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Financial Modelling in the Oil and Gas Industry Training

Master AI-Accelerated Financial Modelling for a Sector in Energy Transition

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Platform:
Online
In-class
Date Venue Duration
19 - 23 October 2026 Sandton, Gauteng 5 Days
15 - 19 February 2027 Sandton, Gauteng 5 Days
10 - 14 May 2027 Sandton, Gauteng 5 Days
28 June - 02 July 2027 Sandton, Gauteng 5 Days
16 - 20 August 2027 Sandton, Gauteng 5 Days

Course Introduction

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

Participants will gain practical, immediately applicable skills, enabling them to:
  • 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

Course Objectives

By the end of this Financial Modelling in the Oil and Gas Industry Training course, participants will be able to:
  • 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

Who should attend?

  • 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
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Training Methodology

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.

Training Outline

Day 1: Excel for Oil & Gas Financial Modelling
Module 1: Excel for Oil & Gas Financial Modelling
  • Excel essentials and advanced shortcuts
  • Data description and graphical representation
  • Normal distribution concepts in practice
  • Trend and time series analysis in the industry context
Day 2: Statistical Analysis Using Excel
Module 2: Statistical Analysis Using Excel
  • 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
Day 3: Oil Product Spreads & Advanced Analysis
Module 3: Oil Product Spreads & Advanced Analysis
  • Analysing energy product relationships and data sets
  • Correlation analysis and its implications
  • Confidence intervals and ANOVA in performance evaluation
Day 4: Investment Appraisal in Oil & Gas
Module 4: Investment Appraisal in Oil & Gas
  • 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
Day 5: Financial Statement & Ratio Analysis
Module 5: Financial Statement & Ratio Analysis
  • 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

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Success Stories

Discover how our courses enhance professionals’ effectiveness in their workplaces.

uMngeni-uThukela Water

IFRS Updates Trainings

What made the sessions exceptionally helpful was the deliberate focus on actionable strategies rather than just high-level concepts. The structured approach kept the content engaging. It was a highly impactful professional development experience.

Telekom Networks Malawi Plc

Financial Analysis, Modelling and Forecasting

It has been a really fruitful and helpful training. Many thanks to PROSPEN AFRICA and the facilitator Olufemi. This is definitely going to make my work life easier and meaningful.

Northam Booysendal Mine

Mastering Payroll Preparation, Analysis, and Management

The course really taught us deep in to Payroll and made us aware of things we were not aware of.

Telekom Networks Malawi PLC

Financial Analysis, Modelling and Forecasting

The training was very insightful and the facilitator was very engaging which made everything easier to understand and follow. It has really equipped us in our areas of lack and we feel confident now on our next assignments on forecasts and analysis

Magalies Water

GRAP training

The course was practical, informative and relevant

FAQs – Financial Modelling in the Oil and Gas Industry Training

Master reserve valuation techniques, fiscal regime modeling, cash flow forecasting, and project sensitivity analysis to evaluate capital investments and risk across upstream, midstream, and downstream energy assets.

What topics are covered in the Financial Modelling in the Oil and Gas Industry course?
The course covers upstream exploration and production (E&P) economics, midstream and downstream financial structuring, production decline curve modeling, fiscal regime modeling (Production Sharing Contracts/PSCs and Concession Agreements), commodity price hedging, reserve valuation (P10, P50, P90), and decommissioning liabilities.
Who should attend this energy sector financial modeling training?
This masterclass is designed for financial analysts, project managers, energy investment bankers, petroleum economists, corporate finance managers, treasury specialists, and government energy regulation officers operating in the oil, gas, and energy sectors.
What are the key learning objectives of this oil and gas modeling course?
Delegates learn to build integrated 3-statement financial models tailored to energy projects, model complex petroleum tax and royalty mechanisms, perform sensitivity analysis on Brent/WTI crude price volatility, and evaluate field development project NPV and IRR metrics.
How long is the Financial Modelling in the Oil and Gas Industry course?
The programme is delivered as an intensive 5-day hands-on Excel masterclass featuring live model-building clinics, energy asset valuation workouts, and real-world petroleum project case studies.
What practical skills will delegates gain from this masterclass?
Participants will gain practical skills in modeling ring-fenced fiscal regimes, structuring debt ring-fencing for capital-intensive drilling projects, calculating ring-fenced cost oil vs. profit oil splits, and executing Monte Carlo risk simulations for reserve estimation.
Can Prospen Africa deliver this course as customized in-house training?
Yes. Prospen Africa can tailor the masterclass to mirror your organization's specific field development assets, local host-government fiscal contracts, pipeline tariffs, and corporate hurdle rates.

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