of High Uncertainty
Cumulative ProductionCumulative Production
Exploration/Exploration/Prospect EvaluationProspect Evaluation
TimeTimeReco
vera
ble
Rese
rve
Reco
vera
ble
Rese
rve
DevelopmentDevelopment OptimizationOptimization
Range of UncertaintyRange of Uncertainty
Limited DataLimited Data
Need for large number of runs Need for large number of runs and risk analysisand risk analysis
→→ Analytical ModelsAnalytical Models
3
ObjectivesObjectives
For a hydrate reservoir with underlying free gasFor a hydrate reservoir with underlying free gas
TARN
EILEEN
Gas HydrateFree GasOil
Hydrate
Hydrate/water
Gas/Water
Develop, validate and use analytical models for Develop, validate and use analytical models for quantifying ofquantifying of
The upside in gas recovery associated with the The upside in gas recovery associated with the hydrates (forward model)hydrates (forward model)
Hydrate reserve (backward model)Hydrate reserve (backward model)
4
Production by DepressurizationProduction by Depressurization
Hydrate
Simplest: Simplest: Produce from the gasProduce from the gas
Hydrate/water
Gas/Water
Least energy intensive: Least energy intensive: No external heating agentNo external heating agent
Examples: Examples: MessoyakhaMessoyakha, Alaska, Mackenzie Delta, Alaska, Mackenzie Delta
Not a proven technology yet: Not a proven technology yet: Use mathematical models!!Use mathematical models!!
5
Depressurization MechanismsDepressurization MechanismsDecomposition rate is controlled by our ability toDecomposition rate is controlled by our ability to
1.1. Provide heat of decomposition: 11,000 BTU/ftProvide heat of decomposition: 11,000 BTU/ft33 hydratehydrate
300
350
400
450
500
550
600
650
700
30 32 34 36 38 40 42 44Temperature (F)
Pres
sure
(psi
a)
Hydrate:Hydrate: SSHHφφRock and water: (1Rock and water: (1--φφ)+ )+ SSWWφφ
Ste=Ste=ρρccppΔΔT/T/ρρHHSSHHφΔφΔHH
Ste=0.1 Ste=0.1 –– 0.450.45RRHH=10% to 45%=10% to 45%
1 ft3 → 160 SCF(2500 psia, equivalent)
6
Depressurization MechanismsDepressurization MechanismsDecomposition rate is controlled by our ability toDecomposition rate is controlled by our ability to
Provide heat of decomposition: 11,000 BTU/ftProvide heat of decomposition: 11,000 BTU/ft33 hydratehydrate
From surrounding rockFrom surrounding rock
CAP ROCK
HYDRATE ZONE
FREE GAS ZONE
EA
RTH
TE
MP
ER
AT
UR
E
7
Depressurization MechanismsDepressurization MechanismsDecomposition rate is controlled by our ability toDecomposition rate is controlled by our ability to
2.2. Reduce the pressure within the hydrate zoneReduce the pressure within the hydrate zone
ti c
ktrφμ948
=
φ = 30%
μ= 0.02 cp
ct= 1×10–3 psi–1
K = 10 mD
φ = 30%
μ= 1 cp
ct= 1×10–5 psi–1
K(SH) = 0.01 mD
0
200
400
600
800
1000
1200
0 5 10 15 20 25 30
Time (days)
r i (f
t)05
101520253035404550
0 5 10 15 20 25 30
Time (days)
r i (f
t)
8
Depressurization MechanismsDepressurization MechanismsDecomposition rate is controlled by our ability toDecomposition rate is controlled by our ability to
2.2. Reduce the pressure within the hydrate zoneReduce the pressure within the hydrate zone
ti c
ktrφμ948
=
φ = 30%
μ= 1 cp
ct= 1×10–5 psi–1
K(SH) = 0.01 mD
0
50
100
150
200
250
300
0 0.5 1 1.5 2 2.5 3
Time (years)
r i (ft
)
9
Development of Analytical ModelDevelopment of Analytical Model
