Course Overview
Petroleum project decisions involve capital commitments of hundreds of millions to billions of dollars, long lead times, irreversible commitments and exposure to commodity price, geological, regulatory and geopolitical risk simultaneously. The engineers, geoscientists and commercial professionals who evaluate these projects, and the executives who approve them, require a rigorous, integrated analytical framework that combines economic valuation with disciplined risk quantification and structured decision-making methodology. Without this, organizations routinely approve projects that destroy value, abandon opportunities that would have created it, and allocate capital across portfolios with no systematic basis for comparison.
This Zoe Talent Solutions Petroleum Economics, Project Evaluation and Risk Decision Analysis Masterclass covers the complete applied curriculum for upstream project economics: the structure and economics of upstream petroleum operations, global fiscal regime types and their economic implications, time value of money and discounted cash flow analysis, production profiling and reserves classification, economic indicators including NPV, IRR, PIR and payback, cost estimation and capital budgeting, uncertainty and risk quantification using Monte Carlo simulation, decision analysis frameworks including decision trees and expected monetary value, portfolio analysis and capital allocation, and real options valuation for flexibility in petroleum investment decisions. Participants work through realistic project evaluation cases from exploration through development and abandonment.
Why This Course Is Required?
The IEA World Energy Investment report consistently documents that upstream oil and gas capital allocation decisions, totaling over USD 500 billion per year globally, are made under conditions of significant price, cost and geological uncertainty, with project evaluation methodology quality directly determining whether that capital is allocated to value-creating versus value-destroying projects.[1] The gap between organizations with rigorous project evaluation capability and those without is directly visible in capital efficiency metrics, reserve replacement performance and long-term shareholder returns.
Fiscal regime complexity has increased substantially over the past decade, with production sharing contracts, royalty-tax regimes, service contracts and hybrid structures varying significantly across jurisdictions in ways that make pre-tax and post-tax project economics diverge materially. Professionals who cannot model fiscal terms accurately cannot compare projects across jurisdictions or advise governments on fiscal policy design from an evidence base.[2]
Risk quantification is where the gap between competent and excellent project evaluation is widest. Deterministic sensitivity analysis tells a decision-maker which variables matter most; Monte Carlo simulation tells them what the full probability distribution of outcomes actually looks like. Organizations whose investment committees have never seen a proper probabilistic project evaluation are making billion-dollar decisions with an incomplete picture of the downside.
Capital allocation decisions in petroleum are irreversible and long-lived. Register for the Petroleum Economics, Project Evaluation and Risk Decision Analysis Masterclass and develop the analytical capability to make and advise on those decisions rigorously.
Course Objectives
Attendees will learn about the following areas:
- Applying time value of money and discounted cash flow methodology to upstream petroleum project evaluation
- Modelling production profiles and translating reserves estimates into cash flow projections
- Calculating and interpreting NPV, IRR, PIR, payback and other economic indicators in petroleum project context
- Modelling global fiscal regime types: royalty-tax, production sharing contracts, service contracts and hybrid structures
- Quantifying project risk and uncertainty using Monte Carlo simulation and sensitivity analysis
- Applying decision tree analysis and expected monetary value to exploration and development investment decisions
- Evaluating portfolio-level capital allocation and project ranking under budget constraints
- Applying real options valuation to phased investment decisions and flexibility in petroleum projects
- Integrating geological, technical and commercial risk assessments into a unified project evaluation
- Structuring and presenting investment proposals to investment committees and government approving authorities
Training Methodology
Zoe Talent Solutions follows the Do-Review-Learn-Apply model, building petroleum economics competence through progressive project evaluation case studies using spreadsheet models rather than lecture-based theory. Each training day begins with a conceptual framing session that introduces the methodology, followed immediately by a hands-on workshop in which participants apply that methodology to a realistic upstream project dataset. This sequence ensures that every concept is tested against real numbers before the session closes.
