{"title":"Recovery and flow in cave mining: current knowledge gaps and the role of technology in the future","authors":"A. Campbell","doi":"10.36487/acg_repo/2035_0.04","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_0.04","url":null,"abstract":"Gravity flow of granular material in a caving mine is complex. Ore recovery and cave flow is impacted by wide particle size distributions, particle interlocking, an evolving cave geometry, and the mine draw strategy. However, these factors are rarely quantified in forecasts of cave performance at key stages in the planning process. Reliable tools for simulating cave flow and the technology to measure cave flow and footprint deformation have only emerged in the last 10 years. This includes technology such as electronic cave markers and tracker systems, 3D laser scanning for tunnel deformation and fragmentation measurement as well as coupled cave flow-deformation numerical simulations. \u0000This paper provides an overview of how the current state of cave flow knowledge has evolved and the knowledge gaps that still exist. The impact of these knowledge gaps is described in context with mine design and current design guidelines. A series of experiments to address these knowledge gaps have been conceptualised for future trials in existing and future caving mines. A methodology including instrumentation, monitoring requirements and operational practices is outlined for each experiment.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115506075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Vallejos, Roberto Miranda, E. Marambio, L. Burgos, Gabriel Sanhueza
{"title":"Assisted geotechnical design for sublevel open stoping using MineRoc® software","authors":"J. Vallejos, Roberto Miranda, E. Marambio, L. Burgos, Gabriel Sanhueza","doi":"10.36487/acg_repo/2035_15","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_15","url":null,"abstract":"The prediction of rock mass stability in sublevel open stope (SLOS) mining is performed in the design of open stopes to estimate the stope size required to reduce operational hazards and achieve continuous production. For almost four decades, the Stability Graph method has been used for this purpose. Several improvements of the Stability Graph method have taken place through the years. However, there is still work to be done. Accordingly, new case studies need to be continuously collected in order to update the Stability Graph, improving its reliability in predicting the stability state of open stopes to a specific site condition. \u0000Two main stages are considered for the collection of new case studies. First, the required geotechnical data of a specific site condition is collected. Then, in the back-analysis of open stopes, performance parameters related with the geometry are calculated, and a stability state is assigned to each case study. When these stages are systematically performed, the Stability Graph can be calibrated, delineating more reliable new stability boundaries. \u0000However, some problems in the collection of new case studies in SLOS operations such as disorder in geotechnical data or miscalculation of performance parameters impede the correct improvement of the stability boundaries. To deal with these problems, several computational tools have been developed and integrated into the software MineRoc®. \u0000This paper shows a geotechnical analysis of a proposed open stope design through an updated version of MineRoc®, using Stability Graph boundaries previously defined. New features of the software and an application to a specific sublevel open stoping mine are presented, illustrating how MineRoc® positively impacts on the mine design and planning processes.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile drone LiDAR structural data collection and analysis","authors":"C. Baylis, Desiree Kewe, E. Jones","doi":"10.36487/acg_repo/2035_16","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_16","url":null,"abstract":"The BHP Olympic Dam underground mine site has experienced ongoing issues with overbreak within its stopes in the recently-developed Southern Mining Area. The rock mass is poorly characterised and there are limited data on key structures influencing the ultimate shape of stopes and the extent of overbreak. The introduction of the Emesent Hovermap mobile drone LiDAR system has provided more extensive, accurate scan coverage of existing stopes, some which were previously inaccessible via earlier scanning methods. This new approach provides a much higher resolution scan than does the industry standard Cavity Monitoring System. With these data, a new methodology of digitally geo-mapping exposed structures within the stopes has been developed to create a new dataset. This is now used for further mine planning through comparing, validating, and appending to modelled geological structural features. This paper discusses the process of acquiring and preparing drone-based LiDAR data for geomechanics and explores the spatial and structural relationship between drone data and window mapping for implementation into Olympic Dam's future stope designs. The back-analysis of stope failures through the LiDAR scan structural mapping has provided a great deal of insight into structural characterisation of underground areas and can assist in planning future stopes. It has not only provided more detailed information on the previously identified large persistent structures but has also identified large multi-stope spanning structures which were previously unrecognised. Evidence of broader zones of weakness, more extensive than previously appreciated, were also uncovered through small-scale structural persistence through mine areas.