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
Published:	American Geophysical Union 2016
Online Access:	https://eprints.nottingham.ac.uk/34202/

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author	Ward, Wil O.C. Wilkinson, Paul B. Chambers, Jon E. Nilsson, Henrik Kuras, Oliver Bai, Li
author_facet	Ward, Wil O.C. Wilkinson, Paul B. Chambers, Jon E. Nilsson, Henrik Kuras, Oliver Bai, Li
author_sort	Ward, Wil O.C.
building	Nottingham Research Data Repository
collection	Online Access
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.
first_indexed	2025-11-14T19:21:54Z
format	Article
id	nottingham-34202
institution	University of Nottingham Malaysia Campus
institution_category	Local University
last_indexed	2025-11-14T19:21:54Z
publishDate	2016
publisher	American Geophysical Union
recordtype	eprints
repository_type	Digital Repository
spelling	nottingham-342022020-05-04T17:50:28Z https://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 Ward, Wil O.C., Wilkinson, Paul B., Chambers, Jon E., Nilsson, Henrik, 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
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
title	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_short	Tracking tracer motion in a 4-D electrical resistivity tomography experiment
title_sort	tracking tracer motion in a 4-d electrical resistivity tomography experiment
url	https://eprints.nottingham.ac.uk/34202/ https://eprints.nottingham.ac.uk/34202/ https://eprints.nottingham.ac.uk/34202/

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

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