Financial Modelling and Petroleum Project Economics

Duration 10 Days
Language English
Course Format Classroom / Online
Certificate Yes

Detail

Overview

The oil and gas industry operates in a volatile and capital-intensive environment where financial modeling and project economics play a crucial role in decision-making. This course provides participants with a deep understanding of financial modeling techniques, economic evaluation, and risk assessment specific to the petroleum sector. Through practical exercises and real-world applications, participants will develop the skills needed to evaluate investment opportunities, optimize project performance, and manage financial risks.

Objectives

By the end of this course, participants will:

  • Master Excel-based financial modeling techniques for the oil and gas industry
  • Analyze key financial and statistical metrics relevant to energy markets
  • Evaluate investment opportunities using NPV, IRR, and other financial indicators
  • Conduct risk and uncertainty analysis for petroleum projects
  • Develop cash flow models for upstream and downstream operations
  • Apply economic indicators and sensitivity analysis to decision-making
  • Gain hands-on experience in petroleum project financial evaluation

Target Audience

This course is designed for professionals involved in financial planning, economic evaluation, and investment decision-making within the oil and gas sector, including:

  • Financial Analysts and Economists in the Energy Sector
  • Petroleum Engineers and Project Managers
  • Investment and Risk Analysts
  • Oil and Gas Consultants
  • Energy Industry Executives and Decision-Makers

Outlines

Module 1: Financial Modelling in the Oil & Gas Industry

Day 1:  Excel Foundations for Oil & Gas Financial Analysis

  • Introduction to Excel for Financial Modeling
  • Working with Data: Organizing and Analyzing Information
  • Statistical Tools for Financial Data Interpretation
  • Graphical Representation of Financial and Industry Data
  • Normal Distribution and Trend Analysis in Energy Markets
  • Introduction to Time Series Analysis for Oil and Gas

Day 2:   Statistical Analysis for Energy Finance

  • Utilizing Excel for Statistical Calculations
  • Key Statistical Metrics: Mean, Median, Standard Deviation, Skewness, and Kurtosis
  • Building and Interpreting Scatter Plots, Frequency Distributions, and Histograms
  • Regression Analysis and Cost of Equity Estimation
  • Analyzing Industry Equity Returns and Financial Performance

Day 3:   Understanding Oil Product Spreads and Market Analysis

  • Examining Relationships Between Energy Commodities
  • Comparative Analysis of Different Data Sets and Their Significance
  • Correlation Analysis in Oil Market Pricing
  • Establishing Confidence Intervals for Financial Projections
  • Application of ANOVA in Market Trend Analysis

Day 4: Investment Appraisal Techniques for Oil & Gas

  • Evaluating Energy Investments Using NPV, IRR, and Payback Period
  • Excel Functions for Investment Appraisal: IRR, PV, and NPV
  • Modified Internal Rate of Return (MIRR) for Enhanced Decision-Making
  • Conducting Scenario Analysis and Stress Testing
  • Techniques for Predicting Financial Distress in the Energy Sector

Day 5:Financial Analysis for Upstream and Downstream Operations

  • Introduction to Oil & Gas Financial Statements
  • Ratio Analysis and Performance Benchmarking in the Industry
  • Understanding Financial Ratios in a Systematic Framework
  • Cash Flow Forecasting and Capital Budgeting Using Excel
  • Introduction to Financial Modeling Techniques

Module 2: Petroleum Project Economics & Risk Analysis

Day 6:Cash Flow Modeling for Petroleum Projects

  • Key Economic Terminologies and Concepts
  • Structuring a Cash Flow Model for Oil & Gas Investments
  • Depreciation Methods and Their Impact on Project Valuation
  • Handling Inflation and Distinguishing Between Nominal & Real Cash Flows
  • Sunk Costs and Their Role in Project Decision-Making
  • Introduction to Project Financing in the Oil & Gas Sector

Day 7:Economic Indicators for Project Evaluation

  • Defining and Applying Key Economic Indicators
  • Present Value and Discount Factor Concepts
  • Net Present Value (NPV) and Internal Rate of Return (IRR) Calculations
  • Assessing the Impact of Project Delays on Profitability
  • Payback Period and Profitability Index Metrics
  • Evaluating Incremental Projects for Investment Decisions

Day 8:Managing Risks and Uncertainties in Oil & Gas Projects

  • Understanding Risk and Uncertainty in Energy Investments
  • Applying the Expected Value Concept to Decision-Making
  • Decision Tree Analysis for Oil and Gas Ventures
  • Evaluating Farm-out Decisions and Joint Venture Scenarios
  • Sensitivity Analysis and Probability-Based Financial Modeling
  • Monte Carlo Simulation for Risk Forecasting

Day 9:Hands-on Spreadsheet Modeling for Petroleum Economics

  • Introduction to Spreadsheet-Based Economic Calculations
  • Constructing a Simple Cash Flow Model in Excel
  • Applying Economic Indicators to Petroleum Projects
  • Conducting Financial Analysis and Sensitivity Testing
  • Interactive Group Discussion on Financial Modeling Strategies

Day 10 :Developing an Oil Field Development Economic Model

  • Building an Integrated Economic Model for Oil Field Development
  • Conducting Sensitivity Analysis for Investment Decisions
  • Application of Russell Field Model for Financial Evaluation
  • Reviewing Project Economics and Risk Considerations
  • Final Discussion and Course Wrap-Up

Classroom Dates

12 - 23 May 2025
Boston (US)
13900€
9 - 20 June 2025
Rwanda
11900€
15 - 26 June 2025
Dubai (UAE)
11900€
21 - 1 July 2025
Paris (France)
11900€
4 - 15 August 2025
İstanbul (Turkey)
11900€
11 - 22 August 2025
Geneva (Switzerland)
11900€
8 - 19 December 2025
Boston (US)
13900€