Hydraulic Conductivity from Nuclear Magnetic Resonance Logs in Sediments with Elevated Magnetic Susceptibilities

This study examined the application of slim‐hole nuclear magnetic resonance (NMR) tools to estimate hydraulic conductivity ( K NMR ) in an unconsolidated aquifer that contains a range of grain sizes (silt to gravel) and high and variable magnetic susceptibilities (MS) (10 −4 to 10 −2 SI). A K calibration dataset was acquired at 1‐m intervals in three fully screened wells, and compared to K NMR estimates using the Schlumberger‐Doll research (SDR) equation with published empirical constants developed from previous studies in unconsolidated sediments. While K NMR using published constants was within an order of magnitude of K , the agreement, overprediction, or underprediction of K NMR varied with the MS distribution in each well. An examination of the effects of MS on NMR data and site‐specific empirical constants indicated that the exponent on T 2ML ( n ‐value in the SDR equation, representing the diffusion regime) was found to have the greatest influence on K NMR estimation accuracy, while NMR porosity did not improve the prediction of K . K NMR was further improved by integrating an MS log into the NMR analyses. A first approach detrended T 2ML for the effects of MS prior to calculating K NMR , and a second approach introduced an MS term into the SDR equation. Both were found to produce similar refinements of K NMR in intervals of elevated MS. This study found that low frequency NMR logging with short echo times shows promise for sites with moderate to elevated MS levels, and recommends a workflow that examines parameter relationships and integrates MS logs into the estimation of K NMR .