Koucham, M’hamed, Ait-Khouia, Yassine, Soulaimani, Saâd, El-Adnani, Mariam, Khalil, Abdessamad (2024) 3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources. Minerals, 14 (9). doi:10.3390/min14090893
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | 3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources | ||
| Journal | Minerals | ||
| Authors | Koucham, M’hamed | Author | |
| Ait-Khouia, Yassine | Author | ||
| Soulaimani, Saâd | Author | ||
| El-Adnani, Mariam | Author | ||
| Khalil, Abdessamad | Author | ||
| Year | 2024 | Volume | < 14 > |
| Issue | < 9 > | ||
| URL | |||
| DOI | doi:10.3390/min14090893Search in ResearchGate | ||
| Generate Citation Formats | |||
| Classification | Not set | LoC | Not set |
| Mindat Ref. ID | 17563910 | Long-form Identifier | mindat:1:5:17563910:8 |
| GUID | 0 | ||
| Full Reference | Koucham, M’hamed, Ait-Khouia, Yassine, Soulaimani, Saâd, El-Adnani, Mariam, Khalil, Abdessamad (2024) 3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources. Minerals, 14 (9). doi:10.3390/min14090893 | ||
| Plain Text | Koucham, M’hamed, Ait-Khouia, Yassine, Soulaimani, Saâd, El-Adnani, Mariam, Khalil, Abdessamad (2024) 3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources. Minerals, 14 (9). doi:10.3390/min14090893 | ||
| In | Link this record to the correct parent record (if possible) | ||
| Abstract/Notes | The management of mine tailings presents a global challenge. Re-mining these tailings to recover remaining metals could play a crucial role in reducing the volume of stored tailings, as historical mining methods were less efficient than those used today. Consequently, mine wastes have the potential to become unconventional resources for critical minerals. To assess this potential, critical minerals and metals in the mine tailings were investigated through sampling, characterization, and 3D geostatistical modeling. The Bleïda copper mine tailings in Morocco were modeled, and residual copper resources were estimated using ordinary kriging (OK). Tailings were systematically sampled at a depth of 1.8 m using a triangular grid and tubing method. The metallic and mineralogical content of the samples was analyzed, and a numerical 3D model of the tailing’s facility was created using topographic drone surveys, geochemical data, and geostatistical modeling. The results from the 3D block model of the Bleïda tailings facility reveal that the volume of deposited tailings is 3.73 million cubic meters (mm3), equivalent to 4.85 million tonnes (Mt). Furthermore, based on the average copper grade ( 0.3% by weight) in the studied part of the tailings pond, the copper resources are estimated at 2760 tonnes. Mineralogical characterization indicates that this metallic content is mainly associated with sulfide and carbonate minerals, which exhibit a low degree of liberation. This study aims to serve as a reference for assessing the reprocessing feasibility of tailings in both abandoned and active mines, thereby contributing to the sustainable management of mine tailings facilities. Geostatistical modeling has proven effective in producing tonnage estimates for tailings storage facilities and should be adopted by the industry to reduce the technical and financial uncertainties associated with re-mining. | ||
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