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Institute For Oil & Gas Training
OGI-1148 New

NPV, IRR & Fiscal Sensitivity Analysis: Probabilistic Techniques Training Course

Duration
5 days
CPD hours
15
Language
English
Next date
05 Oct 2026
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Overview

The NPV, IRR & Fiscal Sensitivity Analysis course from Institute For Oil & Gas Training develops advanced financial evaluation capabilities for oil and gas investments where project economics depend on commodity prices, production profiles, capital expenditure, operating expenditure, fiscal terms and uncertainty. The course addresses the need for disciplined investment analysis that connects NPV, IRR & Fiscal Sensitivity Analysis with petroleum economics, project risk, fiscal modelling and decision-making.

Oil and gas investment decisions require more than a single base-case valuation. Capital-intensive projects are exposed to changes in oil and gas prices, reserves, production performance, development costs, operating costs, taxation, royalties, production sharing arrangements and other fiscal variables. A robust investment assessment therefore requires structured sensitivity analysis and probabilistic techniques that demonstrate how changes in critical assumptions affect project value and investment returns.

This course focuses on practical application of NPV, IRR & Fiscal Sensitivity Analysis across upstream petroleum projects and investment decisions. Participants examine one-way and two-way sensitivity, switching values, downside and upside cases, tornado diagram analysis and spider chart interpretation. The programme also develops practical understanding of Monte Carlo simulation, probability of success, risked value and expected monetary value.

Institute For Oil & Gas Training presents these techniques from a corporate petroleum finance perspective, linking financial calculations with commercial decisions. Participants learn how to distinguish deterministic valuation from probabilistic analysis, identify the assumptions that drive project economics and communicate financial risk clearly to investment committees, management teams and other stakeholders.

The course also addresses the relationship between project economics and fiscal structures. Changes in government take, tax rates, royalties, production-sharing mechanisms and contractual terms directly affect project cash flow and investment returns. Participants therefore develop the ability to assess fiscal sensitivity alongside operational and market assumptions.

The emphasis is on decision-quality analysis rather than theoretical calculation alone. Participants work with realistic oil and gas investment scenarios, evaluate alternative assumptions, examine risk-adjusted outcomes and interpret financial indicators in the context of project uncertainty. This supports stronger investment screening, portfolio evaluation, capital allocation and economic assurance.

The programme is suitable for professionals involved in petroleum finance, economics, commercial analysis, planning, investment appraisal, asset management, business development and project evaluation. It provides a structured framework for analysing investment cases where uncertainty is an essential part of the commercial decision.

Objectives

  • Apply NPV, IRR & Fiscal Sensitivity Analysis to oil and gas investment decisions.

  • Strengthen understanding of petroleum project cash flow and investment valuation.

  • Analyse the impact of commodity prices, production, CAPEX and OPEX on project economics.

  • Perform one-way and two-way sensitivity analysis for critical investment assumptions.

  • Construct and interpret a tornado diagram for identifying major economic drivers.

  • Use a spider chart to communicate changes in project value across multiple assumptions.

  • Determine switching values that identify critical economic thresholds.

  • Develop structured downside and upside cases for petroleum investment evaluation.

  • Understand the application of Monte Carlo simulation to uncertain project economics.

  • Interpret probability distributions and probabilistic project valuation outputs.

  • Apply probability of success concepts to petroleum investment decisions.

  • Calculate and interpret risked value for uncertain investment opportunities.

  • Apply expected monetary value to alternative investment outcomes.

  • Integrate fiscal assumptions into petroleum project sensitivity analysis.

  • Distinguish deterministic valuation from probabilistic economic evaluation.

  • Improve communication of investment risks and economic sensitivities to decision-makers.

  • Support more consistent capital allocation and investment screening processes.

  • Identify assumptions requiring stronger validation before investment decisions are made.

  • Strengthen commercial understanding of uncertainty within upstream petroleum projects.

