Optimising Petroleum Investment Decisions Through Advanced Economic and Risk Modelling
Staroil Operating Company in Sudan and Uganda’s Ministry of Finance faced challenges in evaluating petroleum investments under volatile oil prices and complex fiscal regimes. Limited in-house capacity to quantify technical, market, and fiscal risks constrained decision-making, often resulting in slower project appraisal, uncertain risk management, and suboptimal portfolio allocation.
40%
reduction in petroleum project appraisal time
30%
improvement in forecast accuracy for price, volume & cash flow
THE OPPORTUNITY
Leapfrogging Investment Analysis Capabilities
Industry and government stakeholders recognised a critical opportunity to strengthen investment, risk, and fiscal management in petroleum projects. By building advanced economic and financial modelling skills, participants could better evaluate upstream, midstream, and downstream opportunities, quantify technical and market risks, and optimise portfolios under volatile global energy markets. For governments, improved modelling could reduce fiscal exposure to oil price shocks and enhance regulatory oversight.
The initiative also promised long-term capacity building, aligning local practices with international standards and creating a shared technical language between industry practitioners and regulators.
THE SOLUTION
Transforming Petroleum Investment Through Advanced Analytics and Simulation
Mindset Resource Consulting, in collaboration with Global Analytics Consulting and CEDAF, designed a five-day specialist training workshop in Glasgow. Structured across four modules, the program combined theory, case studies, and live financial simulations to bridge knowledge gaps and embed practical expertise:
- Petroleum Project Economics & Investment Evaluation – Participants learned to construct cash flows, apply decision trees, assess exploration economics, and develop robust project valuation models. Emphasis was placed on understanding investment trade-offs, opportunity costs, and the commercial implications of petroleum contracts.
- Risk Analysis & Management – Using scenario and sensitivity analysis, probability theory, and event-tracking methods, participants quantified technical, market, and fiscal risks. Practical exercises focused on field development, reservoir performance, and surface facilities to simulate real-world uncertainties.
- Energy Derivatives & Portfolio Management – Through live simulations on NYMEX and CME platforms, participants applied futures, options, swaps, and weather derivatives to stabilize oil price and volume risk. Portfolio optimization and real options techniques were taught to evaluate investment alternatives and manage aggregate risk exposure effectively.
- Fiscal Modelling & Upstream Regulation – The program trained government participants on modeling fiscal regimes, forecasting oil revenues, and assessing the macroeconomic impact of price volatility. Tools and statistical software enabled scenario-based evaluations to improve policy decisions, fiscal resilience, and revenue stability.
The workshops combined lectures, case studies, software simulations, and real-time exercises, ensuring both theoretical understanding and practical application. Emphasis on interactive, problem-based learning strengthened collaboration between corporate and public sector participants.
THE IMPACT
From Insight to Impact: Optimising Petroleum Outcomes
The project delivered measurable business and policy outcomes. Corporate participants reduced petroleum project appraisal time by 30–40%, improved forecast accuracy for price, volume, and cash flow by up to 30%, and enhanced risk-adjusted project selection.
Governments strengthened fiscal frameworks, reduced exposure to revenue shocks, and improved regulatory oversight, enabling more resilient planning in petroleum-dependent economies.
Across sectors, participants acquired sustainable skills in economic modelling, risk management, and portfolio optimization. By embedding international best practices, the project elevated institutional capacity, aligned commercial and fiscal decision-making, and created a lasting framework for data-driven investment and policy choices.
