Victor Octavio Tenorio
- Professor of Practice
Victor Tenorio received a B.S. in Mining Engineering from Pontificia Universidad Católica del Perú, and a M.S. degree from University of Alaska Fairbanks. He obtained a Ph.D. at University of Arizona, in Tucson in 2012. His research focuses on Smart Mining and Decision Support Systems for optimizing productivity. He has worked on several engineering projects in Peru and Chile, and is currently a Professor of Practice at the University of Arizona, where he teaches Introduction to Mining Engineering, Underground/Surface Mine Design and Planning, Mine Examination and Valuation, and Equipment Operations Technology. He also participated in the Autonomous Mining Program with Freeport-McMoRan until December 2008. He has been Program Chair for the VII International Mining Industry Summit on Business Process Improvement in 2015. During 2016 and 2017 he was co-creator and leader of the Executive Mining Program, a full-year certification combining online lectures, live discussions and field trips for non-mining professionals.
- Ph.D. Mining Engineering
- University of Arizona, Tucson, Arizona, USA
- Measurement of the Effectiveness of a Decision Support System for Blending Control of Large Scale Coal Mines
- M.S. Mining Engineering
- University of Alaska Fairbanks, Fairbanks, Alaska, USA
- Resource estimation for offshore deposits using Conditional Simulation and Statistical Learning Theory
- Engineering Degree Mining Engineering
- Pontificia Universidad Catolica del Peru, Lima, Peru
- Design of an Open Pit Mine using Computerized Modeling Techniques
- B.S. Mining Engineering
- Pontificia Universidad Catolica del Peru, Lima, Peru
- Diseño de una Mina a Cielo Abierto Utilizando Métodos de Modelamiento Computarizado - Design of an Open Pit Mine using Computerized Modeling Techniques
- Professor of Practice, University of Arizona, Tucson, Arizona (2012 - Ongoing)
- Post-Doctoral Research Associate, University of Arizona, Tucson, Arizona (2012)
- Graduate Research Assistant, University of Arizona, Tucson, Arizona (2009 - 2012)
- Head of Rock Mechanics Laboratory, Pontificia Universidad Catolica del Peru (2009)
- Associate Senior Consultant, MIC S.A.C. (2009)
- Teaching Assistant, University of Arizona, Tucson, Arizona (2009)
- Mining Engineer II, Freeport-McMoRan Copper & Gold, Inc. (2008)
- Engineering Intern, Freeport-McMoRan Copper & Gold, Inc. (2007 - 2008)
- Graduate Research Assistant, University of Arizona, Tucson, Arizona (2006 - 2007)
- Graduate Research Assistant, University of Alaska Fairbanks (2004 - 2006)
- Associate Senior Consultant, Ingenieria de Recursos S.R.L. (2004)
- Clerical & Database Administrator, Bechtel Chile Ltda. (2003 - 2004)
- Project Coordinator - La Virgen Engineering Project, T-Matrix S.A.C. (2003)
- Database Administrator, Consorcio Bechtel Sigdo-Koppers (BSK) (2002)
- Project Coordinator - Atacocha Mine Project, T-Matrix S.A.C. (2001 - 2002)
- Primavera Specialist, HV S.A. Contratistas (2001)
- Information Systems & Technology Applications Support Engineer, Bechtel Overseas Corporation - Antamina Project (1999 - 2001)
- Corporate Services Manager, Instituto Superior Tecnologico Abaco (1998 - 1999)
- Engineering Solutions Representative, Cosapi Data S.A. (1990 - 1998)
- Head of Mine IT Department, Compañía Minera San Ignacio de Morococha S.A. (SIMSA) (1988 - 1990)
- Assistant Head of Mine IT Department, Compañía Minera San Ignacio de Morococha S.A. (SIMSA) (1987 - 1988)
- James F. Bly Outstanding Faculty Award
- Mining and Geological Engineering Department, Fall 2016
- Award for Excellence at the Student Interface - Junior Faculty
- College of Engineering, Spring 2015
- Award for Excellence at the Student Interface
- College of Engineering, Spring 2014
- Outstanding Graduate Student in Mining and Geological Engineering
- College of Engineering, Spring 2010
Licensure & Certification
- Ingeniero de Minas, Colegio de Ingenieros del Peru (1995)
Decision Support Systems, Control Rooms, Process Optimization, New Technologies, Mine Modeling Software, Systems Integration, IoT, Data Analysis, Business Process Improvement, Simulation, Automation, Autonomous Equipment
Underground Mine Design and Planning, Surface Mine Design and Planning, Mine Examination & Valuation, Simulation. Smart Mining, Space Mining.
Intro to Mining EngineeringMNE 205 (Spring 2019)
Mine Planning SoftwareMNE 419 (Spring 2019)
Mine Planning SoftwareMNE 519 (Spring 2019)
Surface Mine Planning & DesignMNE 436 (Spring 2019)
Surface Mine Planning & DesignMNE 536 (Spring 2019)
Underground Mine DesignMNE 438 (Spring 2019)
Underground Mine DesignMNE 538 (Spring 2019)
Equipment Oper TechnMNE 407 (Fall 2018)
Equipment Oper TechnMNE 507 (Fall 2018)
Intro to Mining EngineeringMNE 205 (Fall 2018)
Mine Exam + ValuationMNE 430 (Fall 2018)
Mine Exam + ValuationMNE 530 (Fall 2018)
Directed Research/Mn EMNE 492 (Spring 2018)
DissertationMNE 920 (Spring 2018)
Honors ThesisMNE 498H (Spring 2018)
Mine Planning SoftwareMNE 419 (Spring 2018)
Mine Planning SoftwareMNE 519 (Spring 2018)
Surface Mine Planning & DesignMNE 436 (Spring 2018)
Surface Mine Planning & DesignMNE 536 (Spring 2018)
Underground Mine DesignMNE 438 (Spring 2018)
Underground Mine DesignMNE 538 (Spring 2018)
Equipment Oper TechnMNE 407 (Fall 2017)
Equipment Oper TechnMNE 507 (Fall 2017)
Intro to Mining EngineeringMNE 205 (Fall 2017)
Mine Exam + ValuationMNE 430 (Fall 2017)
Mine Exam + ValuationMNE 530 (Fall 2017)
Mining Capstone ProjectMNE 598 (Summer I 2017)
DissertationMNE 920 (Spring 2017)
Mine EconomicsMNE 560B (Spring 2017)
Mine Planning SoftwareMNE 419 (Spring 2017)
Mine Planning SoftwareMNE 519 (Spring 2017)
Ore Deposits & Mine OperationsMNE 560A (Spring 2017)
Surface Mine Planning & DesignMNE 436 (Spring 2017)
Surface Mine Planning & DesignMNE 536 (Spring 2017)
Underground Mine DesignMNE 438 (Spring 2017)
Underground Mine DesignMNE 538 (Spring 2017)
Directed Research/Mn EMNE 492 (Fall 2016)
DissertationMNE 920 (Fall 2016)
Equipment Oper TechnMNE 407 (Fall 2016)
Equipment Oper TechnMNE 507 (Fall 2016)
Independent StudyMNE 599 (Fall 2016)
Mine Exam + ValuationMNE 430 (Fall 2016)
Mine Exam + ValuationMNE 530 (Fall 2016)
Ore Deposits & Mine OperationsMNE 560A (Fall 2016)
- Diaz, N. B., Tenorio Gutierrez, V. O., Momayez, M., & Gravley, S. (2017). Diseño de una Estación de Refugio para Equipo Montado en Rieles – Design of a Refuge Chamber for Rail-Mounted Equipment. RUMBO MINERO, 182-185.
