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Oxford Management Centre

Financial Modelling and Petroleum Project Economics

Available dates

Dec 29, 2019—Jan 9, 2020
10 days
Dubai, United Arab Emirates
USD 9900
USD 990 per day
Jul 13—24, 2020
10 days
Houston, Texas, United States
USD 13900
USD 1390 per day
Dec 27, 2020—Jan 7, 2021
10 days
Dubai, United Arab Emirates
USD 9900
USD 990 per day

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About the course

Many senior and middle managers do not utilise Excel to its maximum potential. Instead they use it as they would a calculator. If you fall into this category then this training course is for you. Having completed this Oxford ten day training course you will have the requisite tools to utilise Excel to its fullest and be better equipped to challenge decisions. In addition, if you work in the upstream or downstream, and your career progression is being restricted by outdated knowledge of modelling techniques then this Oxford Financial Modelling and Petroleum Project Economics training course will help you move your career forward.

Highlights of this Oxford training course include:

  • A course which takes delegates from Excel basics to the most advanced use of Excel
  • Real world approach to the discipline
  • Numerous examples based around the oil and gas industry
  • Dual approach that not only develops modelling skills but also financial management skills

Objectives

This Oxford training seminar provides delegates with the tools required to find better answers to questions such as:

  • How to improve the quality of the quantitative analysis of my corporate presentations
  • How to model and advise on hedging price changes in the oil and gas industry
  • How to model investment appraisal techniques and utilise decision trees to model the option to abandon

Training Methodology

Each of the sessions will involve formal lectures, demonstration of modelling techniques and the opportunity for practical application. Screen recordings of important techniques and examples will be made available to delegates to assist in the practical applications and to facilitate application of the techniques used when they approach to the workplace.

Organisational Impact

By sending delegates on this 10 Day Programme in Financial Modelling & Petroleum Project Economics, your organisation will benefit by:

  • Providing your staff with the opportunities to develop high level financial management techniques appropriate to the Oil and Gas industry
  • Updating their quantitative techniques to enable them to make better informed decisions
  • Transforming their Excel skills so that the leave with advanced knowledge of Excel for financial modelling

Personal Impact

By attending this Oxford training course, you will:

  • Have advanced ability in financial modelling using Excel
  • Have a larger skills set when contributing to corporate decisions
  • The ability to question important decisions formed using financial modelling

Course Outline

Module I: Oil and Gas Financial Modelling - A Practical Approach

DAY 1 An Introduction to the Excel Environment, with Oil and Gas based Examples

  • A Quick-start Tutorial for Excel
  • Describing Data Sets using Statistics
  • Representing Data Sets Graphically
  • Understanding the Concept of Normal Distribution
  • Trend Analysis using Excel
  • Time Series Analysis
  • Mini-Case Studies

DAY 2 Statistical Analysis (Applied to the Oil and Gas Industry) Using Excel

  • Use of Excel Functions for Statistical Analysis
  • Descriptive Statistics
  • Mean, Median, Standard Deviation, Skewness and Kurtosis
  • Use of Scatter Diagrams, Frequency and Histogram Distribution
  • Regression Techniques to Calculate Cost of Equity Financing
  • Analysis of Equity Returns of Oil and Gas Industry Companies
  • Mini-Case Studies

DAY 3 Investment Appraisal Using Excel

  • Investment Appraisal using NPV, IRR and Payback as applied to the Oil and Gas industry
  • Use of Excel Functions for Investment Appraisal: IRR, PV and NPV
  • Modified Internal Rate of Return (MIRR)
  • Use of Scenario Analysis and Stress Testing
  • Predicting Financial Distress
  • Mini-Case Studies

DAY 4 Financial Analysis in the Up and Down Stream Oil and Gas Industry

  • Introduction to Financial Statements
  • Ratio Analysis applied to the Oil and Gas Industry
  • Ratios as a System – Pyramids of Ratios
  • Financial Modelling
  • Cash Flow Forecasts using Excel
  • Mini-Case Studies

DAY 5 Oil Product Spreads

  • Examining the Relationship between Energy Products
  • Differences between Data Sets
  • Correlation Analysis
  • Confidence Intervals
  • Analysis Of Variance (ANOVA)
  • Mini-Case Studies

Module II: Petroleum Project Economics & Risk Analysis

DAY 6 Cashflow Analysis

  • Familiarization with Economic Terms
  • Setting up Cashflow Calculation
  • Depreciation Methods
  • Loss Carry Forwards
  • Inflation
  • Nominal & Real Cashflow
  • Sunk Costs
  • Project Financing

DAY 7 Economic Indicators

  • 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

DAY 8 Risks and Uncertainties

  • Risk & Uncertainty
  • Expected Value Concept
  • Decision Tree Analysis
  • Farm-out Decision
  • Probability Analysis
  • Sensitivity Analysis
  • Probability Distribution
  • Monte Carlo Simulation

DAY 9 Setting up Spreadsheet Calculation

  • Introduction to Spreadsheet Calculation
  • Simple Cashflow using Excel
  • NPV Calculations
  • Application of Economic Indicators
  • Class Discussion

DAY 10 Setting-up Oil Field Development Model

  • Group Activities
  • 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

Who should attend

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Oil & Gas Field Engineers
  • Oil & Gas Managers
  • Oil & Gas Auditors
  • Oil & Gas Planners
  • Financial Analysts
  • Decision-makers and Financial Modelers in the up-stream and down-stream Oil and Gas industry
  • High level Managers integral to the decision making process who wish to develop their financial modeling skills

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