Wil O.C. Ward
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
Authors
Paul B. Wilkinson
Jon E. Chambers
Henrik Nilsson
Oliver Kuras
Li Bai
Abstract
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.
Citation
Ward, W. O., Wilkinson, P. B., Chambers, J. E., Nilsson, H., Kuras, O., & Bai, L. (in press). Tracking tracer motion in a 4-D electrical resistivity tomography experiment. Water Resources Research, 52(5), https://doi.org/10.1002/2015WR017958
Journal Article Type | Article |
---|---|
Acceptance Date | May 4, 2016 |
Online Publication Date | May 26, 2016 |
Deposit Date | Jun 21, 2016 |
Publicly Available Date | Jun 21, 2016 |
Journal | Water Resources Research |
Print ISSN | 0043-1397 |
Electronic ISSN | 1944-7973 |
Publisher | American Geophysical Union |
Peer Reviewed | Peer Reviewed |
Volume | 52 |
Issue | 5 |
DOI | https://doi.org/10.1002/2015WR017958 |
Public URL | https://nottingham-repository.worktribe.com/output/788643 |
Publisher URL | http://onlinelibrary.wiley.com/doi/10.1002/2015WR017958/abstract;jsessionid=4B021E8E23081329CE83237FB491E2C0.f02t04 |
Additional Information | c2016 American Geophysical Union. |
Contract Date | Jun 21, 2016 |
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