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126987341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Breaking new ground: challenges and opportunities for maximising value from underground blasting","authors":"E. Sellers, E. F. Salmi","doi":"10.36487/acg_repo/2035_0.03","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_0.03","url":null,"abstract":"The challenges of underground mining operations have discouraged mine-to-mill value optimisation to maximise metal production by tailoring fragmentation for plant throughput. Improved and automated blasting techniques are required for modern remote, deeper, and highly stressed operations. The definition of value is changing with investors seeking environmental, social, and governance measures, as well as the traditional revenue and net present value approaches. In this paper, analyses of blasting from a range of underground operations are used to highlight the current challenges. Demonstration of how the lack of sufficient and appropriate continuous, 3D measurement of important properties such as blastability, in situ structures, hole deviation, and fragmentation aligned with the limited insights into the effect of mininginduced stresses show how current approaches can often lead to overbreak, dilution, production delays, the lack of excavation stability, and poor plant performance. The real-time fusion of data to recalibrate and monitor the continuously changing environment is required. On the horizon, there is a suite of new technologies such as wireless detonators, nitrate-free explosives, robotic operations, and cognitive spatial management that will enable a new generation of mining methods. These include in-place operations and inmine recovery where the material movement and the environmental footprint of mining operations is reduced whilst extraction is optimised, and productivity and excavation stability increased.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116136280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile LiDAR for underground geomechanics: learnings from the teens and directions for the twenties","authors":"E. Jones","doi":"10.36487/acg_repo/2035_0.01","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_0.01","url":null,"abstract":"Mobile LiDAR mapping techniques took a vast step forward during the twenty-teens, from research and development to consumer products. The promise of spatially mapping GPS-denied environments opened a world of possibilities; applications in underground geomechanics has been just one. The sensor technology and associated hardware has improved immensely and the future promises exciting developments. However, the data acquisition is only the first step in what is a whole new workflow applied to underground mining geomechanics. The workflow from data acquisition to final interpretation is not currently an automated, algorithmic process. Rather, it currently requires a conceptual understanding of the hardware, and various data processing methods to arrive at implementable results. The technology provides a valuable tool for aiding mining and geomechanical engineers. Its advantages include greater spatial coverage, detailed rock mass assessments, and safe access to previously inaccessible areas. The twenty-twenties hold great promise for the technology. \u0000This paper details the background to how mobile mapping technology has been introduced into underground mining geomechanics. The hardware and processing limitations are discussed with reference to case examples from the author’s experience using the technology. Finally, some speculation is offered into the hardware developments and industry adoption over the coming years.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124998104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rock property determination","authors":"I. Gray","doi":"10.36487/acg_repo/2035_20","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_20","url":null,"abstract":"Mining projects vary greatly in their location and rock properties. Despite this, the testing processes used to determine how they will behave geotechnically have become remarkably similar and more of a rote process. Test methods should be carefully tailored to suit all the possible behaviours of the rock mass. In underground mining, the properties of the underground structure are inherited rather than specified, and need to be determined. Usually, parts of the underground structure are required to collapse to yield ore, while others need to resist all manner of deformation and remain safely open. This paper reviews useful testing techniques with a particular focus on measuring what is appropriate for the situation. The paper starts by presenting some new ways of looking at uniaxial testing and the use of some simple tests to measure tensile and shear strength. It reviews the measurement of anisotropy, linear and non-linear elasticity, poroelasticity, plasticity and the multiple forms of failure. These include shear failure and tensile failure. Some of the questions surrounding anisotropy are reconsidered. Finally, the paper looks at how these measurements may be used.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124099767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence assisted technology for ground support construction","authors":"Benny Chen, Tom Harrington, P. Ayres, L. Gelinas","doi":"10.36487/acg_repo/2035_03","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_03","url":null,"abstract":"The typical underground mining development and reconciliation process across the world utilises the common design, construct, verify and rework methodology. The primary focus of a mining development contractor is to meet the required development schedule. Hence, the development cycle is often designed and optimised to reduce the cycle time and increase the advance rate. The reconciliation of development headings is time consuming, and often a manually intensive process of verifying the installation against design via survey. Hence, this is often left as a secondary task with long delays between any feedback to the development crews. \u0000Leveraging the latest in artificial intelligence technology, high density LiDAR and high speed computing systems can provide the ability for development crews to receive real-time in-cycle feedback on their ground support construction and also to monitor the effectiveness of the ground support. This has potential to significantly increase the efficiency and quality of reinforcement, whilst reducing wastage in development.