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By W. Clark Ashby

Productivity is a fascinating concept. Like motherhood or apple pie, we know it as a good thing. Just what it means is not so clear. To a coal miner we assume it means tons of coal hauled from the mine. To the company president it means profit after capital, labor, and other costs have also been reckoned. To the government economist it means output in a balance of payments. What does it mean to the biologist, and can reclamation really be productive? In this paper we discuss productivity from a biological viewpoint, give some yield data for various types of reclamation plantings, and discuss how our demand for or acceptance of differing kinds of productivity is tied up in bigger questions of land use, environmental stability, and resource allocation.

Jan 1, 1981

By Sean Hunter

Artificial Intelligence has a long history but is currently coming strongly into focus with new advancements. This leads to questions many people are asking: what exactly is AI, how can it be used effectively in mining operations, and what foundation is required to make AI implementations successful? In mining, many AI applications exist, from drill pattern optimization to predictive maintenance. However, many implementations struggle due to data integration challenges. Mining operations generate large amounts of data from many sources, such as fleet management systems, drill sensors, process control systems, and laboratory results. Unfortunately, this data often exists in silos where it’s difficult to get it out, making AI applications unable to leverage it. Worse still, tools that use AI don’t always provide their data back to the system, creating even further data silos. All these problems make it hard to take advantage of the data at the mine, slowing down and reducing the effectiveness of AI. This paper presents a comprehensive approach to organizing mining data using an AI-ready knowledge graph system. We will first explore the evolution of AI in mining, from early expert systems to modern machine learning applications. Then, we will detail how a knowledge graph can integrate business context, operational data, and AI models into a cohesive system that enables more effective AI implementations across mining operations. The proposed method has been developed considering both the unique data challenges faced by the mining industry, while also considering best practices learned from the AI field at large. By following this approach, it’s possible to better utilize existing data, getting higher quality and more complete results faster, and in a way that’s reusable and composable.

Feb 1, 2025

By M. J. Sanzotti

This paper examines the potential for controlling longwall-induced subsidence by pneumatically backstowing the void created by mining with waste rock, and having the process scheduled as a unit operation of the mining activity. Based on a review of background literature, interviews with representatives of various mining companies, public-interest groups, and state and federal regulatory agencies, a hypothetical case-study evaluation of pneumatic stowing in a southwestern Pennsylvania mine site was conducted. The study indicated that current stowing technology cannot keep pace with the production potential of U.S. longwall systems. Further, at the case-study mine site, concomitant stowing would reduce subsidence by only 50% of that incurred during full longwall caving, the longwall coal production rate would decrease from 4000 tons per shift in the non-stowing case to 1500 tons in the stowing case, and a preliminary cost analysis reveals that pneumatic stowing would add $5.25 to $10.50 to the operating cost of producing a ton of coal at the case-study site.

Jan 1, 1995

For nearly two decades, MINExpo International has held the title to the biggest show in mining. The 2012 MINExpo is expected to be the biggest yet, with nearly 1,800 exhibitors rolling out the newest equipment and services across 12 halls. From September 24 to 26 in the Las Vegas Convention Center, MINExpo will present the newest in everything from automation and robotics to safety and communications equipment to reclamation services, and much, much more. The last MINExpo, in 2008, had nearly 38,500 visitors. The show?s sponsor, the National Mining Association, expects this year will be even bigger, with more than 40,000 visitors over three days. Twenty talks on the issues facing mining today are scheduled for Tuesday and Wednesday mornings, but the real action will happen out on the floor. That?s where ultra haul trucks big enough to carry as much as 363 t (400 st) of rock will be assembled next to underground loaders able to lift more than 20 t (22 st) in one scoop. Caterpillar, Komatsu, Liebherr, Sandvik, Atlas Copco: all the big names in mining equipment will be there. Their massive earthmoving equipment and mining machines are the centerpiece of the show. Preassembly for the largest pieces begins on August 6, 2012.

Jan 1, 2013

By Richard Adsero

The Australian Bureau of Statistics and the United States Bureau of Labor Statistics publish data for a range of industries, allowing a measure of performance to be quantified, called multifactor productivity (MFP), and allowing performance between industries to be compared on a consistent basis. At the time of writing, the last released data was for 2011-2012. For Australia, the plot of mining industry productivity and a basket of the 12 most significant industries in Australia?s economy (including mining) are shown in Fig. 1. For the United States, mining and petroleum and all manufacturing productivity are also displayed in Fig. 1. The trends are as follows: ? The MFP in the Australian mining sector rose 36 percent from 1986-1987 to 2000-2001. There was a 47-percent decline in MFP from 2000-2001 to 2011-2012 (Australian Bureau of Statistics, 2011). ? The MFP in the United States mining sector rose 17 percent from 1986-1987 to 2004-2005. There was a 7-percent decline in MFP 2004-2005 to 2010-2011, (Topp et al., 2008).

