Study guide
18.2 Geological Modeling, Mine Planning, Scheduling & Valuation Software
PRC Mining Engineer Licensure Examination Philippines
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1 Chapter 1: Surface Mining Methods & Pit Optimization
1.1 Surface Mining Unit Operations & Method Selection 1.2 Bench Geometry, Slope Stability & Geotechnical Pit Design 1.3 Cut-Off Grade Optimization & Lerchs-Grossmann Pit Limits
2 Chapter 2: Underground Mining Methods & Strata Control
2.1 Underground Mining Method Classification & Selection 2.2 Rock Mechanics, Stress Analysis & Strata Control 2.3 Underground Ground Support Systems & Excavation Design
3 Chapter 3: Materials Handling, Equipment & Mine Economics
3.1 Drilling, Blasting & Explosives Engineering 3.2 Mine Loading, Haulage & Materials Handling Systems 3.3 Mine Capital (CAPEX), Operating Costs (OPEX) & Financial Evaluation
4 Chapter 4: Mine Safety, Ventilation & Philippine Mining Laws
4.1 Mine Ventilation Network Analysis & Environmental Quality 4.2 Philippine Mine Safety Rules, Health & Disaster Prevention 4.3 Philippine Mining Act of 1995 (RA 7942), DAO 2010-21 & Mining Ethics
5 Chapter 5: Physical Geology, Mineralogy & Philippine Deposit Types
5.1 Structural Geology, Tectonics & Ore Controls 5.2 Igneous, Metamorphic & Sedimentary Ore Mineralogy 5.3 Major Philippine Ore Deposit Models
6 Chapter 6: Mineral Exploration, Geophysics & Core Logging
6.1 Geochemical & Remote Sensing Exploration Techniques 6.2 Geophysical Exploration Methods in Mining Geology 6.3 Diamond Drilling, Core Logging & QA/QC Protocols
7 Chapter 7: Geostatistics, Resource Estimation & PMRC Code
7.1 Ore Body Block Modeling & Spatial Variography 7.2 Inverse Distance & Ordinary Kriging Grade Estimation 7.3 Philippine Mineral Reporting Code (PMRC 2020) & Resource Classification
8 Chapter 8: Comminution, Sizing & Physical Mineral Separation
8.1 Crushing, Grinding & Bond Work Index Calculations 8.2 Particle Screening, Hydrocyclone Classification & Sizing 8.3 Gravity Concentration & Magnetic/Electrostatic Separation
9 Chapter 9: Froth Flotation & Extractive Hydrometallurgy
9.1 Froth Flotation Chemistry, Reagents & Cell Kinetics 9.2 Leaching Technologies (Heap, Agitation & Tank) 9.3 Precious Metal Recovery: CIP, CIL, Merrill-Crowe & Electrowinning
10 Chapter 10: Process Plant Flowsheets & Environmental Tailings Management
10.1 Metallurgical Plant Flowsheets & Pulp Mass Balances 10.2 Tailings Storage Facility (TSF) Design & Dam Safety 10.3 Acid Mine Drainage (AMD) Mitigation & Environmental Protection (EPEP/FMR/DP)
11 Chapter 11: 2025 PRC Blueprint, Prospecting Tools & Exploration Decisions
11.1 Official 2025 TOS, Three-Paper Structure & Exam Strategy 11.2 Prospecting Instruments, Base Maps & Surface Geological Mapping 11.3 Integrating Direct and Indirect Evidence for Exploration Decisions
12 Chapter 12: Mine Infrastructure, Sustainable Development & Climate
12.1 Power, Water, Drainage & Support-Facility Selection 12.2 Sustainable Development, Progressive Rehabilitation & Community Impact 12.3 Mining, Climate, Reforestation, Coal & Energy-Transition Minerals
13 Chapter 13: Mine Valuation, Financial Analysis & Due Diligence
13.1 Time Value of Money, Future Value & Present Value 13.2 Financial Statements, Mine Economics & External Price Drivers 13.3 Exploration Provenance, Technical Review & Legal Due Diligence
14 Chapter 14: Mine Organization, Communication & Accountable Leadership
