Data reconciliation of mineral liberation distributions
Since several decades, most measurements in mineral processing plants have been reconciled to improve their accuracy and validity. However, existing methods cannot simultaneously reconcile mineral grades, liberation distributions, and elemental assays. This work proposes a multilinear framework for reconciling measurements from an industrial flotation cell, including particles flowrates, solids fractions, particle size distributions, elemental and mineralogical assays, and mineral liberation distributions for complex lithologies. Results demonstrate improved reliability of performance indicators, such as recovery, by enforcing mass balance equations. A limited amount of minerals are considered by iterating on the gangue elemental composition, thus greatly reducing the problem size.
Authors
- Raphaël Mermillod-Blondin
- David-Alexandre Desrosiers
- Éric Poulin
- Jocelyn Bouchard
- Hassan Bouzahzah
Institutions
- University of Liège (BE)
- Laboratoire de Génie Électrique et Électronique de Paris (FR)
- Agnico Eagle (Canada) (CA)
- Laboratoire de Génie Chimique (FR)
- Département d'Informatique (FR)
- Université Laval (CA)
Publication Details
- Journal
- IFAC-PapersOnLine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ifacol.2025.12.402
- Primary Topic
- Mineral Processing and Grinding
- Type
- article
- Field-Weighted Citation Impact
- 0.00