1999 SPE Hydrocarbon Economics and Evaluation Symposium Implementing Portfolio Management: Issues, Insights, and Answers? John I. Howell Portfolio Decisions, Inc. Roger N. Anderson Columbia Enterprise Systems © Portfolio Decisions, Inc. 1999 Three Issues for Consideration: 1. Why use Portfolio Management? 2. Who is the End User? 3. What are some Critical Success Factors for Implementing Portfolio Management? © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Why Implement Portfolio Management? Because Current Performances are all over the Map! © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES 1. Why use Portfolio Management? • Quantify volatility in performance, • Test feasibility of strategies, • Identify significant and detrimental projects, • Define unique value of investments, • Evaluate investment options, & • Monitor business performance. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Do NOT use Portfolio Management to: • “FIND THE ANSWER”! • Instead, use it to make better Decisions, • and Improve the Probability of consistently meeting your Strategic Goals. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES 2. Who is the End User? • Portfolio Management relies on input and interaction with: – Geoscientists – Planners -Engineers -Portfolio Managers • BUT, the end user is the Decision-Maker who is responsible for managing business performance. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES 3. What are some Critical Success Factors? 1. Establish a Clear Portfolio Process, 2. Set Commonly understood, Clear Strategy, 3. Develop Strong Relationships among key staff (the soft side), & 4. Always aim for High Quality Decision Framing. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: 1. The Process INPUT ANALYSIS OUTPUT Capture Learnings Strategy SYNTHESIS DECISION Business Issues Feasibility Analyze Scenarios Project Data Efficient Frontier Cultural Issues Investment Options Project Economics Database © Portfolio Decisions, Inc. 1999 Dallas Decision Feedback Loops 1998-1999 PDI 1999 SPE HEES ã Copyright Critical Success Factors: 2. The Strategy 800 Net Income NCF 500 300 400 600 250 300 400 200 200 200 0 150 100 100 0 50 -1001999 2002 2005 2008 2011 1999 2002 2005 2008 2011 -200 Production 200 -200 100 0 1999 Expl Expense 2002 2005 2008 2011 Reserves 350 2500 300 150 Capital 250 2000 200 1500 150 1000 100 50 500 50 0 0 1999 2002 2005 2008 2011 1999 2002 2005 2008 2011 © Portfolio Decisions, Inc. 1999 Dallas 0 1999 SPE HEES 1999 2002 2005 2008 2011 Strategy is how you define success (the target bars above)! Critical Success Factors: 3. Relationships (The Soft Side) Maps & Reservoir Economics Decisions & Business Performance Monitoring = Engineers and Geo-scientists Strategy & Goals = The Decision-Maker = Planning Staff & Portfolio Manager © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: 4. Decision Framing • … since Portfolio Management doesn’t give THE answer, and • … since decisions may depend on both quantitative and subjective inputs gathered from others (via relationships), • How then do you put all the information together to reach clear and consistent decisions? Answer: By Properly Framing the Decision © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: 4. Decision Framing 1. Clearly Define the Problem to be solved, 2. Clearly Define the Decision Criteria, 3. Generate Realistic Options, & only then, 4. Evaluate the Options relative to the Decision Criteria, & 5. Make Decisions. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: Decision Framing 1. Clearly Define the Problem • Are you testing strategies, or defining/allocating performance targets? – Are you adjusting targets and constraints within a fixed project set? • Are you evaluating project plans, or investment/divestment options? – Are you adjusting projects to meet fixed targets and constraints? • Are you monitoring your business performance? – Are you computing probability of meeting targets with fixed projects? © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: Decision Framing 2. Clearly Define the Decision Criteria • Quantitative: – Does the Investment being discussed Contribute? – Does the Project under consideration add Value? – Does the Project improve the Probability of meeting performance metrics? – How bad can “poor performance” be? – Why is the Project Valued? • Subjective: – What are the implications and tradeoffs for the investment? – What are the political/commercial impacts? © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: Decision Framing 2. Clearly Define the Decision Criteria (cont) 1000 Net Income NCF 1000 800 Capital 800 800 600 400 600 600 400 400 200 200 0 -2001999 -400 200 0 2002 2005 2008 2011 -2001999 -600 2002 2005 2008 2011 1999 -400 Production 350 300 0 3000 250 2500 200 2000 150 1500 100 100 1000 50 50 500 0 0 200 150 0 1999 © Portfolio Decisions, Inc. 1999 Dallas 2002 2005 2008 2011 1999 SPE HEES 1999 2002 2005 2008 2005 2008 2011 2008 2011 Reserves Expl Expense 300 250 2002 2011 1999 2002 2005 Critical Success Factors: Decision Framing 3. Generate Realistic Options Does Project 16 contribute positive value, and how much? © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Critical Success Factors: Decision Framing 4. Evaluate Options in terms of Decision Criterion Efficient Frontier Comparison 1200 1000 With Project 16 Original Portfolio Risk 800 Portfolio Value 600 400 200 0 3000 3500 4000 4500 5000 5500 6000 Value © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Does Project 16 add value? How Much? Critical Success Factors: Decision Framing 4. Evaluate Options in terms of Decision Criterion (cont) 1 0.8 0.6 0.4 Original w/ New Acquisition © Portfolio Decisions, Inc. 1999 Dallas Reserves Exploration Expense Production 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 0.2 0 Capital Net Cash Flow Net Income 1 0.8 0.6 0.4 0.2 0 1999 SPE HEES 1 0.8 0.6 0.4 0.2 0 Probability of meeting performance metrics/year? Critical Success Factors: Decision Framing 4. Evaluate Options in terms of Decision Criterion (cont) © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES How bad can “poor performance” be? Critical Success Factors: Decision Framing 4. Evaluate Options in terms of Decision Criterion (cont) Why is a project valued by the portfolio? © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Generic E&P Portfolio Critical Success Factors: Decision Framing 5. Make the Decision • Quantitative Factors: – Project 16 portfolio value is $250MM in a 5.5B portfolio, + – Project 16 reduces risk for all portfolio values, + – Project 16 improves probability of meeting near-term NCF and Net Income targets, BUT – Project 16 guarantees failure to meet near term capital target, – Project 16 inclusion reduces probability of meeting mid- and long-term reserves and production targets. • Subjective Factors: – Project 16 requires we maintain operations in an area we do not currently operate in, + © Portfolio Decisions, Inc. 1999 1999 SPE HEES Dallas – Project 16 has no opportunity for expansion. Critical Success Factors 5. Make the Decision • Project 16 clearly adds value, • But, current price concerns suggest income and cash flow summaries may be optimistic, • So, near-term improvements in income and cash flow outweigh long-term degradation in production and reserves, & • Lack of expansion opportunities is overcome with reduced dependence on exploration programs, so • MAKE THE INVESTMENT! © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Summary: A Perfect Implementation Environment • Uses Portfolio Management to improve the probability of consistently meeting your strategic goals. • All portfolio information comes together at the Decision-Maker. • Successful implementation depends upon process, strategy, culture, and in particular, proper decision framing. © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES Summary: A Perfect Implementation Environment • A knowledgeable and engaged DecisionMaker + • A well defined Business Strategy + • Consistently described risk and uncertainty for all investments, + • A clearly defined decision process! © Portfolio Decisions, Inc. 1999 Dallas 1999 SPE HEES