Evaluation of Models for Estimating Hydraulic Conductivity in Glacial Aquifers with NMR Logging.

Autor: Kendrick AK; Department of Geophysics, Stanford University, Stanford, CA, 94305, USA., Knight R, Johnson CD; U.S. Geological Survey, Storrs, CT, 06269, USA., Liu G; Kansas Geological Survey, University of Kansas, Lawrence, KS, 66047, USA., Hart DJ; Wisconsin Geological and Natural History Survey, University of Wisconsin-Extension, Madison, WI, 53705, USA., Butler JJ Jr; Kansas Geological Survey, University of Kansas, Lawrence, KS, 66047, USA., Hunt RJ; U.S. Geological Survey, Upper Midwest Water Science Center, Middleton, WI, 53562, USA.
Jazyk: angličtina
Zdroj: Ground water [Ground Water] 2023 Nov-Dec; Vol. 61 (6), pp. 778-792. Date of Electronic Publication: 2023 May 18.
DOI: 10.1111/gwat.13318
Abstrakt: Nuclear magnetic resonance (NMR) logging is a promising method for estimating hydraulic conductivity (K). During the past ∼60 years, NMR logging has been used for petroleum applications, and different models have been developed for deriving estimates of permeability. These models involve calibration parameters whose values were determined through decades of research on sandstones and carbonates. We assessed the use of five models to derive estimates of K in glacial aquifers from NMR logging data acquired in two wells at each of two field sites in central Wisconsin, USA. Measurements of K, obtained with a direct push permeameter (DPP), K DPP , were used to obtain the calibration parameters in the Schlumberger-Doll Research, Seevers, Timur-Coates, Kozeny-Godefroy, and sum-of-echoes (SOE) models so as to predict K from the NMR data; and were also used to assess the ability of the models to predict K DPP . We obtained four well-scale calibration parameter values for each model using the NMR and DPP measurements in each well; and one study-scale parameter value for each model by using all data. The SOE model achieved an agreement with K DPP that matched or exceeded that of the other models. The Timur-Coates estimates of K were found to be substantially different from K DPP . Although the well-scale parameter values for the Schlumberger-Doll, Seevers, and SOE models were found to vary by less than a factor of 2, more research is needed to confirm their general applicability so that site-specific calibration is not required to obtain accurate estimates of K from NMR logging data.
(© 2023 The Authors. Groundwater published by Wiley Periodicals LLC on behalf of National Ground Water Association.)
Databáze: MEDLINE
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