Kooperativer Bibliotheksverbund

UID:

Umfang: 1 online resource (xx, 759 pages) : , digital, PDF file(s).

ISBN: 1-000-43906-2 , 0-429-32077-9

Serie: Proceedings in Earth and geosciences series ; 3

Inhalt: 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.

Anmerkung: "A Balkema book." , 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. K , Also available in print form. , English

Weitere Ausg.: Print version: ISBN 9780367336042

Sprache: Englisch

DOI: 10.1201/9780429320774

URL: kostenfrei

UID:

Umfang: 1 Online-Ressource (780 p.)

ISBN: 9780429320774

Serie: Proceedings in Earth and geosciences

Inhalt: The abbreviation “APCOM” stands for “Applications for Computers and Operations Research in the Minerals Industry”. When the conference started in 1964, it was an informal meeting of scientists from different universities in the USA together with the “Society of Mining Engineers” (SME) of the United States. During the years the APCOM conference was performed in a mostly bi-annual rhythm. Up to today APCOM maintained its original logo formed around a punch card clearly remembering the historic origin of the conference from the times prior to the revolution caused by the era of semiconductors. In the beginning, APCOM focused on the optimization of geostatistics and resource estimation and a number of methods used in these fields were initially presented and discussed on APCOM conferences. This field still today is an important part of any APCOM. During the years, information technology has dramatically developed, new algorithmic methods evolved and the entire fields of electronic communication, machine automation, autonomous machines and process optimization developed. Consequently, today, APCOM is much more than a meeting of specialists in geostatistics and resource estimation: The APCOM has expanded to a conference covering all kinds of Information and Communication Technology in the mineral industry: Already in 2005 on the conference in Tuscon/AZ, the term “Mining Process Optimization” was presented as the next paradigm shift in mining after mechanization and automation, which marked another example of the continued innovative impact of the APCOM. Well ahead of the current discussions about “Digital Transformation”

Anmerkung: English

Sprache: Englisch

URL: kostenfrei

UID:

Umfang: 1 Online-Ressource

ISBN: 9780429320774

Serie: Proceedings in earth and geosciences series volume 3

Weitere Ausg.: Erscheint auch als Druck-Ausgabe, hardback ISBN 978-0-367-33604-2

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Konferenzschrift

URL: Volltext  (kostenfrei)

UID:

Umfang: xx, 759 Seiten : , Illustrationen, Diagramme.

ISBN: 978-0-367-33604-2

Serie: Proceedings in earth and geosciences series Volume 3

Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-0-429-32077-4

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Konferenzschrift

UID:

Umfang: 1 online resource.

ISBN: 9780429320774 , 0429320779 , 0367336049 , 9780367336042

Serie: Proceedings in earth and geosciences series, volume 3

Inhalt: The abbreviation "APCOM" stands for "Applications for Computers and Operations Research in the Minerals Industry". When the conference started in 1964, it was an informal meeting of scientists from different universities in the USA together with the "Society of Mining Engineers" (SME) of the United States. During the years the APCOM conference was performed in a mostly bi-annual rhythm. Up to today APCOM maintained its original logo formed around a punch card clearly remembering the historic origin of the conference from the times prior to the revolution caused by the era of semiconductors. In the beginning, APCOM focused on the optimization of geostatistics and resource estimation and a number of methods used in these fields were initially presented and discussed on APCOM conferences. This field still today is an important part of any APCOM. During the years, information technology has dramatically developed, new algorithmic methods evolved and the entire fields of electronic communication, machine automation, autonomous machines and process optimization developed. Consequently, today, APCOM is much more than a meeting of specialists in geostatistics and resource estimation: The APCOM has expanded to a conference covering all kinds of Information and Communication Technology in the mineral industry: Already in 2005 on the conference in Tuscon/AZ, the term "Mining Process Optimization" was presented as the next paradigm shift in mining after mechanization and automation, which marked another example of the continued innovative impact of the APCOM. Well ahead of the current discussions about "Digital Transformation".

Anmerkung: "A Balkema book"-- title page. , English.

In: OAPEN (Open Access Publishing in European Networks)., OAPEN

Weitere Ausg.: Print version: Mining goes digital Boca Raton : CRC Press / Taylor & Francis Group, [2019] ISBN 9780367336042

Sprache: Englisch

DOI: 10.1201/9780429320774

URL: OAPEN

URL: Taylor & Francis

URL: OAPEN  (Access full text online)

URL: OAPEN  (Creative Commons License)

UID:

Umfang: 1 online resource (xx, 759 pages) : , digital, PDF file(s).

ISBN: 1-000-43906-2 , 0-429-32077-9

Serie: Proceedings in Earth and geosciences series ; 3

Inhalt: 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.

Anmerkung: "A Balkema book." , 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. K , Also available in print form. , English

Weitere Ausg.: Print version: ISBN 9780367336042

Sprache: Englisch

DOI: 10.1201/9780429320774

UID:

Umfang: 1 online resource (xx, 759 pages) : , digital, PDF file(s).

ISBN: 1-000-43906-2 , 0-429-32077-9

Serie: Proceedings in Earth and geosciences series ; 3

Inhalt: 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.

Anmerkung: "A Balkema book." , 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. K , Also available in print form. , English

Weitere Ausg.: Print version: ISBN 9780367336042

Sprache: Englisch

DOI: 10.1201/9780429320774