- Botin, J., Gatica, C., Poulton, M. M., & Tenorio Gutierrez, V. O. (2016). Profesionales Femeninas en la Minera Chilena - Female Professionals in Chilean Mining. TECNOLOGIA MINERA, 10(62), 76-80.More infoThe Chilean minerals industry faces a shortage of 27.000 new skilled professional by 2023. Enhancing the integration of women into the workforce is a possible solution. This study analyzes the state of women in the mining workforce over the past decade. Several key indicators are presented: percent in the workforce, salaries, career profiles, presence at management level, and participation in academia are studied. The study also analyzes the strategies used by government, industry, and universities to recruit and retain women for the minerals industy. The main results show that women represent 7.4% of the mining workforce in Chile and less than 1% of senior positions with a salary gap of approximately 30%. Systematically, women prefer professional programs in geology, chemistry, and environmental areas. The Chilean statistics are compared to data from the United States mining industry.
- Park, J., Kim, K., Compan, G., & Tenorio Gutierrez, V. O. (2016). Uso de la Tasa de Penetración durante la Perforación - Using Penetration Rate during Drilling. TECNOLOGIA MINERA, 10(57), 68-73.More infoThe integration and optimization of the different processes in a hard rock modern mine, including drilling, blasting, crushing, and milling, can assist in improving the degree of mineral liberation, obtaining at the same time relatively significant savings in energy costs. This process is known as Mine to Mill (MTM).The first stage of this optimization is blasting, in where micro fractures are induced in the rock, which will impact in subsequent downstream stages of mine production.
- Vasquez Coronado, P. P., & Tenorio Gutierrez, V. O. (2016). Developing a context-based alert system for haulage cycle optimization. Mining Engineering Magazine. Official publication of the Society for Mining Engineering and Exploration, Inc., 68(02), 17-25.More infoIn Open Pit mining, performance optimization of the loading cycle is a critical stage that needs to be controlled in detail. Production supervisors require detecting cycle times that are below performance standards. The present study proposes the design and implementation of a comprehensive alert system that can provide warning messages when any of the equipment units involved in production are idle or out of the desired operational limits.The parameters utilized for designing the system are based on pre-established Key Performance Indicators (KPIs) which set the baseline for taking further corrective actions. As a result of this design, the strategies for optimizing the haulage cycle model comprise a methodology which includes a built-in discrete-event simulator that helps production supervisors to analyze different scenarios for route design and queue analysis. Context-specific algorithms have been developed for identifying the least productive times of the fleet. These results are displayed every time a simulation routine is completed.The system is intended for implementation in subsequent stages of the production process, and the resulting improvement could impact mine planning and management as well. Actual topographic and drilling exploration data from an undisclosed mine were used to build a block model and to design an Open Pit; a simulation software was used to generate operating cycles that represent actual operations, referred as the “As-Is” model. After the Alert System is implemented, and adjustments were applied, a new simulation was performed taking into consideration these modifications. The resulting “To-Be” model is presented with a comparative analysis and statistical results.Key words: Haulage, KPI, Optimization, Productivity, Simulation
- Yung, N., Zhang, J., & Tenorio Gutierrez, V. O. (2016). El impacto del Acido Hidroxámico sobre el ángulo de contacto de la Calcopirita - Impact of Hidroxamic Acid on the Contact Angle of Chalcopyrite. TECNOLOGIA MINERA, 10(58), 88-90.More infoChalcopyrite, the more important copper ore, is usually grinded and separated from other minerals considered impurities, such as silicates and pyrite, through a flotation process, in where the copper-carrying minerals adhere to air bubbles and float to the surface, leaving the gangue at the bottom of the flotation cell, which is later disposed as tailings.The efficiency of the flotation process depends mainly from the degree of hydrophobicity presented by the mineral surface, being the highest the process efficiency as the mineral surface presents a greater degree of hydrophobicity, which means a better adherence to the air bubbles. In this context, using collectors is vital for achieving a good efficiency in the flotation process, as they help to make more hydrophobic the mineral surface.This article shows the study of the performance of two reagents derived from hidroxamic acid as chalcopyrite collectors, analyzing their effect over the contact angle with the surface of the mineral, which is directly related with the degree of hydrophobicity of the mineral surface.
- Sanzana, A. M., & Tenorio Gutierrez, V. O. (2015). Modelo de Costos para la Transición de Minas Superficiales a Subterráneas. TECNOLOGIA MINERA, 9(53), 80-83.More infoFirst article of collaboration work of the "Latin America-UA Winter Research 2015" program which allowed to bring students of different disciplines from Chile to the University of Arizona during dos months of the Boreal Winter 2015. Research works in Mining Engineering and Metallurgy were praised due to its highly technical level.
- Tenorio Gutierrez, V. O. (2015). Intercambio Estudiantil: De Peru a Arizona - Student Exchange: From Peru to Arizona. TECNOLOGIA MINERA, 9(50), 102-104.More infoExperiences of the first group of Peruvian students in Mining Engineering at the University of Arizona as part of the "100,000 Strong" program.
- Tenorio Gutierrez, V. O., & Vasquez, P. P. (2015). Intercambio Estudiantil: De Arizona al Peru - Student Exchange: From Arizona to Peru. TECNOLOGIA MINERA, 9(51), 86-88.More infoExperiences of the first group of mining students from University of Arizona at PUCP in Peru as part of the "100,000 Strong" program.
- Ardito, J. A., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2014). Inteligencia de Negocios Aplicada al Analisis de Utilizacion de Agua en el Peru y el Sector Minero (parte 1) - Business Intelligence Applied to the Analysis of Water Utilization in Peru and the Mining Sector (part 1). TECNOLOGIA MINERA, 8(43), 42-44.More infoHow Business Analysis tools can help interpreting public domain data sources, protracting them along with weather, population, and market demands.
- Ardito, J. A., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2014). Inteligencia de Negocios Aplicada al Analisis de Utilizacion de Agua en el Peru y el Sector Minero (parte 2) - Business Intelligence Applied to the Analysis of Water Utilization in Peru and the Mining Sector (part 2). TECNOLOGIA MINERA, 8(44), 46-49.More infoA topic of high public interest is the association of the utilization of water and mining projects. even though water consumption by mining operations and mineral processing is significantly less than other human activities, there is a totally different perception. Only the detailed analysis of the actual utilization of water and the sustainable actions taken in recent projects will help to clarify the discrepancies.
