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231224s2015 xx |||||o 00| ||eng c |
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|a 10.1111/gwat.12165
|2 doi
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|a pubmed24n0784.xml
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|a (NLM)24520904
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Parsekian, A D
|e verfasserin
|4 aut
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| 245 |
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|a Bootstrap calibration and uncertainty estimation of downhole NMR hydraulic conductivity estimates in an unconsolidated aquifer
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|c 2015
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 07.10.2015
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|a Date Revised 06.01.2015
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2014, National Ground Water Association.
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|a Characterization of hydraulic conductivity (K) in aquifers is critical for evaluation, management, and remediation of groundwater resources. While estimates of K have been traditionally obtained using hydraulic tests over discrete intervals in wells, geophysical measurements are emerging as an alternative way to estimate this parameter. Nuclear magnetic resonance (NMR) logging, a technology once largely applied to characterization of deep consolidated rock petroleum reservoirs, is beginning to see use in near-surface unconsolidated aquifers. Using a well-known rock physics relationship-the Schlumberger Doll Research (SDR) equation--K and porosity can be estimated from NMR water content and relaxation time. Calibration of SDR parameters is necessary for this transformation because NMR relaxation properties are, in part, a function of magnetic mineralization and pore space geometry, which are locally variable quantities. Here, we present a statistically based method for calibrating SDR parameters that establishes a range for the estimated parameters and simultaneously estimates the uncertainty of the resulting K values. We used co-located logging NMR and direct K measurements in an unconsolidated fluvial aquifer in Lawrence, Kansas, USA to demonstrate that K can be estimated using logging NMR to a similar level of uncertainty as with traditional direct hydraulic measurements in unconsolidated sediments under field conditions. Results of this study provide a benchmark for future calibrations of NMR to obtain K in unconsolidated sediments and suggest a method for evaluating uncertainty in both K and SDR parameter values
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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1 |
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|a Dlubac, K
|e verfasserin
|4 aut
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1 |
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|a Grunewald, E
|e verfasserin
|4 aut
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1 |
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|a Butler, J J
|e verfasserin
|4 aut
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|a Knight, R
|e verfasserin
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|a Walsh, D O
|e verfasserin
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|i Enthalten in
|t Ground water
|d 1979
|g 53(2015), 1 vom: 10. Jan., Seite 111-21
|w (DE-627)NLM098182528
|x 1745-6584
|7 nnns
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| 773 |
1 |
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|g volume:53
|g year:2015
|g number:1
|g day:10
|g month:01
|g pages:111-21
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|u http://dx.doi.org/10.1111/gwat.12165
|3 Volltext
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