Financial Modelling in the Oil and Gas Industry Training

The programme

Programme overview

In today’s highly competitive global environment, advanced Excel proficiency and financial modelling expertise are essential skills for professionals in the Oil & Gas sector. This Financial Modelling in the Oil and Gas Industry comprehensive training course is designed to equip delegates with the critical financial modelling and forecasting skills required to succeed in both upstream and downstream operations. Through a hands-on, real-world approach, participants will learn how to leverage Excel to develop robust financial models, apply statistical techniques, and improve financial decision-making in their organisations.

Whether you are tasked with financial planning, performance measurement, or investment appraisal, this course provides practical guidance and industry-specific examples to enhance your technical abilities. Delegates will leave the course empowered to build complex models, analyse financial performance, and deliver actionable insights that drive organisational value and support career progression.

Key Course Highlights

• Create accurate and dynamic financial models
• Support better investment decisions, including those shaped by carbon pricing and energy transition considerations
• Analyse, forecast, and present financial data with confidence
• Drive business performance and personal career growth in a demanding sector

Who should attend

Who is this programme for?

• Decision-Makers and Professionals Involved in Performance Monitoring
• Budgeting and Financial Modelling Specialists
• Accountants and Financial Analysts
• Data Analysts and Junior Managers Seeking to Enhance Modelling Skills
• Anyone Responsible for Financial Planning, Investment Analysis, or Operational Performance in Oil & Gas

Learning outcomes

What you will learn

• Confidently apply financial modelling techniques in the Oil & Gas industry
• Use Excel to build, analyse, and present complex financial models
• Improve the accuracy and impact of quantitative analysis in reports and presentations
• Assess appropriate discount rates and employ a range of investment appraisal methods (NPV, IRR, MIRR), including how AI now accelerates this analysis
• Leverage business statistics for performance measurement and strategic decision-making
• Perform in-depth financial analysis of both upstream and downstream operations
• Incorporate ESG considerations, carbon pricing mechanisms, and energy transition risk into financial models and investment appraisal

Explore the programme

Detailed programme outline

• Excel essentials and advanced shortcuts
• Data description and graphical representation
• Normal distribution concepts in practice
• Trend and time series analysis in the industry context
• Essential Excel functions for statistics
• Application of mean, median, standard deviation, skewness, kurtosis
• Scatter diagrams, frequency, and histogram distributions
• Regression analysis for cost of equity and sector returns
• Analysing energy product relationships and data sets
• Correlation analysis and its implications
• Confidence intervals and ANOVA in performance evaluation
• Project appraisal using NPV, IRR, MIRR, and payback methods, including how AI now accelerates this analysis — traditionally a lengthy manual build, now achievable in a fraction of the time with AI-assisted modelling covering cash flow projections, discount rate selection, and sensitivity analysis
• Excel-based scenario and sensitivity analysis
• Stress testing and financial distress prediction
• Incorporating carbon pricing mechanisms, emissions reduction costs, and Carbon Capture and Storage (CCS) costs into project appraisal, reflecting current industry practice as energy transition and ESG considerations increasingly shape upstream and downstream investment decisions
• Overview of financial statements in Oil & Gas
• Ratio analysis and pyramids of ratios
• Building integrated financial models
• Cash flow forecasting techniques using Excel
• Incorporating ESG metrics and sustainability reporting considerations into financial statement analysis, reflecting growing investor and stakeholder scrutiny of long-term sustainability in a carbon-constrained world

Learning approach

How you will learn

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.– Course Material: Access well-crafted supporting resources.– Group Work: Collaborate on discussions and case studies for practical insights.– Workshops & Role-Play: Participate in immersive, scenario-based activities.– Practical Application: Focus on applying theoretical knowledge in real situations.– Post-Training Support: Receive extensive support after training for skill implementation.

Discuss your requirements

Dates, duration & arrangements

Contact Ratomac to confirm dates, duration, delivery format, entry requirements and any applicable assessment or certification before booking.