- Vasquez Coronado, P. P., & Tenorio Gutierrez, V. O. (2014). Analisis de Sensibilidad para Determinar el Numero Optimo de Camiones - Sensitivity Analysis to Determine the Optimum Number of Trucks. TECNOLOGIA MINERA, 8(48), 98-102.More infoThe existing simulation programs for studying mining operations facilitate the design of production scenarios at different levels of detail, as required for the assessment of equipment performance. The practical example presented is based on the idealized model of an Open Pit mine, with operation parameters being adjusted after a comparative analysis against predefined Key Performance Indicators set for two particular operation conditions along the life of the mine: Initial Stage and Peak Production. Corrective actions are then applied on the model through a Discrete Event simulator. The objective is to define a methodology that allows production operators to set the strategies for optimizing the haulage process using the minimum required number of truck while achieving or exceeding the production goals.
- Vasquez Coronado, P. P., & Tenorio Gutierrez, V. O. (2014). Desarrollo de un Sistema de Alerta para Detectar Condiciones Sub-estandar del Ciclo de Acarreo - Development of an Alert System for Detecting Sub-Standard Conditions of the Haulage Cycle. TECNOLOGIA MINERA, 8(49), 58-62.More infoThe concepts presented in the previous two articles (Ed. 47 and 48) comprise the baseline for the development of a methodology for the support of production in Open Pit mines utilizing discrete-event simulation models. With this article the Haulage Cycle Optimization trilogy is completed, describing the details of the design of the Alert System, and the parameters required for its performance and the validations of the obtained results.The methodology of the Alert System integrates procedures from Fleet Management Systems, Haulage Cycle definition, optimization calculations and adjustments according to the operation scenarios. The system allows to control the variability of performance indicators and helps to detect those parameters that are working out of the expected operating values. The first model, deployed in the initial phase of the production process, generates results that can be compared against predefined Key Performance Indicators (KPI) for each particular scenario under study, and which later will be adjusted for becoming the final optimized model.
- Vasquez Coronado, P. P., & Tenorio Gutierrez, V. O. (2014). Modelos de Optimizacion del Ciclo de Carguio-Transporte-Acarreo Utilizando un Simulador de Eventos Discretos - Optimization Models of the Load-Haulage-Dump cycle using a Discrete-Event Simulator. TECNOLOGIA MINERA, 8(47), 62-66.More infoMaterial haulage is one of the most critical and expensive stages in Open Pit mine production. A methodology focused on finding sub-par performances of truck-and-shovel combinations produces alert notices to the Production Supervisor enabling to apply adjustments in the process according to expected Key Performance Indicator values and measure the improvements achieved.
- Kahraman, M. M., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2013). Inversiones en la Industria Minera de Turquia (parte 1) - Investment in the Mining Industry of Turkey (part 1). TECNOLOGIA MINERA, 7(36), 80-81.More infoHow the investment programs for mining in Turkey can be a model to follow for future project in South America.
- Kahraman, M. M., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2013). Inversiones en la Industria Minera de Turquia (parte 2) - Investment in the Mining Industry of Turkey (part 2). TECNOLOGIA MINERA, 7(37), 100-102.More infoHow the "skills for dealing" are key for attracting investment for mining projects in emerging economies.
- Poulton, M. M., & Tenorio Gutierrez, V. O. (2013). De Nanoescala a Terabytes (parte 1) - From Nanoscale to Terabytes (part 1). TECNOLOGIA MINERA, 7(41 02), 134-136.More infoIntegrating interdisciplinary research in mining technology.
- Poulton, M. M., & Tenorio Gutierrez, V. O. (2013). De Nanoescala a Terabytes (parte 2) - From Nanoscale to Terabytes (part 2). TECNOLOGIA MINERA, 7(42), 62-64.More infoThe Lowell Institute of Mineral Resources (IMR) was created for covering the need for interdisciplinary research in mineral resources and to provide continuous education for professionals. Research projects range from fundamental geology to ethics and sustainable development.
- Tenorio Gutierrez, V. O. (2013). Lineas de Carrera en Ingenieria de Minas - Career Lines in Mining Engineering. TECNOLOGIA MINERA, 7(39), 52-54.More infoThe career of Mining Engineering, traditionally focused in ore extraction, has currently diverse specialties, ranging from production and mineral processing, to sustainable development. This opens a road of discovery of study alternatives, suited to the current market demands.
- Tenorio Gutierrez, V. O. (2013). Logrando Mejoras en Temas Energeticos y Minero-Metalurgicos - Achieving Improvement in Energy and Mining-Metallurgy. TECNOLOGIA MINERA, 7(40), 68-73.More infoHighlights of the 6th International Industry Summit on Business Process Performance.
- Dessureault, S. D., Kahraman, M. M., & Tenorio Gutierrez, V. O. (2012). Colaboración entre la Industria y la Investigacion - Collaboration between Industry and Research. TECNOLOGIA MINERA, 6(29).
- Dessureault, S. D., Kahraman, M. M., & Tenorio Gutierrez, V. O. (2012). Gerenciando Sistemas de Informacion en Operaciones Mineras - Managing Information Systems in Mine Operations. TECNOLOGIA MINERA, 6(31), 62-64.More infoThe fastness of current networking and connectivity technologies available and the instant demand of response from users is moving us to develop a solid database structure and have the proper analysis tools for better decision making. Managing Information Systems in mining operations is not far from these concepts and opens a broad spectrum of possibilities for data collection, building of information, acquisition of knowledge and create strategies for addressing the outcomes of such analysis for the benefit of productivity optimization and improvement of safety in the working environment.
- Dessureault, S. D., Kahraman, M. M., & Tenorio Gutierrez, V. O. (2012). Metodos Innovadores para Reduccion de Costos en Mina - Innovative Methods for Cost Reduction at the Mine Site. TECNOLOGIA MINERA.
- Dessureault, S. D., Rojas, R. M., & Tenorio Gutierrez, V. O. (2012). Implementación de una Sala de Control para Investigación de la Mejora de Productividad en Minas a Gran Escala - Deployment of a Control Room for Reseach in Productivity Optimization of Large-Scale Mines. TECNOLOGIA MINERA, 6(34).
- Dessureault, S. D., Tenorio Gutierrez, V. O., & Kahraman, M. M. (2012). Tecnologías de Punta en MINExpo 2012 - Leading Edge Technologies at MINExpo 2012. TECNOLOGIA MINERA, 6(35).
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2011). Modelos de Centros de Investigacion para Tecnologia Minera - Models for Research Centers for Mine Technology. TECNOLOGIA MINERA, 5(23).
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2011). Sistemas Ligeros de Manejo de Flotas (parte 1) - Light Fleet Management Systems (part 1). TECNOLOGIA MINERA, 5(24).
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2011). Sistemas Ligeros de Manejo de Flotas (parte 2) - Light Fleet Management Systems (part 2). TECNOLOGIA MINERA, 5(25).
