Tracking tracer motion in a 4-D electrical resistivity tomography experiment

Tracking tracer motion in a 4-D electrical resistivity tomography experiment

A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subsurface tracer is monitored by predicting and updat...

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Main Authors: Ward, Wil O.C., Wilkinson, Paul B., Chambers, Jon E., Nilsson, Henrik, Kuras, Oliver, Bai, Li
Format: Article
Language:English
Published: American Geophysical Union 2016
Online Access:http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/1/WardEtAl-WRR2016-TrackingIndependentTracerMomentsInA4DElectricalResistivityTomographyExperiment.pdf
id nottingham-34202
recordtype eprints
spelling nottingham-342022017-10-12T20:51:37Z http://eprints.nottingham.ac.uk/34202/ Tracking tracer motion in a 4-D electrical resistivity tomography experiment Ward, Wil O.C. Wilkinson, Paul B. Chambers, Jon E. Nilsson, Henrik Kuras, Oliver Bai, Li A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subsurface tracer is monitored by predicting and updating a state model representing its movements. Observations for the Kalman filter are gathered using the maximally stable volumes algorithm, which is used to dynamically threshold local regions of an ERT image sequence to detect the tracer at each time step. The application of the framework to the results of 2-D and 3-D tracer monitoring experiments show that the proposed method is effective for detecting and tracking tracer plumes in ERT images in the presence of noise, without intermediate manual intervention. American Geophysical Union 2016-05-26 Article PeerReviewed application/pdf en http://eprints.nottingham.ac.uk/34202/1/WardEtAl-WRR2016-TrackingIndependentTracerMomentsInA4DElectricalResistivityTomographyExperiment.pdf Ward, Wil O.C. and Wilkinson, Paul B. and Chambers, Jon E. and Nilsson, Henrik and Kuras, Oliver and Bai, Li (2016) Tracking tracer motion in a 4-D electrical resistivity tomography experiment. Water Resources Research, 52 (5). pp. 4078-4094. ISSN 1944-7973 http://onlinelibrary.wiley.com/doi/10.1002/2015WR017958/abstract;jsessionid=4B021E8E23081329CE83237FB491E2C0.f02t04 doi:10.1002/2015WR017958 doi:10.1002/2015WR017958
repository_type Digital Repository
institution_category Local University
institution University of Nottingham Malaysia Campus
building Nottingham Research Data Repository
collection Online Access
language English
description A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subsurface tracer is monitored by predicting and updating a state model representing its movements. Observations for the Kalman filter are gathered using the maximally stable volumes algorithm, which is used to dynamically threshold local regions of an ERT image sequence to detect the tracer at each time step. The application of the framework to the results of 2-D and 3-D tracer monitoring experiments show that the proposed method is effective for detecting and tracking tracer plumes in ERT images in the presence of noise, without intermediate manual intervention.
format Article
author Ward, Wil O.C.
Wilkinson, Paul B.
Chambers, Jon E.
Nilsson, Henrik
Kuras, Oliver
Bai, Li
spellingShingle Ward, Wil O.C.
Wilkinson, Paul B.
Chambers, Jon E.
Nilsson, Henrik
Kuras, Oliver
Bai, Li
Tracking tracer motion in a 4-D electrical resistivity tomography experiment
author_facet Ward, Wil O.C.
Wilkinson, Paul B.
Chambers, Jon E.
Nilsson, Henrik
Kuras, Oliver
Bai, Li
author_sort Ward, Wil O.C.
title Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_short Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_full Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_fullStr Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_full_unstemmed Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_sort tracking tracer motion in a 4-d electrical resistivity tomography experiment
publisher American Geophysical Union
publishDate 2016
url http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/
http://eprints.nottingham.ac.uk/34202/1/WardEtAl-WRR2016-TrackingIndependentTracerMomentsInA4DElectricalResistivityTomographyExperiment.pdf
first_indexed 2018-09-06T12:26:34Z
last_indexed 2018-09-06T12:26:34Z
_version_ 1610861033373564928

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