Participants construct full project economic models from scratch starting from production profile inputs, moving through cost estimation and fiscal regime application, and arriving at NPV, IRR and risk-adjusted value outputs. Monte Carlo simulation workshops use industry-standard software tools to develop practical risk quantification skills, with participants building their own input distributions and interpreting their own output distributions rather than reading pre-built examples. Decision tree exercises are constructed and solved in workshop sessions, with peer review and faculty debrief that surfaces the reasoning behind each structure and rollback calculation. Exploration risking and portfolio analysis modules require participants to work in small teams, simulating the multi-disciplinary nature of real investment committee preparation.
Each participant develops a complete integrated evaluation for a realistic exploration or development project as a capstone exercise, applying all course tools DCF, fiscal modelling, Monte Carlo, decision analysis and portfolio ranking in a single coherent analysis that they present to the group for critique. Feedback is structured around the criteria that real investment committees use, so participants leave with direct experience of what rigorous project evaluation looks like from both sides of the table. The course agenda may be adjusted according to time availability and audience requirements to ensure complete coverage of all critical modules.
Who Should Attend?
- Upstream petroleum engineers and geoscientists involved in project evaluation
- Oil company commercial and business development professionals
- Government petroleum ministry officials responsible for licensing, fiscal design or project approvals
- National oil company investment analysts and portfolio managers
- Oil and gas investment bankers, private equity professionals and analysts
- Petroleum economists transitioning into senior evaluation or advisory roles
- Regulatory agency officials requiring project economics literacy for license and field development plan assessment
Organizational Benefits
- More rigorous capital allocation decisions grounded in consistent, comparable economic evaluation methodology across the project portfolio, reducing the risk of committing capital to projects whose true economics were not properly understood at the time of approval.
- Improved fiscal regime literacy enabling more accurate post-tax project valuation across multiple jurisdictions, and better-informed negotiating positions when engaging with governments on fiscal terms and concession agreement design.
- Stronger risk quantification processes that surface the full probability distribution of project outcomes before commitment, giving investment committees the information they need to make informed decisions about risk exposure rather than relying on base-case point estimates.
- Better portfolio management and capital allocation under budget constraints, with project ranking methodology that enables like-for-like comparison across projects of different size, risk profile and fiscal structure.
- Higher-quality investment proposals for presentation to boards, investment committees and government approving authorities, with probabilistic analysis and decision tree support that demonstrate analytical rigor and build decision-maker confidence.
Personal Benefits
- A complete, integrated petroleum project evaluation skill set covering technical, fiscal, risk and decision analysis dimensions directly applicable to the participant’s day-to-day project evaluation and investment advisory work rather than requiring further translation from theory to practice.
- Proficiency in building and interrogating upstream project economic models using spreadsheet tools, including the ability to audit and challenge models built by others a critical skill for anyone reviewing or approving project evaluations rather than simply accepting their outputs.
- Monte Carlo simulation and decision tree skills that significantly strengthen the participant’s analytical credibility in investment committee presentations, government negotiations and advisory engagements.
- Enhanced professional standing as a petroleum economist or project evaluator, with a structured, internationally recognized methodology that supports career progression into senior evaluation, portfolio management and advisory roles.