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2011). Supervision of Multiple Vehicles in Autonomous Surface Mines through a Control Room. Mining Engineering Magazine. Official publication of the Society for Mining Engineering and Exploration, Inc., 63(11), 80-86.More infoThe implementation of autonomous technologies for production in surface mines demands changes in the existing monitoring and control systems. The present study deals with the concepts involved in the development of a decision support system (DSS) for the supervision of a combined fleet of manned and unmanned equipment operating in a surface mine. The project was carried out as part of an autonomous mining program that lasted from early 2006 until the end of 2008. The objective of the DSS was to achieve short-term planning goals while maintaining safe working conditions. Supervisory tasks become more complex when several autonomous vehicles operate simultaneously alongside manned equipment. The operation center where the DSS was installed allowed autonomous vehicle operations to be controlled while tracking technology reliability. Experiments performed on control display interfaces and interaction provided design parameters for more complex supervisory systems for autonomous mines.
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2010). Desarrollo de Estrategias de Educacion para un Mejor Uso de la Tecnologia Informatica en Mineria - Development of Education Strategies for a Better Utilization of Information Technology in Mining. TECNOLOGIA MINERA, 4(21), 54-55.More infoAfter having discussed about the importance of suitable Information Technology tools for analysis of operations data, it is also true that more trained people are required for taking advantage of the potential provided by these technologies. Some specialized subjects such as Cost Estimation or the utilization of Immersive Simulators are gradually introduced in universities. Data Mining techniques are becoming more necessary and these can be provided through an applied coursework.
- Gutierrez, E. A., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2009). "Aplicacion de Mineria de Datos en el Proceso de Perforacion a Lixiviacion" (Application of Data Mining in the Drill-to-Leach Process).. Revista Mineria. No. 376, Año LVI. Instituto de Ingenieros de Minas., Year LVI(376), 18-22.
- Gutierrez, E. A., Dessureault, S. D., & Tenorio Gutierrez, V. O. (2009). Aplicacion de Data Mining en el Proceso de Perforacion-a-Lixiviacion - Application of Data Mining through the Drill-to-Leach Process. Revista Mineria.
- Portugal, A., & Tenorio Gutierrez, V. O. (2002). Una Experiencia Practica de la Aplicacion del Downhole Explorer en la Mina Atacocha. Mundo Minero.More infoDownhole Explorer was utilized for managing the Exploration drillholes at the Atacocha Mine Project. Includes the analysis of "La Pradera" orebody definition project.
- Chavez, P., Frias, O. E., & Tenorio Gutierrez, V. O. (2001). Manteniendo Actualizado el Modelo Topográfico Subterraneo - Keeping Updated the Underground Topographic Model. El Ingeniero de Minas, 7(21).More infoKeeping Updated the Underground Topographic Model. Daily projects using Datamine and regular updates in the main model in Vulcan mine modeling software for the Atacocha Underground Zinc Mine - Pasco, Peru.
- Tenorio Gutierrez, V. O., & Bandopadhay, S. (2015, May). Resource Estimation of an Off-Shore Platinum Deposit Using Sequential Gaussian Simulation. In 37th International Symposium of Applications of Computers and Operations Research in the Mineral Industry - APCOM 2015, 37, 837-854.More infoOre grade estimation is one of the most challenging stages when mining off-shore deposits. Due to the unique nature of the formation of marine placer deposits, traditional geostatistical methods are limited in providing sound estimation results. A platinum deposit near Goodnews Bay, South-West of Alaska, was estimated utilizing a stochastic-based technique known as Sequential Gaussian Simulation, in order to represent values of variables that follow a normal distribution. Grades of samples were treated as continuous variables Data was previously transformed using a normal score transform. Results are presented and compared with a traditional estimation technique, the Inverse Distance Squared method. The area was divided in three clusters, based on the K-means method and geographical features. Also, Genetic Algorithm was used for appropriate data division. Both estimations produced similar results for various cut-off grades, being the highest tonnages of platinum between 200 and 400 mg/m3.
- Tenorio Gutierrez, V. O., Bandopadhay, S., Misra, D., Naidu, S., & Kelley, J. (2015, May). Development of a Methodology Combining Clustering and Conditional Simulation for the Definition of Underwater Sampling Models. In 37th International Symposium of Applications of Computers and Operations Research in the Mineral Industry - APCOM 2015, 37, 872-888.More infoUnderwater sampling provides a limited visualization of the distribution of platinum-rich minerals in marine placer deposits. By using clusters for partitioning sectors of the deposit, by grouping them by a common property, such as distance or other more elaborated algorithms, such as K-Means of Fuzzy Means clustering, it is possible to develop a methodology which provides adequate subdivisions of the deposit into more rational sub-sets. The application of Conditional Simulation for developing a spatial model that highlights the most relevant features of the deposit, assigns a more rational degree of confidence of the selected sets for resource estimation.
- Tenorio Gutierrez, V. O., Bandopadhay, S., Misra, D., Naidu, S., & Kelley, J. (2015, May). Support Vector Machines Applied for Resource Estimation of Underwater Glacier-type Platinum Deposits. In 37th International Symposium of Applications of Computers and Operations Research in the Mineral Industry - APCOM 2015, 37, 889-902.More infoThe utilization of traditional geostatistic estimation tools for underwater deposits poses the limitation of disproportionate area dispersion of samples and low grade values. The application of Support Vector Machines (SVM) as a non-linear inference approach makes possible to elaborate an estimation of mineral values with a reliable level of confidence, based on the input parameters. Results have been displayed and compared with Kriging and Inverse Distance Square estimations for comparison purposes. A platinum deposit near Goodnews Bay, South-West of Alaska, is used as a source model for applying the SVM method.
