5D Interpolation of Seismic Data Using a Hybrid MWNI and POCS Algorithm
Author: Dr. Jianhua Pan
May 7, 2013
Presented at Integration 2013 – CSPG CSEG CWLS Joint Annual GeoConvention
Calgary, AB, Canada
Summary: The 5D interpolation of seismic data is becoming an important tool in seismic processing since data is seldom acquired with a spatial sampling that is optimal for processing. Two popular interpolation techniques currently used in the industry are MWNI (Minimum Weighted Norm Interpolation) and POCS (Projection onto a Convex Set). Both methods have their own advantages and disadvantages. In this poster, we propose an algorithm which combines these two techniques. The computational cost of this algorithm is cheaper than the usual POCS method and it retains the advantage of MWNI which has the ability to interpolate sparse datasets.