首页> 外文会议>The First AusIMM International Geometallurgy Conference 2011. >Development of a Predictive Geometallurgical Recovery Model for the La Colosa, Porphyry Gold Deposit, Colombia
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Development of a Predictive Geometallurgical Recovery Model for the La Colosa, Porphyry Gold Deposit, Colombia

机译:哥伦比亚斑岩型金矿La Colosa的预测地质冶金恢复模型的开发

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摘要

La Colosa, Colombia is a large gold-porphyry deposit currently undergoing feasibility studiesrnby AngloGold Ashanti. This period of development allows the opportunity to apply innovativernand emerging testing and modelling methods to provide a predictive geometallurgical recoveryrnmodel for the deposit. By partnering with the AMIRA P843A Geometallurgical Mapping and MinernModelling (GeMIII) research project, the geological and mineralogical data are analysed with respectrnto liberation and recovery methods. This will allow the variability in the geology and mineralogyrnof the deposit and key relationships recognised in the data to be included in the development ofrna model to help predict recoveries of the gold. Many aspects of the gold mineralisation such asrngold paragenesis, associations, grain size and texture are determined and analysed using opticalrnmicroscopy, Mineral Liberation Analysis (MLA), and laser ablation (LA-ICP-MS). At La Colosa therngold has been located in sulfi des (eg pyrite, pyrrhotite, and chalcopyrite), silicates, along silicaternphase boundaries, and among the pyrite-rich intermediate argillic alteration. Further testing andrnanalysis will also determine if ‘invisible’ gold is present in the pyrite, pyrrhotite, and chalcopyrite.rnRecovery methods can also be determined and tested after combining the results of mineralogyrntests with other data (eg results of comminution tests). Indices for the mineralisation and recoveryrnare developed using image analysis and analytical testing. These indices are correlated withrnrecovery data from the company to develop a predictive block model for recovery. The goal is torndevelop cost-effective, effi cient methods to analyse the mineralogy and geology of the deposit;rnunderstand the variability in the mineralogy, geology, and recovery; and construct a predictiverngeometallurgical recovery model.
机译:哥伦比亚的La Colosa是大型金斑岩矿床,目前由AngloGold Ashanti进行可行性研究。在这一发展时期,有机会应用创新和新兴的测试与建模方法,为矿床提供可预测的地质冶金采收率模型。通过与AMIRA P843A地质冶金测绘和矿物模型(GeMIII)研究项目的合作,就解放和恢复方法对地质和矿物数据进行了分析。这将使地质学和矿物学的变化以及矿床和数据中公认的关键关系的变化纳入rna模型的开发中,以帮助预测金的回收率。使用光学显微镜,矿物解放分析(MLA)和激光烧蚀(LA-ICP-MS)确定并分析了金矿化的许多方面,例如金矿共生,缔合,晶粒大小和织构。在拉科洛萨(La Colosa),特伦戈德(thrngold)沿着硅酸盐期边界位于富硫矿(例如黄铁矿,黄铁矿和黄铜矿),硅酸盐中,并且在富黄铁矿的中间泥质蚀变中。进一步的测试和分析还将确定黄铁矿,黄铁矿和黄铜矿中是否存在“不可见”的金。结合矿物学测试结果和其他数据(例如粉碎测试结果)后,还可以确定和测试回收方法。利用图像分析和分析测试来开发矿化和回收指标。这些指标与公司的回收数据相关联,以开发预测性区块模型进行回收。目的是撕裂开发经济有效的方法来分析矿床的矿物学和地质学;了解矿物学,地质学和回收率的可变性;并建立了预测性的冶金冶金恢复模型。

著录项

  • 来源
  • 会议地点 Brisbane(AU);Brisbane(AU)
  • 作者单位

    CODES/University of Tasmania/AngloGold Ashanti, PO Box 191, Victor CO 80863, USA. Email: sleichliter@anglogoldashantina.com;

    CODES/University of Tasmania, Private Bag 126, Hobart Tas 7001. Email: Julie.Hunt@utas.edu.au;

    CODES/University of Tasmania, Private Bag 126, Hobart Tas 7001. Email: berry@postoffi ce.utas.edu.au;

    JKMRC, The University of Queensland, Brisbane Qld 4072. Email: l.keeney@uq.edu.au;

    JKMRC/AngloGold Ashanti Colombia, Calle 114 No 9-01 Torre A, Ofi cina 1206 Bogota, Colombia. Email: pmontoya@anglogoldashanti.com;

    Geosciences, AngloGold Ashanti Limited, PO Box 62117, Marshalltown Johannesburg 2107, South Africa. Email: vchamberlain@anglogoldashanti.com;

    AngloGold Ashanti Colombia, Calle 114 No 9-01 Torre A, Ofi cina 1206 Bogota, Colombia. Email: rjahoda@anglogoldashanti.com;

    AngloGold Ashanti Colombia, Calle 114 No 9-01 Torre A, Ofi cina 1206 Bogota, Colombia. Email: udrews@anglogoldashanti.com;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 微生物冶金;微生物冶金;
  • 关键词

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