Mining goes Digital Proceedings of the 39th International Symposium 'Application of Computers and Operations Research in the Mineral Industry' (APCOM 2019), June 4-6, 2019, Wroclaw, Poland
The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remain...
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| Format: | eBook |
| Language: | English |
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CRC Press
2019
No Funder Information Available Taylor & Francis |
| Edition: | 1st |
| Series: | Proceedings in earth and geosciences series |
| Subjects: | |
| ISBN: | 1000398226, 9781000398229, 9780367336042, 0367336049, 1032917601, 9781032917603, 1000418642, 9781000439069, 9781000418644, 0429320779, 1000439062, 9780429320774 |
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| Abstract | The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas. |
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| AbstractList | The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM.
While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in:
- Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining
Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.
General aspects of digital transformation in mining
The so-called “Green Paradox” A.B. Bendiek & M.P. Bendiek
Digital technology trends and their implementation in the mining industry L. Barnewold
Virtual reality mine: A vision for digitalised mining engineering education R. Suppes, Y. Feldmann, A. Abdelrazeq & L. Daling
Investing in engineering, research and education in Africa to derive a roadmap for ensuring local digital mining success W. Assibey-Bonsu
The application of correlation models for the analysis of market risk factors in KGHM capital group Ł. Bielak, P. Miśta, A. Michalak & A. Wyłomańska
Improvement of investment processes in mining company by implementation of project management system M. Wach & I. Chomiak-Orsa
Resource estimation and geostatistics
An approach for drilling pattern simulation G. Usero, S. Misk & A. Saldanha
Application of Locally Varying Anisotropy (LVA) kriging at the Grasberg porphyry Cu-Au-Ag deposit, Papua, Indonesia A. Issel, A. Schwarz, K. Moss & R. Rossi†
Multivariate geostatistical simulation using principal component analysis M. Bolgkoranou & J.M. Ortiz
Application of ASTER multispectral data and hyperspectral spectroscopy for phosphate exploration N. Mezned, A. Fatnassi & S. Abdeljaouad
Multivariate Gaussian process for distinguishing geological units using measure while drilling data K.L. Silversides & A. Melkumyan
Machine learning classification of geochemical and geophysical data L. Huang, M. Balamurali & K.L. Silversides
Covariance table and PPMT: Spatial continuity mapping of multiple variables J. Kloeckner, C.Z. da Silva & J.F.C.L. Costa
Optimal drill hole spacing for resource classification M. Nowak & O. Leuangthong
Geostatistical simulation with heterotopic soft data without the LMC C.P. Araújo, M.A.A. Bassani & J.F.C.L. Costa
Application of localized multivariate uniform conditioning and conditional simulation for a stockwork niobium deposit L. Bertossi, D. Raposo, J. Watanabe, S. Silva & G. Usero
MILP framework for open pit and underground mining transitions evaluation B.O. Afum & E. Ben-Awuah
Multi-collocated cokriging: An application to grade estimation in the mining industry N. Madani
Recursive convolutional neural networks in a multiple-point statistics framework S. Avalos & J.M. Ortiz
Grade estimation in a tabular deposit using unstructured grids M.A.A. Bassani, C.P. Araújo & J.F.C.L. Costa
Influence of drilling spacing on the mineral resources uncertainty C.J.E. Silva, M.A.A. Bassani & J.F.C.L. Costa
Evolving estimation techniques for an evolving world class stratiform copper deposit at Kamoa-Kakula, Democratic Republic of the Congo G. Gilchrist
Critical review of mineral resource classification techniques in the gold mining industry S.K.A. Owusu & K. Dagdelen
Transforming exploration data through machine learning I.W.S. Whitehouse & W. Slabik
Rock mass characterization using MWD data and photogrammetry S. Manzoor, S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Ore grade prediction using informative features of MWD data S. Liaghat, A. Gustafson, D. Johansson & H. Schunnesson
