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Mining, Oil, Gas & Geothermal September 2026 Surabaya

The Dirty Ton Problem

The Dirty Ton Problem

OVERVIEW

Dalam operasi pertambangan, setiap ton material memiliki kontribusi terhadap nilai ekonomi tambang. Ketidaksesuaian kualitas material dapat menciptakan biaya tersembunyi melalui rendahnya grade, meningkatnya processing cost, penurunan recovery, serta ketidaksesuaian antara mine plan dengan realisasi produksi. Peserta akan mempelajari material classification, grade control, dilution, ore loss, misrouting, stockpile management, dan reconciliation, hingga strategi menghasilkan cleaner tonnes dengan kualitas yang lebih konsisten.

TUJUAN

Setelah mengikuti pelatihan ini, peserta diharapkan mampu:

1. Memahami konsep dirty ton dan dampaknya terhadap nilai produksi.
2. Mengidentifikasi sumber kontaminasi dan ketidaksesuaian material.
3. Menganalisis hubungan antara dilution, ore loss, dan dirty ton.
4. Meningkatkan efektivitas grade control dan material classification.
5. Mengendalikan material movement dari pit hingga processing.
6. Mengurangi misrouting dan pencampuran ore dengan waste.
7. Memperkuat reconciliation antara mine, stockpile, dan processing plant.
8. Menyusun strategi peningkatan kualitas dan value recovery dari setiap ton material.

MATERI

1. The Dirty Ton Fundamentals

• Definisi dirty ton.
• Clean ton vs dirty ton.
• Penyebab material contamination.
• Dirty ton dalam mining value chain.
• Dampak terhadap mine economics.

2. Material Quality Intelligence

• Ore characteristics.
• Grade dan quality parameters.
• Material classification.
• Ore-waste boundary.
• Specification compliance.

3. Grade Control & Dirty Ton Detection

• Grade control strategy.
• Sampling dan assay.
• Boundary control.
• Identification of anomalous material.
• Quality control dalam grade determination.

4. Dilution & Contamination Forensics

• Planned vs unplanned dilution.
• Waste contamination.
• Overbreak dan underbreak.
• Ore movement.
• Root cause of contamination.

5. Ore Loss & Dirty Ton Connection

• Ore loss mechanisms.
• Misclassification.
• Ore left behind.
• Loss vs contamination trade-off.
• Optimizing ore recovery.

6. Loading & Hauling Material Control

• Excavator selectivity.
• Bucket contamination.
• Truck loading accuracy.
• Material identification.
• Dispatch control.

7. Material Routing & Destination Control

• Ore routing.
• Waste routing.
• Misrouting detection.
• Dispatch system.
• Real-time material accountability.

8. Stockpile & Blending Intelligence

• Stockpile segregation.
• Grade control in stockpiles.
• Blending strategy.
• Reclaiming control.
• Preventing quality degradation.

9. Mine-To-Mill Quality Reconciliation

• Mine production vs plant feed.
• Grade reconciliation.
• Tonnage reconciliation.
• Recovery analysis.
• Identifying hidden quality losses.

10. Dirty Ton Data Forensics

• Production data analysis.
• Material tracking.
• Variance identification.
• Data triangulation.
• Dirty ton hotspot mapping.

11. Economic Impact Of Dirty Tons

• Grade dilution impact.
• Processing cost impact.
• Recovery impact.
• Revenue loss estimation.
• Hidden value leakage.

12. The Clean Ton Blueprint

• Dirty ton reduction strategy.
• Critical control points.
• Quality KPI dan dashboard.
• Continuous material improvement.
• Penyusunan Clean Ton Recovery Roadmap.

Form Pre-Registrasi

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