Training methodology

Institute For Oil & Gas Training uses a practical corporate delivery approach that combines technical explanation with oil and gas investment scenarios. The methodology focuses on applying financial techniques to situations encountered in upstream petroleum businesses rather than treating valuation methods as isolated calculations.

Case studies form a central part of the course. Participants examine petroleum investment cases involving changes in production, commodity prices, capital expenditure, operating expenditure and fiscal assumptions. Each case demonstrates how a change in an individual variable influences cash flow, NPV and IRR.

Practical modelling exercises reinforce the interpretation of one-way and two-way sensitivity. Participants analyse how individual assumptions affect project economics and then examine interactions between two variables. This establishes a clear distinction between simple sensitivity analysis and broader probabilistic assessment.

Tornado diagram exercises help participants identify the assumptions with the greatest influence on project value. Spider chart analysis provides another visual method for comparing the effect of multiple variables across a defined range. These techniques support clearer communication of economic drivers to senior decision-makers.

Monte Carlo simulation is introduced through practical investment scenarios. Participants examine probability distributions, simulated project outcomes and the resulting range of economic values. The focus remains on interpreting probabilistic outputs for business decisions rather than treating simulation as a purely mathematical exercise.

Group exercises are used to assess downside and upside cases, switching values, probability of success and risked value. Participants discuss the commercial implications of different assumptions and develop structured conclusions from financial analysis.

Real-world scenarios also demonstrate how expected monetary value supports decision-making when projects contain uncertain outcomes. Participants compare deterministic project values with probability-weighted outcomes and examine how risk changes the interpretation of investment returns.

The delivery approach encourages participants to challenge assumptions, identify value drivers and communicate findings in commercially relevant language. This makes the methodology suitable for finance, commercial, technical and management professionals who need a common framework for investment evaluation.

Organisational impact

The course strengthens the organisation's ability to evaluate petroleum investments using consistent and transparent financial techniques. A structured approach to NPV, IRR & Fiscal Sensitivity Analysis gives finance, commercial and asset teams a common basis for discussing project economics.

Improved sensitivity analysis helps organisations identify the assumptions that have the greatest effect on investment value. Tornado diagram and spider chart analysis provide clear visual methods for communicating these value drivers to management and investment committees.

The application of one-way and two-way sensitivity supports stronger scenario analysis. Organisations gain greater visibility of how changes in production, commodity prices, CAPEX, OPEX and fiscal assumptions influence project returns.

Probabilistic techniques provide an additional perspective on investment uncertainty. Monte Carlo simulation enables project teams to examine a range of possible economic outcomes rather than relying exclusively on one deterministic forecast.

The course also strengthens risk-adjusted investment evaluation. Probability of success, risked value and expected monetary value provide structured approaches for analysing opportunities where commercial outcomes contain material uncertainty.

Improved understanding of switching values supports earlier identification of economic thresholds. Organisations can use these thresholds when assessing investment assumptions, project design choices and commercial conditions.

The focus on fiscal sensitivity also improves understanding of how petroleum fiscal structures affect project economics. Finance and commercial teams gain a clearer framework for assessing changes in fiscal assumptions alongside technical and market variables.

The organisational benefits extend to capital planning and portfolio management. Better interpretation of project sensitivities supports clearer comparison of investment opportunities and improves the quality of financial information presented to decision-makers.

The course also promotes stronger cross-functional communication. Finance, economics, commercial, subsurface, engineering and asset management professionals gain a shared vocabulary for discussing project value, uncertainty and investment risk.

Personal impact

Participants develop stronger practical capabilities in petroleum investment valuation and financial analysis. They gain a structured understanding of how NPV and IRR respond to changes in the assumptions that underpin oil and gas project economics.

The course strengthens the ability to construct and interpret sensitivity analysis. Participants learn how to examine one-way and two-way sensitivity and determine which variables have the greatest influence on investment outcomes.

Participants also develop practical skills in using tornado diagrams and spider charts to communicate financial sensitivities. These tools support clearer presentations and more effective discussions with senior management and investment committees.

