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024 7 _ |2 DOI
|a 10.1016/j.jappgeo.2010.01.008
024 7 _ |2 WOS
|a WOS:000276417700008
037 _ _ |a PreJuSER-9456
041 _ _ |a eng
082 _ _ |a 620
084 _ _ |2 WoS
|a Geosciences, Multidisciplinary
084 _ _ |2 WoS
|a Mining & Mineral Processing
100 1 _ |0 P:(DE-HGF)0
|a Nyari, Z.
|b 0
245 _ _ |a The use of non-conventional CPTe data in determination of 3-D electrical resistivity distribution
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2010
300 _ _ |a 255 - 265
336 7 _ |a Journal Article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a article
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440 _ 0 |0 14681
|a Journal of Applied Geophysics
|v 70
|x 0926-9851
|y 3
500 _ _ |a This work is funded partly by the NATO Collaborative Linkage Grant No. 979868. This paper presents partly the results of research project GVOP-3.1.1-2004-05-0187/3.0 supported by the National Development Plan, the EU co-financed part of the Europe Plan. This work was supported by the Research Fund of Istanbul University, project number: UDP-4295/23092009. We would like to thank Klaus Holliger (Editor-in-Chief) and the reviewers for their constructive remarks.
520 _ _ |a The spatial distribution of the electrical resistivity data provides useful information for investigating and modeling the fluid transport processes. 3D electrical resistivity distribution provides information about water flow and changes in electrical resistivity of the pore fluid.Therefore, to assist in understanding and modeling of the fluid transport process, 3D spatial distribution of the electrical resistivity data with the corresponded 3D geological section were mapped and interpreted in the test site located in western Germany. A process of deriving electrical resistivity values from the mechanical and radioactive parameters of cone penetration tests (CPT) and geological information of boreholes was presented. A reliable method which gives accurate resistivity values in cases of near surface sediments was introduced. Then a field test was executed where the calculated resistivity values were compared with the measured CPTe resistivity data. The CPTe (cone penetration test with electrical extension) data were also used in correlating to the ERT (electrical resistivity tomography) data. Consequently, obtained dense CPT surveys give us the possibility to determine a high resolution resistivity distribution of the investigated area. (C) 2010 Elsevier B.V. All rights reserved.
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588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a CPTe resistivity
653 2 0 |2 Author
|a Well-log interpretation
653 2 0 |2 Author
|a ERT
653 2 0 |2 Author
|a 3D resistivity distribution
653 2 0 |2 Author
|a Contamination
700 1 _ |0 P:(DE-HGF)0
|a Kanli, AI.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Janos, S.
|b 2
700 1 _ |0 P:(DE-Juel1)VDB9304
|a Tillmann, A.
|b 3
|u FZJ
773 _ _ |0 PERI:(DE-600)1496997-x
|a 10.1016/j.jappgeo.2010.01.008
|g Vol. 70, p. 255 - 265
|p 255 - 265
|q 70<255 - 265
|t Journal of applied geophysics
|v 70
|x 0926-9851
|y 2010
856 7 _ |u http://dx.doi.org/10.1016/j.jappgeo.2010.01.008
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