Gurmeet Shekhar, A. Gustafson, Anders Hersinger, K. Jonsson, H. Schunnesson
{"title":"Development of a model for economic control of loading in sublevel caving mines","authors":"Gurmeet Shekhar, A. Gustafson, Anders Hersinger, K. Jonsson, H. Schunnesson","doi":"10.1080/25726668.2019.1586371","DOIUrl":"https://doi.org/10.1080/25726668.2019.1586371","url":null,"abstract":"ABSTRACT This paper presents an economic model for optimizing loading at the draw point in sublevel caving (SLC) operations. The input data consist of estimated bucket grades based on bucket weights from Load Haul Dump machines. This information, together with average operational mining costs, was used to create an economic model providing a real-time economic assessment of the draw point performance for SLC rings. The results demonstrate the importance of continuous draw point monitoring to optimize SLC operations. The proposed model provides an economic assessment of operating draw points and will help mine personnel to decide when to stop loading from a blasted ring. It can also help mine management understand the complexity of material flow in SLC operations. Finally, it provides operational flexibility for the mine to optimize loading at the draw point by increasing ore recovery while maintaining operational control of draw point performance.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"39 1","pages":"118 - 128"},"PeriodicalIF":1.1,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76211232","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":"Approximate blast movement modelling for improved grade control","authors":"Y. V. Vasylchuk, C. Deutsch","doi":"10.1080/25726668.2019.1583843","DOIUrl":"https://doi.org/10.1080/25726668.2019.1583843","url":null,"abstract":"ABSTRACT An optimization algorithm has been developed to model blast-induced displacement of rock in 3-D using gridded pre- and post-blast topography and direct blast movement measurements. The blast movement problem is expressed as an optimization assignment problem. The optimization assignment problem is solved by a heuristic algorithm offering an approximate solution in a reasonable time. The objective function and optimization details are explained. An example demonstrates the steps required to model blast movement. A realistic blast movement model improves grade control by allowing better positioning of dig lines and more correct determination of the correct destination for mined rock. The algorithm is suitable for mapping pre-blast grades, categories, expected profit, or other information onto the post-blast configuration of the muckpile.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"15 1","pages":"152 - 161"},"PeriodicalIF":1.1,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80253774","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":"Interpreting roof extensometry in coal mine roofs","authors":"R. Seedsman","doi":"10.1080/25726668.2019.1583458","DOIUrl":"https://doi.org/10.1080/25726668.2019.1583458","url":null,"abstract":"ABSTRACT When the displacement at the roof line is greater than about 40 mm, extensometry in the immediate roof of coal mine roadways reveals similar displacement patterns. The deformation within the roof can be characterised by a linear bulking factor in the order of 1–3%. It is suggested that this bulking can be interpreted to be the result of the volume increase after brittle failure. Bulking factors increase with the height of brittle failure and this may be related to the greater horizontal closure to which the failed material is exposed. Displacement triggers used to manage the stability of the roadways can be related to the onset of brittle failure. Modelling of the straining of a jointed bedded rock mass suggests the development of localised shear and dilational deformations of up to 90 mm which could cause the failure of fully grouted cables.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"14 1","pages":"143 - 151"},"PeriodicalIF":1.1,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85923749","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":"Energy consumption in mine haulage due to road pavement performance","authors":"Jarrad Coffey, H. Nikraz, C. Leek","doi":"10.1080/25726668.2019.1577062","DOIUrl":"https://doi.org/10.1080/25726668.2019.1577062","url":null,"abstract":"ABSTRACT Mine haul road pavements are often designed with informal methods. This approach means the energy consumption in haulage is not quantified and so pavement operating costs are not able to be defined. The energy consumption of haul trucks operating on unbound and cementitiously modified haul road pavement basecourse and wearing courses were estimated with variable traffic, climate and maintenance inputs. Energy consumption estimates showed that significant benefits may arise through the use of superior gravels that contain a suitable fines content with low to medium plasticity in the pavement wearing course. Similarly, it was shown that the pavement structural class significantly impacts haul truck energy consumption. Structural class is determined by pavement design and may be improved by increasing the pavement depth or utilizing stiffer materials. Estimating the energy consumption of haul trucks as part of the pavement design process would allow optimization of capital and operating costs over the life of a haul road.