Course Outline
Module 1: Upstream Petroleum Operations and Economics
- Upstream value chain: exploration, appraisal, development, production and abandonment
- Cost structure: exploration costs, development capex, operating costs and abandonment provisions
- Reserves classification: SPE-PRMS categories and their economic implications
- Production profiles: decline curve analysis and profile construction from reserves estimates
- Commodity price assumptions: spot, forward and long-run price forecasting approaches
Module 2: Time Value of Money and DCF Analysis
- Time value of money: compounding, discounting and the discount rate selection debate in petroleum
- Building the upstream cash flow model: revenue, costs, taxes and capital expenditure timing
- NPV, IRR, PIR and payback: calculation, interpretation and decision rules
- Incremental economics: evaluating investment decisions at the margin
- Common modelling errors in petroleum DCF analysis and how to avoid them
Module 3: Fiscal Regime Modelling
- Royalty-tax regimes: structure, government take calculation and company net cash flow modelling
- Production sharing contracts: cost recovery, profit oil split and contractor take calculation
- Service contracts: risk service and pure service contract economics
- Hybrid and windfall profit tax regimes: modelling progressive fiscal terms
- Comparing government take and contractor economics across fiscal regimes and price scenarios
Module 4: Sensitivity Analysis and Uncertainty
- Deterministic sensitivity analysis: tornado diagrams and key value driver identification
- Scenario analysis: base, upside and downside case construction and interpretation
- Break-even analysis: minimum price, minimum production and maximum cost breakevens
- Limitations of deterministic analysis and the case for probabilistic methods
- Identifying and characterising input uncertainty distributions for petroleum variables
Module 5: Monte Carlo Simulation
- Monte Carlo simulation principles: random sampling, iteration and output distribution construction
- Selecting and fitting probability distributions to petroleum input variables
- Correlation between variables: geological and price correlation modelling
- Interpreting simulation outputs: P10/P50/P90 values, expected value and value at risk
- Communicating probabilistic results to decision-makers and investment committees
Module 6: Decision Analysis and Decision Trees
- Decision analysis framework: decisions, uncertainties, outcomes and preferences
- Decision tree construction: decision nodes, chance nodes and outcome values
- Expected monetary value calculation and rollback methodology
- Value of information: EVPI and EVSI calculation for appraisal and seismic investment decisions
- Utility theory and risk aversion in petroleum investment decisions
Module 7: Exploration Economics and Risking
- Geological chance of success: component probabilities and combined COS estimation
- Prospect volumetric uncertainty: GRV, NTG, porosity, saturation and recovery factor distributions
- Risked expected value for exploration prospects: calculation and portfolio implications
- Farm-in economics: carried interest, back-in rights and working interest transactions
- Exploration portfolio construction: balancing risk, expected value and capital exposure
Module 8: Portfolio Analysis and Capital Allocation
- Portfolio-level economic metrics: aggregate NPV, risked value and capital efficiency
- Project ranking under capital constraints: PIR, NPV per dollar invested and portfolio optimization
- Portfolio risk diversification: geological and price correlation effects at portfolio level
- Real options in petroleum portfolios: phasing, deferral, abandonment and expansion options
- Investment proposal structuring for board and government approvals
This masterclass gives you the tools to move from gut-feel project rankings to evidence-based investment decisions. Enroll in the Petroleum Economics, Project Evaluation and Risk Decision Analysis Masterclass and bring that analytical capability back to your organization.
Real World Examples
North Sea Mature Field Redevelopment Economics
North Sea late-life field redevelopment decisions in the UK and Norwegian sectors provide recurring real-world cases of incremental economics, fiscal breakeven analysis and decision tree application, where operators must evaluate whether additional capital investment in enhanced recovery, new wells or infrastructure tiebacks creates value under the applicable fiscal regime and price scenario range.
West Africa Deepwater PSC Negotiations
Deepwater production sharing contract negotiations across West African jurisdictions including Nigeria, Ghana, Senegal and Mozambique have tested the full spectrum of PSC fiscal modelling skills, with government take, cost recovery caps, profit oil splits and local content requirements all materially affecting contractor economics and requiring rigorous post-tax NPV analysis to inform negotiating positions.
LNG Project Decision Analysis: Australian Liquefaction Wave
The wave of Australian LNG investment decisions in the 2008 to 2014 period, involving projects of USD 30 to 60 billion each, required integrated geological, engineering and commercial risk quantification and formal decision analysis under extreme capital commitment and long-dated price uncertainty, providing one of the richest real-world case study environments for petroleum project evaluation methodology.
References
[1] International Energy Agency. World Energy Investment 2024. Paris: IEA, 2024. Available at: https://www.iea.org/reports/world-energy-investment-2024
[2] Society of Petroleum Engineers. Petroleum Resources Management System (PRMS), Revised June 2018, v.1.03. Houston: SPE, 2022. Available at: https://www.spe.org/media/filer_public/0c/83/0c835db9-501f-4ce7-97f1-a1d6bb4e3331/prmgmtsystem_v103.pdf
[3] International Energy Agency. World Energy Outlook 2024. Paris: IEA, 2024. Available at: https://www.iea.org/reports/world-energy-outlook-2024
