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Phenomenological Modelling of Industrial Heap and Dump Bioleaching

机译:工业堆的现象造型和倾倒生物浸涂

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Heap and dump bioleaching are operational units with physical, chemical, mineralogical and microbiological processes, which are interconnected at different scales. Consequently, in the search to understand and optimize these processes it is impossible to approach intuitively and therefore, it is necessary to systematically integrate knowledge by means of phenomenological modelling. During several years, BioSigma has developed a phenomenological model that accurately predicts the performance of its technologies applied in the bioleaching of heaps and dumps, in terms of copper recovery and other important biohydrometallurgical parameters such as acid consumption and iron recovery. The model is one-dimensional in liquid and gas flow, and includes kinetic laws for primary and secondary sulphides, copper oxides, pyrite and gangue minerals. The model also includes transport of ionic species and microorganisms, chemical speciation, attachment/detachment and growth of iron- and sulphur-oxidizing microorganisms, oxygen balances in liquid and gas phases and heat conservation. The model allows the user to find reaction parameters by means of automatic calibration with experimental results. The heap bioleaching model was successfully calibrated and validated using experimental data from tests made in columns and heaps, and it is capable of reproduce and predicts the most important process variables. The model is currently used industrially to assess heap/dump bioleaching performance on different industrial projects and scenarios, including the effect of mineralogy, particle size distribution, irrigation rate, microbial addition, heap height, aeration rate, temperature of the irrigated solution, and the application of anti-evaporation film among others. In conclusion, BioSigma have developed a state of the art tool which is available to be used by the industry to improve copper extraction operations.
机译:堆和倾卸生物浸入是具有物理,化学,矿物学和微生物过程的操作单元,其在不同的尺度上互连。因此,在寻求理解和优化这些过程中,不可能直观地接近,因此,必须通过现象学建模系统地整合知识。在几年期间,BioSigma开发了一种现象学模型,可在铜回收和其他重要的生物素冶金参数(如酸消耗和铁恢复)方面准确地预测其在堆和倾料的生物浸出中应用的技术的性能。该模型在液体和气体流动中是一维,包括用于初级和仲硫化物,氧化铜,硫铁矿和甘蓝矿物的动力学定律。该模型还包括离子物质和微生物,化学品种,附着/脱离和铁 - 硫氧化微生物的脱离,液态和气体阶段的氧气平衡以及热保守。该模型允许用户通过实验结果自动校准找到反应参数。堆生物浸出模型已成功校准并使用从列和堆中的测试中的实验数据进行验证,并且它能够再现并预测最重要的过程变量。该模型目前在工业上使用,以评估不同工业项目和情景的堆/倾倒生物展实性能,包括矿物学,粒度分布,灌溉率,微生物加法,堆高度,灌溉溶液温度的影响,以及灌溉溶液的影响抗蒸发膜在其他中的应用。总之,BioSigma开发了一种最先进的工具,该工具可用于工业用来改善铜提取操作。

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