Innovative Applications of Satellite Interferometry in the...
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© Tele-Rilevamento Europa 2010
Innovative Applications of
Satellite Interferometry
in the Oil&Gas Industry
A. Ferretti(1), G. Falorni(3), F. Novali(1),
F. Rocca(2), A. Rucci(2), A. Tamburini(1)
(1) Tele-Rilevamento Europa - TRE
(2) Politecnico di Milano
(3) TRE Canada Inc.
ESA-ESRIN Worshop, 14-15 Sept. 2010
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• Surface deformation measurements are lately gaining increasing
attention within the reservoir engineer community, which is
searching for new monitoring tools to complement seismic
surveys.
• These monitoring technologies are relatively low in cost and their
information content adds significant value, if properly interpreted
and integrated with more conventional data.
• In particular, satellite radar data can provide high-quality,
remotely sensed data about surface deformation. The use of
radar sensors mounted on board Earth-orbiting satellites started
about two decades ago. Over time, these early algorithms have
been significantly upgraded and are much more powerful, today.
Background
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The Basic Idea
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1st acquisitionR1
2nd acquisition
Δt = 8/11/24/35 days
R2
ΔR
Area affected
by surface deformation
Detection of possible
range variations
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Why interferometry?
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D R
= 5.66 cm
R1
R2
R1 R2
Df
DR = c · Df
L band = 23.5 cm
C band = 5.6 cm
X band = 3.1 cm
With InSAR displacement is measured
using the wavelength
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Multi-interferogram techniques
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• Satellite images are analysed using a multi image approach
• Images are acquired each time the satellite passes over the same area of ground
• As interferograms are acquired, they are stacked
• Consistent radar targets (PS/DS) are identified in the data
• Individual displacement time-series
is calculated for each measurement
point
Stack of interferograms
Tim
e
Time-series (PS)
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Accuracy (PSInSAR™ data)
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Positioning E - W N - S Height
Precision (1s) 6 m 2 m 1,5 m
Displacement
(LOS)
Average
Displacement Rate
Single
Measurement
Precision (1s) <1 mm/yr 5 mm
Typical values @ < 1 km from the reference point
>40 images – ERS and ENVISAT satellites (C-band)
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Are InSAR analyses “operational”? Yes!
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Whole Country Mapping:
• ESA data
• >15k scenes processed
• <1.5 years of processing
• >15 million ground points
identified
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Scalable data
8
From national
mapping…
…to single
structures
Oil field
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Synoptic Table
9
Advantages Limitations
• Regular updates over large
areas. Cost-effective.
• Historical archives available
• High PS density
(up to 10,000 PS/km2)
• Fast data processing /
low user interaction
• High accuracy (1-2 mm)
• Data easily imported into GIS
• Vegetated and forested areas
prevent any PSInSAR™ data
processing using natural PS.
• Reflectivity variations (e.g. snow,
heavy rain)
• Temporal sampling limited by
satellite repeat-cycles
• Only “slow” deformation can be
measured (<10 cm/yr in LOS)
• “Full 3D” displacement vectors
cannot be estimated (2D yes)
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Satellite Radar Sensors
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Sentinel-1 A
Sentinel-1 B
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C-band (SB) vs X-band: an example
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130
PS/km2
1,200
PS/km2
RADARSAT S3 TERRASAR-X SM
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Why are InSAR Data Useful?
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In a nutshell, InSAR data:
• Map the temporal evolution of ground
displacements (time-lapse analysis)
• Enable a wide-area understanding of
ground subsidence/uplift
• Provide users with the ability to
quantify historical ground movement
• Allow oil&gas companies to regularly
monitor production areas for
environmental monitoring and risk
mitigation (e.g. case failure, etc.)
• Allow oil&gas companies to develop better
reservoir models, by calibrating model parameters using surface
deformation data
Oil field deformation: California, USA
-10mm 0 +10mm
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• The ability to map the subsidence
or uplift patterns, using satellite
data, powerfully complements
ground-based techniques and
enables measurement in areas
where access is difficult or
expensive.