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"139 1","pages":"106 - 117"},"PeriodicalIF":1.1,"publicationDate":"2019-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78520210","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":"Application of simultaneous stochastic optimization with geometallurgical decisions at a copper–gold mining complex","authors":"Ashish Kumar, R. Dimitrakopoulos","doi":"10.1080/25726668.2019.1575053","DOIUrl":"https://doi.org/10.1080/25726668.2019.1575053","url":null,"abstract":"ABSTRACT Simultaneous stochastic optimization of mining complexes aims to optimize its different components in a single optimization model under grade, geometallurgical and material type uncertainty. The single optimization model capitalizes on synergies between the different components and the quantified variability and uncertainty of the materials mined, to better meet production targets while maximizing the net present value (NPV) of a mining complex. Integrating uncertainty and decisions about geometallurgical aspects of materials in the optimization model assists in achieving higher and more stable throughput with comminution circuits. This paper introduces an approach to integrate uncertainty and decisions about two non-additive geometallurgical properties, semi-autogenous power index and bond work index in the simultaneous stochastic optimization model. An application of the proposed approach at a large copper–gold mining complex indicates higher chances of meeting the different production targets, substantial increase in metal production and a 19.3% increase in NPV compared to the conventional plan.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"63 1","pages":"105 - 88"},"PeriodicalIF":1.1,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76704487","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":"Virtual monitoring method for hydraulic supports based on digital twin theory","authors":"Jiacheng Xie, Xuewen Wang, Zhaojian Yang, Shangqing Hao","doi":"10.1080/25726668.2019.1569367","DOIUrl":"https://doi.org/10.1080/25726668.2019.1569367","url":null,"abstract":"ABSTRACT This study proposes a virtual monitoring method for hydraulic supports based on digital twin theory. This method includes an information model, which monitors the attitudes of the hydraulic supports using an information fusion algorithm. This is combined with a virtual digital model that simulates the actual hydraulic support. Important technological aspects of the monitoring system were achieved at the real-virtual interface, which digitizes and modularizes the management and connection processes of the hydraulic supports over its entire life cycle. Finally, experiments were conducted and the real-time virtual images were synchronized with the actual motion of the support within one second, and the error range between the virtual and actual support postures did not exceed 1%. This study demonstrates the potential of this novel combined approach to make it possible to effectively monitor and make decisions regarding the safe and efficient operation of mechanized mine equipment that employ hydraulic supports.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"7 1","pages":"77 - 87"},"PeriodicalIF":1.1,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88257150","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":"Long-term production scheduling optimization and 3D material mixing analysis for block caving mines","authors":"F. Khodayari, Y. Pourrahimian","doi":"10.1080/25726668.2018.1563742","DOIUrl":"https://doi.org/10.1080/25726668.2018.1563742","url":null,"abstract":"ABSTRACT Although some scheduling optimization models can be found in the literature, few of them include material flow and the resulting dilution. In this paper, a 3D mixing methodology is proposed to be incorporated into the production schedule model. To capture horizontal and vertical mixing, different scenarios are generated based on the particles that fall into a 3D cone of movement, CoM. The proposed model is a block caving scheduling optimizer, BCSO, which includes mixing in the optimization. The BCSO was tested on a real-case block caving mine with 424 drawpoints; also, a number of production schedules were generated for the same mine using PCBC GEOVIA software. Resulting production schedules show that the BCSO can improve the NPV of the project by 2% to 4% compared to the best case generated by PCBC.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"1 1","pages":"65 - 76"},"PeriodicalIF":1.1,"publicationDate":"2019-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90942194","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}