Sep 1, 2013

By Hans von Michaelis

It is appropriate that this opening session of HAZPAC '91 and Randol Gold Forum CAIRNS '91 should address the question of what the two industries can learn from each other. The panel is made up of members with experience in both industry. Several are experts on managing both hazardous waste and the mine/mineral processing environment. There is a marked difference in the regulatory needs with respect to treating and disposing of mining and mineral processing wastes, and "hazardous" or industrial waste materials. The topic of this paper is on the things that the two industries have in common: Many of the processes and technologies that are being used or are currently being developed for treatment of hazardous waste are the same or similar to the processes that have been used for decades or k,nger in the mineral processing industry. Hazardous waste treatment and remediation of contaminated solid and/or groundwater is a relatively new industry. Many of the practitioners in this new industry are relatively inexperienced in most of the "new" technologies that are being applied or developed.

Jan 1, 1991

By J. J. Fallon

Las Vegas is a place of many distractions. It is difficult for one to apply himself to sophisticated technical matters in the midst of gambling, liquor, scantily clad young ladies and the top entertainment available in the United States. But, I know that the men and women of SME are made of stronger stuff and will not be tempted by these things.

Jan 1, 1989

By Jodie Robertson, Isabel Barton, Cristian Caro

Prior to mining, all rocks contained in a mineral deposit must be placed in one of several categories known as ore types. Each ore type describes a different way that the rock will behave in processing. The ore type determines which process stream a particular mined unit will be sent to, sets expectations for process engineers and metallurgists, and forms the basis for recovery predictions and production estimates. At first, ore types are assigned mainly by geologists based on visible geological criteria (dominant ore mineralogy, estimated grade, rock type, alteration type). As metallurgical tests are carried out and process data accumulate, the resulting criteria may be factored into the ore typing process, typically as assays and recoverable metal using the relevant process(es). Other variables may also be incorporated into ore typing at operations if they are particularly important, such as grindability, preg-robbing, gangue reagent consumption, and the presence of especially deleterious minerals such as talc or smectite. The mine operation department may also redefine ore types and/or process destinations based on economic criteria. A “best” ore type is designated that (in theory) best describes how the rock will behave in processing. Codes representing this ore type are entered into the drill hole database, then interpreted on cross sections and level plans, and finally added to the block model. Ore types are iteratively reexamined and adjusted over the life of a project. Major difficulties in effective ore typing are (1) lack of communication between geologists and metallurgists, (2) the imprecision inherent in imposing clean categories on messy natural systems without discrete divisions, (3) the need for ore types to provide useful information for a wide range of processes, (4) difficulties in scaling up laboratory test results to mine production, and (5) conflict among geological, metallurgical, and economic criteria for ore typing.

Nov 8, 2023

By G. V. Campbell, O. T. Holdsworth, M. G. Nelson

A senior design project is required by all accredited mining engineering degree programs. Often referred to as the capstone of a student’s education, this project is expected to include all the important components of the preliminary economic assessment of a mineral prospect, including orebody modeling, grade and reserve estimation, selection of mining and processing methods, preliminary mine design, access and utilities, environmental compliance and reclamation, and financial analysis. Two of the authors (Campbell and Holdsworth) completed a senior project in 2021. They analyzed the Akie zinc deposit located in Canada. This paper summarizes the economic analysis portion of that project. The two primary objectives of this economic analysis were risk reduction and integration of economics and engineering. Addressing risk is important as risk is one of the primary concerns in mining investments. Risk reduction was the primary concern through the entirety of this economic analysis. Integration of financial analysis and engineering design was the first component of a risk reduction design. This allowed for financial and engineering design to be optimized in conjunction with one another. This produced benefits from both a financial and an engineering prospective. From a market, economic, and financial risk perspective, risk was reduced by forecasting multiple metal price scenarios, and then addressing the Akie project’s economic viability at each price point. Lastly, risk was address through consideration of nontraditional financing options. The project also sought to minimize financial and human capital risk, by proposing mutually beneficial cooperative social relationships and favorable work, schedules. Description of that work is not included in this paper.

