Phenomena exposure from the large scale gas injection test (Lasgit) dataset using a bespoke data analysis toolkit

Bennett, D.P.; Cuss, R.J.; Vardon, P.J.; Harrington, J.F.; Thomas, H.R.. 2014 Phenomena exposure from the large scale gas injection test (Lasgit) dataset using a bespoke data analysis toolkit. In: Norris, S., (ed.) Clays in Natural and Engineered Barriers for Radioactive Waste Confinement. Geological Society of London, 497-505. (Geological Society Special Publications, 400, 400).

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5. Bennett et al. 2014 Phenomena exposure from the large scale gas injection Test (Lasgit) dataset using a bespoke data analysis toolkit (accepted author version).pdf - Accepted Version
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Official URL: http://dx.doi.org/10.1144/SP400.5

Abstract/Summary

The Large Scale Gas Injection Test (Lasgit) is a field-scale experiment designed to study the impact of gas buildup and subsequent migration through an engineered barrier system. Lasgit has a substantial experimental dataset containing in excess of 21 million datum points. The dataset is anticipated to contain a wealth of information, ranging from long-term trends and system behaviours to small-scale or ‘second-order’ features. In order to interrogate the Lasgit dataset, a bespoke computational toolkit, designed to expose difficult to observe phenomena, has been developed and applied to the dataset. The preliminary application of the toolkit, presented here, has resulted in a large number of phenomena being indicated/quantified, including highlighting of second-order events (small gas flows, perturbations in stress/pore-water sensors, etc.) and quantification of temperature record frequency content. Localized system behaviour has been shown to occur along with systematic aberrant behaviours that remain unexplained.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	https://doi.org/10.1144/SP400.5
ISSN:	0305-8719
Date made live:	07 Apr 2016 14:34 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/513399

Item Type:

Publication - Book Section

Digital Object Identifier (DOI):

https://doi.org/10.1144/SP400.5

ISSN:

0305-8719

Date made live:

07 Apr 2016 14:34 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/513399