Issues in multi‐dimensional interpolation

Author:

RARay Abma
Ray Abma

1 January 2009

conference paper
Published by Society of Exploration Geophysicists

Vol. 1, 1152-1156
DOI:10.1190/1.3255056

Abstract

Interpolation of seismic data with multi‐dimensional algorithms can produce high quality results. The improvements noted in moving from 2‐D to 3‐D interpolation suggest that moving from 3‐D to 4‐D and 5‐D interpolation may increase the quality of POCS (Projection Onto Convex Sets) interpolation even more. While this increased capability may help reduce acquisition costs and improve the seismic images created, 5‐D interpolation does not always improve the interpolation.

Keywords

This publication has 4 references indexed in Scilit:

Five dimensional seismic data interpolation
2008
3D interpolation of irregular data with a POCS algorithm
Geophysics, 2006
On the orthogonality of anti‐leakage Fourier transform based seismic trace interpolation
2004
Minimum weighted norm interpolation of seismic records
Geophysics, 2004