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  • AUSIMM
    Ore Reserve Estimation - The Systematics to Get it Right

    By S N CARRAS

    Ore reserve estimation is a procedure involving data collection, data storage and judgement and assumptions about geology mining and metallurgy. Calculations are based on these assumptions and an e

    Jan 1, 1992

  • AUSIMM
    Not for the Faint-Hearted

    By J Whittle

    This paper describes what is involved in carrying out a comprehensive optimisation of a long-term operating schedule for a mining complex. It details the data that must be assembled and discusses the

    Nov 24, 2014

  • AUSIMM
    Optimising Mobile Equipment Resources in Massive Mining

    Mobile mining equipment presents only a small portion (ten per cent mining project costs but the selected technology will determine to a large extent the mining performance and mine profitability. The

    Jan 1, 2000

  • AUSIMM
    Mine Closure Guidelines for Western Australia and Consultation Process

    By X T. Nguyen

    Western AustraliaÆs Mining Act 1978 was amended in 2010 to provide for the requirement of a mine closure plan to be submitted to the Department of Mines and Petroleum (DMP) for approval, as part of a

    Jul 10, 2012

  • AUSIMM
    From errors to uncertainty – a clarification for proper use by the Theory of Sampling

    By F F. Pitard

    Observation from attending many conferences around the world reveals that many people are constantly shifting from the word ‘error’ to the word ‘uncertainty’ without a clear vision of what the subtle

    May 9, 2017

  • AUSIMM
    Cultivating Minerals Sector Skills in Graduates

    The Australian minerals sector has a shortage of skilled professionals to satisfy an industry that is experiencing renewed vitality. Graduate numbers are low throughout Australia and the world, while

    Jan 1, 2004

  • AUSIMM
    The 250 million ton per annum spatial digital twin

    By M Pomery

    BHP’s Western Australian Iron Ore Operations (WAIO) move approximately 250 million tons of ore per annum. The magnitude of the constant changes to the terrain models along with the diverse output and

    Sep 18, 2023

  • AUSIMM
    Reconciliation Principles for the Mining Industry

    Reconciliation involves the collection of tonnage, grade (quality) and contained metal (product) data from disparate and hopefully independent sources. Examples are exploration data, production sampli

    Sep 26, 2011

  • AUSIMM
    Impact of Stope Geometry on Backfill Systems for Bulk Mining

    By A Grice

    AMC has completed a number of backfill options studies, including several in recent years for large, three-dimensional orebodies involving total extraction by longhole open stoping with backfill. This

    Jan 1, 2000

  • AUSIMM
    Business Transformation - Lessons Learnt for Successful Change

    By G Campbell-Cowan

    Much has been written about the fact that most transformation efforts disappoint. This paper addresses factors that should be taken into consideration in planning and implementing transformation progr

    Nov 20, 2012

  • AUSIMM
    Innovative Victoria Park Tunnel design is Communicated Effectively to Stakeholders with the Aid of Three-Dimensional Visualisation Medi

    By M Sparrow

    The Victoria Park Tunnel project is an inner-city alliance project in central Auckland, New Zealand. The existing two-directional viaduct will be modified to single-direction flow, and a new northboun

    Mar 8, 2011

  • AUSIMM
    Comparison of Diamond Drill Size on Iron Ore Geometallurgical Results

    By T Sua, B Wright

    "BHP Billiton West Australian Iron Ore (WAIO) conducts an extensive geometallurgy program for its iron ore deposits in the Pilbara with the focus on determining the lump yield (the mass percentage of

    Jun 15, 2016

  • AUSIMM
    An effective approach to problem solving and decision-making in safety management

    By A K. B Chigwada

    Mining organisations grapple with the same problems year after year, wasting incredible amounts of time and money. According to estimates from the International Labour Organization (ILO), over one mil

    Apr 16, 2024

  • AUSIMM
    Training our New Starters – Between a Rock and a Hard Place

    By M Davis

    Increasing growth in the minerals industry over the past decade has raised the question of whether the standard of training for new geologists has been negatively impacted. This hypothesis was tested

    Aug 22, 2011

  • AUSIMM
    A Safety RegulatorÆs Perspective of Risk Management

    By R Billingham

    QueenslandÆs new safety legislation for metalliferous and coal mining (Mining and Quarrying Safety and Health Act 1999 and Coal Mining Safety and Health Act 1999, together with the Regulations) came i

    Jan 1, 2002

  • AUSIMM
    The production of green steel using Hismelt

    By N J. Goodman

    The HIsmelt technology was developed and proven in Western Australia (WA) after more than 30 years and several billion dollars of research and development. The HIsmelt technology was transferred to Ch

    Nov 8, 2021

  • AUSIMM
    MEMS – The Mine Event Management System: a process to assist with incident management

    By B Stewart

    It has long been recognised that knowledge of the conditions existing in a mine after an incident is essential in deciding whether to deploy responders as part of the incident recovery process. Applyi

    Apr 16, 2024

  • AUSIMM
    Past Achievements and Future Challenges in the Underground Coal Sector

    By B Robertson

    Over the 40 years that the author has been engaged in the Australian underground coal mining industry, there has been a continuous improvement in safety performance as the sector has grown in size and

    Jul 1, 2013

  • AUSIMM
    General Safety Inductions for the Mining Industry

    In the past two and a half years, over 40 000 metalliferous mining and related services personnel have been trained through an Australian Generic Safety Induction system. This is almost half of Austra

    Jan 1, 1999

  • AUSIMM
    Rapid Resource Modelling – A Vision for Faster and Better Mining Decisions

    By P F. Hodkiewicz

    "Our understanding of mineral resources relies on three basic steps: data capture data interpretation model construction. Until recently, all three of these steps required significant time and ma

    Aug 18, 2014