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Petroleum Project Economics & Risk Analysis Training Course

Shows how to model upstream oil and gas cash flows, apply fiscal terms and economic indicators, and analyze risk for sound petroleum investment decisions.

PEEC · Petroleum Economics, Energy Markets & Commercial ManagementAll Levels#2966ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

The Petroleum Project Economics & Risk Analysis Training Course equips professionals with the methods oil and gas companies use to evaluate upstream investments, from the first exploration well through appraisal, field development, and production to final abandonment. Upstream projects commit large sums years before first oil or gas, under deep uncertainty about reserves, prices, costs, and schedule, and the quality of each decision depends on how well the economics and the risks are understood. The course follows the project life cycle and shows where the key economic decisions are made and what information is available at each decision point. Participants build an upstream cash-flow model step by step, combining production profiles, oil and gas price assumptions, capital and operating expenditure, abandonment costs, and working capital. They examine, at concept level, how fiscal terms such as royalty, taxes, cost recovery, and profit sharing change the cash flows received by the contractor and the host government, without entering into contract law. The program then covers the main economic indicators, including net present value, internal rate of return, payback, profitability index, unit costs, and breakeven price, together with the pitfalls that produce misleading results, and the consistent treatment of inflation, real and nominal terms, discount rates, and the cost of capital. A central focus is risk and uncertainty. Participants apply deterministic sensitivity analysis with spider and tornado diagrams, build consistent scenarios, use expected monetary value and decision trees for exploration, appraisal, and development choices, run practical Monte Carlo analysis to produce probabilistic economic outcomes, and estimate the value of acquiring more information before committing capital. The course also introduces portfolio thinking, showing how to rank projects under capital constraints and how each project contributes to the value and risk of the whole portfolio. Through spreadsheet exercises, a field development case study, and a final investment workshop, participants learn to turn analysis into a clear, well-supported investment recommendation for management and investment committees. The course complements general capital budgeting and lender-side project finance programs by concentrating on the technical, fiscal, and risk features that make upstream petroleum economics distinctive.

Learning Objectives

  • Explain the upstream project life cycle and identify the economic decisions made at exploration, appraisal, development, production, and abandonment.
  • Build an upstream cash-flow model that links production profiles, prices, capital expenditure, operating expenditure, and abandonment costs.
  • Incorporate working capital, timing conventions, and consistent units into petroleum project cash-flow models.
  • Assess, at concept level, how royalty, taxes, cost recovery, and profit sharing affect contractor and government cash flows.
  • Calculate and interpret net present value, internal rate of return, payback, profitability index, unit costs, and breakeven price.
  • Recognize the common pitfalls of each economic indicator and select the right measure for each type of decision.
  • Apply real and nominal terms, inflation and escalation assumptions, and discount rates consistently in project evaluation.
  • Identify the main sources of uncertainty in reserves, prices, costs, and schedule and assess their effect on project value.
  • Apply deterministic sensitivity analysis using spider and tornado diagrams and build internally consistent project scenarios.
  • Use expected monetary value and decision trees to structure exploration, appraisal, and development decisions.
  • Perform practical Monte Carlo analysis on project economics and interpret probabilistic results for management.
  • Estimate the value of information and apply portfolio thinking to rank competing upstream projects under capital constraints.
  • Prepare and present a clear, evidence-based investment recommendation to management and investment committees.

Who Should Attend

This course is designed for petroleum economists, planning and commercial analysts, reservoir and petroleum engineers, field development and project engineers, geoscientists, cost estimators, and finance professionals who prepare, review, or challenge the economic evaluation of upstream oil and gas projects. It is also relevant to new venture, business development, portfolio, and corporate planning staff, and to managers who take part in investment decisions at the exploration, appraisal, and development stages. The program is particularly valuable for national and international oil companies, exploration and production companies, petroleum ministries and regulators, government agencies that review field development plans, and banks, investment firms, and sovereign funds with upstream exposure. Technical specialists moving into commercial roles, and senior managers and investment committee members who approve upstream capital, will benefit most from its practical, decision-focused approach.

Learning Outcomes

  • By the end of the course, participants will be able to:
  • Describe the upstream life cycle and the economic decision made at each stage.
  • Build and check an upstream cash-flow model from production, price, and cost inputs.
  • Explain how royalty, taxes, cost recovery, and profit sharing change project cash flows.
  • Calculate net present value, internal rate of return, payback, and profitability index correctly.
  • Estimate unit costs and breakeven prices and explain what they reveal about a project.
  • Avoid common errors in economic indicators, inflation treatment, and discounting.
  • Identify the uncertainties in reserves, prices, costs, and schedule that drive project value.
  • Prepare spider and tornado diagrams and internally consistent project scenarios.
  • Apply expected monetary value and decision trees to exploration and appraisal choices.
  • Interpret Monte Carlo results and judge the value of acquiring additional information.
  • Rank competing upstream projects within a portfolio and under capital constraints.
  • Present a clear, risk-informed investment recommendation to management.

