COURSE CONTENT
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
 
Data
- 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
 
Automation
- 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
 
Blockchain
- 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
 
