2018 · 18 citations · 6 references
Natural SciencesEarth SciencesGeophysicsEarthquake EngineeringSeismologySurveyingSeismic Data AcquisitionSeismic Data ProcessingSeismic ExplorationSeismic Imaging3D Seismic Acquisition3D Seismic Survey DesignCompressive SensingDensityLand Seismic AcquisitionLand Seismic ImagingLand Seismic SurveysSeismic Survey Design
Seismic image quality is greatly impacted by data density, and high-density seismic acquisition can be done more efficiently nowadays by using the Compressive Sensing concept (Candès et al., 2006; Donoho, 2006) in seismic survey design. In order to do a proper Compressive Seismic Acquisition (CS-A) (Jiang et al., 2017) in a real-time production setting, more factors are required to be evaluated or considered compared to a simple synthetic study. In this paper, we present a unique field trial in North America specially designed to evaluate the CS-A in a 3D land survey. The field trial comprises a base survey with conventional design and two scenarios of CS-A designs with different focuses: cost-saving or resolution-enhancing. The Compressive Seismic reconstructions (CS-R) (Jiang et al., 2017) are done for both scenarios and compared to the conventional base survey. Presentation Date: Wednesday, October 17, 2018 Start Time: 8:30:00 AM Location: 210C (Anaheim Convention Center) Presentation Type: Oral
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