Geological resource management of the future: Drilling down the possibilities
Van Lancker, V.; Van den Eynde, D.; De Mol, L.; De Tré, G.; Van Britsom, D.; De Mol, R.; Missiaen, T.; Hademenos, V.; Maljers, D.; Stafleu, J.; van Heteren, S. (2014). Geological resource management of the future: Drilling down the possibilities, in: Van Rooij, D. et al. (Ed.) Book of Abstracts. 2nd Deep-Water Circulation Congress: The Contourite Log-book. Ghent, Belgium, 10-12 September 2014. VLIZ Special Publication, 69: pp. 135-136
In: Van Rooij, D.; Rüggeberg, A. (Ed.) (2014). Book of Abstracts. 2nd Deep-Water Circulation Congress: The Contourite Log-book. Ghent, Belgium, 10-12 September 2014. VLIZ Special Publication, 69. Ghent University, Department of Geology and Soil Science/Flanders Marine Institute (VLIZ): Oostende. xviii, 152 pp., more
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, more
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Document type: Summary
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| Author keywords |
Sustainable Exploitation; Mining thresholds; 3D Geological Models; 4D Decision Support System; Uncertainty modelling |
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- Van Britsom, D.
- De Mol, R., more
- Missiaen, T., more
- Hademenos, V., more
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- Maljers, D.
- Stafleu, J.
- van Heteren, S.
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| Abstract |
Management of geological resources is based, ideally, on information on the quality and quantity of surface and subsurface litho-stratigraphical properties. Increasingly, these data become available for the offshore realm, though the integration into manageable and user-friendly applications is still at its infancy. Building on expertise from on-land data mining, we are now in the phase of creating 3D voxel models allowing for multi criteria resource volume calculations. The underlying data will be subdued to uncertainty modelling, a necessary step to produce data products with confidence limits. Anticipating on the dynamic nature of the marine environment, we aim at coupling the voxel model to environmental impact models to calculate resource depletion and regeneration, based on geological boundary conditions. In combination with anticipated impacts on fauna and flora, mining thresholds will be defined. All of the information is integrated into a decision support system for easy querying and online visualizations . The main aim is to provide long-term predictions on resource quantities to ensure future developments for the benefit of society and our future generations. |
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