14.1 Line and Staff Functions in a Mining Organization 14.2 Communication With Superiors, Peers & Subordinates 14.3 Authority, Responsibility, Delegation & Safety Accountability
15 Chapter 15: Philippine Mining Law, Indigenous Rights & Professional Ethics
15.1 Legal Hierarchy, Mineral Tenure & Compliance Analysis 15.2 Constitutional Participation, IPRA, FPIC & Ancestral Domains 15.3 RA 4274, Professional Scope, Ethics & Document Integrity
16 Chapter 16: Applied Mathematics & Mine Surveying
16.1 Engineering Mathematics for Safe, Efficient Mine Decisions 16.2 Survey Control, Instruments, Traverses & Error Adjustment 16.3 Topographic Maps, Underground Set-Out & Survey Timeliness
17 Chapter 17: Feasibility Studies, Data Quality & Project Decisions
17.1 Scoping, Pre-Feasibility & Final Feasibility Study Maturity 17.2 Data Accuracy, Assumption Control & Go/No-Go Decisions 17.3 Multidisciplinary Integration, Interfaces & Independent Review
18 Chapter 18: Mining Computer Applications, Digital Control & Global Developments
18.1 Computer Functions, Office Applications & Data Governance 18.2 Geological Modeling, Mine Planning, Scheduling & Valuation Software 18.3 Real-Time Control, Critical Minerals & Regional Mining Developments
19 Chapter 19: Earth Systems, Geologic Time & Philippine Hazards
19.1 Solar-System Origin, Earth Interior & Atmospheric Layers 19.2 Rock Cycle, Landforms & the Geologic Time Scale 19.3 Philippine Tectonics, Geologic Hazards & Mitigation
20 Chapter 20: Metallurgy, Foundry Practice & Assaying
20.1 Extractive, Physical & Adaptive Metallurgy Principles 20.2 Foundry Materials, Casting, Solidification & Defects 20.3 Sampling, Fire Assay, Cupellation, Parting & Assay Calculations
21 Chapter 21: Solid–Liquid Separation, Environmental Law & Mine Ecology
21.1 Thickening, Filtration & Solid–Liquid Separation 21.2 Philippine Air, Water, Waste & Hazardous-Substance Controls 21.3 Mine Ecology, Closure, Tailings, Waste & Community Livelihood
18.2 Geological Modeling, Mine Planning, Scheduling & Valuation Software
Key Takeaways Explain This Topic AI
Geological software integrates collars, surveys, logs, assays, density, surfaces, wireframes, block models, and uncertainty; coordinate and interval validation precede modeling.
Mine-design software applies geometry and geotechnical constraints, while scheduling software sequences activities under capacity, precedence, access, blending, and resource limits.
Valuation software converts physical schedules into revenue, cost, tax, capital, and discounted cash flow; it cannot repair unsupported geology or an infeasible schedule.
A model is validated through source reconciliation, visual and statistical checks, independent calculations, sensitivity, version control, peer review, and operational reconciliation.
Software selection considers deposit and method, required algorithms, data exchange, scale, auditability, support, competence, cybersecurity, licensing, and life-cycle ownership.
Last updated: August 2026
Mining software links evidence to design and value. The workflow is only as reliable as its weakest transformation. Each export can change coordinates, units, fields, precision, classification, or naming, so interfaces are controlled and reconciled.
Exploration Database and Geological Model
Load and validate collars, downhole surveys, lithology, alteration, structure, samples, assays, density, recovery, and QA/QC. Checks include duplicate collars, negative depths, interval overlap or gap, assays beyond end of hole, impossible grades, missing density, coordinate bounds, and survey deviation.