- Vasquez, P. P., & Tenorio Gutierrez, V. O. (2015, May). Optimization of Open Pit Haulage Cycle Using a KPI Controlling Alert System and a Discrete-Event Operations Simulator. In 37th International Symposium of Applications of Computers and Operations Research in the Mineral Industry - APCOM 2015, 37, 837-854.More infoThe loading cycle in an Open Pit mine is a critical stage in the production process that needs to be controlled in detail for performance optimization. A Comprehensive Alert System (CAS) was designed in order to notify supervisors of cycle times that are below the required performance standards. The system provides alert messages when one or several trucks are idle or the time of completing production tasks are offsetting from pre-established values. This alert is identified by the system and compared with context-specific Key Performance Indicators (KPIs) in order to identify the least productive times of the fleet. The goal is to develop a methodology to help the production supervisor defining the strategies and corrective actions required for the optimization of the haulage cycle model. A discrete-event simulator has been built in order to analyse different scenarios for route design and queue analysis. The results are displayed in a customized dashboard every time the simulation has finished a complete shift or full-day sessions.This paper focuses on the optimization of haulage using the Alert System. However, the system is intended for implementation in subsequent stages of the production process, and the resulting improvement could impact mine planning and management as well. A simplified model of a hypothetical Open Pit mine was used to run a discrete-event simulation in order to generate operating cycles that represent actual operations (As-Is model). After the Alert System was implemented, operational settings were adjusted over trucks, shovels, crushers and routes, and a new simulation was performed following the recommended changes (To-Be model). Comparative analysis of productivity and statistical results of two different production stages are presented.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2011, Sep). Assessment Model for Quantifiably Measuring the Impact of an Information-Based Decision Support System in a Coal Mine Integrated Remote Control Room. In 35th APCOM SYMPOSIUM / Wollongong, NSW, 24 - 30 September 2011.More infoThe largest surface coal mine in North America requires complex materials handling infrastructure to fulfill the highly variable quality specifications of its contracts. These diverse demands, reflected in the arrival of numerous customer trains every day, necessitate the integration of information in every stage of production. To meet this goal, quality measurement, train line-up and mine planning processes are being integrated into local and remote control rooms. The effectiveness of such a system can only be measured by comparing decisions that are made with, and without, each of the individual integrated control systems. Traditionally, mine controllers use their experience, intuition or a variety of trial-and-error spreadsheets to determine the ideal materials handling flows needed to achieve the correct quality. These balanced decisions are complex since many factors must be considered such as the mine plan, fleet costs, quality variability and others; consequently mine controllers usually have widely varying success between crews.An evaluation model was developed to assess the impact of a decision support system (DSS) integrated in a control room for controlling the coal blending process. To this end, an ARENA-based simulator representing the whole production process can be used to pull performance and current materials handling settings directly either from the real-time systems in the mine, or from historical data. In this way, the same shift (breakdowns, cycle rates, etc) can be simulated and performance compared. Different settings of the DSS, in terms of what information is displayed and the methods for doing so, can be tested for effectiveness. The historical data are extracted directly from a corporate data warehouse, without altering the everyday working databases. At the same time, the simulator writes its results back into the same data warehouse structure, allowing the same KPI reports to be used to measure simulated shifts.
- Machuca-Mory, D. F., Tenorio Gutierrez, V. O., & Bandopadhyay, S. (2006, September). Assessment of the geostatistical uncertainty of the resources in a zinc skarn ore body. In VI International Symposium of Information Technology Applied to Mining, INFOMINA 2006.
- Tenorio Gutierrez, V. O., & Bandopadhyay, S. (2005, Oct). Controlling Efficiency and Production Goals in an Underground Mine. In MPES 2005 AND CAMI 2005, 1233-1248.
- Tenorio Gutierrez, V. O., & Palomino, O. L. (2019, Spring). Stepping Stones for Implementing Data-Intensive Analysis in Modern Mining. 2019 SME Annual Conference & Expo. Colorado Convention Center, Denver, CO: SME.More infoMining in present times is facing challenges that go beyond productivity goals, safety, and environmental considerations, all this in a context of economic sensitivity and market fluctuations, which in turn affect the expected financial results of a project. The implementation of new technologies appear to be a new trend in the industry, announced as a long-awaited aid for controlling risk and performance variability in complex operations. Many of these technologies are by themselves innovative and undeniably effective in their own niches, however when an integrated solution is implemented at the site, some systems may not talk smoothly to others. This paper presents a fresh perspective of how to start a comprehensive solution in modern mines, covering the newly available technologies and the scope of their capabilities. A step-by-step roadmap is provided to help project managers to choose the suitable technology to implement for their magnitude of operations, all this while complying with the requirements of maximizing production, controlling productivity of assets, thus keeping the continuity of operations and reaching the highest standards for safety and eco-friendliness.
- Tenorio Gutierrez, V. O., & Maguina, J. (2018, February). Application of Backfill in the Design of Open-Pit Mining Phases. 2018 SME Annual Conference & Expo. Minneapolis, MN: SME.More infoThe load-haul-dump cycle in Open Pit mining represents one of the most critical sources of cost. Trying to reduce this cost becomes an opportunity for adding value to the operation. Occupying haulage routes with fully loaded trucks may have a significant impact in the overall cost, especially when the material hauled is waste. Planning the mining phases always considers locating the stocks / pads considerably away from the Open Pit, similarly with what occurs with the dumping sites. In the former, it cannot be easy to relocate the ore discharge points, whereas in the latter, the location of the waste areas is determined at the beginning of the phase design, considering that the pioneering phases are typically for removing and dumping overburden. The cycles for waste and ore haulage, when defining a backfill area close to the pit, can decrease significantly, thus increasing the overall cycle throughput by up to 50%. In addition, because of the lower slopes (by the nature of the design), this value (50%) is susceptible to be increased by adjusting the speeds for fully loaded trucks. This reduction in cost would have a positive impact in the NPV of the project.
- Felli, P., & Tenorio Gutierrez, V. O. (2017, February). Integrated Uncertainty and Risk-Informed Decision Making Framework: Using Key Risk Drivers for Optimizing the Mine Plan. 2017 SME Annual Conference & Expo. Denver, CO: SME.More infoIn the process of developing a strategic mine plan for large-scale open pit mines during times of operating and financial uncertainty, an approach that combines systems engineering processes and decision theories which emphasize the proper use of risk analysis is required in order to alleviate the impact on project success. This study provides an understanding of how uncertainty and risk are leveraged for effective strategic decision- making. Motivation for this research is drawn from recent discourses on approaches to combine Risk informed decision-making has successfully been applied in industries such as space exploration, nuclear engineering, safety engineering.The key assumption underlying this model is that open pit strategic mine planning and design can be modelled as a complex distributed organization; where each organization has its own unique objectives. Full value is only realized when all unique sub-organization’s objectives are realized. Key risk drivers, or variables that have a profound interest on the success or failure of the project is identified and analyzed for each sub unit.For simplicity, the set of risk drivers are classified into key focus areas pertinent to strategic mine planning and design namely; block modeling, ultimate pit design, pit optimization, push back design, production scheduling and optimization etc…Each of these groups of risk drivers are then analyzed based on six key categories: objectives, preparation, execution, environment, resilience and results.
- Felli, P., & Tenorio Gutierrez, V. O. (2016, February). An Integrated Uncertainty and Risk-Informed Decision-Making Framework for Open Pit Strategic Mine Planning. 2016 SME Annual Conference & Expo. Phoenix Convention Center, Phoenix, AZ: SME.More infoMine planning is the heart of open pit operations. It is the strategy to follow in order to maximize the profitability of operations in a given time frame, with adequate equipment and personnel, constrained by geological, economic, and environmental factors. The lack of a holistic understanding of the complexities in mine planning may obstruct the process of getting the permitting approval; and as a consequence, production startup and the generation of expected value for shareholders could be adversely impacted. The goal of this study is to incorporate uncertainty and risk analysis into mine planning in creating value by adopting a top-down systemic risk management approach in a distributed environment. Using a framework for categorizing key risk drivers, the mine planning tasks are grouped with this major objective. The critical drivers affecting the achievement of these objectives are then identified, until all the sub-sections work collaboratively. Risk-informed decision making principles are applied in a collaborative manner for direction-setting in the selection of the optimal mine planning options.
