Searched for: author%3A%22van+Duijvenbode%2C+J.R.%22
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van Duijvenbode, J.R. (author)
To extract raw materials responsibly and sustainably, the minerals industry has to continuously optimise the mine-to-metal process and requires an entirely different valuation model. Currently, most operational decisions (e.g., ore-waste boundaries, short-term scheduling, blending policies, dispatch decisions) are evaluated using a revenue-based...
doctoral thesis 2023
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van Duijvenbode, J.R. (author), Soleymani Shishvan, M. (author)
The results of dig limit delineation in open pit mining are never truly optimized due to gaps in the underlying data, such as insufficient sampling. Aside from the data uncertainty, there is also an influence on the final dig limit by either humans or by the heuristic character of an optimization method like simulated annealing. Several dig...
journal article 2022
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van Duijvenbode, J.R. (author), Cloete, Louis M. (author), Soleymani Shishvan, M. (author), Buxton, M.W.N. (author)
Multi-element (ME) datasets provide comprehensive geochemical signatures of an orebody and are commonly used to gain insight into the mineralogy, lithology, alteration patterns and to identify target-pathfinders. However, little effort is made in using these data to explain comminution or recovery characteristics. This paper describes an...
journal article 2022
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van Duijvenbode, J.R. (author), Cloete, Louis M. (author), Soleymani Shishvan, M. (author), Buxton, M.W.N. (author)
Geochemical and mineralogical datasets from Tropicana Gold Mine, Australia, have been used to define Au-mineralised fingerprints. VNIR-SWIR spectral data were represented by four normalised wavelength regions and were clustered to form spectral classes. Sequentially, these spectral class proportions within a block and co-located pXRF data...
journal article 2022
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van Duijvenbode, J.R. (author), Cloete, L. M. (author), Soleymani Shishvan, M. (author), Buxton, M.W.N. (author)
Geochemical and mineralogical datasets from Tropicana Gold Mine, Australia, have been used to define ore fingerprints. VNIR/SWIR spectral data were represented by four normalised wavelength regions and were clustered to form spectral classes. Sequentially, these spectral class proportions within a block and collocated XRF data were clustered to...
conference paper 2021
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van Duijvenbode, J.R. (author), Buxton, M.W.N. (author), Soleymani Shishvan, M. (author)
Material attributes (e.g., chemical composition, mineralogy, texture) are identified as the causative source of variations in the behaviour of mineral processing. That makes them suitable to act as key characteristics to characterise and classify material. Therefore, vast quantities of collected data describing material attributes could help...
journal article 2020
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van Duijvenbode, J.R. (author), Buxton, M.W.N. (author)
Metallurgical attributes are often omitted from the mine to metal valuation models since they are either absent or unreliable. However, recent developments in sensor technology indicate the potential to collect information on metallurgical properties directly or by measurement of proxies. Integrating this information back into the resource model...
conference paper 2019
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