Clarifying the path to high-quality LNG investment decisions Stephen Thompson, Asia Pacific Regional Manager Charles N. White, Senior Consultant © POTEN & PARTNERS 2008 CONFIDENTIAL AOG 2015 11 March, Perth Poten: oldest and largest specialist LNG consultancy Unique breadth and depth in the industry • • Worldwide reach MARKET Support from strategy to execution COMMERCIAL POTEN • 40 full-time professionals, 5 senior advisors and over 600 years of energy experience Covers all major functions MERLIN • Consultant experience as senior decision makers in leading companies TECHNICAL © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 1 SHIPPING The case for adopting high quality decision making (QDM) practices © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 2 These are definitely turbulent times In January 2014: • Asian spot LNG prices hit $20/MMBtu • European re-exports reached 0.5 MMt/m • Henry Hub surged to $6/MMBtu • CNPC entered Yamal with 20% equity • Petronas sanctioned second FLNG vessel © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 3 The path to high-quality LNG investment decisions • Under today’s business environment, making the right decision is tougher than ever Thought World • DECISION MAKING Actions World The right decision is like a good marriage • • • Complementarity across disciplines and geography Balance between multiple goals Discipline When complexity and value are high, structured Decision Quality processes allow qualified teams to achieve success © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 4 The stage-gate development process is not a cure-all Like a line of elephants Screen Assess x Develop x Execute x A key objective of stage-gate project development is to avoid looping back When does “no turning back” change from being the outcome of sound process to an a priori commitment? The stage-gate rationale: relative cost of fixing design errors © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 5 The first generation of “stage-gate process” projects Study of Top 190 Oil & Gas Projects Average delay of 12 months 60% Venture cost overruns 50% 40% 30% 20% 10% 0% Pluto QCLNG GLNG Gorgon APLNG Wheatstone Ichthys Note: Ichthys increased its budget by 70% shortly before FID © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 6 New tools depend on user will and skill • First generation practices • • • • • Newer tools • • • • • Pros & Cons Value Engineering Economic models with sensitivity analysis Decision trees Comprehensive, structured processes Dynamic optimization Portfolio simulation Advanced Multi-Criteria Analysis / with spatial data bases Adoption is often • • • Slow Driven by ‘evangelists’ lacking detailed specific knowledge Blighted by pitfalls © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 7 Garbage in, garbage out (pitfalls) © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 8 Error #1: Professional tunnel vision For LNG investments, good decisions require a broad view of the value chain • Optimization is holistic and iterative – project teams must consciously avoid fragmentation FRAMING TECHNOLOGY FOCUS © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 9 Error #1: Professional tunnel vision For LNG investments, good decisions require a broad view of the value chain • Optimization is holistic and iterative – project teams must consciously avoid fragmentation • The best “technical solution” addresses commercial + shipping + marketing TECHNOLOGY FOCUS © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 10 HIGH WIN Error #2: Talking past each other Oil Price NO Optimization vs regret minimization • In this schematic decision tree, the optimal decision would be to “buy” Australian LNG • • • • • HH availability HIGH YES TIE HIGH Oil Price Five “wins” vs. two “losses” Regret-minimizing decision is “do nothing” WIN LOW WIN HH Price LOW HIGH Zero possibility of a loss WIN Competing agendas if hidden undermine decision quality Errors #1 and #2 lead to teamwork in name only BUY Oil Price LOW NO WIN LOW HH availability HIGH YES LOSE Oil Price LOSE LOW Purchase Decision DO NOTHING © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 10 $0 Error #3: Introspective data bias • Effective benchmarking means that four conditions are met • • • • • Comparative data includes a rich enough variety to stimulate alternative thinking Data compared is really comparable – not too noisy to be useful Data can be interrogated to uncover roots of divergence and pros & cons of change Iteration between benchmark data and design improvement is fast enough to create a “virtuous circle” of improvement Few projects engage in effective benchmarking Benchmarking at the highest level EPC contractor margin Labor cost Bulk materials cost $ million Engineering charges Supply/Erect materials cost Equipment cost Project ID A B C D © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 11 E F G H I Error #4: Loss of objectivity Assessing/achieving decision quality 1 Appropriate frame 2 Clear Valuation System 3 Creative, doable options 4 Useful information 5 Logical reasoning 6 Commitment to Action 7 Decision Quality Assurance 8 Timely monitoring/review • • Project teams suffering errors #3 and #4 get caught in decision limbo Decision quality assurance checks (DQA) should be done by external experts not emotionally invested in project decision trajectory © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 12 Your “weighty” decision Real life challenges ahead for major projects © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 13 Coming trials demand high quality decision making Major pending projects • Australia • East Africa • SE Asia Key technology challenges • Long-reach subsea tiebacks still face well-known issues • “New” technologies face many unknowns Key risks • Non-technical • Technical Jansz-Io will soon produce as subsea tieback from >120km offshore © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 14 Screening may be needed to identify a manageable set of options • After a solid framing effort has clearly established the decision context • The team must identify a meaningful range of options to evaluate Poten’s Opportunity Screening Tool is tailored to each client’s culture, values, and decision criteria A Criteria B Criteria C Criteria D Criteria E Criteria © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 15 F Criteria G Criteria H Criteria I Criteria Quality decision making practices lead the way to high quality LNG investments • Strong QDM practices deliver value amid turbulence • Awareness of decision traps is helpful but not sufficient • Poten’s rational, highly interactive processes find the highest value path forward for LNG investors • • • • Liquefaction: Detailed schedule and cost simulation identified major risks off lead sponsor’s “radar screen” Shipping: Dynamic simulation of LNG carrier fleets identified ~$0.5 billion savings for a major IOC Marketing and procurement: Dynamic optimization to achieve risk/ return portfolio balance and negotiate contract pricing terms Project benchmarking and screening © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 Page 16 NATURAL GAS & LNG CONSULTING CONTACTS: © POTEN & PARTNERS 2009 CONFIDENTIAL February 2015 MONTH 2009 AMERICAS (NEW YORK) Contact: Jim Briggs Email: [email protected] Tel: +1 212 230 2000 AMERICAS (HOUSTON) Contact: Doug Brown Email: [email protected] Tel: +1 713 344 2378 Page 17 EUROPE, M. EAST, AFRICA ASIA PACIFIC Contact: Graham Hartnell Contact: Stephen Thompson Email: [email protected] Email: [email protected] Tel: +44 20 3747 4820 Tel: +61 8 6468 7942
© Copyright 2024