KAUST DepartmentCenter for Subsurface Imaging and Fluid Modeling
Earth Science and Engineering Program
Environmental Science and Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2013-10-11
Print Publication Date2014-01
Permanent link to this recordhttp://hdl.handle.net/10754/563039
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AbstractWe present the theory and numerical results for interferometrically interpolating 2D and 3D marine surface seismic profiles data. For the interpolation of seismic data we use the combination of a recorded Green's function and a model-based Green's function for a water-layer model. Synthetic (2D and 3D) and field (2D) results show that the seismic data with sparse receiver intervals can be accurately interpolated to smaller intervals using multiples in the data. An up- and downgoing separation of both recorded and model-based Green's functions can help in minimizing artefacts in a virtual shot gather. If the up- and downgoing separation is not possible, noticeable artefacts will be generated in the virtual shot gather. As a partial remedy we iteratively use a non-stationary 1D multi-channel matching filter with the interpolated data. Results suggest that a sparse marine seismic survey can yield more information about reflectors if traces are interpolated by interferometry. Comparing our results to those of f-k interpolation shows that the synthetic example gives comparable results while the field example shows better interpolation quality for the interferometric method. © 2013 European Association of Geoscientists & Engineers.
CitationHanafy, S. M., & Schuster, G. T. (2013). Interferometric interpolation of sparse marine data. Geophysical Prospecting, 62(1), 1–16. doi:10.1111/1365-2478.12066
SponsorsWe would like to thank KAUST and the members of the University of Utah Tomography and Modeling/Migration (UTAM) Consortium (http://csim.kaust.edu.sa). We would like to thank S. Brown for his assistance with the up-and downgoing separation and C. Boonyasiriwat for revising the manuscript. We would like to thank Landmark for the University Software Grant and permission to use ProMax.