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The Effects of Rock Mass Properties on Explosive Energy in Rock Blasting
By Yashar Pourrahimian, Magreth S. Dotto
Fragmentation by blasting is a critical process in hard rock mining. The blasting process and outcomes are highly influenced by rock mass properties and their response to higher stresses and loading r
Jun 25, 2023
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Machine-Learning Model for Predicting Shock Loss due to Buntons in a Shaft
By A. Adhikari, P. Tukkaraja, S. Jayaraman Sridharan
Shafts are critical components of the mine ventilation systems and contribute significantly to the mine ventilation pressure. Estimation of shaft pressure losses is an important aspect of mine ventila
Jun 25, 2023
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A Two-Step Model to Optimize the seMI-Mobile In-Pit Crusher Locations and the Mine Schedule
By Alireza Kamrani, Yashar Pourrahimian, Hooman Askari-Nasab
In-pit crushing and conveying (IPCC) is an option to decrease the enormous operating costs that a truck shovel can introduce in an open-pit mine. Finding the best locations for the IPCC over the mine
Jun 25, 2023
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Discrete-Event Simulation for Predicting Equipment Fleet Failure Behavior
By Javad Sattarvand, Amin Moniri-Morad
Predicting equipment failure behavior plays a critical role in providing a safe operation. Although various reliability evaluation methods are available for estimating failure behavior profiles, these
Jun 25, 2023
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Using a Dual Interchange Algorithm to Evaluate the Effect of Stope Size on Economic Value in Planning an Underground Sublevel Open-Stoping Layout
By Cuthbert Musingwini, Adeodatus S. Nhleko, Mahlomola I. Mabala
Optimization of a three-dimensional (3D) underground stope layout is complex given the number of variables and constraints to consider, such as the stope size. Determination of the appropriate stope s
Jun 25, 2023
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Evaluation of Models for Interaction Probability in Autonomous Monitor and Control Environments
By Robert Bissonette, Samir Sbai
A critical component of implementing autonomous systems is the ability to use information from a robust sensory and information system to make sound, predictable, and repeatable decisions to assure sa
Jun 25, 2023
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Evaluation of Heterogeneous Real Estate Portfolios in Portfolio Theory and the Potential for the Valuation of Diversified Mining Portfolios
By Jan Luca Grunow, Ansgar Bendiek, Klaus Böde
According to the Markowitz portfolio theory the value of a diversified portfolio is higher than the sum of the parts of a portfolio, which is an important consideration for the correct valuation. This
Jun 25, 2023
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A Model for Minimizing Water Losses due to Evaporation in Copper Tailings
By Enrique Jelvez, Nelson Morales Varela, Christian Ihle, Joaquin Silva
All mineral beneficiation processes require water for its execution. Therefore, the availability and adequate management of water are key to the existence of any mine operation. However, many mines’ o
Jun 25, 2023
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Developing a Smart Evacuation System for Underground Mines Considering Human Factors
By J. Sattarvand, P. C. Augustine
Despite significant safety improvements, the mining industry remains one of the most hazardous occupations globally and the evacuation of Miners, when an uncontrollable incident occurs in the mine, is
Jun 25, 2023
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Developing a Production Scheduling Model for Large Area Mines
By Amy McBrayer, Andrea Brickey
Limited research has been conducted related to the development of mathematical optimization models for production scheduling at large surface coal mines using the area, i.e., strip, mining method. Inc
Jun 25, 2023
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The Influence of Working Parameters on Ball Mill Performance and Charge Behavior
By Błażej Doroszuk, Robert Król
Mill drums are essential equipment in various industries for the comminution of materials. To optimize their design and operation for efficient and cost-effective processing, it is necessary to unders
Jun 25, 2023
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A Novel SIP Formulation for Long-Term Production Scheduling Optimization Problem in Open-Pit Mines under Uncertainty
By Ehsan Moosavi, Kamyar Tolouei
In open-pit mines, the long-term production scheduling optimization problem (LTPSOP) is a complicated problem that contains constraints, large datasets and uncertainties. Due to its dimensions and NP-
Jun 25, 2023
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Truck Fleet Dispatching Control in Open-Pit Mining Based on Reinforcement Learning and Discrete Event Simulation
By Yashar Pourrahimian, Roberto Noriega
Truck fleet dispatching plays a crucial role in reducing operational costs and fulfilling operational targets in open-pit mining operations and is subject to large uncertainty arising from the operati
Jun 25, 2023
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An ad hoc solution to the transition mine problem
By W Medina, G Angulo, A Anani
A current challenge faced by the mining industry is solving the integrated transition mine problem (TMP) that maximizes the net present value (NPV). This study aims to develop an optimization framewor
Jun 25, 2023
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Leveraging Air Quality Sensing for Carbon Monoxide Transport Modeling in Underground Coal Mines
By Kate Willa Brown Requist, Eric Lutz, Moe Momayez
As air quality sensor networks become increasingly popular in underground coal mines, it is important to generate paradigms for the application of the collected data. To date, air quality sensing has
Jun 25, 2023
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Natural Language Processing for Classification of Narratives from MSHA Data
By M. Shahsavar, J. Sattarvand, J. Gomez
Mining can be categorized as a hazardous activity, considering some factors such as environmental conditions with a considerable presence of humidity, suspended particles, or falling rocks have affect
Jun 25, 2023
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Optimum Open-Pit Mine Scheduling Considering Multivariate Grade Uncertainty Using Deep Q-Learning
By Sebastian Avalos, Julian M. Ortiz
The long-term mine scheduling is the optimal decision on how to extract and process the mining reserves. The resulting plan is mainly driven by economic, metallurgical, and geological factors. Account
Jun 25, 2023
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Comparative Data Analysis Using a Machine Learning Based Approach for Estimation of Particulate Matter Concentration in the Mines and the Vicinities
By Milka Madahana, John Ekoru
Particulate matter is one of the leading pollutants in the mines and in the communities in the areas near or surrounding the mines. The availability of large Clinical and environmental data sets obtai
Jun 25, 2023
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Application of Multiple-Point Statistics (MPS) for Stochastic Gold Grade Estimation in Areas with Sparsely Spaced Drillhole Data
By Richard Minnitt, Philippe Renard, Christina Dohm, Winfred Assibey-Bonsu, Matthew Aboagye, Julien Straubhaar, Mahlomola I. Mabala
The application of multiple point statistics (MPS) in oil studies has gained traction over the years; however, the use of MPS in mineral resource estimation and classification is still limited. This i
Jun 25, 2023
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Usability of Collaborative “VR Mine Rescue Training” Platform
By Brendan Demich, Linda L. Chasko, Brendan Macdonald, Timothy J. Orr, Jessie J. Mechling, Cassandra Hoebbel, Jason Navoyski, William Helfrich, Jessica Cohen, Paul E. Schmidt, Jennica L. Bellanca
The National Institute for Occupational Safety and Health (NIOSH) in partnership with the Mine Safety and Health Administration (MSHA) developed VR Mine Rescue Training (VR-MRT). It is a training plat
Jun 25, 2023