The introduction to Monte Carlo simulation strengthens participants' understanding of probabilistic investment analysis. They learn how uncertainty in assumptions translates into a distribution of possible project outcomes.

Participants gain greater confidence in applying probability of success, risked value and expected monetary value when assessing uncertain petroleum opportunities. These techniques support more structured commercial reasoning when project outcomes vary.

The course develops the ability to identify switching values and understand economic breakpoints. Participants can use these thresholds to explain when changes in critical assumptions materially alter investment conclusions.

The programme also strengthens scenario development skills. Participants learn to construct and interpret downside and upside cases and distinguish scenario analysis from probabilistic analysis.

Professionally, these capabilities support stronger performance in petroleum finance, investment appraisal, commercial analysis, planning, economics and asset management roles. Participants also improve their ability to communicate financial analysis clearly to both technical and non-technical stakeholders.

Who should attend

  • Petroleum Finance Professionals — Strengthen investment valuation, sensitivity analysis and risk-adjusted financial assessment.

  • Financial Analysts — Develop advanced techniques for analysing project returns and economic uncertainty.

  • Petroleum Economists — Apply probabilistic methods to petroleum project valuation and commercial decision-making.

  • Commercial Managers — Evaluate project sensitivities, fiscal assumptions and investment risks from a commercial perspective.

  • Business Development Professionals — Strengthen financial assessment of exploration, development and investment opportunities.

  • Investment Analysts and Advisors — Improve the analysis and presentation of project economics for investment decisions.

  • Asset Managers — Assess project value drivers, economic thresholds and uncertainty across petroleum assets.

  • Planning Professionals — Incorporate scenario and sensitivity analysis into investment and business planning.

  • Project Finance Professionals — Strengthen understanding of project returns, cash flow uncertainty and risked valuation.

  • Management Accountants — Develop stronger capability in investment economics and petroleum project sensitivity analysis.

  • Finance Managers — Improve financial review of capital-intensive oil and gas investments.

  • Commercial Analysts — Analyse fiscal, operational and market variables affecting petroleum project value.

  • Engineering Economics Professionals — Connect technical assumptions with financial valuation and investment outcomes.

  • Senior Managers and Decision-Makers — Improve interpretation of financial sensitivities and probabilistic investment analysis.

Course outline

This module establishes the financial framework for evaluating oil and gas investments. It examines project cash flow, NPV, IRR and the relationship between technical assumptions, commercial variables and financial returns.

  1. IFRS 6 Exploration Evaluation

    • IFRS 6 provides accounting requirements relating to exploration and evaluation expenditure for mineral resources.

    • Its principles provide useful financial reporting context when reviewing exploration and evaluation expenditure within petroleum businesses.

    • Understanding the distinction between accounting treatment and investment economics supports clearer financial analysis.

    Learning Outcomes

    • Explain the financial foundations of petroleum project valuation.

    • Calculate and interpret NPV and IRR.

    • Identify the key assumptions driving project cash flow.

    • Distinguish project valuation from financial reporting treatment.

    • Establish a structured base case for subsequent sensitivity analysis.

This module develops practical techniques for testing how changes in individual and combined assumptions affect project economics. Participants use structured sensitivity analysis to identify critical investment drivers.

  1. ISO 31000 Risk Management

    • ISO 31000 provides principles and guidelines for structured risk management.

    • Its framework supports consistent identification, assessment and communication of uncertainty.

    • Sensitivity analysis provides a practical quantitative input into broader risk assessment processes.

    Learning Outcomes

    • Perform one-way and two-way sensitivity analysis.

    • Identify assumptions with significant effects on project value.

    • Calculate and interpret switching values.

    • Develop structured downside and upside cases.

    • Construct and interpret tornado diagrams and spider charts.

    • Communicate sensitivity findings in a commercially relevant format.

This module examines how fiscal variables influence petroleum project economics. Participants evaluate the effect of fiscal assumptions on cash flow, NPV, IRR and investment attractiveness.

  1. EITI Standard

    • The Extractive Industries Transparency Initiative Standard provides a recognised framework for transparency in extractive sector governance and reporting.

