Literature DB >> 28888731

Mechanism for detecting NAPL using electrical resistivity imaging.

Todd Halihan1, Valina Sefa2, Tom Sale3, Mark Lyverse4.   

Abstract

The detection of non-aqueous phase liquid (NAPL) related impacts in freshwater environments by electrical resistivity imaging (ERI) has been clearly demonstrated in field conditions, but the mechanism generating the resistive signature is poorly understood. An electrical barrier mechanism which allows for detecting NAPLs with ERI is tested by developing a theoretical basis for the mechanism, testing the mechanism in a two-dimensional sand tank with ERI, and performing forward modeling of the laboratory experiment. The NAPL barrier theory assumes at low bulk soil NAPL concentrations, thin saturated NAPL barriers can block pore throats and generate a detectable electrically resistive signal. The sand tank experiment utilized a photographic technique to quantify petroleum saturation, and to help determine whether ERI can detect and quantify NAPL across the water table. This experiment demonstrates electrical imaging methods can detect small quantities of NAPL of sufficient thickness in formations. The bulk volume of NAPL is not the controlling variable for the amount of resistivity signal generated. The resistivity signal is primarily due to a zone of high resistivity separate phase liquid blocking current flow through the fully NAPL saturated pores spaces. For the conditions in this tank experiment, NAPL thicknesses of 3.3cm and higher in the formation was the threshold for detectable changes in resistivity of 3% and greater. The maximum change in resistivity due to the presence of NAPL was an increase of 37%. Forward resistivity models of the experiment confirm the barrier mechanism theory for the tank experiment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrical resistivity imaging; LNAPL; Mechanism; NAPL; NAPL detection; NAPL saturation

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Year:  2017        PMID: 28888731     DOI: 10.1016/j.jconhyd.2017.08.007

Source DB:  PubMed          Journal:  J Contam Hydrol        ISSN: 0169-7722            Impact factor:   3.188


  1 in total

1.  Estimating biofuel contaminant concentration from 4D ERT with mixing models.

Authors:  D R Glaser; R D Henderson; D D Werkema; T J Johnson; R J Versteeg
Journal:  J Contam Hydrol       Date:  2022-05-14       Impact factor: 4.184

  1 in total

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