Sheo Shankar Rai, V. Murthy, Rahul Kumar, M. Maniteja, Ashutosh Kumar Singh
{"title":"Using machine learning algorithms to predict cast blasting performance in surface mining","authors":"Sheo Shankar Rai, V. Murthy, Rahul Kumar, M. Maniteja, Ashutosh Kumar Singh","doi":"10.1080/25726668.2022.2078090","DOIUrl":"https://doi.org/10.1080/25726668.2022.2078090","url":null,"abstract":"ABSTRACT Overburden removal is a major activity of surface coal mining and accounts for over 60–70% of the costs. Cast blasting is integral to overburden removal using draglines. Knowledge of cast blasting was combined with data analytics and machine learning algorithms to predict cast blast percentage. In a typical study, the cast percentage is predicted as a function of key input variables, namely (1) height to burden (H/b) ratio, (2) height to width (H/W) ratio, (3) length to width (L/W) ratio, (4) effective in-hole explosive density (de – te/m3), (5) powder factor (PF) (m3/kg – volume of rock broken per kg of explosive), and (6) average delay per unit width of burden (ms/m). Random forest algorithm was used under five-fold cross-validation with 68 datasets split into 57 for training and 11 for testing purposes. The model produced an R 2 value of 69.16% and 67.37% respectively on the training and testing data.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"20 1","pages":"191 - 209"},"PeriodicalIF":1.1,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82703528","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":"Analysis of failure associated with longwall face during the main weighting period using a numerical modelling approach","authors":"Sunny Murmu, G. Budi","doi":"10.1080/25726668.2022.2082152","DOIUrl":"https://doi.org/10.1080/25726668.2022.2082152","url":null,"abstract":"ABSTRACT A FLAC3D based model has been developed to estimate the extent of coal wall spalling for a longwall face having a working depth of 406.5 m during the main weighting period. The results obtained from the model helped in characterizing two key phases of main weighting, namely, peak stress, and main fall period based on vertical stress concentration factor, percentage of yield zones, and extent of yielding ahead of the face. The maximum extent of coal wall spalling of 2 m was observed during the main fall period. Spalling is mainly concentrated near the upper-middle and the top sections of the face.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"59 1","pages":"210 - 227"},"PeriodicalIF":1.1,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88666787","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":"Loose rock detection methods for automating the scaling process","authors":"Alexandra Radl, R. Mitra, Elisabeth Clausen","doi":"10.1080/25726668.2022.2078091","DOIUrl":"https://doi.org/10.1080/25726668.2022.2078091","url":null,"abstract":"ABSTRACT For the scaling process to be successful, it is important to first detect the loose rock. Even today, this task is mainly performed by experienced personnel. This leads to opportunities for increased potential to use sensor driven digital assistance systems. This paper presents a review and analysis of sensor-based loose rock detection methods considering the specific conditions of testing and use. The investigations can be classified into three categories based on their respective sensor technology approach. The opportunities for automating the scaling process highly depend on the method used. If scaling is conducted manually, the pre-entry examination could be automated. For the automation of the entire process, the use of machinery is more beneficial. Long wave infrared (LWIR) cameras or visual techniques have a great potential. However, in the case of LWIR, innovative methods for generating a sufficient heat flow between air and rock need to be developed in future.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"60 1","pages":"249 - 255"},"PeriodicalIF":1.1,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76510336","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":"Financial risk analysis with uncertainties of phosphate ore beneficiation","authors":"Mahmoud Said, A. El-Midany","doi":"10.1080/25726668.2022.2053424","DOIUrl":"https://doi.org/10.1080/25726668.2022.2053424","url":null,"abstract":"ABSTRACT In this paper, the net present value (NPV) of a phosphate ore beneficiation flowsheet is analysed under appropriate technical-economic conditions, considering all related uncertainties, using a new Economic Mine Value (EMV) dynamic model to assess the feasibility of the flowsheet. The stochastic NPV of the dynamic model showed that the project is 53.3% more economically viable than the static deterministic NPV. Risk analysis showed that the net present value-at-risk (NPVaR) is likely to achieve a value less than zero, with a 4.7% chance of incurring a financial loss. In addition, sensitivity analysis ranked the model variables according to their impact on the stochastic NPV. The NPV was optimized by adjusting the capacity and capital costs (CAPEX) as decision variables, imposing the price as a model constraint, and using a NPVaR of 1% to maximize NPV. The EMV model is a universal model that can be applied to various mineral deposits.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"24 1","pages":"115 - 127"},"PeriodicalIF":1.1,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73480503","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}
