Shell Plc · LSE:SHEL

Shell — Royal Dutch Shell — Investor Presentation (September 2017)

36 slides from Shell's investor presentation, Sep 6, 2017

  1. Slide 1: Shell scenarios, modelling and decision making

    Shell scenarios, modelling and decision making Royal Dutch Shell plc September 6, 2017 #makethefuture Royal Dutch Shell September 6, 2017

  2. Slide 2: Cautionary note

    Cautionary note This presentation contains data from Shell’s New Lens Scenarios. The New Lens Scenarios are a part of an ongoing process used in Shell for 40 years to challenge executives’ perspectives on the future business environment. We base them on plausible assumptions and quantifications, and

  3. Slide 3: Guy Outen, EVP Strategy & Portfolio

    Guy Outen EVP Strategy & Portfolio Royal Dutch Shell Royal Dutch Shell September 6, 2017

  4. Slide 4: Exploring alternative futures

    Exploring ▪ Energy system was The Present The Path The Future alternative complicated futures ▪ Energy transition and digital: major disruptors FORECAST ▪ Past does not predict the future ▪ Forecasts are inappropriate ▪ Radically uncertain future ▪ Complex future: needs agility  Scenario thinking 

  5. Slide 5: Scenarios are neither forecasts nor business plans

    Scenarios are  Scenarios are not forecasts; neither are they our business plan neither  Shell considers multiple, bespoke scenarios relevant to decisions  Scenarios usage ranges from evaluation of individual opportunities, to portfolio choices, to overarching strategy forecasts nor development pl

  6. Slide 6: Shell's strategy

    Shell’s strategy #makethefuture Aspired Future  World-class investment case World-class investment Leader: value + case  Leader: value + influence influence  Reducing our carbon intensity  Shared value with society Reducing our Shared value carbon with society intensity Aspired Winning Portfolio

  7. Slide 7: Using scenarios

    Using scenarios Future worlds Value chain assessment* Recognising a range of 1 uncertain outcomes 2 Pace of new technology 3 Future World 4 5 Pace of demand growth Value Chains  Consider a range of plausible futures  Consider existing and new energy value chains  Explore social, political + econo

  8. Slide 8: Framework for decision making in uncertainty

    Framework for decision making Clarity of objectives in uncertainty Strategy and aspired future External environment and Decisions based on ‘hard’ and Analytic tools disruptors ‘soft’ inputs Consider multiple futures Apply lenses From individual decisions to in decision-focused scenarios to support t

  9. Slide 9: Wim Thomas, Chief Energy Adviser

    Wim Thomas Chief Energy Adviser Royal Dutch Shell Royal Dutch Shell September 6, 2017

  10. Slide 10: How scenarios inform modelling

    Introduction  Scenarios explore “how the Mountains/Oceans How scenarios inform world will work” in the future, and is an essential front-end modelling input in modelling  Different parts of the world will develop in their own Resources ways and at different paces Demand  Technology innovation ena

  11. Slide 11: Shell models

    Shell models Models underpin scenarios and strategic analysis Royal Dutch Shell September 6, 2017 11

  12. Slide 12: World Energy Model (WEM): Estimates global energy demand dynamically

    World Energy ▪ Estimates energy demand holistically Model (WEM): ▪ Underpinned by demand, choice and supply modules Estimates global ▪ Uses resource constraints, build rates and prices to balance supply and demand energy demand ▪ Covers other elements such as efficiency and learning curves, and outc

  13. Slide 13: WEM: Key drivers for demand

    WEM: Key drivers for demand Population Economic growth Environmental pressures 75 specific scenario-based inputs, considered by:  Sector  Carrier  Energy source  Geography Technology Resource availability People’s choices Royal Dutch Shell September 6, 2017 13

  14. Slide 14: WEM: Energy Ladders estimate energy use

    WEM: ▪ Different development curves The Energy Ladder 1960 – 2016* by country, by sector Energy Ladders The relationship between income and energy use Estimate energy ▪ Developing nations tend to Primary energy/ (GJ/capita/year) use less energy due to more service needs efficient technologies 400 av

  15. Slide 15: WEM: Choice module determining the energy mix

    1414 Sectors 10 Carriers WEM:  Acknowledges different user Sectors 10 Carriers 18 Energy Sources Choice module preferences for technologies Ship Electricity Oil (Centralised / Determining the Natural Gas Passenger transport Rail and solutions Distributed Coal energy mix  Choices change in response

  16. Slide 16: WEM: Example outputs

    WEM: World: Total Final Consumption by sector: Mountains World: Total Primary Energy: Oceans Example outputs EJ/year (energy carrier) EJ/year (energy source) A myriad of different “slices” through the output data set possible World: Total Primary Energy by source: Mountains China: Total Final Consum

  17. Slide 17: WEM: Example outputs comparing two scenarios for consumer choices

    WEM: World: Total Final Consumption – by carrier Example outputs EJ/year (energy carrier) Comparing two scenarios for consumer choices of what type of energy they want to use Decarbonisation and efficiency go hand-in-hand with  Mountains explores the widespread success of shale gas and strong gover