- Sanzana, A. M., & Tenorio Gutierrez, V. O. (2016, February). Strategic Decisions based on the Cost Model Analysis for Mines Transitioning from Surface to Underground. 2016 SME Annual Conference & Expo. Phoenix Convention Center, Phoenix, AZ: SME.More infoThere is a current trend in transitioning from Open-Pit (OP) to Underground (UG) mines, as it becomes more difﬁcult to ﬁnd new, easily accessible ore deposits. It is necessary to find a method that will assure the optimum extraction of deeper and more complex orebodies and extend the life of the mine. In addition, there is the economic incentive of reducing the extraction cost per unit of ore. Several major OP-to-UG transition projects were compared in function of ore production for both methods, stripping ratio for the OP stage, and type of access to the deposit for the UG stage. Cost charts of every stage are presented and applied in a case study, providing a guide for making strategic decisions in the transition process.
- Vasquez, P. P., & Tenorio Gutierrez, V. O. (2016, February). Optimization Model of the Load-Haul-Dump Cycle using a Discrete-Event Simulator. 2016 SME Annual Conference & Expo. Phoenix Convention Center, Phoenix, AZ: SME.More infoThe mining industry, as many other production activities, is always in search of new solutions for the optimization of its processes in order to achieve a sustainable operation flow. Improving safety for operators and maximize the utilization of equipment assets when facing the cost variability and fluctuation of commodity prices has become a priority for the majority of operations around the world. This paper explores the most recent advancements in information technology that were occurring in the field of surface mine production, helping to centralize, integrate and analyze operational data. As a result, a Discrete-Event simulator has been developed as a specially designed tool for maximizing the utilization of equipment, safety of operators, and productivity increase. The application combines the supervisory features of production monitoring with an analysis of delays.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2015, Feb). Development of a Context-Based Simulator with Self-Generated Scenarios of Large-Scale Production Mines. 2015 SME Annual Conference & Expo. Denver, CO: SME.More infoKeeping high productivity in large-scale mines poses a complex task that requires special controlling and monitoring tools for displaying key information that help supervisors make the right decisions in order to achieve the planned production and quality goals. Simulation models have traditionally been used at a high-level for long-term decisions where complex details can be omitted since the simulation model is run over a long timeline and multiple runs, such as during the development and testing of a materials handling design. However, at a tactical level, where decisions need to be modeled in the current shift, complex details and subtle changes can make a significant difference. Simulation at a tactical level has not been feasible since too many details and variances cannot be programmed into a model fast or accurate enough to create the accurate context. A near-real-time data warehouse is an information system that absorbs and integrates data from multiple systems into a single context through a minimal delay, possibly minutes. However, an auto-generating simulation system that uses the complex subtle details of the current or past system contained in a data warehouse was created for use in a decision support system. Its development began with a detailed systems analysis wherein the key modeling units, namely location, conveyor network, truck cycles, and a host of other variables were organized into object-information/process pairs that could be replicated and connected. The core challenges in design and execution of such a system are further explored. The uniqueness of this feature helped to expand the capabilities of the simulator for analyzing multiple operating scenarios.
- Tenorio Gutierrez, V. O., & Sanzana, A. M. (2015, December). Analysis of the Impact in Throughput in the Transition from Surface to Underground Mining. VII International Mining Industry Summit on Business Process Improvement. JW Marriott Starr Pass, Tucson, AZ: BPI Summit (SME).More infoThe decision for transitioning an Open Pit mine to an Underground method is driven by factors that aim to reduce the operation cost while adjusting the processes in compliance with the new production demands. Measuring the overall performance requires an innovative approach. A strategy for tracking the impact of the change of methods has been developed based on historical outcomes of mines in where the transition represented a major restructuring in operator training, extraction equipment, unit operations and safety procedures. Comparative charts of key factors involved in the transitioning and the resulting performances provide a comprehensive overview of the analysis.
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2014, Feb). Modeling a Decision Support System Based on Operators’ Performance Using a Discrete-Event Simulator. 2014 SME Annual Meeting & Exhibit. Salt Lake City, UT: SME.
- Dessureault, S. D., & Tenorio Gutierrez, V. O. (2013, Aug). Preparedness of Mining Companies for Robotics: Success Cases and Challenges for the Future. IV Symposium of Information Technology, Communications, Automation and Robotics (TICAR). Marriott Hotel Miraflores - Lima, Peru: Sociedad Nacional de Minería.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2013, Mar). Measuring Blending Variability on Large Scale Coal Mines using an Operations Simulator. 2013 SME Annual Meeting & Exhibit. Colorado Convention Center - Denver, CO: SME.More infoCoal operations in large scale mines require a complex production infrastructure in order to attend the demand of their customers. One key factor is to provide the right value of BTU for each contractual requirement. This accuracy is affected by several factors that are difficult to identify. After analyzing the processes that are involved in the definition of the quality of the coal delivered, a simulator that reproduces every step of the production process has been developed. Data from past production cycles can be retrieved from the corporate Data Warehouse and historical performance can be reproduced. The results can be used for analyzing history or for creating what-if scenarios to help operators decide what adjustments are required according to specific key performance indicators displayed during each simulation. A probability cloud of standard deviations is generated to help measure the variability of the BTU delivered, providing a practical methodology for analysis and settings adjustments applicable in present-time operations.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2013, May). Blending Control using a Centralized Decisions Support System in Large Scale Operations. 6th International Industry Summit on Mining Performance (BPI). Pittsburgh, PA: 6th International Industry Summit on Mining Performance (BPI).
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2012, Mar). Developing a Centralized Real-time Decision Support System for Coal Blending. 2012 SME Annual Meeting & Exhibit. Seattle, WA: SME.More infoCoal quality in the blending process of large scale opencast mines is directly associated to the response time of operators when adjusting critical settings. Delivering coal with a specific BTU value to the loading facilities involves monitoring the variability of coal samples along the production process, instantaneous loading and crushing rates, maximum capacities, and truck locking using a fleet management system. Decisions include adjustments in crusher capacity settings, circuit selection, storage space utilization and an adequate combination of trucks and shovels to follow the mine plan. A centralized system built in a remote control room integrates the real-time display of these elements and allows the operator to take decisions using a simulator that provides diverse possible scenarios. Crew performance is recorded and utilized to score them in function of the coal quality results to the values required for each arriving train, providing an opportunity to collect best practices from the highest scoring teams.This paper presents the decision support screens to provide assistance to operators on a real-time scenario, and the resulting coal quality after changing settings.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2012, October). Development of a Control Room for Supervision of Autonomous Trucks in Surface Mining. Automining 2012. Vina del Mar, Chile: Gecamin.More info3rd. International Congress on Automation in the Mining Industry.ABSTRACTAn open pit mine using autonomous trucks represents a working environment different from traditional surface operations. While the attention of operators is focused on higher productivity and performance measurement, safety requirements for personnel and vehicles interacting with autonomous equipment in the same working area become more rigorous. A holistic perception of operations is required while keeping levels of performance monitoring and safety adequate for the success of operations. By centralizing the supervisory systems in a control room, situation awareness increases and response times to unexpected events can be reduced considerably. Designing such a control room includes ergonomic elements that stimulate levels of perception of operators, and facilitate interaction and communications with other operators in the same building. Implementation of real-time image visualization devices and proximity sensors in the autonomous vehicles goes along with enhanced communications networks and a centralized database system that is capable of recording all relevant events for analysis and improvement. Using fully featured operation simulators and business analysis tools contribute to expand the capabilities of the implementation by studying several possible scenarios and improve decision options during time-critical situations.The Mine Intelligence Research Group in the Mining and Geological Engineering Department at The University of Arizona focuses on technologies and engineering process changes for supervising open pit mines that can be used with autonomous equipment in production-related activities. This research program focuses in developing tools and techniques for defining the new roles of operators and supervisors in autonomous production, and the integration of information from diverse sources for display in the control room for decision support. A fully operational prototype has been implemented in the research laboratory for the integration of strategic information and remote monitoring of operations in real time. The goal is maintaining continuity while minimizing the variability of production processes.
