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Analyzing pressure responses to Earth tides for monitoring CO 2 migration. Kozo Sato Geosystem Engineering The University of Tokyo. Objective. Monitoring techs for geological sequestration seismic (4D, VSP, cross-well tomography) non-seismic (electromagnetic, gravity, tilting, logging) - PowerPoint PPT Presentation
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Analyzing pressure responses to Earth Analyzing pressure responses to Earth tides for monitoring COtides for monitoring CO22 migration migration
Kozo SatoGeosystem EngineeringThe University of Tokyo
ObjectiveObjective Monitoring techs for geological sequestration
seismic (4D, VSP, cross-well tomography) non-seismic (electromagnetic, gravity, tilting, logging)
Alternative technique? cost-effective labor-saving
Utilize pressure responses to Earth tides perturbation by the M and the S (no artificial energy
required) pressure measurements only (no extra operation required)
OutlineOutline Objective Tidal deformations
Earth tide Cubic dilatation Calculation of Cubic dilatation
Poroelasticity Tidal signals in pressure responses Results and discussion Concluding remarks
Tidal deformationsTidal deformations Earth tide
Tidal deformation (cyclic compaction and expansion) of the solid Earth
phenomenon similar to ocean tides the gravitational attraction of the solar system bodies: M
and S
Tidal deformationsTidal deformations Cubic dilatation
cubic dilatation (trace of strain matrix)
normal stresses and strains
near the Earth surfacefree surface boundary condition 0rr
rr
iiii 2
)(22
Tidal deformationsTidal deformations Calculation of cubic dilatation
as a linear combination of Y and its derivatives w.r.t.
Y: spherical harmonics defining tidal potential
sample calculation of (an onshore site, Nagaoka, Japan)(latitude: 37.40, longitude: 138.70)
2
0
2 ),()/(m
mmYcargV
)/,,()/,,( 22 YYYY
OutlineOutline Objective Tidal deformations Poroelasticity
Deformations and pressure fluctuation and CO2 migration
Tidal signals in pressure responses Results and discussion Concluding remarks
PoroelasticityPoroelasticity
Deformations and pressure fluctuation tidal deformation induces pressure fluctuation p
Biot-Gassmann equation
poroelastic parameter
KKp
u
12
sfu KK
KK
sf KKp
1
PoroelasticityPoroelasticity
and CO2 migration Kf for the H2O-CO2 system
as a function of SCO2
sf KK
1
222
11)1(1CO
COw
COf K
SK
SK
PoroelasticityPoroelasticity
and CO2 migration Kf for the H2O-CO2 system
as a function of SCO2
KCO2=0.003~0.07GPa, Kw=2.4GPa @1000m increases as SCO2 increases: =ASCO2+B
=/p : a good indicator for monitoring the CO2 migration
BASKK
SKK
CO
swCO
wCO
2
22
111
222
11)1(1CO
COw
COf K
SK
SK
OutlineOutline Objective Tidal deformations Poroelasticity Tidal signals in pressure responses
Pressure responses Retrieving p(t) from p(t)
Results and discussion Concluding remarks
Tidal signals in pressure responsesTidal signals in pressure responses Pressure responses
long-term pressure trend pt(t) associated with a certain event, s.a. CO2 sequestration
Tidal signals in pressure responsesTidal signals in pressure responses Pressure responses
long-term pressure trend pt(t) associated with a certain event, s.a. CO2 sequestration
total pressure response p(t) : superposition of pt(t) and p(t) p(t): tidal signal induced by the Earth tide
)()()( tptptp t
Tidal signals in pressure responsesTidal signals in pressure responses Retrieving p(t) from p(t)
model the long-term pressure trend with the cubic spline
retrieve the tidal signals
n
jjjt ptNtp
1)()(
)()()( tptptp t
p(t) pt(t)
Tidal signals in pressure responsesTidal signals in pressure responses Retrieving p(t) from p(t)
model the long-term pressure trend with the cubic spline
retrieve the tidal signals
p(t) pt(t) p(t)
n
jjjt ptNtp
1)()(
)()()( tptptp t
OutlineOutline Objective Tidal deformations Poroelasticity Tidal signals in pressure responses Results and discussion
Monitoring at a sequestration test field Estimation of Detection of CO2 arrival
Concluding remarks
Results and discussionResults and discussion Monitoring at a sequestration test field
onshore aquifer, Nagaoka, Japan sandston bed, thickness: 60m, depth: 1100m injection well: CO2-1, Zone-2a (6m) and Zone-2b (6m) monitoring wells: CO2-2, CO2-3, CO2-4
CO2-4
CO2-2
CO2-3CO2-1
60m
120m
40m
loggingpressure measurements
logging
logging
Results and discussionResults and discussion Monitoring at a sequestration test field
pressure measurement time-lapse sonic logging (compressional wave velocity)
Results and discussionResults and discussion Monitoring at a sequestration test field
is it possible to detect CO2 arrival only with pressure data?
=ASCO2+B
Results and discussionResults and discussion Estimation of (132-139 days)
calculation of
Results and discussionResults and discussion Estimation of (132-139 days)
p retrieved from the pressure data
Results and discussionResults and discussion Estimation of (132-139 days)
=/p scaled to match the p profile
Results and discussionResults and discussion Estimation of (132-139 days)
=/p scaled to match the p profile 1GPa 17.0
p
Results and discussionResults and discussion Estimation of (387-394 days)
calculation of
Results and discussionResults and discussion Estimation of (387-394 days)
p retrieved from the pressure data
Results and discussionResults and discussion Estimation of (387-394 days)
=/p scaled to match the p profile
Results and discussionResults and discussion Estimation of (387-394 days)
=/p scaled to match the p profile 1GPa 40.0
p
Results and discussionResults and discussion Detection of CO2 arrival
1GPa 40.0
p
1GPa 17.0
p
Results and discussionResults and discussion Detection of CO2 arrival
time-lapse estimation (13 intervals)
Results and discussionResults and discussion Detection of CO2 arrival
time-lapse estimation (13 intervals) =ASCO2+B
Results and discussionResults and discussion Detection of CO2 arrival
time-lapse estimation (13 intervals) =ASCO2+B
Results and discussionResults and discussion Detection of CO2 arrival
time-lapse estimation (13 intervals) =ASCO2+B
OutlineOutline Objective Tidal deformations Poroelasticity Tidal signals in pressure responses Results and discussion Concluding remarks
Concluding remarksConcluding remarks The poroelastic parameter , a function of SCO2, can
be estimated from p and . The CO2 migration can be monitored with time-lapse
estimations of . The technique is applicable to well-developed sites
(depleted o/g reservoirs).