Course Outline

Course Outline:

Day 1

Upstream Life Cycle and Cash-Flow Modeling

  • Upstream life cycle: exploration, appraisal, development, production, and abandonment
  • Decision gates and the economic questions at each stage
  • Structure and timing conventions of an upstream cash-flow model
  • Production profiles: build-up, plateau, decline, and reserves
  • Oil and gas price assumptions, differentials, and price decks
  • Capital expenditure phasing and fixed and variable operating costs
  • Abandonment costs and working capital at concept level
  • Practical application: Build a pre-tax cash-flow model for a hypothetical field development
Day 2

Fiscal Terms, Inflation, and Discount Rates

  • How fiscal terms divide value between government and investor
  • Royalty and tax systems: concept-level cash-flow mechanics
  • Production sharing: cost recovery, cost oil, and profit oil
  • Government take, contractor take, and front-loaded terms
  • Inflation, cost escalation, and real versus nominal cash flows
  • Discount rates, weighted average cost of capital, and risk premiums
  • Mid-year and end-year discounting conventions
  • Practical application: Apply a royalty and tax regime and a production sharing regime to one field and compare results
Day 3

Economic Indicators and Sensitivity Analysis

  • Net present value and value creation
  • Internal rate of return: multiple and misleading results
  • Payback, maximum cash exposure, and profitability index
  • Unit technical costs and breakeven price
  • Indicator pitfalls and choosing the decision criterion
  • Incremental economics for phased developments
  • Spider and tornado diagrams for key value drivers
  • Consistent low, base, and high scenarios
  • Practical application: Calculate the case field indicators and produce spider and tornado diagrams
Day 4

Decision Trees and Probabilistic Analysis

  • Uncertainty in reserves, prices, costs, and schedule
  • Probabilistic reserves: P90, P50, P10, and the mean
  • Chance of success and expected monetary value for prospects
  • Decision trees for appraisal and development choices
  • Practical Monte Carlo analysis: inputs, distributions, and correlations
  • Reading cumulative curves, NPV ranges, and probability of loss
  • Value of information for appraisal and data acquisition
  • Practical application: Build an appraisal decision tree and run a Monte Carlo analysis on the case field economics
Day 5

Portfolio Ranking and Investment Recommendations

  • Portfolio thinking: diversification, risk, and value
  • Ranking projects under capital constraints
  • Balancing exploration, development, and producing assets
  • Consistent economic evaluation guidelines across a portfolio
  • Challenging optimism bias in project assumptions
  • Structuring the investment case for management
  • Presenting risk and uncertainty to decision makers
  • Post-investment reviews and lessons learned
  • Final workshop: Evaluate a hypothetical upstream project from cash flows to probabilistic results and present an investment recommendation to a simulated management committee

Upcoming Dates

Selected date

Madrid · 8 – 12 Mar 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
MuscatScheduled
2 – 6 Nov 2026€6,300—
MarbellaScheduled
2 – 6 Nov 2026€6,000—
OnlineScheduled
8 – 12 Nov 2026€2,700—
AbujaScheduled
16 – 20 Nov 2026€7,700—
ParisScheduled
16 – 20 Nov 2026€6,700—
AccraScheduled
23 – 27 Nov 2026€7,700€6,930until 2 Nov
AmmanScheduled
29 Nov – 3 Dec 2026€4,000€3,600until 9 Nov
AmsterdamScheduled
30 Nov – 4 Dec 2026€6,000€5,400until 9 Nov
BakuScheduled
7 – 11 Dec 2026€5,300€4,770until 16 Nov
BangkokScheduled
14 – 18 Dec 2026€6,700€6,030until 23 Nov
BeirutScheduled
20 – 24 Dec 2026€4,500€4,050until 30 Nov
BarcelonaScheduled
21 – 25 Dec 2026€6,000€5,400until 30 Nov
CairoScheduled
27 – 31 Dec 2026€3,800€3,420until 7 Dec
Cape TownScheduled
4 – 8 Jan 2027€7,700€6,930until 14 Dec
CasablancaScheduled
4 – 8 Jan 2027€4,700€4,230until 14 Dec
DammamScheduled
10 – 14 Jan 2027€4,800€4,320until 21 Dec
DohaScheduled
17 – 21 Jan 2027€4,700€4,230until 28 Dec
ErbilScheduled
24 – 28 Jan 2027€4,000€3,600until 4 Jan
DubaiScheduled
24 – 28 Jan 2027€4,700€4,230until 4 Jan
FrankfurtScheduled
1 – 5 Feb 2027€6,200€5,580until 11 Jan
IstanbulScheduled
1 – 5 Feb 2027€5,300€4,770until 11 Jan
JeddahScheduled
7 – 11 Feb 2027€4,800€4,320until 18 Jan
KigaliScheduled
15 – 19 Feb 2027€7,700€6,930until 25 Jan
Kuala LumpurScheduled
22 – 26 Feb 2027€4,700€4,230until 1 Feb
LisbonScheduled
22 – 26 Feb 2027€6,000€5,400until 1 Feb
LondonScheduled
1 – 5 Mar 2027€5,800€5,220until 8 Feb
MadinahScheduled
8 – 12 Mar 2027€4,800€4,320until 15 Feb
MadridScheduled
8 – 12 Mar 2027€6,000€5,400until 15 Feb
MakkahScheduled
15 – 19 Mar 2027€4,800€4,320until 22 Feb
MarbellaScheduled
22 – 26 Mar 2027€6,000€5,400until 1 Mar

Available in: Istanbul · Dubai · London · Doha · Amsterdam

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