- Tenorio Gutierrez, V. O., & Basko, T. (2011, May). Testing the Effectiveness of a Control Room for Coal Blending. 5th International Industry Summit on Mining Performance (BPI). Rapid City, SD: 5th International Industry Summit on Mining Performance (BPI).
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2011, Mar). Assessing the Effectiveness of a Decision Support System for Blending Control in Large Scale Coal Mine Operations. 2011 SME Annual Meeting & Exhibit. Colorado Convention Center - Denver, CO: SME.More infoBlending and Load Out are critical processes in large-scale opencast coal mines that require strategic decisions in order to minimize variability given the time constraints while loading train cars and the restrictions applied by contractual specifications. In this paper, a supervisory system with decision support features is proposed to provide the operator with a holisticperspective of the complexities of blending and load out processes while keeping the flow of operations.Each module of the system corresponds to the areas involved in these processes, with diverse data sources integrated in a Data Warehouse. These modules provide real-time information for making decisions that will impact the overall production results, balancing between maximizing profits, keepingcosts down and utilizing the existing infrastructure in full, while adhering to the mine plan. The proposed supervisory system design is built in a control room along with fleet management and plant control for comprehensive monitoring of operations and information exchange between areas. The effectiveness of a prototype system is shown after being tested with actual production data.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2010, Nov). A Model-Based Decision Support System for Supervision of Coal Blending and Load-Out Processes. INFORMS. Austin, TX: INFORMS.More infoA decision support system is designed and implemented in the largestcoal mine in North America, to supervise operations and achieve coalquality requirements while maximizing benefits. Operators can adjustparameters to reduce the risk of production variability, blending andshipping processes. Simulators and 5 algorithms take into account keydecisions such as; real-time pit-grade assay reconciliation andmining costs, planned train quality valuation and the cost ofover/undermining pits.
- Tenorio Gutierrez, V. O., & Dessureault, S. D. (2010, Sep). Supervision y Monitoreo de Multiples Vehículos Autonomos en Operaciones a Cielo Abierto - Supervision and Monitoring of Multiple Autonomous Vehicles in an Open Pit Mine. INFOMINA. Lima Sheraton Hotel - Lima, Peru: Instituto de Ingenieros de Minas del Peru (IIMP).More infoLa incorporacion y puesta en marcha de camiones autonomos para produccion en mineria superficial exige cambios en los sistemas existentes de supervision y control. El presente trabajo trata sobre los conceptos involucrados en el desarrollo de un sistema de soporte a las decisiones para la supervision de una flota combinada de camiones y cargadores frontales con operador y camiones autonomos en una mina a cielo abierto. El proyecto fue realizado como parte de un programa de explotacion minera con equipos autonomos que duro desde de principios de 2006 hasta finales de 2008. Los procedimientos de seguridad son revisados y adaptados a las nuevas tecnologias incluidas en la operacion. El objetivo del sistema de supervision es alcanzar metas a corto plazo del planeamiento mientras se mantienen condiciones de trabajo seguras. Las tareas de coordinacion se van haciendo mas complejas cuando mas vehículos estan funcionando simultaneamente. El diseno del sistema propuesto tiene por finalidad presentar informacion critica en tiempo real al supervisor a fin de que este pueda modificar los parametros de operacion y ajustar los resultados finales de produccion para acercarlos al plan original de minado.
- Pacheco Hague, K., & Tenorio Gutierrez, V. O. (2019, Spring). Application of Paste Fill Technology in an Underground Mine and its Benefits in Mine Production and Environmental Protection. 2019 SME Annual Conference & Expo. Colorado Convention Center, Denver, CO: SME.More infoBetween 95 and 98% of the material extracted from a mine is waste in the form of fragmented rock or tailings. This material needs to be relocated in a safe manner, by a technically feasible process, adequate technologies and environmental requirements at a viable cost. At present, mines involving using tailings for backfilling must meet the criteria of "zero discharge", optimizing space utilization, and the adequate disposal of chemical agents. The technology of thickened tailings and paste fill is a relatively new and proven method, which has a high rate of water recovery, uses the tailings almost in its entirety, and with the addition of aggregates can reinstate the initial structural characteristics after the ore is exploited. It is even possible to incorporate residues from other processes in the paste fill mixture, such as ashes, with the appropriate granulometry.
- Palomino, O. L., & Tenorio Gutierrez, V. O. (2018, December / Fall). Continuous Surface Miner Applied into Cutting Inclined Beds. 2018 AZ Conference. JW Marriott Tucson Starr Pass Resort & Spa: SME Tucson Section.More infoBy 2016, Cementos Pacasmayo S.A. (CPSAA) completed the start-up phase of a new cement processing plant in Piura, Perú. To operate its new Virrilá open cast, CPSAA hired mining contractor Minera San Martín S.A. (SM) who utilized a conventional method for the extraction of sedimentary deposits of calcareous layers. By the beginning of 2017, the El Niño phenomenon destroyed almost 14 kilometers of the connecting route between the processing plant and the Virrilá open cast. Under such circumstances, CPSAA took the right of modifying the contract with SM, leaving them less critical tasks, and requested its own Mine Department to look for an alternative and cheaper mining method.
