Module 1 – What is Digital?

  • Digital definitions, terminology and illustrations
  • Key drivers of digital innovation
  • A framework for structuring digital innovations in context
  • The leading digital technologies and their emerging oil and gas use cases
  • Case examples of specific combinatorial digital innovations and impacts

Module 2 – The Impacts of Digital on industry segments

  • Key orthodoxies of the industry that digital transforms
  • Reviews of the impacts of digital innovation on segments of the industry

Module 3 – Management Challenges

  • Organizing a team to tackle digital transformation
  • Digital risks to be managed
  • Talent management and skills required
  • Addressing the challenges of change management

Module 4 – Moving Forward 

  • The business case for digital innovation
  • Strategic planning methods for approaching digital innovations

Digital Definitions

  • International Energy Agency, Cisco, IBM
  • The growth of data
  • Power of analytics
  • Expanding telecommunications
  • Moore’s law
  • Metcalfe’s law
  • Market capitalization of digital companies
  • Framework for digital innovation


  • Importance of data to digital 
  • Data types
  • Oil and gas issues with data

Internet of Things

  • Use cases
  • Architectures
  • SCADA and IoT
  • Developments

Artificial Intelligence

  • Definitions – AI, ML, deep learning
  • Role of AI in the future
  • Use cases in oil and gas – maintenance, field operations, optimization


  • Robots in the field and office
  • 3D printing and impacts on oil and gas
  • Use cases – submersible, inspections, surveillance, data collection

Cloud Computing

  • Types of clouds – private, hybrid
  • Role of cloud computing
  • Impacts of cloud computing on oil and gas business models


  • Definitions, examples
  • ATOMIC – asset, trust, ownership, money, identity, contract
  • Role of blockchain in oil and gas
  • Use cases – VAKT, tracking, carbon

Business issues and digital solutions in the oil and gas value chain

  • The Oil and Gas Industry Process Model
  • Upstream – conventional, unconventional, on-shore, off-shore
  • Midstream – processing, pipelines, transportation
  • Downstream – refining, wholesaling, retail
  • Capital projects – planning, execution
  • Turnarounds and shutdowns 
  • Functions (HR, supply chain, finance)
  • Services – field services and support 

Management issues in digital

  • IT, OT and digital team design
  • Risks to be managed – cyber, security, data, policy, technology
  • The Risk Matrix for Digital
  • Management of change process and implementing digital change
  • Agile versus waterfall methods
  • Importance of user experience and design

Talent issues in digital

  • Availability of talent
  • Creating trust in digital
  • Leadership of human change
  • Talent attributes of the future

Digital strategy

  • Setting a north star heading for digital innovation
  • Confronting industry norms and practices that digital can impact
  • The Strategy Cascade by Roger Martin
  • Examples of digitally driven strategy – Rio Tinto
  • Determining the business case for digital