Prospect to Portfolio: Advanced Exploration Risk, Portfolio Valuation & Strategic Decision Analysis
From $5250 per attendee
Email Course Course PDFCourse Information
- Course Content
- Course Description
- Course Objectives
- Who Should Attend
- CPD Unit
Course Content
Day 1: Modern Exploration Strategy & Prospect Generation
• Petroleum systems and play fairway analysis
• Digital exploration workflows
• Prospect maturation
• Exploration uncertainty
• Volumetrics
• Introduction to probabilistic thinking
• Industry case study
Day 2: Advanced Exploration Risking & Resource Assessment
• Chance of success methodology
• Trap, reservoir, charge, seal and timing
• Monte Carlo simulation
• Resource distributions
• Play aggregation
• Common risking biases
• Workshop
Day 3: Commercial Evaluation & Value Creation
• Volumes to value
• Cash flow modelling
• EMV
• Economic indicators
• Price and fiscal sensitivity
• Carbon considerations
• Prospect ranking
Day 4: Strategic Decision Analysis & Portfolio Optimisation
• Decision trees
• Bayesian updating
• Value of Information
• Scenario planning
• Capital allocation
• Portfolio optimisation
• AI-assisted decision support
Day 5: Integrated Prospect-to-Portfolio Masterclass
• Multi-disciplinary team exercise
• Integrated technical-commercial evaluation
• Risk-reward balancing
• ESG and stakeholder considerations
• Executive presentations
• Best practices and lessons learned
Course Description
Prospect to Portfolio: Advanced Exploration Risk, Portfolio Valuation & Strategic Decision Analysis Course
This intensive 5-day programme equips exploration and asset teams with the technical, commercial and strategic tools required to transform exploration opportunities into value-creating portfolios. Participants will integrate subsurface evaluation, geological risking, probabilistic resource assessment, economic valuation, portfolio optimisation and modern decision-analysis techniques. The course incorporates Monte Carlo simulation, Bayesian updating, EMV, Value of Information, scenario planning, ESG considerations and AI-enabled exploration workflows through practical industry case studies.
Course Objectives
• Evaluate plays and prospects using industry best practices.
• Quantify geological and commercial uncertainty.
• Estimate resources using deterministic and probabilistic methods.
• Apply Monte Carlo, EMV and sensitivity analysis.
• Use decision trees, Bayesian methods and Value of Information.
• Optimise exploration portfolios under capital constraints.
• Integrate ESG, energy transition and strategic factors.
• Communicate exploration recommendations to management.
Who Should Attend
Exploration Geoscientists, Reservoir Engineers, Petroleum Economists, Exploration Managers, Asset Managers, Business Development Professionals, Commercial Analysts, New Venture Teams, Government Regulators and Investment Professionals.
CPD Unit
Continuing Professional Development
35 HOURS CPD