2021 Agenda

08.45

• How to enable enterprise adoption of analytics and processes – The steps to becoming a data driven operator
• Developing a Digital Maturity Assessment – Constructing innovation teams around
  existing staff and resources
• Augmenting the Digital Framework whilst dealing with Changing Dynamics – A focus on
  Commodity prices, ESG Conformance and Emerging Energy Sources
• Improving Business efficiency using data management & integration – How to effectively
  deliver value at speed
• The Talent Attraction Conundrum in a cost cutting age – Making Oil and Gas a
  sustainable career choice
• The current industry standards and compliance requirements – An insight into data
  governance

• The role of digitalisation in the near and long-term future of oil and gas production
• How to encourage shared responsibility through the supply chain – Developing strategic
  partnerships to ensure a sustainable future
• Embracing the new age of Accelerated Innovation – Overcoming the barriers of Data
  ownership
• How to successfully Develop and implement a Digital Value Chain – Does data
  interoperability hold the key to successful partnerships
• How often should the digital strategy be updated – An analysis on process, operations and customers
• Reinventing your business model and developing the appropriate digital strategy

• Enabling Data aggregation and classification – An insight into operational models to
  improve business efficiency using data management and integration
• How is big data helping to decentralise the industry – Developing a successful crossdiscipline workflow
• Investing into Cloud Platforms and working Incrementally – Measuring Accessibility and
  Data ownership
• Integrating and managing legacy systems – How to democratise advanced analytics
• The future of Data Storage – How data management platforms will evolve coupled with
  the emergence of customer data platforms and incorporating a data strategy
• How to achieve Data Maturity – Analysing the remediation of data with current
  processes whilst effectively managing the long-term vision and digital architecture

• Creating a culture that truly embraces digitalisation – Accelerating data, encouraging an
  agile workflow system and embracing innovative methods of executing key activities
• Leveraging data to empower others – Adopting self-service analytic tools to increase
  efficiency and whilst effectively managing data strategy, connectivity, governance and
  adoption
• Ensuring effective data interoperability – Developing effective and compliant data
  models that meet current requirements and standards
• Reskilling and reshaping the Current Workforce – An insight into employee recognition
  and methodology whilst developing a digital transformation charter
• Harnessing Innovation and Changing Roles – Mastering the skill of Championing Change
• How to manage the cultural shifts needed for new technology adoption with Intentional
  learning - Striking the right balance between investment in technology and people

• How does a Digital Twin offset carbon emissions - Data capture, storage and
  infrastructure development
• Innovation at Pace – Achieving appropriate data and organisational scalability
• The Evolution Model – How creative and efficient business strategies will be built around
  planning data and plant data
• How to improve Asset Sustainability – Reducing the Value Chain’s Carbon footprint
• Predictive, Preventative and Prescriptive Maintenance – Improving machine connectivity
  and engineering simulation

• Moving with digitalisation while minimising risks that comes with evolution of
  technology - What can we learn as technology becomes more sophisticated and better
  protect legacy systems
• How to manage risks across your supply chain – Developing an effective cyber inventory programme around critical infrastructure
• The significance of ethical hacking as a preventative counter measure
• Decreasing the vulnerability of a company’s operational and technology department
• Evolution of the threat landscape – How a shared responsibility model and cross collaboration is key
• Practical cases on how to prioritise on cyber investments - A focus on infiltrating cloud
  native systems

• How can digitalisation and innovation improve energy efficiency through CCUS
• Cross country Investment and scale – Adopting a scalable business model to accelerate international adoption and profitability
• