23rd EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010
DOI: 10.3997/2214-4609-pdb.175.sageep022
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Calibration and Filtering Strategies for Frequency Domain Electromagnetic Data

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Cited by 7 publications
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“…In each investigation line, we collected two datasets, keeping an average height of the device as constant as possible to 1 m ( Figure 4 ), one using a horizontal orientation of the coils ( HCP ) and the other with a vertical orientation ( VCP ). We acquired several hundreds of measurement points for each transect, using a sampling step of 0.5 s, collecting the survey a few times to avoid the possible air temperature drift [ 71 , 72 ]. Scattered values, local anomalies or negative values of conductivity may be recorded due to FDEM electronic instrumental drift.…”
Section: Methodsmentioning
confidence: 99%
“…In each investigation line, we collected two datasets, keeping an average height of the device as constant as possible to 1 m ( Figure 4 ), one using a horizontal orientation of the coils ( HCP ) and the other with a vertical orientation ( VCP ). We acquired several hundreds of measurement points for each transect, using a sampling step of 0.5 s, collecting the survey a few times to avoid the possible air temperature drift [ 71 , 72 ]. Scattered values, local anomalies or negative values of conductivity may be recorded due to FDEM electronic instrumental drift.…”
Section: Methodsmentioning
confidence: 99%
“…Large-scale EMI data are rarely normally distributed [Minsley et al, 2012], although this is required for most filter strategies. To overcome this limitation, we developed a novel histogram-filter that identifies and excludes outliers.…”
Section: Processing and Filteringmentioning
confidence: 99%
“…However, drilling at numerous sampling locations may be required. Another calibration approach relies on a linear regression between predicted apparent electrical conductivities obtained from a Maxwell-based full-solution EM forward model using inverted ERT data as input and the ECa values recorded with EMI along the same transect [Lavou e et al, 2010;Minsley et al, 2012]. Sudduth et al [2013] inverted calibrated EMI data for two-layer and three-layer subsurface models using the linear local sensitivity forward model of McNeill [1980] that estimates ECa under the low induction number (LIN) approximation, i.e., the induction number has to be much smaller than unity.…”
Section: Introductionmentioning
confidence: 99%
“…A similar approach has been presented by Deszcz-Pan and others (1998), Reid and Bishop (2004), Brodie and Sambridge (2006) and Minsley and others (2012). Because of systematic errors in our instrument, we corrected our data according to Eqns (1) and (2) to get reliable results.…”
Section: Methodsmentioning
confidence: 96%