This program is designed to provide participants with an integrated and practical understanding of financial analysis tools and techniques for the oil and gas industry that are related to building proforma project analysis, learning different methods of financial analysis, and applying different risk analysis tools to projects. The instructional format capitalizes on a careful balance of formal lectures by leading experts and specially developed workshops and business games.
$4,750 – $8,700
This program is designed specifically for energy managers, supervisors, and key employees from broad functional areas, such as finance, technology, and project development who wish to expand their knowledge of financial modeling and petroleum project economics.
Lecture Unit 1
Oil and gas measurements and units; value chains; market structures; worldwide oil and gas economics; major players; evolution of the integrated oil and gas business.
Basic financial and accounting concepts and standard technology; depreciation, impairment and acquisition accounting; financial statements; accounting for investments; equity methods and consolidations.
Background needed to understand and build models of the four key corporate financial statements; review and discussion of key measures of financial performance; consideration of the measures used by major companies and of participant’s companies; steps required to build proforma financial projections.
Definition of various industry terms; classification of reserves and resources; introduction of two major accounting options to account for oil and gas costs: successful efforts and full cost; GAAP filing and valuation methods to comply with SEC filing requirements, includes asset impairment and asset retirement obligations.
Corporate and project financing; sources of debt and equity financing; public and private sources of capital; multilateral and bilateral sources of financing; risk assessment and mitigation; structuring of financing; preparing the financing plan; negotiating the term sheet; preparing the financing documents; closing. Case Studies – Examples of Project Financing: Qatar Gas Project; Colombia Power Project; U.S. Gas Storage Project.
Project cash flow analysis, discounting cash flow to obtain present value and internal rate of return, the cost of capital and the effect of debt financing, other measures of project performance; sensitivity to changes in key variables.
Using the balanced scorecard framework, regression analysis, and flexible budgeting, how does the organization earn profits? What are the key strategic drivers of financial success?
“True costs” of developing and delivering products and services; Using gross profit analysis, activity/based costing techniques, and cost variance schedules.
Using the business model, volume, expense, and revenue data to construct and understand financial reports; Using balance sheets, income statements, cash flow statements, ratio analysis, and performance outcomes measurements.
Lecture Unit 2
The fundamentals of economics: background of and its application to the oil and gas industries.
Identifying and quantifying energy projects risks and uncertainty into project analysis; using statistical measures to quantify risk; two key risk assessment methods: scenario analysis and sensitivity analysis.
Identifying “trouble spots” that threaten the organization’s ability to generate profit and value. Using event inventories, target risk-return profiles, risk tolerance levels, and event tracking processes.
Introduction to probability theory, including probability density functions, overview of typical probability distributions and definition of key terms; applying probability theory in decision analysis with emphasis on concept of expected value.
Applying a structured method for investment decision analysis; understanding the implications of different sets of decisions; identifying areas to reduce risk and understand economic opportunity cost of capital; identifying implications of various forms of contracts; analyzing implications of incremental project decisions.
Prioritizing trouble spots by likelihood of occurrence and potential impact. Using likelihood / impact tables, inherent / residual risk charts, and “heat” maps.
Assessing the organization’s ability to respond to trouble spot “flare-ups” on paper and in reality. Using avoidance, sharing, reduction, and acceptance practices, as well as portfolio analysis techniques.
Extending the decision tree analysis framework for situations that include continuous probability scenarios; identifying power and limitations of simulations, emphasis placed on relevance of expected value; Crystal Ball commercial software used to model risk in financial model.
Formation evaluation; estimating reserves; field development; inflow performance; surface facilities design for both onshore and offshore operations; integrated reservoir management; enhanced recovery.
The history of energy price risk management; physical, forward and futures markets; typical futures market transactions; hedging, swaps and options; volume risk management; weather derivatives.
Introduction to and discussion of Real Options and Portfolio Optimization, two other key methods used extensively today by many oil companies to evaluate project opportunities; understanding how a collection of investments can decrease overall risk in the portfolio.
This business game is an integral part of the learning process. Participants, divided into teams, make real-life technical, financial, and market decisions that commonly confront managers today. Team performance is measured on a financial basis and is catalyzed by healthy competition.
Participants, working in teams, will evaluate an oil and gas business opportunity in the Republic of “Oceana,” near Indonesia. They build a financial model that will integrate various risks associated with the investment. This model will utilize a proposed Production Sharing Agreement and incorporate revenue, capital and operating costs, financing costs, and tax projections for the life of the project.
Throughout the program, teams will add layers of complexity to the model by incorporating the different types of risk analysis tools presented in the lectures. The teams will present their project analysis to a decision review board by outlining the risk profile and expected performance measures of the project. They then learn the outcome of those decisions. Emphasis will be placed on the practical implementation of the tools presented in lecture and on developing practical fi nancial modeling skills.
Workshop Unit 2
Note: For Workshop details see Unit One. The Asia Onshore Business game is run during Units One and Two of the Financial Modeling and Petroleum Project Economics program.