Taís Renata Câmara, Ronald Scheffer Leal, R. Peroni, L. Capponi
{"title":"Controlling operational dilution in open-pit mining","authors":"Taís Renata Câmara, Ronald Scheffer Leal, R. Peroni, L. Capponi","doi":"10.1080/25726668.2018.1470275","DOIUrl":"https://doi.org/10.1080/25726668.2018.1470275","url":null,"abstract":"ABSTRACT Dilution and ore loss are important factors that can affect costs and profitability of a mining operation by lowering the quantity of mineral or metal that can be produced from each ton of processed ore. When discussing open-pit mining, dilution and ore loss are sometimes assumed as fixed factors in geostatistical block models and cut-off grade calculations, without considering specific particularities of the deposit and operation. This paper proposes to quantify the dilution caused by operational inefficiency through identifying the ore blocks that are a part of the short-term plans and mapping their neighbourhood, considering the nature of the contacts and the differences in grades. This technique enables the operational dilution to be calculated. It is applicable for operations using mechanical excavation and/or blasting. The results demonstrate that operational dilution can be measured and controlled to improve the tonnage and grade reconciliation between planning and production.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"13 1","pages":"1 - 8"},"PeriodicalIF":1.1,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77483657","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":"A stochastic hybrid simulation-optimization approach towards haul fleet sizing in surface mines","authors":"A. Moradi Afrapoli, M. Tabesh, H. Askari-Nasab","doi":"10.1080/25726668.2018.1473314","DOIUrl":"https://doi.org/10.1080/25726668.2018.1473314","url":null,"abstract":"ABSTRACT Haul fleet size determination is a critical task in any surface mining operation where the material is handled using the truck-and-shovel system. Although the problem of finding the optimum haulage fleet size has been thoroughly studied, there are two important shortcomings: disregarding the effects of downstream processes on the operation and ignoring the fleet management system effects. This paper presents an integrated simulation-optimization framework to address the haul fleet size determination problem surface mines and target the two shortcomings listed above. In the developed framework, the mining operation, the processing plants, and the operational decision tools communicate with each other to find the best size of the haul fleet required to meet the production schedule. Results of the study show that the developed framework is capable of handling the operation with 13% less number of trucks than the required number of trucks suggested by deterministic calculations.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"73 1","pages":"20 - 9"},"PeriodicalIF":1.1,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74403422","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}
Petrus J. Terblanche, M. Kearney, M. Nehring, P. Knights
{"title":"Potential of on-board energy recovery systems to reduce haulage costs over the life of a deep surface mine","authors":"Petrus J. Terblanche, M. Kearney, M. Nehring, P. Knights","doi":"10.1080/25726668.2018.1554933","DOIUrl":"https://doi.org/10.1080/25726668.2018.1554933","url":null,"abstract":"ABSTRACT The installation of energy recovery systems (ERSs) on-board diesel-electric mine haul trucks to capture energy when braking and re-inject stored energy on acceleration and ramp ascent, is proposed to reduce haul costs in surface mining. ERSs would add to equipment cost and reduce truck payload, reducing productivity and effectively increasing other haul-related costs. However, stored energy could reduce fuel consumption and could be used to reduce cycle time thereby improving productivity when conditions are favourable. This paper investigates how the installation of fixed size electro-mechanical flywheel (EMFW) or lithium iron phosphate (LiFePO4) based ERSs could affect the overall cost of truck haulage over the 20-year life of a metalliferous surface mine reaching 600 m deep. The simulation study suggests LiFePO4 technology can be expected to provide significantly greater haul cost reductions than the EMFW technology by reducing haul costs by 1.4–6.2% depending on the energy re-injection strategy employed.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"18 1","pages":"51 - 64"},"PeriodicalIF":1.1,"publicationDate":"2018-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85096509","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}