This is a service provided by RUcore, Rutgers University Community Repository. https://rucore.libraries.rutgers.edu/rutgers-lib/47718/syndicate/rss/ Copyright 2018, Rutgers, The State University of New Jersey cmmills@libraries.rutgers.edu (RUcore Syndication Service) en-us RUcore Syndication System, v1.0 Wed, 31 Dec 1969 19:00:00 -0500 RUcore, Rutgers University Repository RSS Record Syndication https://rucore.libraries.rutgers.edu/rutgers-lib/47718/ https://doi.org/doi:10.7282/T308676Q Wallace, David Samuel Thu, 01 Jan 2015 00:00:00 -0500 The greatest advantage of geophysical measurements is their ability to quickly, cheaply, and non-invasively provide detailed subsurface information. Therefore, a multitude of research has been conducted to investigate an accurate and robust relationship between geophysical measurements and permeability, a key parameter in any subsurface investigation. In pursuit of this goal, two methods, Nuclear Magnetic Resonance (NMR) and Spectral Induced Polarization (SIP), have proven to be useful and reliable tools for environmental investigations and permeability estimates. However, as with any geophysical method, NMR and SIP have their weaknesses, namely, the uncertainty associated with indirect measurements of the subsurface. This research explores whether a model that combines NMR and SIP parameters to estimate permeability is more accurate and robust than current models based on NMR and SIP data alone. In this research, NMR, SIP, and permeability measurements were made on glass bead packs meant to simulate natural unconsolidated aquifer or soil material. The surface roughness and bead size of these beads were altered in order to change the pore scale properties controlling permeability. Bead size appeared to have had a greater influence than surface roughness on the permeability of the glass bead packs. Measured permeability was compared to a common NMR permeability model and an SIP model designed for unconsolidated material. Both methods performed reasonably well with similar root mean square error (RMSE) and decent correlation with measured permeability. A combined NMR and SIP model was created by utilizing NMR measured peak relaxation time and SIP measured grain size and formation factor, and produced only slightly better estimates of permeability than the single method models. While a more accurate permeability model could not be formulated for this experiment, combining NMR and SIP data not only produced a comparable permeability model, but also identified the pore scale properties most relevant to the permeability of the glass bead packs.