Academic Scope
D5 — Resource Modeling, Production Optimization, and Operational Efficiency
(Data-driven production and resource management)
This sub-session focuses on resource modeling, production optimization, and performance improvement across mining operations. It highlights approaches that utilize geological, operational, and production data to improve resource utilization and operational efficiency.
Topics include resource estimation, production forecasting, operational analytics, performance monitoring, mine-to-mill optimization, and integrated resource management systems. Contributions involving advanced modeling techniques and data-driven decision-making are particularly encouraged.
Session Metadata
Recommended Contributions
Original research, case studies, applied methodological papers, and evidence-based perspectives aligned with the scope of this sub-session.
Author Guidance
Abstracts should be submitted in English (250–300 words), clearly linked to this sub-session code, and should state objective, methodology, key results, and relevance.
Review Fit
Submissions should demonstrate scientific relevance, originality, methodological quality, clarity, and alignment with the session theme.
Fees & Bank Transfer
Use the details below to transfer your registration fee. After transferring, log in and confirm the payment on your submission page — the secretariat will verify the receipt.
- Bank
- ГОЛОМТ
- Account #
47001 500 8115007020- Holder
- ШУТИС ГУУС
- Currency
- USD
