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Spatially Mutually Constrained Inversion of Airborne Hydrogeophysics Survey with Ground Geophysics and Borehole Data

Martínez, Kerim ; Nielsen, O. F. and Mendoza, J. A. LU orcid (2011) Near Surface 2011 - 17th European Meeting of Environmental and Engineering Geophysics
Abstract
This work presents examples from processing and interpretation of 2576 km of SkyTEM data in the Ringsted-Suså groundwater mapping area located southeast of Denmark. The mapping area is approx. 422 km2 and includes approx. 75,000 SkyTEM soundings. Additionally, diverse ground based geophysical data (>260 km Multi-Electrode Profiling (MEP), > 130 km Pulled-Array Continuous Electrical Soundings (PACES) and 200 ground-based TEM soundings) were utilized in a pseudo-3D inversion. Furthermore prior information was added from 39 borehole logs and lithological information from approx. 735 boreholes in the final inversion. The objectives of the work were to map the near subsurface for units of hydrogeological significance and to evaluate the... (More)
This work presents examples from processing and interpretation of 2576 km of SkyTEM data in the Ringsted-Suså groundwater mapping area located southeast of Denmark. The mapping area is approx. 422 km2 and includes approx. 75,000 SkyTEM soundings. Additionally, diverse ground based geophysical data (>260 km Multi-Electrode Profiling (MEP), > 130 km Pulled-Array Continuous Electrical Soundings (PACES) and 200 ground-based TEM soundings) were utilized in a pseudo-3D inversion. Furthermore prior information was added from 39 borehole logs and lithological information from approx. 735 boreholes in the final inversion. The objectives of the work were to map the near subsurface for units of hydrogeological significance and to evaluate the available inversion schemes. Three types of inversion were used and compared; Laterally Constrained Inversion (LCI), Spatially Constrained Inversion (SCI) and Spatial Mutually Constrained Inversion (SMCI). SMCI is seen to produce results more consistent with both geological data of other geophysical data. Furthermore, the SMCI is less influenced by the degree of lineaments compared with LCI and SCI. This is due to the use of different geophysical data sets represented in one inversion result, which in addition allows gathering the geophysical inversion into one result. (Less)
Abstract (Swedish)
This work presents examples from processing and interpretation of 2576 km of SkyTEM data in the Ringsted-Suså groundwater mapping area located southeast of Denmark. The mapping area is approx. 422 km2 and includes approx. 75,000 SkyTEM soundings. Additionally, diverse ground based geophysical data (>260 km Multi-Electrode Profiling (MEP), > 130 km Pulled-Array Continuous Electrical Soundings (PACES) and 200 ground-based TEM soundings) were utilized in a pseudo-3D inversion. Furthermore prior information was added from 39 borehole logs and lithological information from approx. 735 boreholes in the final inversion. The objectives of the work were to map the near subsurface for units of hydrogeological significance and to evaluate the... (More)
This work presents examples from processing and interpretation of 2576 km of SkyTEM data in the Ringsted-Suså groundwater mapping area located southeast of Denmark. The mapping area is approx. 422 km2 and includes approx. 75,000 SkyTEM soundings. Additionally, diverse ground based geophysical data (>260 km Multi-Electrode Profiling (MEP), > 130 km Pulled-Array Continuous Electrical Soundings (PACES) and 200 ground-based TEM soundings) were utilized in a pseudo-3D inversion. Furthermore prior information was added from 39 borehole logs and lithological information from approx. 735 boreholes in the final inversion. The objectives of the work were to map the near subsurface for units of hydrogeological significance and to evaluate the available inversion schemes. Three types of inversion were used and compared; Laterally Constrained Inversion (LCI), Spatially Constrained Inversion (SCI) and Spatial Mutually Constrained Inversion (SMCI). SMCI is seen to produce results more consistent with both geological data of other geophysical data. Furthermore, the SMCI is less influenced by the degree of lineaments compared with LCI and SCI. This is due to the use of different geophysical data sets represented in one inversion result, which in addition allows gathering the geophysical inversion into one result. (Less)
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author
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publishing date
type
Contribution to conference
publication status
published
subject
pages
1 pages
conference name
Near Surface 2011 - 17th European Meeting of Environmental and Engineering Geophysics
conference location
Leicester, United Kingdom
conference dates
2011-09-12 - 2011-09-14
external identifiers
  • scopus:85085403339
DOI
10.3997/2214-4609.20144432
language
English
LU publication?
no
id
2a1218c3-493e-4b94-9619-6dbafdfcaa1c
date added to LUP
2022-12-02 14:26:25
date last changed
2023-05-04 04:17:01
@misc{2a1218c3-493e-4b94-9619-6dbafdfcaa1c,
  abstract     = {{This work presents examples from processing and interpretation of 2576 km of SkyTEM data in the Ringsted-Suså groundwater mapping area located southeast of Denmark. The mapping area is approx. 422 km2 and includes approx. 75,000 SkyTEM soundings. Additionally, diverse ground based geophysical data (>260 km Multi-Electrode Profiling (MEP), > 130 km Pulled-Array Continuous Electrical Soundings (PACES) and 200 ground-based TEM soundings) were utilized in a pseudo-3D inversion. Furthermore prior information was added from 39 borehole logs and lithological information from approx. 735 boreholes in the final inversion. The objectives of the work were to map the near subsurface for units of hydrogeological significance and to evaluate the available inversion schemes. Three types of inversion were used and compared; Laterally Constrained Inversion (LCI), Spatially Constrained Inversion (SCI) and Spatial Mutually Constrained Inversion (SMCI). SMCI is seen to produce results more consistent with both geological data of other geophysical data. Furthermore, the SMCI is less influenced by the degree of lineaments compared with LCI and SCI. This is due to the use of different geophysical data sets represented in one inversion result, which in addition allows gathering the geophysical inversion into one result.}},
  author       = {{Martínez, Kerim and Nielsen, O. F. and Mendoza, J. A.}},
  language     = {{eng}},
  title        = {{Spatially Mutually Constrained Inversion of Airborne Hydrogeophysics Survey with Ground Geophysics and Borehole Data}},
  url          = {{http://dx.doi.org/10.3997/2214-4609.20144432}},
  doi          = {{10.3997/2214-4609.20144432}},
  year         = {{2011}},
}