Lesson 1Environmental and Community Data: Dust Monitoring (PM10/PM2.5), Noise Levels, Truck Traffic Counts, Complaint Logs, Water Management, and Tailings/Erosion ObservationsThis lesson covers environmental and community data collection, including dust levels, noise measurements, truck traffic records, complaint registers, water handling practices, and observations of tailings and erosion. It aids in meeting compliance standards, assessing impacts, and fostering open dialogue with local communities and Brazilian regulatory bodies.
Dust (PM10/PM2.5) and Weather DataNoise Mapping and Blasting RecordsTruck Traffic and Road Safety DataCommunity Complaints and ResponsesWater Balance, Quality, and Tailings ChecksLesson 2Drilling and Blasting Metrics: Fragmentation, Blasthole Accuracy, Powder Factor, and Pit Wall Stability IndicatorsThis lesson discusses drilling and blasting data essential for managing fragmentation, enhancing blasthole precision, optimising powder usage, and ensuring pit wall stability. It connects field data and models to improve loading, hauling, and crushing processes in open pit mining.
Drill Pattern Design and Compliance DataBlasthole Depth, Deviation, and AccuracyFragmentation Size MeasurementPowder Factor Optimisation and CostsBlast Vibration, Flyrock, and Wall DamageLesson 3Cost and Financial Data: Unit Mining Cost Breakdown (Labour, Fuel, Maintenance, Blasting, Contractor Costs), Cost per Ton Mined and Processed, and Cash Flow TimingThis lesson details cost and financial data for open pit mining, covering unit cost breakdowns for labour, fuel, maintenance, blasting, and contractors, along with costs per ton mined and processed, and cash flow schedules. It links operations to budgets, forecasts, and economic assessments.
Cost Centres and Accounts DesignUnit Cost per Ton Mined and ProcessedFuel, Labour, and Maintenance 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 techniques, including grade control sampling, assay variations, moisture assessments, and comparisons of head grade to reconciled grade. It ensures accurate metal tracking and meets regulatory and audit needs in mining operations.
Sampling Protocols and Quality ControlsAssay Variance, Bias, and Precision ChecksMoisture Content and Tonnage AdjustmentsHead Grade vs Reconciled Grade DifferencesMetal Accounting and ReportingLesson 5Haulage and Cycle Time Analysis: Fleet Routes, Empty/Load Times, Fuel Consumption, Tyre Wear, and Haul Distance DistributionsThis lesson outlines haulage and cycle time data for analysing fleet routes, waiting periods, loading and dumping durations, fuel usage, tyre wear, and distance patterns. It supports dispatch improvements and reduces delays and costs in open pit mining.
Cycle Time Breakdown and TimestampsRoute Geometry and Haul ProfilesFuel Consumption by Route and LoadTyre Wear, TKPH, and Road ConditionsQueue Time, Spot Time, and Dispatch RulesLesson 6Equipment Performance Data: Availability, Utilisation, Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), and Productivity by UnitThis lesson focuses on equipment performance metrics for trucks, shovels, drills, and support gear, including availability rates, utilisation levels, MTBF, MTTR, and productivity measures. It enables reliability assessments, maintenance scheduling, and performance comparisons in mining.
Time Categories and Delay CodingAvailability and Utilisation CalculationsMTBF and MTTR 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, such as material movement, tonnage produced, strip ratios, grade control, and plant feed reconciliations. It promotes consistent reporting and alignment with mine plans and financial targets.
Material Movement and Mining Rate TrackingOre, Waste, and Stockpile Tonnage DataStrip Ratio Monitoring and Pit PhasesGrade Control Model vs 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 shows how to organise and review safety and workforce data to identify risks, manage fatigue, enhance training, and match staffing to production needs, while adhering to Brazilian laws and company safety guidelines in mining operations.
TRIF/TRIFR and Severity Rate TrackingNear Miss Capture and Root Cause AnalysisAbsenteeism, Overtime, and Shift PatternsFatigue Risk Indicators and MitigationSafety Training Records and Competency Gaps
