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Laterally and mutually constrained inversion of surface wave seismic data and resistivity data

Wisén, Roger LU and Christiansen, AV (2005) In Journal of Environmental & Engineering Geophysics 10(3). p.251-262
Abstract
The laterally and mutually constrained inversion (LCI and MCI) techniques allow for the combined inversion of multiple geophysical datasets and provide a sensitivity analysis of all model parameters. The LCI and MCI work with few-layered models, and are restricted to quasi-layered geological environments. LCI is used successfully for inversion of surface wave (SW) seismic data and MCI for combined inversion of SW data and continuous vertical electrical sounding (CVES) data. The primary model parameters are resistivity or shear wave velocity and thickness, and depth to layer interfaces is included as a secondary model parameter. The advantages and limitations of LCI and MCI are evaluated on synthetic SW data. The main conclusions are: Depth... (More)
The laterally and mutually constrained inversion (LCI and MCI) techniques allow for the combined inversion of multiple geophysical datasets and provide a sensitivity analysis of all model parameters. The LCI and MCI work with few-layered models, and are restricted to quasi-layered geological environments. LCI is used successfully for inversion of surface wave (SW) seismic data and MCI for combined inversion of SW data and continuous vertical electrical sounding (CVES) data. The primary model parameters are resistivity or shear wave velocity and thickness, and depth to layer interfaces is included as a secondary model parameter. The advantages and limitations of LCI and MCI are evaluated on synthetic SW data. The main conclusions are: Depth to a high velocity halfspace is generally well-resolved even if thicknesses of overlaying layers and the velocity of the halfspace are unresolved; Applying lateral constraints (LCI) between individual SW soundings improves model resolution, particularly for velocities and depths, and; Adding mutual constraints (MCI) to resistivity data improves model resolution of all parameters in the shear wave velocity model. When applied to field data, model resolution improves significantly when LCI or MCI is used, and resistivity and velocity models correlate structurally with better correlation to lithological interfaces identified in drill logs. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Environmental & Engineering Geophysics
volume
10
issue
3
pages
251 - 262
publisher
ENVIRONMENTAL ENGINEERING GEOPHYSICAL SOCIETY
external identifiers
  • wos:000232266300003
  • scopus:26644471967
ISSN
1943-2658
DOI
10.2113/JEEG10.3.251
language
English
LU publication?
yes
id
a1a5f525-663b-45da-bc71-c1c548680eb4 (old id 221376)
date added to LUP
2007-08-16 16:57:17
date last changed
2017-07-09 03:41:04
@article{a1a5f525-663b-45da-bc71-c1c548680eb4,
  abstract     = {The laterally and mutually constrained inversion (LCI and MCI) techniques allow for the combined inversion of multiple geophysical datasets and provide a sensitivity analysis of all model parameters. The LCI and MCI work with few-layered models, and are restricted to quasi-layered geological environments. LCI is used successfully for inversion of surface wave (SW) seismic data and MCI for combined inversion of SW data and continuous vertical electrical sounding (CVES) data. The primary model parameters are resistivity or shear wave velocity and thickness, and depth to layer interfaces is included as a secondary model parameter. The advantages and limitations of LCI and MCI are evaluated on synthetic SW data. The main conclusions are: Depth to a high velocity halfspace is generally well-resolved even if thicknesses of overlaying layers and the velocity of the halfspace are unresolved; Applying lateral constraints (LCI) between individual SW soundings improves model resolution, particularly for velocities and depths, and; Adding mutual constraints (MCI) to resistivity data improves model resolution of all parameters in the shear wave velocity model. When applied to field data, model resolution improves significantly when LCI or MCI is used, and resistivity and velocity models correlate structurally with better correlation to lithological interfaces identified in drill logs.},
  author       = {Wisén, Roger and Christiansen, AV},
  issn         = {1943-2658},
  language     = {eng},
  number       = {3},
  pages        = {251--262},
  publisher    = {ENVIRONMENTAL ENGINEERING GEOPHYSICAL SOCIETY},
  series       = {Journal of Environmental & Engineering Geophysics},
  title        = {Laterally and mutually constrained inversion of surface wave seismic data and resistivity data},
  url          = {http://dx.doi.org/10.2113/JEEG10.3.251},
  volume       = {10},
  year         = {2005},
}