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TitleShort- and long-term ground deformation due to cyclic steam stimulation in Alberta, Canada, measured with interferometric radar
AuthorSamsonov, S
SourceThe Leading Edge vol. 36, issue 1, 2017 p. 36-42, https://doi.org/10.1190/tle36010036.1
Year2017
Alt SeriesEarth Sciences Sector, Contribution Series 20160243
PublisherSociety of Exploration Geophysicists
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceAlberta
NTS73L/09
AreaCold Lake
Lat/Long WENS-110.6667 -110.1667 54.6667 54.5000
Subjectsgeophysics; remote sensing; satellite imagery; steam injection; deformation; subsidence; crustal uplift; Cold Lake Oil Sands; RADARSAT-2; DInSAR; cyclic steam stimulation (CSS); multidimensional small baseline subset (MSBAS)
Illustrationslocation maps; graphs; geophysical images; time series
ProgramMethodology, Remote Sensing Science
Released2017 01 01
AbstractShort- and long-term ground deformation at the cyclic steam stimulation (CSS) enhanced oil recovery sites in the Cold Lake region of Alberta, Canada, was measured with RADARSAT-2 differential interferometric synthetic aperture radar (DInSAR) during 2011-2016. The interferometric processing of 84 high-resolution spotlight images revealed extensive short-term ground uplift and subsidence greater than 15 cm over the 24-day satellite revisit cycle. Time-series analysis based on the multidimensional small baseline subset (MSBAS) methodology demonstrated that while the predominant deformation signal is cyclical in nature, a long-term subsidence and uplift with maximum deformation rates greater than 5 cm/year is also present. These measurements suggest that CSS injection and production operations result in the long-term semipermanent deformation in the area of reservoir operations, and that the response to injection and extraction can differ from the previous cycles.
Summary(Plain Language Summary, not published)
In this publication we measure short- and long-term ground deformation over the Cyclic Steam Stimulation sites in Alberta, Canada using RADARSAT-2 Synthetic Aperture Radar. We describe data, processing methodology and observed signals and make recommendation on future monitoring.
GEOSCAN ID299398