Kirchhoff based multi-source least-squares migration (MSLSM) is applied to marine streamer data. To suppress the crosstalk noise from the excitation of multiple sources, a dynamic encoding function (including both time-shifts and polarity changes) is applied to the receiver side traces. Results show that the MSLSM images are of better quality than the standard Kirchhoff migration and reverse time migration images; moreover, the migration artifacts are reduced and image resolution is significantly improved. The computational cost of MSLSM is about the same as conventional least-squares migration, but its IO cost is significantly decreased.
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Multi-Source Least-Squares Migration of Marine Data
Paper presented at the 2012 SEG Annual Meeting, Las Vegas, Nevada, November 2012.
Paper Number: SEG-2012-1092
Published: November 04 2012
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Wang, Xin, and Gerard T. Schuster. "Multi-Source Least-Squares Migration of Marine Data." Paper presented at the 2012 SEG Annual Meeting, Las Vegas, Nevada, November 2012.
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