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  • AUSIMM
    Visualising risk – proactive is better than reactive

    By S Withell, K Sheehan

    Whitehaven Coal (WHC) is undergoing a transformative journey, deeply committed to the principles of a High Reliability Organisation (HRO) and the establishment of a mature, interdependent culture foun

    Apr 16, 2024

  • AUSIMM
    Rock and Coal Type Distribution in the Greymouth Area: Applications for Mining

    The Main Seam occurs in two 'pods', termed North and South, separated by an east-west oriented 'want' zone (most probably a palaeo-channel). The seam on either side of the 'wa

    Jan 1, 1996

  • AUSIMM
    Fundamental Sampling Error and Sampling Precision in Resource Estimation – A Discussion

    By N Schofield

    For the sampling of particulate materials in mineral exploration and mining, the fundamental sampling error (FSE) introduced by Gy is a measure of the constitutional heterogeneity of the sample lot an

    Aug 22, 2011

  • AUSIMM
    Engineering the New Olympic Dam Backfill System

    By A G. Grice

    WMC Resources Pty Ltd û Copper Uranium Division operates the large underground Olympic Dam Mine at Roxby Downs, South Australia. These operations mine and process the ore to produce refined copper, ur

    Jan 1, 2000

  • AUSIMM
    Australia’s Potential for Nickel Sulfide Ore Systems – A New Continental-scale Time-space Framework for Exploration

    By R G. Skirrow, M Cooper, J Claoué-Long, K Czarnota, H Dulfer, J Thorne, D C. Champion

    "An EXTENDED ABSTRACT is available for download. A full-length paper was not prepared for this presentation. Tholeiitic intrusion-hosted nickel (PGE-Cu) sulfide deposits are under-represented in Austr

    Mar 18, 2015

  • AUSIMM
    The Casposo Gold-Silver Project – Process Selection and Design

    By D Connelly

    Silver and gold bearing ore from the Troy Resources NL Casposo Gold-Silver Project, located within the San Juan Province of Argentina contains a complex mix of gold, silver, electrum and silver sulphi

    Aug 8, 2011

  • AUSIMM
    Mentoring - Fostering Relationships to Enrich Decision-Making

    Mother Nature controls, technical professionals model and miners decide. Decisions to explore, mine and mill. Mine decisions, mine design, planning and scheduling are subject to the quality of models

    Jan 1, 2006

  • AUSIMM
    Process Control - A Technology for the Present and Future

    By DJ McKEE

    Process control emerged in the mid-1960s as a new and exciting method of improving the performance of mineral processing operations. The early Australian developments, principally in Broken Hill and

    Jan 1, 1992

  • AUSIMM
    A Non-Linear Programming Model for Open Pit Mine Equipment Selection

    In mining industries, materials loading and handling costs represent a significant component of the total (capital and operation) costs. A variety of methods have been applied in surface mine equipmen

    Dec 6, 2010

  • AUSIMM
    Semi-automated Geological Interpretation Using Assay and Infrared Spectroscopic Sensing Parameters towards Improvements in Geological Modelling

    By F Flitti, M Haest, O Dominguez, D Mittrup, G Hird

    The automated geology interpretation (AGI) tool has been developed in BHP Billiton to automate stratigraphy logging of drill holes, using any available quantitative data sets. At present, AGI is set-u

    Jul 13, 2015

  • AUSIMM
    Mine Closure and Aftercare - The Waikato Experience

    This paper reviews rehabilitation, closure, and post-closure management of the Tui, Golden Cross, and Martha Mines, all of which are located in the Waikato Region of New Zealand. There was no requirem

    Jan 1, 2003

  • AUSIMM
    Machine learning in resource geology – why data quality is critical

    By P M. Hetherington, F A. Pym, M P. Murphy, K E. Crook

    Consultants in the mining industry have the opportunity to visit interesting deposits all over the world. Each deposit has its own set of challenges to face when it comes to defining and understanding

    Mar 22, 2022

  • AUSIMM
    Operational Assessment of Underground Conveying Systems

    Simple parameters, capable of easy observation on-site under operating conditions without interruption to production, are outlined for the operational assessment of underground conveyor systems. R

    Jan 1, 1982

  • AUSIMM
    Design and Construction of Large Caverns in Granite – Ulu Jelai Hydroelectric Project, Malaysia

    By B Chapman, B Gaida, L Drowley

    The 372 MW Ulu Jelai Hydroelectric Project is a peaking power scheme located in the Cameron Highlands, Malaysia. The main features of the project include an 84 m high roller compacted concrete dam; tw

    Sep 17, 2014

  • AUSIMM
    Inadequate Water Management Planning Resulting in Long-term Closure Liabilities

    By H J. J Boshoff

    Mine closure planning integrated into life-of-mine (LOM) planning during the operational phase consists of many subcategories. One of these subcategories that needs to be fully integrated into the LOM

    Jul 16, 2014

  • AUSIMM
    A case study: how being ‘aware of now’ is making work safer at Telfer underground

    By S B. Fitch, S A. Wilson, A J. R Barr, P R. Searle

    Improving the safety culture and performance of any operation is a fundamental goal of every mine operator. Methods of implementing, or changing a culture have developed from the early methods of oper

    Mar 15, 2021

  • AUSIMM
    Alteration and Mineralisation in the Busang Gold Prospect, East Kalimantan, Indonesia

    Core samples, which were collected by the author from the Busang prospect, East Kalimantan, reflect a progressive evolution of a large magmatic-related hydrothermal system that is comparable to that e

    Jan 1, 2002

  • AUSIMM
    Testing and quantifying geological uncertainty (or a gram of drill data is worth a kilogram of geological interpretation)

    By M P. Murphy, C M. D Barton

    When developing a new underground mine, the geological interpretation that guides the mineral resource is crucial to the preparation of a reliable ore reserve. In preparing a robust geological model t

    May 24, 2023

  • AUSIMM
    Detecting Sampling Biases in Metal Accounting

    By L Lachance, F Flament, D Leroux, S Gariépy

    The pervasiveness of poor sampling practices in and around mineral processing plants could seem intriguing in view of the various documented evidences both for causes and consequences. To this extent,

    Jul 29, 2014

  • AUSIMM
    Measured Resources and Proven Reserves – Are they still Relevant?

    By S Juras

    The terms measured resources and proven reserves denote the highest level of estimation confidence in all of the major classification schemes. But what do they really bring to today’s project or mine

    Aug 22, 2011