In looking to the future of mineral processing the focus is typically on improved processing units. Basically it is a search for an elusive wonder machine that could revolutionise the economy of mining: the sorter that strips 50% of the ore with only a few % loss of value; the comminution device that uses 5% of the energy while producing fully liberated particles; or the recovery device capable of producing a 99% recovery at 99% grade. These aspirations are propounded against a reality backdrop of sorters rusting in back yards, mill throughputs below design and varying by 30%, cyclones flaring and cut-sizes fluctuating, mediocre recoveries and soaring processing costs. This disconnect between aspiration and reality appears, to these authors at least, to be a mighty chasm. Moreover, it remains one over which we are expected to magically leap rather than methodically bridge. Indeed one may be forgiven for thinking that should such a wonder machine come along, taking advantage of it would be highly improbable. Questions would inevitably emerge on how to feed the correct material, how to cope with the wide variability of feeds, how to control such advanced equipment and how to handle the new product from such a machine. It is likely these questions might lie unanswered, or more regrettably, unasked. It is generally accepted that as an industry we are exceedingly unlikely to teleport from the current status quo to an entirely new reality in a single flash. It is our thesis that the probability of these magical machines materialising is remote, and even if they miraculously appeared, we simply wouldn?t know what to do with them. Rather, it is our contention, that a step change will only arise through a staircase rather than from a single giant leap. We should focus on building those steps and linking them together into a firm structure ? a workable mineral processing circuit. This paper addresses the alternative of a coherent set of modest but significant improvements, integrated to produce the step change we desire: essentially, a reduction of processing energy to below 40%, which we believe is achievable without recourse to any mystical machines. A key underlying capability to designing these dramatically improved processes, is the weaving of independent process models into a coherent circuit simulation, in order to design the new generation of mineral processing circuits. Keywords: step change, circuit design, circuit simulation, energy reduction
Acid Mine Drainage (AMD), high acid water containing heavy metals discharged from mines, has been recognized as major cause of mine pollution. In Japan, the government spends billions of yen every year to prevent pollution caused by AMD in about 80 abandoned mines. It is widely recognized that the treatment could continue for long decades or an even century. However, costs and environmental loads are uncertain during the treatment because a predictive model for the quality of AMD, the dosage of neutralizer, and the amount of sludge that is applicable for abandoned mines with limited data has not yet been established. In this study, a two-steps predictive model for solution composition and neutralization chemical requirements of AMD in future was constructed based on the geochemical modeling. Requisite input data of the model was the past historical water quality data from AMD monitoring, such as metal concentration and pH in the solution, instead of the sample rocks as other conventional prediction methods. In the first step, solution composition of AMD in the future was extrapolated from the available historical data using geochemical simulation considering the first order kinetics for the mineral dissolution. In the second step, neutralizer dosage and sludge generation in the future was predicted based on the geochemical simulation supposing the chemical equilibrium and oxidation state for all of elements in the solution. Based on case studies of two abandoned mines in Japan, solution composition, neutralizer dosage and sludge generation were estimated. The results of this study demonstrate the effectiveness of our model for the prediction of AMD quality and chemical requirements of neutralization treatment after mine closing. The model is useful for the estimation of the neutralizer dosage and the sludge volume in abandoned mines with limited data. Keywords: acid mine drainage, predictive model, geochemical modeling, first order kinetics, water monitoring
Step Change ? A Staircase Rather Than A Giant Leap