Introduction

In the oil and gas industry, capital-intensive projects are exposed to significant uncertainty, requiring robust economic evaluation and structured decision-making. Effective analysis of costs, revenues, risks, and uncertainties is essential to ensure optimal investment decisions and long-term value creation.

This program, designed by Global Horizon Training Center, equips participants with advanced tools and methodologies to evaluate project economics, assess risks, and support strategic decision-making across oil and gas projects.

Course Objectives

By the end of this program, participants will be able to:

• Understand advanced economic evaluation techniques for oil and gas projects
• Build and interpret financial models for project assessment
• Analyze cash flows, profitability, and investment performance
• Apply risk analysis and uncertainty modeling techniques
• Conduct sensitivity and scenario analysis
• Utilize decision analysis tools for strategic planning
• Evaluate project feasibility and investment options
• Support decision-making with quantitative and analytical insights

Target Audience

This program is designed for:

• Project and Petroleum Engineers
• Finance and Investment Analysts in Oil & Gas
• Planning and Strategy Professionals
• Asset and Field Managers
• Risk Management Specialists
• Decision-Makers involved in capital projects

Outline

Day 1: Fundamentals of Oil & Gas Project Economics

• Overview of oil and gas project lifecycle economics
• Cost structures: CAPEX, OPEX, and lifecycle costs
• Revenue models and pricing mechanisms
• Time value of money and discounting concepts
• Key economic indicators (NPV, IRR, Payback Period)

Day 2: Financial Modeling and Cash Flow Analysis

• Building financial models for oil and gas projects
• Cash flow forecasting and analysis
• Production profiles and revenue estimation
• Cost estimation and allocation
• Model validation and assumptions testing

Day 3: Risk Analysis and Uncertainty Modeling

• Types of risks in oil and gas projects
• Probability distributions and uncertainty inputs
• Sensitivity analysis and scenario planning
• Monte Carlo simulation concepts
• Risk quantification and interpretation

Day 4: Decision Analysis and Optimization

• Decision trees and expected value analysis
• Portfolio optimization and investment selection
• Real options analysis in oil and gas
• Trade-off analysis between risk and return
• Strategic decision-making frameworks

Day 5: Integration, Evaluation, and Case Studies

• Integrating economics, risk, and decision analysis
• Project evaluation and investment appraisal
• Performance metrics and benchmarking
• Reporting and presenting economic results
• Case studies and real-world applications