Mojtaba Yeganejou, Mahdi Badiozamani, A. Moradi-Afrapoli, H. Askari-Nasab
{"title":"Integration of simulation and dispatch modelling to predict fleet productivity: an open-pit mining case","authors":"Mojtaba Yeganejou, Mahdi Badiozamani, A. Moradi-Afrapoli, H. Askari-Nasab","doi":"10.1080/25726668.2021.2001255","DOIUrl":"https://doi.org/10.1080/25726668.2021.2001255","url":null,"abstract":"ABSTRACT Predicting the fleet requirement based on fleet productivity estimation is one of the critical parts of a robust long-term mine plan. The dispatch logic that determines the return destination of the empty trucks is significantly important in the overall full and empty travel distances and trucks’ productivity. In this paper, a Monte-Carlo simulation model is presented to mimic the real truck-and-shovel operations and measure trucks’ productivity in terms of Tonne Per Gross Operating Hour (TPGOH). A linear programming model is integrated into the simulation model to optimize the dispatch decision through distance minimization subject to the mine’s production schedule. The historical data records of oil sands mining operations are used to validate model’s performance. The results show significant improvement over the existing mine site’s method with closely matching the real TPGOH and better estimation of the total empty travel distance, as a result of new dispatch model implementation.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"19 1","pages":"67 - 79"},"PeriodicalIF":1.1,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87369380","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":"Fuzzy FMEA for the safety risk analysis of underground coal mining (a case study in Iran)","authors":"M. J. Rahimdel, A. Aryafar, Solmaz Vaziri","doi":"10.1080/25726668.2022.2051273","DOIUrl":"https://doi.org/10.1080/25726668.2022.2051273","url":null,"abstract":"ABSTRACT Hazards in underground coal mines create an unsafe working environment for workers and equipment. This paper aims to analyze the safety risk in underground coal mining using an improved Failure Mode and Effect Analysis (FMEA) method. To achieve this, the causes of the main events that threaten the safety of the working environment were identified and discussed in a case study; Parvadeh Tabas coal mine, Iran. The Analytical Hierarchy Process (AHP) was applied to calculate the importance degree of each hazard. Then, the FMEA approach under the fuzzy environment was used for the safety risk analysis. Regarding the results of this study, the outburst-related hazards, failure to provide sufficient compressed air, and the electrical locomotive-related hazards have the highest level of safety risk. In this concept, it is possible to identify the leading causes of accidents and propose practical solutions to improve the safety conditions of the mine working places.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"35 1","pages":"104 - 114"},"PeriodicalIF":1.1,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85805037","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}
Amir Nematollahi Sarvestani, P. Oreste, Sandro Gennaro
{"title":"Improving environmental conditions of a Room and Pillar underground quarry using numerical modelling of the ventilation system","authors":"Amir Nematollahi Sarvestani, P. Oreste, Sandro Gennaro","doi":"10.1080/25726668.2021.2007335","DOIUrl":"https://doi.org/10.1080/25726668.2021.2007335","url":null,"abstract":"ABSTRACT Natural ventilation can play a significant role, which requires careful evaluation. It is necessary to adopt numerical calculation methods to study the ventilation circuit. This paper illustrates a numerical study of an underground gypsum quarry in Italy using the Ventsim computer program. Through this study, it was possible to determine the improvement interventions necessary to optimize the airflow that reaches the active sites of the mine, avoiding the risk of air recirculation in the deepest zones. A detailed analysis made it possible to detect how the planned interventions were also able to significantly improve the environmental conditions, considerably lowering the concentration of harmful gases emitted by diesel engines.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"1 1","pages":"80 - 89"},"PeriodicalIF":1.1,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83153488","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}
