Geophysical characterization of a nonaqueous-phase liquid–contaminated site

2010 ◽  
Vol 17 (4) ◽  
pp. 141-161 ◽  
Author(s):  
Alberto Godio ◽  
Alessandro Arato ◽  
Stefano Stocco
Keyword(s):  
Contaminated Site ◽  
Nonaqueous Phase Liquid ◽  
Phase Liquid ◽  
Geophysical Characterization

Practical application of 1 H benchtop NMR spectroscopy for the characterization of a nonaqueous phase liquid from a contaminated environment

2019 ◽  
Vol 57 (2-3) ◽  
pp. 93-100 ◽  
Author(s):  
Darcy Fallaise ◽  
Hannah Balkwill Tweedie ◽  
Julie Konzuk ◽  
Carol Cheyne ◽  
E. Erin Mack ◽  
...  
Keyword(s):  
Nmr Spectroscopy ◽  
Nonaqueous Phase Liquid ◽  
Practical Application ◽  
Phase Liquid

scholarly journals Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media

Geophysics ◽  
2015 ◽  
Vol 80 (2) ◽  
pp. H1-H11 ◽  
Author(s):  
Esther Babcock ◽  
John H. Bradford
Keyword(s):  
Thin Layer ◽  
Ground Penetrating Radar ◽  
Waveform Inversion ◽  
Contaminated Site ◽  
Data Sets ◽  
Nonaqueous Phase Liquid ◽  
Near Surface ◽  
Reflection Data ◽  
Phase Liquid ◽  
Ground Penetrating

Accurately quantifying thin-layer parameters by applying a targeted reflection waveform inversion methodology to ground-penetrating radar (GPR) reflection data may provide a useful tool for near-surface investigation and especially for contaminated site investigation where nonaqueous phase liquid (NAPL) contaminants are present. We implemented a targeted reflection waveform inversion algorithm to quantify thin-layer permittivity, thickness, and conductivity for NAPL thin ([Formula: see text] dominant wavelength [Formula: see text]) and ultrathin ([Formula: see text]) layers using GPR reflection data. The inversion used a nonlinear grid search with a Monte Carlo scheme to initialize starting values to find the global minimum. By taking a targeted approach using a time window around the peak amplitude of the reflection event of interest, our algorithm reduced the complexity in the inverse problem. We tested the inversion on three different synthetic data sets and four field data sets. In all testing, the inversion solved for NAPL-layer properties within 15% of the measured values. This algorithm provides a tool for site managers to prioritize remediation efforts based on quantitative assessments of contaminant quantity and location using GPR.

Integrating The Geophysical Characterization Of Seismic Thin Beds With Stochastic Reservoir Modeling: A Case Study From The Kutei Basin (Offshore Kalimantan, Indonesia)

2011 ◽  
Author(s):  
Giorgio Rocco Cavanna ◽  
Ernesto Caselgrandi ◽  
Elisa Corti ◽  
Alessandro Amato del Monte ◽  
Massimo Fervari ◽  
...  
Keyword(s):  
Reservoir Modeling ◽  
Geophysical Characterization

GEOPHYSICAL CHARACTERIZATION OF KARST AQUIFERS USING DYNAMIC RECHARGE EVENTS

2017 ◽  
Author(s):  
Andrew J. Luhmann ◽  
◽  
Susan L. Bilek ◽  
Ronni Grapenthin ◽  
Jonathan B. Martin
Keyword(s):  
Karst Aquifers ◽  
Geophysical Characterization
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