Mar 2, 2022

By J. P. H. Steele, T. Vincent, C. Debrunner, M. Whitehorn

For a variety of reasons, the need for automation of underground mining equipment is growing dramatically, e.g., improved safety and health, availability of labor, deeper mines, and desire for more focused excavation. While there has been tremendous progress made in this direction, much needs to be done to reach the holy grail of an autonomous mining machine. This paper reviews a number of technological developments and presents research and development needs for future development. A report on our current project for the Western Mining Resource Center at CSM is included.

Jan 1, 2000

By Michael Roach

"There’s a bit of confusion and misinformation in the tunneling and underground construction industry regarding contractor joint ventures. If it was all so clear I would not have been "asked" to write this article. For those of us on the contractors’ side of the fence, joint venture business relationships have been a part of life for a long time. But even for contractors, there can be a bit of confusion, and it normally begins on bid day.How often have you received bid results and wondered (out loud, usually), "Who the hell are the Lake Mead Intake Constructors"? or the "Regional Connector Constructors"? Once you get past the name, you see that there is nothing behind Oz’s curtain other than a couple of contractors bidding and building work in an attempt to make a profit. So take a few minutes to read the rest of this, and I’ll do my best to dispel a few mythWhat is a joint venture?In some form or fashion, joint ventures are as old as industry itself. In the United States, some of the earliest (and largest) joint ventures involved the railroads and oil companies in the late 1800s. In the United States’ underground construction industry, joint venture names such as, Healy-Greenfield, Green and Winston, Gates & Fox and Walsh, Shea-Ball, Kenny-Paschen and S&M-Traylor bring back memories of successful joint ventures that operated over many projects.There are nearly as many definitions for joint ventures (JVs) as there are attorneys. A short and simple definition is, "an association of two or more companies engaged in a singular, for-profit business enterprise without actual partnership or incorporation." That’s it. Two or more contractors decide to partner up for one or more projects. One benefit of the JV relationship is that the partners typically do not need to file incorporation documents, or articles of organization within the state where they intend to operate. So it is a relatively easy business arrangement to pull together. Other benefits of the JV arrangement include: • Oportunities to gain new expertise and capacity.• The ability for firms to move into new geographic markets.• JV agreements are not long-term commitments.• Sharing of financial support for a project.• Sharing of financial risks within a project. between the partners.• Can complicate dispute resolutions with the owner and between partners"

Jan 1, 2014

By Giuseppe M. Gaspari, Tamara Kondrachova

Contract practices affect cost and schedule of tunneling works, impacting risk allocation between Owners and Contractors. The Authors compiled a dataset of projects constructed in the Toronto Area between 1990–2020 procured either Design-Build or Design-Bid-Build. Data were analyzed identifying independent cost variables across the two methods. Overall industry efficiency further comparison with historical information demonstrates the costs of engineering ongoing escalation due to rising trends in environmental requirements and public consultations stirred through modern communicative platforms. These hard to predict and estimate costs need to be included in the risks evaluated and managed by Owners and not by Contractors

Jun 13, 2021

By Terry M. Hertel

The chemistry of waters processed by Acid Rock Drainage water treatment plants can affect the Total Suspended Solids quality of the plant effluents. The sulfate ions in the ARD water will combine with the calcium ions from the lime that is used to adjust pH to form calcium sulfate. When the sulfate content of the waters to be treated is greater than about 1400 parts per mil­lion, the resulting calcium sulfate concentration will be approx­imately 2100 parts per million. This concentration is above the saturation point for calcium sulfate, and the salt will drop out of solution until the concentration falls below the saturation point. This "salting" phenomenon affects the total suspended solids of the treatment plant effluents by virtue of the fact that the salts will report to the filtration apparatus used for the analy­sis. This scenario is exacerbated as an effluent sample ages. Zortman Mining's water treatment plant effluent was being affected by "salting" during the spring and summer of 1995, and it seemed as though the effluents were exceeding the TSS lim­its; for no obvious reason. A testing program was initiated to verify an observation that "salting' was taking place. Treatment plant samples were collected and allowed to age, with TSS analyses being performed every day that the samples aged. Synthetic solutions were also prepared to study the "salting" phenomenon.

Jan 1, 1996

By Andrew Neale

ERIC GUTIERREZ: With that, we'll go ahead with the final speaker of the day, Andrew Neale. Andrew has a master's of science degree in mineral processing from the University of Alberta. He worked at the Falconbridge in Sudbury area, also at Brenda Mines, and then he became part of the Brenda Process Technology group in British Columbia. He joined Freeport in late 1993 in Indonesia, and was involved in process control and automation. He is now the senior manager of metallurgy in New Orleans. He's responsible for designing Freeport's new 100,000-ton-per-day expansion concentrator, which is currently being commissioned. Please welcome Andrew. ANDREW NEALE: With the ongoing explosion in digital computing power, there seems to be no limit to what can be modeled, simulated, and controlled in the mineral processing plant. However, at each stage of development of a control system, it is necessary to complete a cost-benefit analysis for justifying the move to a higher level of control. Incremental improvements in plant performance, while often significant, must be weighed against the costs of implementation and long-term maintenance. This presentation will provide examples of what the author believes are misplaced or misguided process control efforts and make a case for the KISS principle as applied to process control.

