首页> 外文会议>The First AusIMM International Geometallurgy Conference 2011. >Use of Geometallurgy to Predict Tailings Leach Acid Consumption at Olympic Dam
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Use of Geometallurgy to Predict Tailings Leach Acid Consumption at Olympic Dam

机译:地质冶金学预测大坝尾矿浸酸消耗量

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摘要

For any processing plant there will be deleterious elements or minerals which affect production orrnquality, and a strategy to predict their occurrence and mitigate their impact is required. An earlyrnobjective of the Olympic Dam geometallurgy program was prediction of the acid consumptionrnand gelling behaviour of the ore, which affects leach recovery, throughput and circuit availability.rnThe geometallurgical test program measured the response of a wide range of ore types, and thenrnrelationships between mineralogy, metallurgy and chemistry were developed. Thus the drivers ofrnacid consumption and triggers for gelling events could be described in ways that were meaningfulrnto plant operations.rnTo enable optimisation of the mine planning and ore blending processes, the parameters drivingrnmetallurgical response must be translated to the block model. Data support is critical in populatingrna block model. Assay information is easily obtained, but mineralogical and metallurgicalrninformation is more expensive and time consuming to collect. Hence population of a block modelrnwith mineralogical and metallurgical values using a conventional geostatistical approach is notrnalways possible.rnAn alternative approach employed at Olympic Dam was the development of a suite of assay-tomineralrnalgorithms. These algorithms were calibrated using all available mineralogical information,rnand this enabled the calculation of mineral abundances for more than 1.5 million assayed samples.rnEstimation of the minerals in the block model, and the generation of acid consumption values forrneach block could subsequently occur.rnThe use of back-calculated mineralogy from assays as part of process model generation is anrninnovative tool which can be used for mine planning and optimisation and to ensure the plantrndoes not receive any unwelcome surprises. Ultimately, one purpose of geometallurgy is to predictrnpotential processing issues and their drivers so that these can be mitigated. A strategy to achievernthis is outlined hereafter.
机译:对于任何加工厂,都会有有害元素或矿物质影响生产质量,因此需要一种策略来预测它们的发生并减轻其影响。奥林匹克大坝地质冶金计划的一个早期目标是预测矿石的酸消耗和胶凝行为,这会影响浸出回收率,产量和回路利用率。地质冶金测试计划测量了各种矿石类型的响应,然后测量了矿物学之间的关系,开发了冶金和化学。因此,可以以对工厂运营有意义的方式描述酸消耗的驱动因素和胶凝事件的触发因素。为了使矿山计划和矿石混合过程最优化,必须将驱动冶金反应的参数转换为块模型。数据支持在填充模块模型中至关重要。化验信息很容易获得,但是矿物学和冶金学信息收集起来更昂贵且耗时。因此,不可能总是使用常规的地统计方法来填充具有矿物学和冶金学价值的块模型。奥林匹克大坝采用的另一种方法是开发一套化验矿物学算法。这些算法已使用所有可用的矿物学信息进行了校准,从而能够计算超过150万个被测样品的矿物丰度.rn估算区块模型中的矿物,随后可能会生成每个区块的酸消耗值.rn作为过程模型生成一部分的来自测定的反算矿物学是一种创新工具,可用于矿山计划和优化,并确保工厂不会收到任何不受欢迎的惊喜。最终,地质冶金学的一个目的是预测潜在的加工问题及其驱动因素,以便可以缓解这些问题。下文概述了实现这一目标的策略。

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

    BHP Billiton, 55 Grenfell Street, Adelaide SA 5000. Email: edeltraud.macmillan@bhpbilliton.com;

    BHP Billiton, 55 Grenfell Street, Adelaide SA 5000. Email: kathy.ehrig@bhpbilliton.com;

    BHP Billiton, 55 Grenfell Street, Adelaide SA 5000. Email: vanessa.liebezeit@bhpbilliton.com;

    BHP Billiton, 55 Grenfell Street, Adelaide SA 5000. Email: paul.kittler@bhpbilliton.com;

    BHP Billiton, 55 Grenfell Street, Adelaide SA 5000. Email: chantelle.lower@bhpbilliton.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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