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Home Course Finder Uncertainty Modeling & Risk-Based Decision Making in Energy Projects
Oil and Gas

Uncertainty Modeling & Risk-Based Decision Making in Energy Projects

Energy projects operate under conditions where volatility, technical complexity, and long investment cycles make uncertainty a critical factor in success. Managing this uncertainty effectively requires more than traditional risk registers—it demands structured modeling and disciplined decision frameworks. This course provides practical techniques to model uncertainty, quantify risk exposure, and support high-impact decisions across the project lifecycle. Participants will learn how to transform uncertain variables into actionable insights, improving confidence in investment, planning, and operational decisions.

OG-010Kuala Lumpur - MalaysiaOil and Gas
Course schedules
Upcoming dates Classroom
Start date End date Location Fee Registration
Kuala Lumpur - Malaysia
€1,400 + VAT
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Barcelona - Spain
€1,925 + VAT
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London - United Kingdom
€2,100 + VAT
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Munich - Germany
€2,125 + VAT
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Barcelona - Spain
€1,925 + VAT
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Madrid - Spain
€2,125 + VAT
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Rome - Italy
€2,125 + VAT
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Kuala Lumpur - Malaysia
€1,400 + VAT
→
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12 - 16 October 2026 €1,050 + VAT → 9 - 13 November 2026 €1,050 + VAT → 14 - 18 December 2026 €1,050 + VAT → 18 - 22 January 2027 €1,050 + VAT → 15 - 19 February 2027 €1,050 + VAT → 15 - 19 March 2027 €1,050 + VAT → 19 - 23 April 2027 €1,050 + VAT → 17 - 21 May 2027 €1,050 + VAT →

Why Attend

Energy projects operate under conditions where volatility, technical complexity, and long investment cycles make uncertainty a critical factor in success. Managing this uncertainty effectively requires more than traditional risk registers—it demands structured modeling and disciplined decision frameworks.

This course provides practical techniques to model uncertainty, quantify risk exposure, and support high-impact decisions across the project lifecycle. Participants will learn how to transform uncertain variables into actionable insights, improving confidence in investment, planning, and operational decisions.

Course Objectives
  • Model uncertainty using structured quantitative approaches
  • Apply risk-based decision-making techniques in complex projects
  • Evaluate project scenarios using probabilistic analysis
  • Assess the impact of uncertainty on cost, schedule, and performance
  • Improve decision quality through data-driven insights
  • Integrate uncertainty modeling into project governance and reporting
Designed for

This program is intended for professionals involved in Oil and Gas.

  • Project Managers and Engineers in energy and oil & gas
  • Risk and Planning Specialists
  • Investment and Financial Analysts
  • Operations and Asset Management Professionals
  • Decision-makers involved in capital and strategic projects
Course Methodology

The program is designed to balance theory with practical application through: - Industry-based case studies from oil, gas, and energy projects - Guided exercises in uncertainty modeling and risk evaluation - Group discussions and decision-making simulations - Step-by-step demonstrations of analytical techniques - Practical frameworks that can be immediately applied in the workplace

Course content
Day1

Foundations of Uncertainty in Energy Projects

  • Understanding uncertainty vs. risk in energy environments
  • Sources of uncertainty (market, technical, geopolitical, operational)
  • Risk management frameworks in energy projects
  • Techniques for identifying and structuring uncertainty
  • Building a robust risk and uncertainty register
  • Qualitative assessment and prioritization
Day2

Quantitative Uncertainty Modeling

  • Introduction to probabilistic modeling concepts
  • Key statistical tools for uncertainty analysis
  • Defining input distributions and assumptions
  • Sensitivity analysis and key risk drivers
  • Introduction to simulation techniques (e.g., Monte Carlo concepts)
  • Interpreting and validating model outputs
Day3

Risk-Based Decision Analysis

  • Principles of decision-making under uncertainty
  • Decision trees and expected value concepts
  • Evaluating alternatives using risk-adjusted metrics
  • Risk appetite and decision criteria
  • Scenario comparison and trade-off analysis
  • Case study: Energy investment decision
Day4

Integrated Risk Modeling for Projects

  • Linking cost, schedule, and performance risks
  • Modeling dependencies and correlations
  • Scenario planning and stress testing
  • Risk mitigation strategies and optimization
  • Introduction to risk modeling tools (conceptual overview)
  • Practical workshop: building an integrated model
Day5

Embedding Risk-Based Decision Making

  • Applying risk insights across the project lifecycle
  • Governance and risk reporting frameworks
  • Communicating uncertainty to senior stakeholders
  • Supporting strategic and operational decisions
  • Lessons learned and industry best practices
  • Final group exercise and action planning
The certificate

SPARK Training Certificate of Completion is awarded to participants who attend and complete the full training course.

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