Training on Financial Modelling in the Oil & Gas Industry

Training on Financial Modelling in the Oil & Gas Industry course is designed to elevate your proficiency in using Excel for financial modelling in the oil and gas sector. In today's competitive global environment, mastering advanced Excel techniques is crucial for maintaining a competitive edge. Participants will gain in-depth knowledge of financial modelling, performance measurements, and target setting using sophisticated techniques. This course is especially beneficial for those in upstream or downstream roles looking to overcome outdated modelling techniques and advance their careers.

Target Audience

Training on financial modelling in the oil & gasindustry course is ideal for a wide range of professionals, particularly:

• Decision Makers and Performance Monitoring Specialists: Elevating strategic decision-making.
• Budgeting and Financial Modelling Specialists: Enhancing financial modelling capabilities.
• Accountants and Analysts: Developing advanced analytical skills.
• Financial Analysis Specialists: Integrating sophisticated modelling techniques.
• Junior Managers in Data Analysis: Building foundational modelling expertise.

Training Objectives

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

• Improve the quantitative analysis quality in corporate presentations.
• Apply financial modelling specifically in the oil and gas industry.
• Assess the appropriate discount rate effectively.
• Use various investment appraisal models.
• Enhance operations and target setting using business statistics.

Course Outline

Module 1: Introduction to the Excel Environment with Oil and Gas

• Quick-start tutorial for Excel and data description.
• Representing data graphically and understanding normal distribution.
• Trend and time series analysis.

Module 2: Statistical Analysis Using Excel

• Excel functions for statistical analysis.
• Descriptive statistics: mean, median, standard deviation, and more.
• Scatter diagrams, frequency, and histogram distribution.
• Regression techniques for equity financing analysis.

Module 3: Oil Product Spreads

• Examining relationships between energy products.
• Data set differences, correlation analysis, and confidence intervals.
• Application of analysis of variance (ANOVA).

Module 4: Investment Appraisal Using Excel

• NPV, IRR, and payback period methods.
• Excel functions for investment appraisal and scenario analysis.
• Modified Internal Rate of Return (MIRR) and predicting financial distress.

Module 5: Financial Analysis in the Up and Down Stream Oil and Gas Industry

• Introduction to financial statements and ratio analysis.
• Understanding ratios as a system with pyramids of ratios.
• Financial  modelling and cash flow forecasts using Excel.