Lesson 1Environmental and Community Data: Dust Monitoring (PM10/PM2.5), Noise Levels, Truck Traffic Counts, Complaint Records, Water Management, and Tailings/Erosion ChecksThis lesson covers environmental and community data collection, including dust levels, noise measurements, traffic tracking, complaint handling, water usage, and tailings observations, to ensure compliance, assess impacts, and foster open dialogue with local communities and Eritrean authorities.
Dust (PM10/PM2.5) and Weather DataNoise Mapping and Blast Impact LogsTruck Traffic Counts and Road Safety InfoCommunity Complaint Records and RepliesWater Balance, Quality, and Tailings ChecksLesson 2Drilling and Blasting Measures: Fragmentation, Blasthole Precision, Powder Factor, and Pit Wall Stability SignsThis lesson discusses drilling and blasting data to manage fragmentation, enhance blasthole accuracy, optimize powder usage, and safeguard pit wall stability, connecting field data and models to loading, hauling, and crushing efficiency.
Drill Pattern Design and Compliance DataBlasthole Depth, Deviation, and Collar PrecisionFragmentation Size Distribution MeasurementPowder Factor Optimization and Cost TrackingBlast Vibration, Flyrock, and Wall Damage DataLesson 3Cost and Financial Data: Unit Mining Cost Breakdown (Labor, Fuel, Maintenance, Blasting, Contractor Costs), Cost per Ton Mined and Processed, and Cash Flow TimingThis lesson outlines cost and financial data for open pit operations, covering unit cost breakdowns, costs per ton mined and processed, and cash flow schedules, relating operational factors to budgets, forecasts, and economic assessments.
Cost Centers and Chart of Accounts DesignUnit Cost per Ton Mined and ProcessedFuel, Labor, and Maintenance Cost DriversBlasting and Contractor Cost TrackingCash Flow Timing and Variance AnalysisLesson 4Production Accounting and Sampling: Grade Control Sampling, Assay Variance, Moisture Measurement, and Head Grade vs Reconciled GradeThis lesson explains production accounting and sampling data, including grade control sampling, assay differences, moisture checks, and head grade compared to reconciled grade, to guarantee accurate metal tracking and meet regulatory and audit standards.
Sampling Protocols and QA/QC ControlsAssay Variance, Bias, and Precision ChecksMoisture Content and Tonnage CorrectionsHead Grade versus Reconciled Grade GapsMetal Accounting Balance and ReportingLesson 5Haulage and Cycle Time Analysis: Fleet Routes, Empty/Load Times, Fuel Use, Tire Wear, and Haul Distance SpreadsThis lesson details haulage and cycle time data to evaluate fleet routes, waiting times, loading and dumping durations, fuel consumption, tire wear, and haul distances, aiding dispatch improvements and reducing delays and costs.
Cycle Time Breakdown and Time StampsRoute Geometry and Haul Distance ProfilesFuel Consumption by Route and PayloadTire Wear, TKPH, and Road Condition DataQueue Time, Spot Time, and Dispatch RulesLesson 6Equipment Performance Data: Availability, Utilization, Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), and Productivity per UnitThis lesson examines equipment performance data for trucks, shovels, drills, and support gear, covering availability, utilization, MTBF, MTTR, and productivity, to enable reliability assessments, maintenance scheduling, and performance comparisons.
Time Categories and Delay Coding StandardsAvailability and Utilization CalculationsMTBF and MTTR Data Collection MethodsComponent Failure Modes and HistoriesUnit Productivity and Benchmark DashboardsLesson 7Key Operational Metrics: Material Movement, Production Tonnage, Strip Ratio, Grade Control, and Plant Feed ReconciliationThis lesson defines core operational metrics for open pit copper-gold mines, including material movement, production volumes, strip ratios, grade control, and plant feed reconciliation, to promote consistent reporting and alignment with mine plans and budgets.
Material Movement and Mining Rate TrackingOre, Waste, and Stockpile Tonnage DataStrip Ratio Monitoring and Pit Phase DataGrade Control Model versus Mined GradesMine-to-Mill Plant Feed ReconciliationLesson 8Safety and Workforce Data: Incident Reports (TRIF/TRIFR), Near Misses, Absenteeism, Overtime, Training Records, and Fatigue IndicatorsThis lesson describes structuring and analyzing safety and workforce data to identify risk patterns, handle fatigue, enhance training, and match staffing to production needs, while adhering to Eritrean regulations and company guidelines.
TRIF/TRIFR and Severity Rate TrackingNear Miss Capture and Root Cause AnalysisAbsenteeism, Overtime, and Shift PatternsFatigue Risk Indicators and Mitigation PlansSafety Training Records and Competency Gaps
