Unlocking Optimal Flotation Outcomes: Leveraging AI to Enhance Phosphate Recovery Through Predictive Modeling - SME Annual Meeting 2025

Society for Mining, Metallurgy & Exploration
Norah AlMuhaisen Aisha AlHarbi Ahmed Alghamdi Owain Morton Salem AlGharbi
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
7
File Size:
2855 KB
Publication Date:
Feb 1, 2025

Abstract

This paper addresses the challenges in optimizing the phosphate flotation process, specifically focusing on the variability in P2O5 recovery. An artificial intelligence (AI) driven Flotation Prediction Model was developed to accurately forecast P2O5 grades. Leveraging real-time data from various operational sources, the model provides insights into how operators can opstimize key flotation parameters to enhance product quality and recovery rates. The results demonstrate the effectiveness of AI predictive modeling in addressing operational variability, marking a crucial step toward intelligent operations in the phosphate flotation process.
Citation

APA: Norah AlMuhaisen Aisha AlHarbi Ahmed Alghamdi Owain Morton Salem AlGharbi  (2025)  Unlocking Optimal Flotation Outcomes: Leveraging AI to Enhance Phosphate Recovery Through Predictive Modeling - SME Annual Meeting 2025

MLA: Norah AlMuhaisen Aisha AlHarbi Ahmed Alghamdi Owain Morton Salem AlGharbi Unlocking Optimal Flotation Outcomes: Leveraging AI to Enhance Phosphate Recovery Through Predictive Modeling - SME Annual Meeting 2025. Society for Mining, Metallurgy & Exploration, 2025.

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