    • It addresses disclosure and transparency relating to government revenues and extractive sector activities.

    • Its transparency principles provide relevant context for understanding fiscal information in extractive industries.

    Learning Outcomes

    • Identify major fiscal variables affecting petroleum project economics.

    • Analyse the effect of fiscal assumptions on NPV and IRR.

    • Develop fiscal sensitivity cases.

    • Interpret government take and contractor economic outcomes.

    • Identify fiscal switching values and critical thresholds.

    • Integrate fiscal variables into wider project sensitivity analysis.

This module moves from deterministic sensitivity analysis to probabilistic assessment. It introduces Monte Carlo simulation and demonstrates how uncertainty in multiple assumptions affects the distribution of project outcomes.

  1. PRMS Petroleum Resources

    • The Petroleum Resources Management System provides a recognised framework for petroleum resources classification and project maturity.

    • It distinguishes resources and reserves according to project and commercial considerations.

    • Resource uncertainty provides important context for probabilistic economic analysis in petroleum projects.

    Learning Outcomes

    • Explain the purpose of probabilistic economic analysis.

    • Identify suitable uncertainty distributions for project assumptions.

    • Apply Monte Carlo simulation to petroleum investment cases.

    • Interpret simulated NPV and IRR distributions.

    • Assess probability of success using defined assumptions.

    • Calculate and interpret risked value.

    • Connect resource uncertainty with financial uncertainty.

This module integrates deterministic and probabilistic techniques into a structured investment decision framework. Participants examine expected monetary value, risked outcomes and decision scenarios to support stronger petroleum investment analysis.

  1. IAS 36 Impairment Assets

    • IAS 36 establishes principles for assessing impairment of assets and cash-generating units.

    • Its requirements provide relevant financial reporting context for assessing whether asset carrying amounts remain recoverable.

    • Understanding value assumptions supports clearer separation between investment modelling and financial reporting assessment.

    Learning Outcomes

    • Apply expected monetary value to petroleum investment scenarios.

    • Distinguish risked and unrisked project values.

    • Integrate probability of success into investment evaluation.

    • Combine downside, base and upside scenarios with probabilistic analysis.

    • Interpret switching values and economic thresholds.

    • Present integrated NPV, IRR and fiscal sensitivity findings.

    • Communicate investment uncertainty clearly to senior decision-makers.

Certificate

Attendees who successfully complete the course receive a Certificate of Completion from Institute For Oil & Gas Training.

Certificate eligibility requires attendance and completion of the scheduled course programme. Participants are expected to attend the required course sessions and engage with the programme activities throughout the delivery.

Course dates

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

Fees include tuition, course materials and refreshments. Need different dates or a different city? Ask about your preferred date.

Frequently asked questions

What does the NPV, IRR & Fiscal Sensitivity Analysis course cover?

The course covers petroleum project valuation, NPV, IRR, fiscal sensitivity, one-way and two-way sensitivity, switching values, downside and upside cases, tornado diagrams, spider charts, Monte Carlo simulation, probability of success, risked value and expected monetary value.

Who should attend this oil and gas finance course?

The course is designed for petroleum finance professionals, financial analysts, petroleum economists, commercial managers, asset managers, business development professionals, investment analysts, planning professionals and senior decision-makers involved in oil and gas investment evaluation.

How is the course delivered?

Institute For Oil & Gas Training uses corporate case studies, practical exercises, investment scenarios, group analysis and simulation-based exercises. The delivery focuses on applying valuation and probabilistic techniques to realistic petroleum investment situations.

Does the course cover Monte Carlo simulation?

Yes. The course introduces Monte Carlo simulation for petroleum investment analysis and examines probability distributions, simulated NPV and IRR outcomes, probability of success and risked value.

What certificate is provided after completing the course?

Attendees receive a Certificate of Completion from Institute For Oil & Gas Training upon finishing the course, subject to meeting the required attendance and participation requirements.

Next: 05 Oct 2026

4 dates available

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