Stephen P. Magohe, Nice Shoo, Emilia Mapogha, C. Kinabo, Conrad Chambulikazi
{"title":"Monitoring rock movement and—controlling ore loss and dilution associated with blasting at Geita and North Mara Gold mines, Tanzania","authors":"Stephen P. Magohe, Nice Shoo, Emilia Mapogha, C. Kinabo, Conrad Chambulikazi","doi":"10.1080/25726668.2022.2046684","DOIUrl":"https://doi.org/10.1080/25726668.2022.2046684","url":null,"abstract":"ABSTRACT\u0000 We present findings from a blast movement monitoring research conducted as a part of mine to mill campaign at the Geita Gold Mine—and additional data from blast monitoring practices at North Mara Gold Mine. These include measurement of the blast-induced rock movement and perimeter translation after blast derived from a blast shot at Nyankanga pit (Geita Gold Mine) and three other shots at the Nyabirama pit (North Mara Gold Mine). Using Blast Movement Technology, 34 movement-monitoring balls installed in 13 blast-monitoring boreholes made possible estimation of the average vertical and horizontal ore movements in the studied blast shots. Recorded ore movement estimates average horizontal and vertical movements of 3.69 and 1.56 m, respectively, at the Nyabirama pit and average horizontal and vertical movements of 4.5 and 2.48 m, respectively, at the Nyankanga pit. Based on the estimated material movements, zones of ore losses and dilution are established and new dig lines are proposed from successful ore block translation in all blast shots.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"49 1","pages":"90 - 103"},"PeriodicalIF":1.1,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79122235","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}
Cui Tao, Xie Jiacheng, Xuewen Wang, Zhang Xin, Li Suhua, Dong Mengyao
{"title":"Constructing a high-precision virtual scene of mining equipment and coal seam roof and floor using actual mining data","authors":"Cui Tao, Xie Jiacheng, Xuewen Wang, Zhang Xin, Li Suhua, Dong Mengyao","doi":"10.1080/25726668.2021.1974216","DOIUrl":"https://doi.org/10.1080/25726668.2021.1974216","url":null,"abstract":"ABSTRACT This paper proposes a method of constructing a high-precision virtual scene of mining equipment, coal seam roof and floor using actual mining data to meet the industry’s visualisation demands. By analysing the relationships between the shearer, scraper conveyor and coal seam, four kinds of coal seam floor construction methods are established on the basis of the shearer’s running track, the cutting track, the running track of the supporting slipper and the shape of scraper conveyor. The virtual operation scene of the mining and transportation equipment is built in Unity3D to achieve a collaborative operation in a complex coal seam environment. By comparing the actual pitch angle with the virtual pitch angle of the shearer, it is found that the running track of the supporting slipper can better reflect the change trend of the coal seam floor. This method improves the accuracy of the virtual simulation of mining and transportation equipment and provides technical support for its virtual monitoring.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"73 1","pages":"12 - 24"},"PeriodicalIF":1.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86271881","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":"Rib scaling and the stability of coal pillars","authors":"R. Seedsman","doi":"10.1080/25726668.2021.1986968","DOIUrl":"https://doi.org/10.1080/25726668.2021.1986968","url":null,"abstract":"ABSTRACT The prediction of the depth of fracturing in the sides of underground excavations in coal seams is needed to determine the requirements for rib support and to assess pillar stability. The prediction requires consideration of how coal strength is determined and extrapolated to the mine scale and how stresses are redistributed around excavations in bedded coal masses. The impact of bedding in a stress analysis can be examined by adopting transverse isotropy and this results in much lower confining stresses in the horizontal plane and much higher vertical stresses close to the excavation boundary. The extent of rib scaling can be derived if the bedded coal is modelled as a brittle material. For coal pillars, the depth of scaling may be sufficient to have a material impact on their effective width and hence stability. The specification of rib support needs to consider how the failed coal may subsequently collapse.","PeriodicalId":44166,"journal":{"name":"Mining Technology-Transactions of the Institutions of Mining and Metallurgy","volume":"141 1","pages":"38 - 50"},"PeriodicalIF":1.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77483918","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}