Recoverable resource estimation mixing different quality of data C.R.O. Mariz, A. Prior & J. Benndorf
Declustering weights as a measure of average sample spacing, applications in mineral resource classification D.E. Hulse & R.C. Bryan
Mine planning in digital transformation
Multi stage dumping sequence—a new approach for waste disposal B.T. Kuckartz & R.L. Peroni
Parametric analysis of the optimal depth of an open-pit gold mine R. Motta, C. Porto, D. Machado & O.C. Souto
A procedure to generate optimized ramp designs using mathematical programming N. Espejo, P. Nancel-Penard & N. Morales
Break line and shotpile surfaces modeling in design of large-scale blasts S.V. Lukichev, O.V. Nagovitsyn & A.S. Shishkin
Incorporation of mineralisation risk into underground mine planning R.C. Rosado, J.F.C.L. Costa & A.A. Saldanha
Economic optimization of rib pillars placement in underground mines A.B. Andrade, A.R.C. Faria & P.C.B. Rampazzo
Performance assessment of antithetic random fields in a stochastic mine planning model G. Nelis, N. Morales & J.M. Ortiz
A data science model on production level pillar stability at El Teniente mine R.J. Quevedo, R.F. Quezada, R.A. Zepeda, S.A. Balboa, J.P. Vargas & S.A. Pérez
Incorporating grade uncertainty into sublevel stope sequencing Y.A. Sari & M. Kumral
A spatial clustering algorithm for orebody classification and boundary setting S. Li, Y.A. Sari & M. Kumral
Underground mine planning optimization process to improve values and reduce risks H.H. Wang
Application of a digital model of deposit in Polish hard coal mines on the example of Polish Mining Group Ltd. V. Sokoła-Szewioła & M. Poniewiera
Scheduling and dispatch
Improvements in plan-driven truck dispatching systems for surface mining M. Samavati, A.W. Palmer, A.J. Hill & K.M. Seiler
Short-term production scheduling of multiple mines using genetic algorithms P. Pathak & B. Samanta
A two-stage solution approach for a shift scheduling problem with a simultaneous assignment of machines and workers C. Seifi, M. Schulze & J. Zimmermann
Understanding plan’s priorities: Short term scheduling optimization A.B. Andrade & P.C.B. Rampazzo
Simulation and optimization framework for evaluating the mining operations A. Moradi Afrapoli & H. Askari-Nasab
Framework of optimal operational indices for the open pit mines production scheduling problems M.R. Moghaddam & E. Moosavi
Mine schedule optimization and mine operational realities: Bridging the gap A. Chowdu, M. Goycoolea & A. Brickey
Optimization model for rostering and crew assignment for train transportation J. Amaya, E. Molina, N. Morales & P. Uribe
Generating pushbacks using direct block mine production scheduling algorithm C. Aras, K. Dagdelen & T. Johnson
Industrial internet of things and gamification applied to fleet and personnel management S. Dessureault
Short-term open-pit mine production scheduling with hierarchical objectives F. Manríquez, H. González & N. Morales
Mine operation and equipment
A deep learning approach for automated quality control of iron ores A.K. Gorai, B.C. Balusa & U. Sameer
Comparison between regression models and neural networks applied to forecast geometallurgical variables F.G.F. Niquini & J.F.C.L. Costa
The simulation of the excavation sites of coal mines K.N. Kopylov, S.S. Kubrin & D.I. Blokhin
An operational data based framework for longwall shearer performance measurement E. Yilmaz & M. Erkayaoglu
The digital mine eco-system W.A.S. Fourie
Application of DEM-FEM methods in tests of loads on idlers B. Doroszuk, R. Król & L. Gładysiewicz
Comprehensive, experimental verification of the effects of the lock-up function implementation in LHD haul trucks in the deep underground mine T. Kaniewski, P. Śliwiński, J. Hebda-Sobkowicz & R. Zimroz
Analysis of dynamic external loads to haul truck machine subsystems during operation in a deep underground mine P. Śliwiński, T. Kaniewski, J. Hebda-Sobkowicz, R. Zimroz & A. Wylomańska
Selection of variables acquired by the on-board monitoring system to determine operational cycles for haul truck vehicle P. Śliwiński, M. Andrzejewski, T. Kaniewski, J. Hebda-Sobkowicz & R. Zimroz
