Multi-source least-squares migration of marine data | Zendy

Xin Wang | Zendy; Gerard T. Schuster | Zendy

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Multi-source least-squares migration of marine data

Author(s) -

Xin Wang,

Gerard T. Schuster

Publication year - 2012

Publication title -

king abdullah university of science and technology repository (king abdullah university of science and technology)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1190/segam2012-1092.1

Subject(s) - seismic migration , crosstalk , least squares function approximation , algorithm , computer science , geology , source function , optics , seismology , mathematics , physics , statistics , estimator , astrophysics

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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