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Inversion for seismic anisotropy using genetic algorithms

Journal Article · · Geophysical Prospecting; (United States)
 [1];  [2]
  1. British Geological Survey, Edinburgh (United Kingdom) Univ. of Edinburgh (United Kingdom). Dept. of Geology and Geophysics
  2. Univ. of Edinburgh (United Kingdom). Dept. of Geology and Geophysics
A general inversion scheme based on a genetic algorithm is developed to invert seismic observations for anisotropic parameters. The technique is applied to the inversion of shear-wave observations from two azimuthal VSP data sets from the Conoco test site in Oklahoma. Horizontal polarizations and time-delays are inverted for hexagonal and orthorhombic symmetries. The model solutions are consistent with previous studies using trial and error matching of full waveform synthetics. The shear-wave splitting observations suggest the presence of a shear-wave line singularity and are consistent with a dipping fracture system which is known to exist at the test site. Application of the inversion scheme prior to full waveform modeling demonstrates that a considerable saving in time is possible while retaining the same degree of accuracy.
OSTI ID:
6917998
Journal Information:
Geophysical Prospecting; (United States), Journal Name: Geophysical Prospecting; (United States) Vol. 42:8; ISSN GPPRAR; ISSN 0016-8025
Country of Publication:
United States
Language:
English