Review and simulation of passive seismic tomography in block cave mining
| dc.contributor.author | Ghaychi Afrouz, Setareh | en |
| dc.contributor.author | Westman, Erik C. | en |
| dc.contributor.department | Mining and Minerals Engineering | en |
| dc.date.accessioned | 2021-02-22T18:04:50Z | en |
| dc.date.available | 2021-02-22T18:04:50Z | en |
| dc.date.issued | 2018 | en |
| dc.date.updated | 2021-02-22T18:04:45Z | en |
| dc.description.abstract | Seismic tomography methods are progressing in crustal seismology and at the smaller mining scale to recognise highly stressed or fracture-prone areas. Velocity variations measured by seismic tomography represent stress concentrations in the rock mass. Changes in these stress conditions are of interest in mining as they are linked to the instability of the underground openings. Rock fracturing generates seismic waves, which propagate with different velocities through portions of the rock mass that have different moduli. Both known and unknown seismic sources in mining environments generate active and passive tomography data, respectively. Active tomography utilises a known source time and location, while passive seismic tomography uses the mining-induced seismic events, for which the source time and location can only be estimated. Mining-induced seismic events generally have relatively low magnitudes, typically lower than ML = 3. The pattern of stress redistribution varies based on different mining methods at different depths. In this study, development of seismic tomography in the mining industry is traced through a review of background theory and recent applications. Additionally, a block caving simulation is presented, including the imaging of cave development, load distribution, and abutment zones. A simple elastic numerical model is used to model stress distribution surrounding a hypothetical block cave. Velocities are assigned to portions of the model corresponding to the stress level. With this velocity model, synthetic travel times are modelled. The synthetic travel times are then used as input to the tomography code. The velocity distribution, which is then generated through the tomography calculations, is compared to the initial, modelled velocity distribution providing a means for validating the quality of the results of the tomography approach for this application. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.36487/acg_rep/1815_14_afrouz | en |
| dc.identifier.isbn | 9780992481094 | en |
| dc.identifier.orcid | Ghaychi Afrouz, Setareh [0000-0002-5035-0207] | en |
| dc.identifier.uri | http://hdl.handle.net/10919/102420 | en |
| dc.language.iso | en | en |
| dc.publisher | Australian Centre for Geomechanics, Perth | en |
| dc.relation.ispartof | Fourth International Symposium on Block and Sublevel Caving | en |
| dc.rights | In Copyright (InC) | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.title | Review and simulation of passive seismic tomography in block cave mining | en |
| dc.title.serial | Proceedings of the Fourth International Symposium on Block and Sublevel Caving | en |
| dc.type | Conference proceeding | en |
| dc.type.dcmitype | Text | en |
| pubs.organisational-group | /Virginia Tech/Engineering | en |
| pubs.organisational-group | /Virginia Tech/Engineering/Mining and Minerals Engineering | en |
| pubs.organisational-group | /Virginia Tech | en |
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