AssumptionsAssumptions
Deep decompositionDeep decompositionNo vertical gradient (timeNo vertical gradient (time--scale of one month)scale of one month)
TankTank--type model (zerotype model (zero--dimensional modeling)dimensional modeling)No radial gradient (timeNo radial gradient (time--scale of one month)scale of one month)
Equilibrium decompositionEquilibrium decomposition
Complete contact between the gas and the hydrateComplete contact between the gas and the hydrate
No water flowNo water flow
Constant gas production rateConstant gas production rate
10
A Material (& Energy) Balance A Material (& Energy) Balance EquationEquation
Material BalanceMaterial Balance
GGpp = = q.tq.t
GGHH = Gas generated from the= Gas generated from thehydrateshydrates
GGpp –– GGHH = Net gas produced= Net gas produced
⎟⎟⎠⎞
⎜⎜⎝⎛ −−=
GGG
Zp
Zp Hp
i
i 1
Heat equation: Heat equation:
Heat from cap and base Heat from cap and base ++ sensible heat sensible heat ==
Heat available for decomposition (Heat available for decomposition (GGHH))
Equilibrium relationEquilibrium relation ⎟⎠⎞
⎜⎝⎛ += T
cap exp
The three unknowns, The three unknowns, p, T, p, T, andand GGHH are foundare found
11
Solutions (CIPC 2006Solutions (CIPC 2006--018)018)
( )( ) ( )
⎥⎥⎦
⎤
⎢⎢⎣
⎡
⎟⎟⎠
⎞
⎜⎜⎝
⎛+
Δ+
−−
=
13
81 tCkcHH
cAHBG
TTZpZp
qtb
prrcrpH
pHf
oei
oeiioe
p
ρπρρ
ρ
⎟⎠⎞⎜
⎝⎛ += T
cap exp
12
Solutions (SPE 102234)Solutions (SPE 102234)
HSTc
SteHH
p
Δ
Δ=
φρρ
2//HGq
N fpp α= 2/
/HTbNb α
Δ=
⎥⎦
⎤⎢⎣
⎡+−⎟⎟
⎠
⎞⎜⎜⎝
⎛−= S
rr
khTTpq
w
e
tsc
scwwf 4
3lnπ
ψψ
13
Validation against Numerical Validation against Numerical Simulator (Simulator (HydrsimHydrsim))
Heat flowHeat flowConduction and convectionConduction and convectionDecomposition heat of hydrateDecomposition heat of hydrateHeat input from the cap/base rockHeat input from the cap/base rockHeat output by the producing fluidsHeat output by the producing fluids
Fluid flowFluid flowMultiMulti--phase flow through porous mediaphase flow through porous mediaGeneration of fluids due to decompositionGeneration of fluids due to decompositionGravity, capillary and viscous forcesGravity, capillary and viscous forces
Intrinsic Kinetics of decompositionIntrinsic Kinetics of decompositionThe KimThe Kim--Bishnoi modelBishnoi model
No No geomechanicalgeomechanical changeschanges
14
Base CaseBase Case
OGIP - Hydrate= 680 MMSCF
OGIP - Free Gas= 160 MMSCF
30 ft
10 ft
Heat
Heat Heat
q = 1 MMSCF/day
pi = 1240 psiaTi = 53 F
φ = 30%
K = 50 mD
Swi= 0.2
1490 ft
Heat
One well per 160 acresOne well per 160 acres
15
Validation Validation –– Average PressureAverage PressureVarious CasesVarious Cases
PorosityPorosity
Thermal conductivityThermal conductivity
Production rateProduction rate
Net payNet pay
Drainage areaDrainage area
Initial PressureInitial Pressure
PermeabilityPermeability
300
400
500
600
700
800
900
1000
1100
1200
1300
0 12 24 36 48Time (months)
Aver
age
Pres
sure
(psi
a)
Ti=43 Fpi=650 psia
Base
H=60 fth= 20 ft
q=2 MMSCF
16
Validation Validation –– Hydrate RecoveryHydrate Recovery
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
0 12 24 36 48Time (months)
Hyd
rate
Rec
over
y (%
)
Ti=43 Fpi=650 psia
H=10 fth= 3 ft
H=60 fth= 20 ft
q=2 MMSCF
Somewhat optimistic!Somewhat optimistic!
