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Abstract

Computer power growth has made possible to extend interpolation algorithms to many dimensions, which has proven to be essential to deal with the increase of dimensions of seismic data, from two to three dimensions and from narrow to wide azimuth. Simultaneous interpolation in all five seismic data dimensions has the greatest chance of predicting missing data with correct amplitude and phase variations because well sampled dimensions help to constraint the more poorly sampled dimensions.

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/content/papers/10.3997/2214-4609.201404923
2009-06-08
2021-12-05
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201404923
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