DOI https://doi.org/10.36487/ACG_repo/2645_86
Cite As:
Törnman, W, Martinsson, J, Bayar, E, Ulziijargal, M-E, Uranchimeg, B, Lilley, C, Davies, A, Amir, M & Svanberg, E 2026, 'Findings from large-scale distributed acoustic sensing monitoring
of the Panel 0 block cave at Oyu Tolgoi', in A van As, D Cumming-Potvin & J Wesseloo (eds),
Caving 2026: Proceedings of the Sixth International Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 1-15,
https://doi.org/10.36487/ACG_repo/2645_86
Abstract:
This paper presents key findings from a large-scale deployment of distributed acoustic sensing (DAS) for seismic monitoring at an active block cave mine. The fibre-optic cables were installed in boreholes positioned to the side of the cave footprint to enable continuous monitoring of both strain and seismic activity throughout cave propagation. The system was designed to remain operational as the cave expanded, providing a rare opportunity to observe the evolution of seismic response in real time. The installation initially comprised 398 DAS channels, generating a large data volume that demonstrated the scalability and real-time performance of the processing software. Despite a suboptimal geometry for event location, with two nearly parallel boreholes, the end-to-end system successfully captured microseismic signals and located seismic events reflecting the stages of cave development. Using fibre optics also allows microseismic data to be integrated with strain and distributed strain sensing (DSS) measurements for enhanced interpretation. Overall, the study confirms that DAS is a viable and scalable tool for continuous, high-resolution seismic monitoring in block cave environments, and it highlights that sensor geometry should be carefully considered in the design phase to optimise event localisation and interpretive value.
Keywords: distributed acoustic sensing, block caving, microseismic monitoring, fibre-optic sensing, cave propagation, sensor geometry
References:
Bayar, E, Simanjuntak, K, Birch, D, Mardiansyah, F & Purwanto, H 2024, ‘Seismological data and analysis for the early stages of block caving’, in D Johansson & H Schunnesson (eds), MassMin 2024: Proceedings of the International Conference & Exhibition on Mass Mining, Luleå University of Technology, Luleå, pp. 893–908,
Hagelund, R & Levin, SA (eds) 2017, SEG-Y revision 2.0: Data Exchange Format, Society of Exploration Geophysicists,
Harris, PC & Wesseloo, J 2015, mXrap, version 5, computer software, Australian Centre for Geomechanics, Perth,
https://mxrap.com
Hartog, AH 2017, An Introduction to Distributed Optical Fibre Sensors, CRC Press, Boca Raton.
Lindsey, NJ, Martin, ER, Dreger, DS, Freifeld, B, Cole, S, James, SR, … Ajo-Franklin, JB 2017, ‘Fiber-optic network observations of earthquake wavefields’, Geophysical Research Letters, vol. 44, pp. 11,792–11,799,
Martinsson, J 2013, ‘Robust Bayesian hypocentre and uncertainty region estimation: the effect of heavy-tailed distributions and prior information in cases with poor, inconsistent and insufficient arrival times’, Geophysical Journal International, vol. 192, no. 1, pp. 1156–1178.
Mercier, J-P, van As, A, Carlson, C & Tumur-Ochir, B 2018, ‘Microseismic monitoring of the Oyu Tolgoi Hugo North Lift 1’, in Y Potvin & J Jakubec (eds), Caving 2018: Proceedings of the Fourth International Symposium on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 823–834,
Törnman, W & Martinsson, J 2020, ‘Reliable automatic processing of seismic events: solving the Swiss cheese problem’, in J Wesseloo (ed.), UMT 2020: Proceedings of the Second International Conference on Underground Mining Technology, Australian Centre for Geomechanics, Perth, pp. 155–172.
Törnman, W, Martinsson, J & Dineva, S 2021, ‘Robust Bayesian estimator for S-wave spectra, using a combined empirical Green’s function’, Geophysical Journal International, vol. 227, no. 1, pp. 403–438.
Törnman, W, Martinsson, J & Svanberg, E 2024, ‘Enriching seismic data with noise and blasts and the importance of credibility’, in P Andrieux & D Cumming-Potvin (eds), Deep Mining 2024: Proceedings of the 10th International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 207–216,