Kendrick Alexander K, Knight Rosemary, Johnson Carole D, Liu Gaisheng, Hart David J, Butler James J, Hunt Randall J
Department of Geophysics, Stanford University, Stanford, CA, 94305, USA.
U.S. Geological Survey, Storrs, CT, 06269, USA.
Ground Water. 2023 Nov-Dec;61(6):778-792. doi: 10.1111/gwat.13318. Epub 2023 May 18.
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 , 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 . 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 that matched or exceeded that of the other models. The Timur-Coates estimates of K were found to be substantially different from K . 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.
核磁共振（NMR）测井是一种很有前景的估算水力传导率（K）的方法。在过去约60年里，NMR测井已用于石油应用，并开发了不同模型来推导渗透率估算值。这些模型涉及校准参数，其值是通过对砂岩和碳酸盐进行数十年研究确定的。我们评估了使用五种模型，根据在美国威斯康星州中部两个野外场地的两口井中获取的NMR测井数据来推导冰川含水层中K的估算值。用直接推压式渗透仪（DPP）获得的K测量值，被用于在斯伦贝谢-多尔研究公司、西弗斯、蒂穆尔-科茨、科曾尼-戈德弗鲁瓦和回波总和（SOE）模型中获取校准参数，以便从NMR数据预测K；并且还用于评估这些模型预测K的能力。我们利用每口井中的NMR和DPP测量值为每个模型获得四个井尺度校准参数值；并通过使用所有数据为每个模型获得一个研究尺度参数值。SOE模型与K的一致性达到或超过了其他模型。发现蒂穆尔-科茨对K的估算值与K有很大差异。尽管发现斯伦贝谢-多尔、西弗斯和SOE模型的井尺度参数值变化小于2倍，但仍需要更多研究来确认它们的普遍适用性，以便从NMR测井数据获得K的准确估算值时无需进行特定场地校准。