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131182863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advances in seismic monitoring technologies","authors":"G. Goldswain","doi":"10.36487/acg_repo/2035_05","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_05","url":null,"abstract":"There have been several significant advances in seismic monitoring technologies and methods applied in mines in the past decade. Ranging from optical vibration sensors, through to low power and small footprint nodal sensor technologies, to imaging methods using induced seismicity and ambient noise. These new technologies and methods are starting to be applied to a range of applications in the underground mining environment. To support the ever-widening range of applications, seismic instrumentation and monitoring systems are evolving. We discuss some of the more significant developments, such as combining conventional sensors with more exotic sensors to produce hybrid sensors, and how nodal sensing technologies have inspired more portable and lower-power hardware. Some examples of recent products from the Institute of Mine Seismology (IMS) stable are presented to demonstrate these new acquisition technologies and finally, a few real-world application examples are presented which showcase how novel data collection and processing methodologies are being used in underground mines by IMS.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ground support strategy for optimisation of time schedule, Oyu Tolgoi Underground Mine","authors":"Batbayar Batkhuu, L. Johnson","doi":"10.36487/acg_repo/2035_19","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_19","url":null,"abstract":"Oyu Tolgoi is an underground block cave in the initial development stage, where rapid development, yet comprehensive, ground support is required to begin undercutting and start production. High variability in the rock mass, high stress and deep mining requires various ground support standards and sequences to provide initial stability during development and long-term stability for the production stage. \u0000Different strategies were developed for ground support and reinforcement that support short-term and longterm stability at the appropriate time, to optimise the development rates and reduce rework. The different approaches considered the excavation ground conditions and size, the different short- and long-term purposes of drives, and the future interactions with other excavations and the undercutting. \u0000Management of the strategies required implementation of new or modified data management systems, such as Deswik® and CaveCAD, to collate data acquired from face mapping, drive scanning, and scheduling into a system that could be easily monitored and rapidly modified when required. Strategies were planned into the monthly and weekly schedules using Deswik® for initial and remaining ground support. Remaining ground support maps with attributes of support elements assisted short- and mid-term planning for scheduling ground support remaining against the design. Face mapping, overbreak, and support damage levels were monitored as trigger points to ensure that the appropriate level of ground support was installed at the required time, changing the strategy when required through daily reviews. \u0000The management of geotechnical data and the implementation of ground support strategies have optimised the mining cycles while ensuring that the ground was supported appropriately at the required time. The strategies have increased development and support rates, improving schedule compliance.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123312930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliable automatic processing of seismic events: solving the Swiss cheese problem","authors":"W. Törnman, J. Martinsson","doi":"10.36487/acg_repo/2035_04","DOIUrl":"https://doi.org/10.36487/acg_repo/2035_04","url":null,"abstract":"BEMIS (Bayesian estimation of mining-induced seismicity) is a fully automatic, near real-time, robust and \u0000self-learning seismic processing solution for mining-induced seismic events. A prototype solution is tested in parallel with IMS’s routine manual processing in LKAB’s underground mines in Malmberget and Kiruna, providing four times more accurate earthquake locations based on 290 known blasts, 40 times faster processing time that scales with computer power, and the ability to detect and locate up to six times more events given the same input data. In addition to a fully automatic system, BEMIS provides a variety of unique functions such as quality control of all results, self-learning adaptation and calibrations, tomography, and prediction models of future seismicity. In this paper, we summarise the results from different investigations throughout time and discuss the unique approach considered to obtain reliable auto-processing in a challenging, unknown and changing environment.","PeriodicalId":241197,"journal":{"name":"Proceedings of the Second International Conference on Underground Mining Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128331385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}