An integrated simulation model for opportunistic maintenance O. Golbasi, M. Olmez Turan & C. Karpuz
Approach of mining equipment performance with simulation of the use of autonomous trucks W.S. Felsch Jr., A.F. Oliveira & C.E.A. Ortiz
Modelling and forecasting geometallurgical recovery at a phosphate mine L.B. Andrade, I.E. Cabral & J.F.C.L. Costa
Artificial intelligence using real-time data L.-P. Campeau & M. Dubois
LTE, 4G & 5G – Broadband mobile communications in mining applications W. Santos
Development assumptions of a data and service management centre at KGHM S.A. P. Pyda, P. Stefaniak & H. Dudycz
Mineberry—remote monitoring of abandoned shaft openings B. vom Berg, F. Schmachtenberger, B. von Gruchalla, F. Wollnik, S. Klaß, A. Koschare, S. Schnell & J. Schliebs
Optimization of material logistics by using leading edge electronic Information and Communication Technologies (ICT) in underground coalmine M.T. Stöttner
Mine safety in digital transformation
Development of blast-induced ground vibration wireless monitoring system R. Prashanth & D.S. Nimaje
Increased safety in deep mining with IoT and autonomous robots F. Günther, H. Mischo, R. Lösch, S. Grehl & F. Güth
Coupled CFD-DEM modelling of mine dust dispersion in underground roadway L. Tan & T. Ren
Proximity detection of explosive methane clouds in longwall mines J.F. Brune, H.S. Düzgün, G.E. Bogin Jr., A. Juganda, C. Strebinger, T. Nguyen, E. Isleyen & C. Demirkanr
Evaluation of trackless mobile machine collision management systems H.A. Hamersma, P.S. Els & C.E. Doran
A sensitive carbon monoxide monitoring system for forecasting coal spontaneous combustion Z.W. Wang, Y.F. Li, T.T. Zhang, Y.B. Wei & T.Y. Liu
Application of laser me The conferences on 'Applications for Computers and Operations Research in the Minerals Industry' (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas. The conferences on 'Applications for Computers and Operations Research in the Minerals Industry' (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation- Mine Planning- Scheduling and Dispatch - Mine Safety and Mine Operation- Internet of Things, Robotics- Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas. The conferences on 'Applications for Computers and Operations Research in the Minerals Industry' (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in:- Geostatistics and Resource Estimation- Mine Planning- Scheduling and Dispatch - Mine Safety and Mine Operation- Internet of Things, Robotics- Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in MiningMining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas. |
| Author | Winfred Assibey-Bonsu Christoph Mueller Chris Doran Ernest Baafi Christoph Dauber Oleg Nagovitsyn Marek Jerzy Jaszczuk |
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| Snippet | The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics... The conferences on 'Applications for Computers and Operations Research in the Minerals Industry' (APCOM) initially focused on the optimization of geostatistics... |
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| SubjectTerms | Agribusiness and primary industries CivilEngineeringnetBASE digital transformation Economics, Finance, Business and Management emerging technology and robotics in mining ENGnetBASE Estimate Mineral Resources geostatistics and resource estimation Industry and industrial studies Internet of Things Long Term Production Scheduling mine operation in digital transformation mine planning Mine Production Scheduling Mineral industries mineral industry Mining & related operations Mining Engineering Mining, Mineral & Petroleum Engineering Nonfiction Open Pit Mine Planning Optimal Mine Plan Production Scheduling robotics scheduling and dispatch Short Term Production Scheduling Short Term Scheduling Problem Technology Technology, Engineering, Agriculture, Industrial processes Ultimate Pit Limit Underground Mine Planning |
| SubjectTermsDisplay | Electronic books. Nonfiction. Technology. |
| Subtitle | Proceedings of the 39th International Symposium 'Application of Computers and Operations Research in the Mineral Industry' (APCOM 2019), June 4-6, 2019, Wroclaw, Poland |
| Title | Mining goes Digital |
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