Interpret domains using geology rather than grade alone. Build surfaces and wireframes with topological checks for self-intersection, gaps, and invalid solids. Composite samples within domains, evaluate distribution and outliers, model spatial continuity, estimate blocks with an appropriate method, and validate globally, locally, visually, and statistically. Classification reflects confidence, not color preference.
Mine Design
For an open pit, software can generate pit shells, phase designs, benches, berms, ramps, dumps, haul profiles, and quantities. An optimized shell is not an operational design: access, minimum mining width, drainage, geotechnical sectors, blending, equipment, and phase interaction remain.
For underground work, tools design declines, shafts, levels, stopes, pillars, raises, ventilation connections, development and fill. Automated stope shapes must be checked against geotechnical spans, minimum width, dilution, recovery, access, sequence, and neighboring voids.
Scheduling
A schedule assigns activities through time under constraints:
- predecessor and access logic;
- equipment and crew capacity;
- development and production rates;
- plant feed and blending;
- ventilation, backfill and dewatering;
- stockpile reclaim and material destinations;
- maintenance calendars and ramp-up; and
environmental, permit and community conditions.
A schedule that draws ore before development or exceeds a hoist, crusher, fill plant, or tailings limit is mathematically output but operationally infeasible.
Valuation and Optimization
Valuation attaches prices, recoveries, payabilities, royalties, taxes, operating cost, capital, working capital, closure, and discounting to the physical schedule. Pit optimization may use revenue factors and maximum-closure algorithms; production scheduling may optimize NPV under capacity constraints. Review objective function and constraints. Maximizing undiscounted value, NPV, metal, or utilization produces different schedules.
Validation Ladder
Input: reconcile source counts, totals, units, coordinate range, versions.
Transformation: inspect domains, coding, compositing, dilution, recovery, and destination logic.
Output: reconcile tonnes, grade, metal, waste, development, capacity, and cash.
Independent check: reproduce selected volume, block value, stope, or cash-flow calculation outside the model.
Sensitivity: vary material assumptions and constraints.
Peer review: competent person challenges method and evidence.
Reconciliation: compare short-term model and schedule with survey, production, plant, and actual cost.
A model can pass global tonnage reconciliation yet misplace high grade locally. Use swath plots, nearest-neighbor comparison, section inspection, and production reconciliation.
Interoperability and Version Control
Declare coordinate system and units in every exchange. Use controlled field dictionaries and test a small file before bulk transfer. After export/import, compare record counts, bounding coordinates, tonnes, grade, classifications, and identifiers. Store native and exchange files with model version, software version, date, author, change reason, and approval.
Software Selection
Assess:
- surface or underground method and deposit geometry;
- estimation, optimization, scheduling, ventilation or geotechnical needs;
- data volume and performance;
- open interfaces and long-term accessibility;
- audit trail and scripting;
- user competence and local support;
- licensing and total cost;
- cybersecurity and cloud/data location; and
validation and regulatory expectations.
Training matters. A powerful optimizer in untrained hands can generate a persuasive but invalid solution faster than a spreadsheet.
Exam Scenario
After importing a block model, scheduled tonnes match the source but average grade is lower. Check field mapping, domain and classification filters, percent-versus-fraction units, density, partial blocks, mining depletion, and destination cut-offs. Do not correct the result by multiplying grade until the transformation error is found.
Operational Reconciliation
Compare forecast with reality at the same support and time scale. Reconcile model tonnes and grade to grade-control estimates, surveyed mining, stockpile movement, plant feed, product, and tailings. Separate spatial error, sampling error, classification, dilution, ore loss, moisture, and inventory timing. A monthly total can reconcile while individual stopes fail systematically. Use the findings to improve the geological and operating process; do not adjust future models solely to force historical agreement.
Algorithm Trap
An optimizer returns the best solution to the objective and constraints supplied. If a ventilation limit, community commitment, ramp capacity, or development precedence is omitted, the “optimal” answer may be impossible. Validate the mathematical formulation before celebrating the objective value.