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Technical Breakthrough Abstracts
Mar 13, 2023

Potential Application of Nuclear Magnetic Resonance to Infer In Situ Degree of Saturation in Tailings

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 149, Issue 5
Reliable measurement of the degree of saturation (Sr) is useful for geotechnical characterization because accurately establishing a sufficiently low Sr can obviate consideration of liquefaction risks. However, current technology to measure in situ Sr is limited. Nuclear magnetic resonance (NMR) logging has been used for many years in the oil and gas industry and is recently being utilized more widely in the mining industry (Coates et al. 1999; Trofimczyk et al. 2018). NMR provides in situ measurement of volumetric water content (VWC) in real time during logging. This has application in the assessment of Sr because through phase relationships, the following expression can be derived:
Sr=VWC1(VWCGWC)/Gs
(1)
where GWC = gravimetric water content; and Gs = specific gravity of solids. Given that in situ NMR logging requires drilling works to provide a PVC-cased hole for subsequent instrument insertion, disturbed specimens at regular intervals are easy to obtain, enabling straightforward measurement of GWC and Gs. This may therefore be a promising avenue to provide another in situ measurement of Sr in tailings.
A purpose-built chamber to enable specimens of reconstituted tailings to be tested with a field NMR tool was constructed and used in this study. The chamber has an inner diameter of 480 mm and height of 490 mm and was designed based on similar systems used for water calibrations of NMR tools. Test specimens consisting of copper tailings were reconstituted within the chamber at 15% and 20% GWC, such as might be produced at a filtered tailings deposit, and to a range of densities to obtain various Sr values. NMR measurements were conducted with a BMR60 slimline logging tool (Orica Digital Solutions, Perth, Western Australia) with a diameter of investigation of 230 mm. NMR measurements were made allowing Eq. (1) to be used and where an independent measure of VWC and Sr was available owing to the known volume and wet mass of each specimen.

Results and Implications

The results are presented in Figs. 1(a and b) as VWC inferred from the NMR and Sr predicted by NMR measurements using Eq. (1). The NMR-based estimates are seen to align very well with the gravimetric values, predicting Sr within a 10% in terms of Sr. Examination of the results indicates this error appears to largely be a result of slight NMR overestimation of VWC and the sensitivity of calculated Sr from Eq. (1) to VWC. The reliability seen in the estimated Sr exceeds other currently available techniques. Therefore, the results of this series of tests points to the feasibility of using in situ NMR measurements to estimate Sr.
Fig. 1. Experimental assessment: (a) VWC inferred from NMR compared with measured value; and (b) Sr values calculated based on Eq. (1) compared with those calculated directly through sample volume, with one standard deviation of NMR-based measurement shown.

References

Coates, G. R., L. Xiao, and M. G. Prammer. 1999. “NMR logging.” In Principles and applications. Huston,TX: Halliburton Energy Service.
Trofimczyk, K., M. Downey, T. Hopper, T. Neville, and B. Birt. 2018. “Continuous hydrogeological characterisation in iron ore deposits using borehole magnetic resonance.” ASEG Extended Abstracts 2018 (1): 1–6.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 149Issue 5May 2023

History

Received: Dec 20, 2022
Accepted: Jan 13, 2023
Published online: Mar 13, 2023
Published in print: May 1, 2023
Discussion open until: Aug 13, 2023

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Authors

Affiliations

Research Fellow, Dept. of Civil, Environmental, and Mining Engineering, Univ. of Western Australia, Crawley, WA 6009, Australia (corresponding author). ORCID: https://orcid.org/0000-0002-1867-1676. Email: [email protected]
Andy Fourie
Professor, Dept. of Civil, Environmental, and Mining Engineering, Univ. of Western Australia, Crawley, WA 6009, Australia.
Einar Fridjonsson
Senior Lecturer, Dept. of Chemical Engineering, Univ. of Western Australia, Crawley, WA 6009, Australia.
Nick Jervis-Bardy
Business Development Manager/Project Geophysicist, Orica Digital Solutions, 37 Kewdale Rd., Welshpool, WA 6106, Australia.
Mario Reyes
Operation Manager, Orica Digital Solutions, 37 Kewdale Rd., Welshpool, WA 6106, Australia.
Ruslan Nuriakhmetov
Lead—Business Development, Orica Digital Solutions, 37 Kewdale Rd., Welshpool, WA 6106, Australia.

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