• Observation of the spatial patterns
of vertical displacement can provide
insight into the structural geology of
a reservoir by highlighting the
location of active faults or
fractures. This information can be
integrated with other types of data
as input to reservoir models and
can assist in designing recovery
strategies.13
Why are InSAR Data Useful? (2/2)
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Examples
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Subsidence Analysis – Coastal Areas
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Oil Field – Average Deformation Rate (LOS)
Wells
50
-50
mm/yr
Radarsat-1 data
AOI: 120 Kmq
More than 200,000 PS identified
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Oil Field – Close Up
50
-50
mm/anno
Radarsat data
Wells
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Analysis of faults and fractures
A’
sez1-V-soglia3-mm5
-160
-140
-120
-100
-80
-60
-40
-20
0
20
0 2000 4000 6000 8000 10000 12000
progressiva (m)
spos
tam
ento
ver
ticale (m
m)
D20050108
D20050128
D20050217
D20050309
D20050329
D20050418
D20050508
D20050528
D20050617
D20050707
D20050727
D20050816
D20050905
D20050925
D20051015
D20051104
D20051124
D20051214
D20060103
D20060123
D20060212
D20060304
D20060324
D20060413
D20060503
D20060523
D20060612
D20060702
D20060722
D20060811
D20060831
D20060920
D20061010
D20061030
A
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2D velocity gradient vs. fault map
Monitoring horizontal and vertical surface deformation
over a hydrocarbon reservoir by PSInSAR
First Break, volume 28, May 2010
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• In Salah gas storage is JIP of Sonatrach, BP and Statoil Hydro
• Field produces gas with up to 10% CO2
• 1 million tons CO2 captured from gas and injected annually
• ~ 3 million tons CO2 injected by end of 2008
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CO2 Sequestration - In Salah, Algeria
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Time lapse analysis of surface displacement
+10- 10[mm]
Displacement along LOS
~25 km
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What we learned (CCS projects)
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• Due to the complexity of CO2 movement within the subsurface, and the
requirement to ensure that it does not migrate towards the surface, there is a
need to monitor the injected fluid.
• Satellite-based surveillance
can be more cost-effective,
more frequent and less
invasive than other
geophysical monitoring
techniques.
• The PSInSAR results
have proven that satellite
based observations can be
used to infer information
about the CO2 plumes and
even the permeability of the
reservoir (Vasco et al., 2008),
as well as the identification of fault reactivation.
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Underground Gas Storage - Modelling
Injected/extracted volume
Surface displacement
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Blockages/Difficulties
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• Satellite tasking can be challenging with “dual-use” (military/civilian)
data sources. The more the number of data sources, the better.
• Estimation of full 3D deformation fields is still challenging, even when
combining 4 data-stacks from different acquisition geometries. Left-
looking sensors could play a role to get 3D measurements.
• Apart from environmental monitoring, there is still a lot of work to be
done for designing “standard”, operational procedures that could be
used to translate surface deformation data into reservoir parameters
and optimization strategies. There is a need of joint research projects
among radar specialists, geophysicists, geologists and petroleum
engineers.
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Conclusions
• Advantages of InSAR data: high precision; quantitative and reliableinfo; fast data processing; regular updates; cost-effective.
• Limitations: vegetated areas, snow coverageartificial reflectors; not 3D measurements
• Benefits for the oil&gas sector: – assessment of the environmental impact of pumping activities.
– reservoir monitoring.
– geophysical inversion (pressure/permeability)
– synergy with seismic surveys
• More and more satellite data are becoming available and weeklymonitoring is becoming feasible.
• SAR measurements in synergy with GPS are becoming a standard monitoring tool for surface deformation monitoring.
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Bibliographic References
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•Klemm H., I. Quseimi, F. Novali, A. Ferretti, A. Tamburini: „Monitoring horizontal and
vertical surface deformation over a hydrocarbon reservoir by PSInSAR™‟ First Break,
Vol. 28, May 2010, p. 29-37.
•Vasco D. W., A. Rucci, A. Ferretti, F. Novali, R. C. Bissell, P.S. Ringrose, A. S.
Mathieson, and I. W. Wright: „Satellite-based measurements of surface deformation
reveal fluid flow associated with the geological storage of carbon dioxide‟ Geophysical
Research Letters, Vol. 37, L03303, 2010, doi:10.1029/2009GL041544.
•Vasco D.W., A. Ferretti, and F. Novali: „Estimating permeability from quasi-static
deformation: Temporal variations and arrival-time inversion‟ Geophysics, Vol. 73(6),
Nov.-Dec 2008, p. O37–O52.
•Tamburini A., M. Bianchi, C. Giannico, F. Novali: „Retrieving surface deformation by
PSInSAR™ technology: a powerful tool in reservoir monitoring‟ International Journal of
Greenhouse Gas Control, doi:10.1016/j.ijggc.2009.12.009, 2010.
•Bell J. W., F. Amelung, A. Ferretti, M. Bianchi, F. Novali: „Permanent scatterer InSAR
reveals seasonal and long-term acquifer-system response to groundwater pumping and
artificial recharge‟ Water Resources Research, Vol. 44, February 2008, p. 1-18.
•Castelletto N., M. Ferronato, G. Gambolati, C. Janna, P. Teatini, D. Marzorati, E. Cairo,
D. Colombo, A. Ferretti, A. Bagliani, S. Mantica, „3D geomechanics in UGS projects. A
comprehensive study in northern Italy‟ Proc. of the 44th US Rock Mechanics
Symposium, Salt Lake City, June 2010.
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