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Directional interpolation of multicomponent data

Andersson, Fredrik LU ; Ramírez, Adriana Citlali; Wiik, Torgeir and Nikitin, Viktor V. LU (2017) In Geophysical Prospecting
Abstract

A method for interpolation of multicomponent streamer data based on using the local directionality structure is presented. The derivative components are used to estimate a vector field that locally describes the direction with the least variability. Given this vector field, the interpolation can be phrased in terms of the solution of a partial differential equation that describes how energy is transported between regions of missing data. The approach can be efficiently implemented using readily available routines for computer graphics. The method is robust to noise in the measurements and particularly towards high levels of low-frequent noise that is present in the derivative components of the multicomponent streamer data.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Data processing, Multicomponent, Rays, Seismics, Theory, Wave
in
Geophysical Prospecting
publisher
EAGE / Wiley
external identifiers
  • scopus:85011284109
  • wos:000408151000008
ISSN
0016-8025
DOI
10.1111/1365-2478.12478
language
English
LU publication?
yes
id
a6179f3d-3995-4592-a19c-a42b65ece60d
date added to LUP
2017-02-16 07:05:16
date last changed
2018-01-07 11:50:10
@article{a6179f3d-3995-4592-a19c-a42b65ece60d,
  abstract     = {<p>A method for interpolation of multicomponent streamer data based on using the local directionality structure is presented. The derivative components are used to estimate a vector field that locally describes the direction with the least variability. Given this vector field, the interpolation can be phrased in terms of the solution of a partial differential equation that describes how energy is transported between regions of missing data. The approach can be efficiently implemented using readily available routines for computer graphics. The method is robust to noise in the measurements and particularly towards high levels of low-frequent noise that is present in the derivative components of the multicomponent streamer data.</p>},
  author       = {Andersson, Fredrik and Ramírez, Adriana Citlali and Wiik, Torgeir and Nikitin, Viktor V.},
  issn         = {0016-8025},
  keyword      = {Data processing,Multicomponent,Rays,Seismics,Theory,Wave},
  language     = {eng},
  month        = {02},
  publisher    = {EAGE / Wiley},
  series       = {Geophysical Prospecting},
  title        = {Directional interpolation of multicomponent data},
  url          = {http://dx.doi.org/10.1111/1365-2478.12478},
  year         = {2017},
}