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- W2031964712 abstract "Seismic data interpolation has been around for long time, but only recently have we been able to use complex multidimensional and global algorithms that have the capability to infill large gaps in 3D land surveys. This innovation offers great potential for improvement, but for this technology to become useful, many questions still need answers: what are the best domains to interpolate? What is the optimal size of operators given a particular level of structural complexity? Should we pursue an ideal geometry for migration or should we stay close to the input geometry in order to minimize distortions? How does sampling in multiple dimensions affect our traditional aliasing constraints? How can we infill large gaps without using a model for our data? Are irregularities in sampling beneficial? Understanding land data interpolation may help to solve many problems in seismic processing." @default.
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- W2031964712 date "2005-01-01" @default.
- W2031964712 modified "2023-09-24" @default.
- W2031964712 title "Understanding land data interpolation" @default.
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- W2031964712 doi "https://doi.org/10.1190/1.2148141" @default.
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