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Wavelet domain linear inversion with application to well logging

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dc.contributor.author Kane, Jonathan
dc.contributor.author Herrmann, Felix
dc.contributor.author Toksoz, M. Nafi
dc.contributor.other Massachusetts Institute of Technology. Earth Resources Laboratory en_US
dc.date.accessioned 2012-01-17T17:59:14Z
dc.date.available 2012-01-17T17:59:14Z
dc.date.issued 2001
dc.identifier.uri http://hdl.handle.net/1721.1/68601
dc.description.abstract Solving linear inversion problems in geophysics is a major challenge when dealing with non-stationary data. Certain non-stationary data sets can be shown to lie in Besov function spaces and are characterized by their smoothness (differentiability) and two other parameters. This information can be input into an inverse problem by posing the problem in the wavelet domain. Contrary to Fourier transforms, wavelets form an unconditional basis for Besov spaces, allowing for a new generation of linear inversion schemes which incorporate smoothness information more precisely. As an example inversion is performed on smoothed and subsampled well log data. en_US
dc.publisher Massachusetts Institute of Technology. Earth Resources Laboratory en_US
dc.relation.ispartofseries Earth Resources Laboratory Industry Consortia Annual Report;2001-05
dc.title Wavelet domain linear inversion with application to well logging en_US
dc.type Technical Report en_US
dc.contributor.mitauthor Kane, Jonathan
dc.contributor.mitauthor Herrmann, Felix
dc.contributor.mitauthor Toksoz, M. Nafi
dspace.orderedauthors Kane, Jonathan; Herrmann, Felix; Toksoz, M. Nafi en_US


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