17
Validation Validation –– Flowing BHPFlowing BHP
300
400
500
600
700
800
900
1000
1100
1200
1300
0 12 24 36 48Time (months)
Bot
tom
hole
Pre
ssur
e (p
sia)
Ti=43 Fpi=650 psia
Base
H=60 fth= 20 ft
q=2 MMSCF
18
Prospect EvaluationProspect EvaluationUncertain Input ParametersUncertain Input Parameters
Thickness of the hydrate layer (10, 30, 50 ft)Thickness of the hydrate layer (10, 30, 50 ft)
Thickness of the free gas zone (3, 10, 30 ft)Thickness of the free gas zone (3, 10, 30 ft)
Hydrate Saturation (0.5, 0.6, 0.8)Hydrate Saturation (0.5, 0.6, 0.8)
PorosityPorosity
Drainage AreaDrainage Area
Equilibrium relationEquilibrium relation
Triang(0.2, 0.3, 0.5)
0
1
2
3
4
5
6
7
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0.55
5.0% 5.0%90.0%0.2387 0.4452
Triang(10, 30, 50)
Val
ues
x 10
^-2
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5 10 15 20 25 30 35 40 45 50 55
5.0% 5.0%90.0%16.32 43.68
Triang(3, 10, 30)
Val
ues
x 10
^-2
0
1
2
3
4
5
6
7
8
0 5 10 15 20 25 30 35
5.0%90.0%6.07 24.80
19
0 2 4 6 8 10 12 14 16Total and Free Gas In Place (BCF)
Total vs. Free Gas In PlaceTotal vs. Free Gas In Place
-0.5 0 0.5 1
HH
hf
Sw
20
Hydrate RecoveryHydrate Recovery
0% 10% 20% 30% 40% 50% 60%Hydrate Recovery at 5 years
-1 -0.5 0 0.5
HH
SW
hf
⎥⎦
⎤⎢⎣
⎡+= cbh NSteNR τ
πτ
38
21
Bottomhole PressureBottomhole Pressure
300 400 500 600 700 800 900 1000Bottomhole Pressure at 5 years
Freezing at 330 Freezing at 330 psiapsia
⎥⎦
⎤⎢⎣
⎡+−⎟⎟
⎠
⎞⎜⎜⎝
⎛−= S
rr
khTTpq
w
e
tsc
scwpwf 4
3lnπ
ψψ
22
Hydrate Contribution in RateHydrate Contribution in Rate
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.5 1 1.5 2 2.5 3Time (years)
Gen
erat
ion
Rat
e (M
MSC
F/da
y)
P90 (OGIP)P90 (OGIP)
P50 (OGIP)P50 (OGIP)
P10 (OGIP)P10 (OGIP)
23
Why Analytical?Why Analytical?
Limited data requires risk analysis (hundredLimited data requires risk analysis (hundred’’s of runs)s of runs)
SpeedSpeed--up factorup factor
One simulation run: One simulation run: 10 hours10 hours
10,000 analytical runs:10,000 analytical runs: 2 minutes2 minutes
SpeedSpeed--up factor:up factor: 33××101066
Availability and ease of useAvailability and ease of use
24
Reserve EstimationReserve Estimation
pwf Analytical OGIP
Compare the OGIPs
OGIP Simulator
25
ConclusionsConclusions
For the cases studiedFor the cases studiedHydrate contribution to gas production was significantHydrate contribution to gas production was significant
A A ““simplesimple”” material (and energy) balance equation was material (and energy) balance equation was developeddeveloped
The simple model allows prospect evaluation and large number The simple model allows prospect evaluation and large number of runs required in risk analysisof runs required in risk analysis
Evaluate the upside due to contribution of hydratesEvaluate the upside due to contribution of hydrates
Etc.Etc.
In an inverse mode, the model can be used for reserve In an inverse mode, the model can be used for reserve estimationestimation
26
AcknowledgmentsAcknowledgments
H. Hong, S. Gerami, A. H. Hong, S. Gerami, A. ShahbaziShahbazi, , ……
University of Calgary, Hydrate Resource Recovery ConsortiumUniversity of Calgary, Hydrate Resource Recovery Consortium
FeketeFekete Associates Inc and Mineral Management ServicesAssociates Inc and Mineral Management Services
Imperial Oil, CMG, GSC, NSERC, AERI, Imperial Oil, CMG, GSC, NSERC, AERI, NRCanNRCan
MallikMallik Research team, Drs. Scott Research team, Drs. Scott DallimoreDallimore & Fred Wright& Fred Wright
27
Questions?Questions?
Thank you!Thank you!