Course Overview

Oil and gas projects require complex decisions involving technical, financial, and operational uncertainties. Effective Decision Support Systems (DSS) help organisations integrate data, manage risks, and improve project outcomes by enabling informed, timely, and value-driven decisions.

The Decision Support Systems in Oil and Gas Projects programme by Transformentors Academy provides participants with a practical framework for designing and applying integrated decision support tools across the oil and gas project lifecycle. The course explores data analysis, project controls, financial evaluation, risk assessment, scenario planning, and business intelligence to support strategic and operational decision-making.

Through practical applications and industry case studies, participants will develop the skills to evaluate project alternatives, manage uncertainty, optimise capital allocation, and implement performance monitoring systems that enhance project delivery and long-term business value.

Agenda

Day — 1 Oil & Gas Project Foundations and Decision Context

• Understanding projects and programmes in the oil and gas industry
• Exploring the project lifecycle and stage-gate process
• Reviewing the Project Sanctioning and Approval Process (PSAP)
• Developing strategic business cases for oil and gas projects
• Understanding project identification and accountability principles
• Case Study: Evaluating a project approval and investment decision scenario

Day — 2 Project Environment and Feasibility

• Understanding the project environment and key stakeholders
• Reviewing regulatory and institutional factors affecting projects
• Exploring the importance of project feasibility studies
• Understanding project preparation and planning processes
• Examining project organisation in typical oil and gas projects
• Identifying the unique requirements of oil and gas project management
• Case Study: Feasibility assessment for an oil and gas project

Day — 3 Project Economics and Financial Modelling

• Understanding the relationship between time, cost, and quality in projects
• Developing financial plans for oil and gas projects
• Exploring the fundamentals of project finance, including limited and non-recourse financing
• Understanding key project finance structures
• Introducing financial modelling for project evaluation and decision-making
• Case Study: Financial modelling and economic assessment of an oil and gas project

Day — 4 Project Execution and Success Factors

• Identifying the key drivers of project success and failure
• Defining project KPIs and success criteria
• Developing effective project charters
• Understanding project team structure and roles
• Exploring communication strategies for project delivery
• Reviewing procurement, contract, and workforce management processes
• Case Study: Evaluating critical success factors in an oil and gas project execution scenario

Day — 5 Reporting and Decision Support Systems

• Understanding stakeholder management strategies in oil and gas projects
• Exploring project reporting techniques and control systems
• Designing performance monitoring and decision support tools
• Applying risk analysis within decision support frameworks
• Defining decision criteria, constraints, and operating limits
• Understanding end-to-end Decision Support Systems (DSS) for oil and gas projects
• Case Study: Developing a decision support framework for project performance and risk management

Learning Outcomes

By the end of the Decision Support Systems in Oil and Gas Projects course, participants will be able to:

• Understand the role of Decision Support Systems (DSS) across the oil and gas project lifecycle.
• Analyse project environments, stakeholder requirements, and regulatory factors to support planning and feasibility studies.
• Design integrated DSS frameworks combining technical, operational, financial, and market data.
• Apply risk management and uncertainty analysis to support informed decision-making.
• Evaluate key project performance drivers, including cost, schedule, quality, and organisational effectiveness.
• Support investment, project approval, resource allocation, and operational decisions using data-driven approaches.

Who Should Attend

This programme is ideal for:

• Project managers
• CEOs and senior executives
• Management professionals
• Risk managers
• IT and system administrators
• Energy analysts
• Business analysts