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Hydraulic properties at the North Sea island of Borkum derived from joint inversion of magnetic resonance and electrical resistivity soundings

机译:磁共振和电阻率测深联合反演得出的北海博尔库姆岛的水力特性

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For reliably predicting the impact of climate changes on salt/freshwater systems below barrier islands, a long-term hydraulic modelling is inevitable. As input we need the parameters porosity, salinity and hydraulic conductivity at the catchment scale, preferably non-invasively acquired with geophysical methods. We present a methodology to retrieve the searched parameters and a lithological interpretation by the joint analysis of magnetic resonance soundings (MRS) and vertical electric soundings (VES). Both data sets are jointly inverted for resistivity, water content and decay time using a joint inversion scheme. Coupling is accomplished by common layer thicknesses. We show the results of three soundings measured on the eastern part of the North Sea island of Borkum. Pumping test data is used to calibrate the petrophysical relationship for the local conditions in order to estimate permeability from nuclear magnetic resonance (NMR) data. Salinity is retrieved from water content and resistivity using a modified Archie equation calibrated by local samples. As a result we are able to predict porosity, salinity and hydraulic conductivities of the aquifers, including their uncertainties. The joint inversion significantly improves the reliability of the results. Verification is given by comparison with a borehole. A sounding in the flooding area demonstrates that only the combined inversion provides a correct subsurface model. Thanks to the joint application, we are able to distinguish fluid conductivity from lithology and provide reliable hydraulic parameters as shown by uncertainty analysis. These findings can finally be used to build groundwater flow models for simulating climate changes. This includes the improved geometry and lithological attribution, and also the parameters and their uncertainties.
机译:为了可靠地预测气候变化对屏障岛下方的盐/淡水系统的影响,长期的水力建模是不可避免的。作为输入,我们需要集水规模的孔隙度,盐度和水力传导率参数,最好是通过地球物理方法以非侵入方式获取。我们提出了一种方法,通过对磁共振测深(MRS)和垂直电测深(VES)的联合分析来检索搜索到的参数和岩性解释。使用联合反演方案将电阻率,水含量和衰减时间共同反演两个数据集。耦合是通过常见的层厚度实现的。我们显示了在北海博尔库姆岛东部测得的三种测深的结果。抽水试验数据用于校准局部条件的岩石物理关系,以便根据核磁共振(NMR)数据估算渗透率。盐度是通过使用经过局部采样校准的修改后的Archie方程从水含量和电阻率中获取的。结果,我们能够预测含水层的孔隙度,盐度和水导率,包括其不确定性。联合反演显着提高了结果的可靠性。通过与钻孔的比较来进行验证。淹没区域的声音表明,只有组合反演才能提供正确的地下模型。得益于联合应用,我们能够区分流体传导率和岩性,并提供可靠的水力参数,如不确定性分析所示。这些发现最终可以用于建立地下水流模型来模拟气候变化。这包括改进的几何形状和岩性属性,以及参数及其不确定性。

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