Jan 1, 1998

By D. A. Bulled

• "What does it look like?" - describes the appearance. • "How does it work?" - outlines the operation. e "Why does it work?"- explains the principles. • "What about controls?" - indicates possible automatic systems. • "How is it sized?" - discusses the necessary testwork and evaluation. • "What are the results?" - demonstrates test and operating results. • "What's the benefit?" - concludes with gains for the user.

Jan 1, 1999

By Raymond E. Connell

From a macro business process perspective, if what we do in the Mining Industry is find material, dig it out of the ground, convert it to a product and sell it, we are in what might be considered a "simple business". If it is so simple, where does information technology fit? How does it affect our industry? Is it a strategic tool for our industry? What approach should we be employing to ensure we are utilizing information technology effectively? How is information technology integrated or tied together with other areas in the organization such as process control? What kind of people and skill sets are required to support the whole area of information technology? What effect does information technology and automation have on streamlining and rethinking the way we do business in the 90's. This paper covers how these areas have been addressed within the Noranda Group of Companies. It reviews how information technology has evolved, the approach, and what effect it has had on a diversified natural resources company in the mining and metals, forest products, and oil and gas industries.

Jan 1, 1993

By G. C. Hambleton

There is sufficient indication of the existence of a basic misconception in the Coal Mining industry (on a world-wide basis) as to what computer control really does, what it costs, how it works and how and what it achieves as to make this presentation a welcome opportunity to present the case in what we hope is a simple, meaningful way. A plant cannot be said to be "automated" unless the control system has the capability to react automatically in accordance with predetermined programs under a great multiplicity of operational situations.

Jan 1, 1981

By W.A. van der Westhuizen

Mineral resource management has become a well used phrase in the mining and minerals industry. Mineral resource managers are being appointed in many mining and mining-related organisations. Every mineral resource manager has his/her own ideas regarding what MRM means. There seems to be a tendency to define MRM close to home; geology would apply MRM principles to their environment and so will metallurgy, planning, mining, survey and every discipline and participant in the mining value chain. What do we do in the MRM environment and what do we aim to achieve? Surely we must have goals: what are they? Is value tracking MRM? What about best practices? Let us start at the beginning: what do we want to achieve in any mining operation? The minerals industry would like to make money, now and in the future. This calls for serious management inputs. The most important aspect is a holistic management approach regarding the total mining value chain. Process optimisation follows with application of Mineral Resource Throughput Management (MRTM) and Process Flow Management principles. Once flow processes have been established the necessary condition driven standards and measurements will be installed to ensure continuity in applicable processes.

Jan 1, 2012

By Jonathan K. Hrica, CASSANDRA L. HOEBBEL, Jennica L. Bellanca

Accidents involving powered haulage and mobile equipment such as haul trucks often account for the greatest number of fatalities in the mining industry each year. Despite previous analyses that have identified root causes and other contributing factors, there is still a need to better understand the events leading up to these types of accidents, what lessons may be learned, and what strategies can be employed to prevent fatal accidents from occurring. This study examines Naturalistic Decision Making (NDM) using the critical decision method (CDM). The CDM is a retrospective interview approach used to explore timelimited, high-stakes, decision-making. In this study the CDM is used to obtain more information about what happens prior to, during, and after a potentially fatal situation such as a near-miss event, loss of control, or minor accident involving equipment damage. Researchers captured firsthand accounts from 21 haul truck operators involved in near-miss events from mine sites of various sizes and commodities throughout the United States. These accounts provide rich and detailed narratives from the perspective of haul truck operators themselves and reveal insights into what decisions haul truck operators make, what sensory cues they perceive, and what strategies they employ during challenging and non-routine situations. Decision-related themes that emerged from the data are presented and discussed. These results, along with potential solutions offered by study participants, can help to inform future research, raise awareness about hidden hazards, and build more creative interventions and realistic training scenarios for use by the industry to address haul truck safety issues.

Feb 1, 2024

By None None

Life as a mining/mineral professional doesn’t leave much time for perusing 20-page technical papers. Yet, being technologically savvy is part and parcel of a successful career in this industry. What’s an intelligent, well-informed person to do?