  18. Slide 18: WEM: Example outputs comparing two scenarios for primary energy

    WEM: World: Total Primary Energy Example outputs EJ/year (energy carrier) Comparing two scenarios for primary energy mix as a result of different policy, GDP, resources and innovation assumptions Of the New Lens Scenarios, Mountains’ drivers result in ‘earliest’ peak oil demand;  Mountains explores

  19. Slide 19: Global Energy Resources database

     Assessment as at 2015 Insights: Global Energy  Oil, gas and coal expected remaining  Sufficient renewable resources, but unequal Resources resources distribution database  Renewables annual production potential  Sufficient fossil resources for a decarbonised and Essential for  Used for Shell

  20. Slide 20: Global Supply Model (GSM) estimates oil and gas production

    Global Supply  Estimates production at resource category and country level until 2100 Model (GSM)  Each resource category develops through its own resource maturation chain  Cost of supply curves control how much resource is economic to mature at a given price Estimates oil and  Includes an envi

  21. Slide 21: GSM: Example outputs projecting oil and gas supply

    GSM: World: Total Oil Production (inc LPG/Condensate) World: Total Gas Production – by gas type Example outputs Bln boe per year TCF per year Projecting oil and gas supply by type, region and resource category North America: Total Oil Production (inc LPG/Condensate) Europe: Total Gas Production – by

  22. Slide 22: Example outputs: Modelling disruption potential of electric vehicles

    Example outputs: Key assumptions: Modelling  Battery costs continue to decline  Regulation strengthens (e.g. ban internal combustion engine (ICE) vehicles in cities) disruption  OEM vehicle manufacturers assumed to continue to develop ICE efficiencies potential of Electric vehicles (EV) Global ve

  23. Slide 23: Example outputs: Oil demand context

    Example outputs:  Passenger road transport makes up around a third  Oil demand has fallen in OECD since 2005 Oil demand of global oil use  Non-OECD oil demand growth 2.5 times the impact of OECD demand decline context An aggressive EV scenario Global LHCF consumption by Sector Global LHCF consump

  24. Slide 24: Guy Outen, EVP Strategy & Portfolio

    Guy Outen EVP Strategy & Portfolio Royal Dutch Shell Royal Dutch Shell September 6, 2017

  25. Slide 25: Summary

    Summary  ‘Complicated to complex’ context  Understand multiple futures to frame decision-making  Scenario thinking and holistic modelling is key  Use multiple lenses, including ‘minimise maximum regret’  Agile decision-making needed through energy transition Royal Dutch Shell September 6, 2017

  26. Slide 26: Materials available online

    Materials available online www.shell.com/ scenariosenergymodels Royal Dutch Shell September 6, 2017 26

  27. Slide 27: Questions and Answers

    Questions and Answers Guy Outen Wim Thomas EVP Strategy & Portfolio Chief Energy Adviser Royal Dutch Shell September 6, 2017

  28. Slide 28: Biographies

    Biographies Royal Dutch Shell September 6, 2017

  29. Slide 29: Guy Outen

    Guy Outen Executive Vice President Strategy & Portfolio Guy Outen was appointed Executive Vice President, Strategy & Portfolio for Royal Dutch Shell plc in 2014. Guy has worked in various commercial, new business and finance roles across all parts of Shell’s business. From 2009 to 2013 he was the EV

  30. Slide 30: Wim Thomas

    Wim Thomas Chief Energy Adviser Wim Thomas is Chief Energy Adviser and leads the Energy Analysis practice in Shell. His team is also responsible for Shell’s long-term global energy scenarios, informing Group Strategy. He has been with the Shell Group for some 33 years, with prior positions in drilli

  31. Slide 31: Additional information

    Additional information Royal Dutch Shell September 6, 2017

  32. Slide 32: Digitalisation: Board and future business environment

    Board and future Beliefs Uncertainties business environment Mega Trends Macroeconomics Example: Example:  Sustained era of transition & volatility  Political tensions & regional instability  Emerging markets drive Global GDP increases  Impact of digital technology Market Example: Example:  Hydr

  33. Slide 33: Shell scenarios

    Shell scenarios Identifying emerging challenges to guide us Globalisation, liberalisation, Social fragmentation & Era of volatile Changing sources of through change technology diffusion; environmental cohesion dilemmas; re- energy influence & decision Trends pressures; Asian growth emergence of Stat

  34. Slide 34: WEM: Countries modelled

    WEM: Countries modelled North America South America Europe/Russia Africa Middle East Asia/Pacific Darker-coloured countries are modelled individually. Lighter-coloured countries are modelled collectively as ‘Rest of’ regions, such as ‘Rest of West Africa’. Royal Dutch Shell September 6, 2017

  35. Slide 35: GSM: Countries modelled

    GSM: Countries modelled North America South America Europe/Russia Africa Middle East Asia/Pacific Rest of the world Royal Dutch Shell September 6, 2017

  36. Slide 36: Royal Dutch Shell September 6, 2017

    Royal Dutch Shell September 6, 2017

Royal Dutch Shell — Investor Presentation (September 2017) on 6ix