- Risso, N., Risso, N., Palomino, O. L., Palomino, O. L., Momayez, M., Momayez, M., Tenorio Gutierrez, V. O., & Tenorio Gutierrez, V. O. (2018, December / Fall). Smart Mines. 2018 AZ Conference. JW Marriott Tucson Starr Pass Resort & Spa: SME Tucson Section.More infoNowadays, society is facing the advent of the 4th Industrial Revolution, characterized by a fusion and integration of technologies. Notions associated to this paradigm include the Industrial Internet of Things (iIoT) and Smart manufacturing technologies, which carry the promise of improved safety and productivity, within a sustainable and integrated framework. These notions are consistently being incorporated in the development of “smart cities”, or cities that aim to be more efficient, sustainable, equitable and livable. This idea is extended in the minerals industry to the concept of smart mine. A smart mine should integrate the physical and IT infrastructures, to the social and business dimensions, in order to leverage its intelligence and achieve a more sustainable and profitable process. But to what extent does the mining industry catch up with these ideas, and what is currently missing? In this work, we formalize the notion of smart mines and provide a brief survey on the current advances existing in the industry, which lead to the implementation of a smart mine. We link ideas from smart cities to potential applications in the minerals industry which may allow for safer and more efficient production. Additionally, we provide a brief discussion on the impacts and challenges associated to the incorporation of these new technological advancements to different areas in the mining industry. Finally, we identify as main impacts of the implementation of smart mines: (1) a shifting in maintenance and dynamic allocations of resources, towards automated and intelligent supply systems; (2) an increase in the use of biosensors integrated to intelligent infrastructure, to achieve safer work environments; (3) the consolidation of autonomous technologies and tele-operation for working in harsh environments and remote locations; (4) an evolution of the decision-making process based on the tactical visualization of critical information; and (5) the development of new management structures and regulations which can provide safety and guarantee confidentiality in accordance to the use of these new technologies.
- Yang, S., Tenorio Gutierrez, V. O., Momayez, M., Gravley, S., & Werner, J. D. (2018, September). Study on Pressure Waves Propagation in an Underground Mine. MEI2018 Conference & Expo. Las Vegas, NV.: Mining & Exploration International.More infoThe pressure wave is a kind of elastic wave that exists in mass flow. When pressure is changed, a positive or negative wave occurs, and spreads far away. The speed of the pressure wave is related to gas density, pressure, and temperature. Usually, the speed of the pressure wave is roughly equal to the speed of sound (340m/s). Survey of the pressure wave can be used to estimate the location of any pressure wave event, such as pipe crack or pipe burst. The pressure wave also exists in ventilation systems for underground mines, where it can be used to estimate the air door status and special events, such as methane outburst, local fan’s status and gas explosion. Although the pressure wave is difficult to measure, it is very necessary to detect it, find the source of its occurrence, trace any possible spreading, and measure its impact in the ventilation system.
- Carpio, J. M., Tenorio Gutierrez, V. O., Momayez, M., & Gravley, S. (2016, March). Shaft and Hoisting System Operational Analysis at San Xavier Mine Lab. 2016 Latin America-UA Winter Program. University of Arizona: OLAPI.More infoHoisting systems and shafts are vital components of underground mines for transporting personnel, equipment and supplies to the working levels, and to bring up to the surface the valuable minerals extracted. Safe and efficient functioning of mine shafts are critical to all underground operations. This research deals with the design specifications and functional analysis of a hoisting system operating in a vertical shaft at the San Xavier Mining Laboratory (SX) in Sahuarita, AZ. A simulation of the hoisting cycle is also. This system has important features such as SafeHoist® autonomous system, a Lily Overspeed Hoist Controller and a skip monitoring system along of the shaft. These components enable a closer examination at the depth where vibration peaks are occurring and activate the safety brakes. It is essential to reduce damages in the hoisting system before major repairs and equipment replacement are required.
- Diaz, N. B., Tenorio Gutierrez, V. O., Momayez, M., & Gravley, S. (2016, March). Design of a refuge station for rail-mounted mining equipment. 2016 Latin America-UA Winter Program. University of Arizona: OLAPI.More infoMining provides the building block for human development. Minerals and metals are key to all services and infrastructure that are used by contemporary society (i.e., shelter, food and water supply, energy supply, transportation, manufacturing and health). As the size of population growth, coupled with ongoing requirements in the developed world, the demand for minerals and metals becomes stronger. In this regard, research into the area must be aimed at finding and developing new mines as well as dealing with the new challenges facing it. One of these challenges is the important trend that are pushing mining companies to take a look at underground operations, despite the cost advantages of surface. The design of a chamber that will work as a refuge station for parking rail-mounted mining equipment is required. Two mine cars and a pneumatic mucker will be parked inside, allowing space for maneuvering. Some simplification in terms of rock strength and faults is acceptable. It will be included a typical work cycle for a hypothetical production plan for the stope. The case will be modeled using 3D software.
- Figueiredo dos Santos, J., Momayez, M., Tenorio Gutierrez, V. O., & Lowell, G. D. (2015, Summer). Updating the 3D model of San Xavier Mine Laboratory using Point Cloud. 2015 UA-Latin America Summer Research Program. Mining and Geological Engineering Department: OLAPI.More infoThe mining industry can take advantage of new technologies that help to achieve production goals and provide safety to operators and equipment. Surveying is an essential task, required for controlling the advancement of excavations with accuracy. 3D laser scanning is a powerful tool that collects accurate data by measuring multiple distances creating a cloud of points, and assembling them to produce a realistic image with volumetric properties and provide an enhanced visualization of topographical attributes following the actual shape of the mine. For updating the historical San Xavier Underground Mine, a I-Site 4400 scanner was utilized to create a complete spatial model.The objectives are:• Updating the topographical features of the existing 3D model of the San Xavier Mine; • Measure the volumes of all excavations;• Prepare the layout for merging with the Geological model.
- Sanzana, A. M., & Tenorio Gutierrez, V. O. (2015, March). Cost Model for Transition from Surface to Underground. 2015 Latin America-UA Winter Research Program. University of Arizona: OLAPI.More infoThere are multiple reasons for transitioning from Open-Pit (OP) to Underground (UG) mining. The primary economic incentive for going UG is that the cost per unit of ore from OP mining eventually exceeds that from UG extraction. This is due to the excessive amount of waste that must be extracted when the depth of the pit increases. In addition, the reduced footprint of UG operations contributes to diminish the environmental impact on the surface. Furthermore, it becomes more difﬁcult to ﬁnd new, easily accessible ore deposits. Then, a cost model helps to guide strategic decisions in the transition from OP-to-UG mines.
- Tenorio Gutierrez, V. O., Kahraman, M., & Dessureault, S. D. (2011, March). Implementation of an Integrated Real-Time Command and Control Center for Automated Blending and Load-Out in High-Scale Coal Mine Operations. 2011 SME Annual Meeting & Exhibit. Denver, CO: SME.More infoSome of the largest coal deposits in the world are found in the Powder River Basin region of Wyoming. The high levels in one of the region’s largest opencast coal mines demand a complex infrastructure that works virtually every day of the year to comply with contracts of different blending specifications. The arrival of train convoys on a short notice schedule also reduces the flexibility required to change blending settings. A control room is proposed for the integration of the information flow and to minimize the deviation of the delivered target quality. Real-time supervision of operations ensures compliance with mine plans while allowing the lowest fleet operating costs to be identified. This will provide decision makers with adequate judgment tools to keep performance levels in sync with the mine plan. Historical data is extracted and stored into data warehouses for further analysis. Just as several scenarios can be generated in a simulator with diverse operating settings, the impacts of decisions made by mine operators can also be tested and mathematically measured. The effectiveness of the integrated supervisory system in controlling the variability of high production mining operations that could be justified by comparing performance during simulation with actual historical results.