A PMI Registered Training Course

Petroleum Project Economics & Risk Analysis

Techniques for Opportunity Evaluation and Assessment of Risk and Uncertainty

22 - 26 Dec 2025
London
| $5950
12 - 16 Jan 2026
Dubai
| $5950
30 Mar - 03 Apr 2026
London
| $5950
27 Apr - 01 May 2026
Dubai
| $5950
22 - 26 Jun 2026
Dubai
| $5950
24 - 28 Aug 2026
London
| $5950
14 - 18 Sep 2026
London
| $5950
09 - 13 Nov 2026
Dubai
| $5950
21 - 25 Dec 2026
London
| $5950
13 - 17 Jul 2026
Online
| $3950
12 - 16 Oct 2026
Online
| $3950

Introduction

Exploration and Production companies often must evaluate their potential E&P investment using proper present value analysis of expected future cashflows. From the projected cashflows and required investments, the annual rate of return and other project economic indicators can be extracted to evaluate the significance of company investment.

This Petroleum Project Economics & Risk Analysis training course provides practical guidance in the application of the techniques of the economic analysis currently used in the Oil & Gas industry. When executing a petroleum related project, one should be able to choose the best alternative from economic point of view as well as to properly evaluate various investment opportunities by determining economic indicators and sensitivity analysis. Techniques for predicting profit, production, costs, and cashflow enable the analyst to evaluate decision alternatives for optimum results. Understanding economic indicators, risk and uncertainty, different economic structures such as tax regimes and production sharing contracts, enhances the quality and the value of economic analysis.

This GLOMACS training course will highlight:

Key Learning Outcomes

The primary objectives of this training course are to:

Training Methodology

The training course approach is based on principles of economic evaluation of petroleum related project with focusing on step by step developing economic models, determining economic indicators, evaluating and quantifying risks and uncertainties and making the right investment decision for the project. To facilitate that, the Microsoft Excel based economics modules will be built and all discussions will be provided using high quality power point slides.

Petroleum Project Economics & Risk Analysis

Who Should Attend?

By sending delegates on this GLOMACS  Petroleum Project Economics and Risk Analysis training course, your organization will benefit by:

  • Participants learn about the application of economic valuation and risk assessment processes and techniques within the global Oil & Gas industry
  • Help the participants to identify and analyse the risk involved in a petroleum related project
  • Help the participants to apply the decision-making procedures to justify the petroleum projects in term of profitability
  • Help the participants to recognize the uses of options in the ranking criteria to select and execute the high profitable project
  • Putting values to the Oil & Gas companies’ active project through interpretation of economic results of applied case studies
  • Help participants to recognize and identify the influencing parameters for oil and gas field developments

Learning Journey Breakdown

  • Familiarization with Economic terms
  • Setting up Cashflow Calculation
  • Depreciation Methods
  • Loss Carry Forwards
  • Inflation
  • Nominal & Real Cashflow
  • Sunk Costs
  • Project Financing
  • Economic Indicators Definitions
  • Present Value Concept
  • Discount Factor
  • Net Present Value
  • Internal Rate of Return
  • Effect of Project Delay
  • Payback Period
  • Profit / Investment Ratio
  • Incremental Projects
  • Risk & Uncertainty
  • Expected Value Concept
  • Decision Tree Analysis
  • Farm-out Decision
  • Probability Analysis
  • Sensitivity Analysis
  • Probability Distribution
  • Monte Carlo Simulation
  • Introduction to Spreadsheet Calculation
  • Simple Cashflow using Excel
  • NPV Calculations
  • Application of Economic Indicators
  • Class Discussion
  • Setting up an Integrated Economic Model of a Typical Oil Field Development
  • Project Sensitivity Analysis for the Selected Model
  • Introduction to Russell Field Model
  • Final Remarks

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