2012
DOI: 10.1190/geo2011-0197.1
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An effective crosswell seismic traveltime-estimation approach for quasi-continuous reservoir monitoring

Abstract: We present an iterative approach for quasi-continuous time-lapse seismic reservoir monitoring. This approach involves recording sparse data sets frequently, rather than complete data sets infrequently. In other words, it involves acquiring a completely sampled baseline data set followed by sparse monitor data sets at short calendar-time intervals. We use the term "sparse" to describe a data set that is a small fraction of what would normally be recorded in the field to reconstruct a high-spatial-resolution ima… Show more

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Cited by 7 publications
(6 citation statements)
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“…Continuous monitoring of seismic attenuation using repeated active sources can partially remedy the problem and would provide important insights into the dynamic state of a CO 2 plume. Also, CO 2 reservoirs will benefit from an effective continuous seismic monitoring strategy to ensure efficient and timely management decisions [ Arogunmati and Harris , , ].…”
Section: Discussionmentioning
confidence: 99%
“…Continuous monitoring of seismic attenuation using repeated active sources can partially remedy the problem and would provide important insights into the dynamic state of a CO 2 plume. Also, CO 2 reservoirs will benefit from an effective continuous seismic monitoring strategy to ensure efficient and timely management decisions [ Arogunmati and Harris , , ].…”
Section: Discussionmentioning
confidence: 99%
“…Arogunmati () and Arogunmati and Harris () showed how the quasi‐continuous data‐estimation problem can be expressed as: bolddck=bolddsk+boldduk,where dsk is the accumulated sparse data set at survey/monitor time k and duk is the accumulated unrecorded data set at survey/monitor time k . An accumulated data set consists in the baseline and time‐lapse surveys merged along the slow‐time axis.…”
Section: Methodsmentioning
confidence: 99%
“…It has the potential to be the foundation for continuous seismic reservoir monitoring. The strategy can be used on seismic traveltime (Arogunmati and Harris ) or seismic full‐trace data. Our approach accounts for differences in the data acquisition footprint prior to imaging or inversion, in the data space.…”
Section: Introductionmentioning
confidence: 99%
“…We use data collected between wells A and C. The well spacing is approximately 190 m (∼620 ft). Harris et al (1995) describe the data collection procedure and relevant survey parameters (also see Lazarotos and Marion, 1997; Arogunmati and Harris, 2012). The first-arrival traveltimes for baseline (1993) and repeat surveys (1995) were picked and subtracted to obtain the traveltime difference.…”
Section: Case Ii: Delineating the Co 2 -Saturated Zonementioning
confidence: 99%