Prospect to Portfolio: Advanced Exploration Risk, Portfolio Valuation & Strategic Decision Analysis

From $5250 per attendee

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Course 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