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Geostatistical integration of near‐surface geophysical data
Author(s) -
Vesnaver A.,
Bridle R.,
Henry B.,
Ley R.,
Rowe R.,
Wyllie A.
Publication year - 2006
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.2006.00573.x
Subject(s) - geology , seismic vibrator , geostatistics , economic geology , statics , gemology , reflection (computer programming) , environmental geology , refraction , regional geology , remote sensing , surface (topology) , geophysics , data acquisition , seismology , glaciology , engineering geology , telmatology , tectonics , computer science , optics , geometry , spatial variability , statistics , physics , mathematics , classical mechanics , volcanism , programming language , operating system
Accurate statics calculation and near‐surface related noise removal require a detailed knowledge of the near‐surface velocity field. Conventional seismic surveys currently are not designed to provide this information, and 3D high‐resolution reflection/refraction acquisition is not feasible for large survey areas. Satellite images and vibrator plate attributes are dense low‐cost data, which can be used in spatially extrapolating velocities from sparse uphole data by geostatistics. We tested this approach in two different areas of Saudi Arabia and found that the optimal recipe depends on the local geology.