Irregular sampling from aliasing to noise

Irregular sampling from aliasing to noise G. Hennenfest (University of British Columbia) SUMMARY____________________________________________________________ EAGE 69 th Conference & Exhibition — London UK 11 - 14 June 2007 Adequate sampling of seismic data is traditionally understood as evenly-distributed time and space measurements of the reflected wavefield. Moreover the sampling rate along each axis must be equal to or above twice the highest frequency/wavenumber of the continuous signal being discretized (Shannon/Nyquist sampling theorem). In practice however seismic data is often irregularly and/or sparsely sampled along spatial coordinates which is generally considered as a nuisance since it breaks one or both previouslystated conditions