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Abstract
In seismic data interpolation, problems associated with two kinds of issue need to be addressed:
- Irregular distribution of offset/azimuth at each CMP bin due to the nature of land acquisition with its many surface restrictions.
- Producing an image on a finer CMP grid than the natural grid defined by the acquisition parameters.
We refer to the first problem as "regularization" (i.e., regularizing offset/azimuth distribution at each CMP), and the second problem as "upsampling" (i.e., recasting sparse but regularly sampled data onto a more finely sampled regular grid). We will present a two-step approach which involves applying minimum weighted norm Fourier interpolation to regularize the data and then applying a local Radon Transform to upsample the data to a finer grid. We will analyze the advantages and limitations of the two interpolation methods, and demonstrate how to combine them to process various land surveys.
Biography
Juefu Wang received a B.S. (1995) and an M.S. (1998) in geology from Nanjing University in China. From 1998 to 2001, he worked for The Aero Geophysical Survey and Remote Sensing Center in Beijing. In 2001 Juefu joined the Signal Analysis and Imaging Group at the University of Alberta, Edmonton, to pursue a PhD in Geophysics. He completed a doctoral dissertation on wave equation 3D regularized imaging in 2005 and joined Geo-X Systems Ltd. as an Alberta Ingenuity Post-doctoral fellow. He continued working there after the company was taken over by Divestco Inc. in 2006. His research interests include signal analysis, imaging, and geophysical inverse problems. Juefu is a member of CSEG and SEG societies.
