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We investigate elements of a framework to efficiently map hydraulic conductivity (K) over wide areas by integrating surface and logging NMR data. Central to the broader framework is the need to characterize site- and measurement-specific relationships between surface NMR, logging NMR, and hydraulic conductivity data sets. We outline progress toward this goal focusing separately on the relationship between each of the three data types, emphasizing most recent findings. We identify well-development as an important factor affecting the relationship between NMR logging data and K. We also present results showing that multi-pulse surface NMR sequences provide access to NMR parameters more closely related to K. Finally, we present data examples illustrating extension of the framework to wide-scale acquisition of 2D surface NMR data.
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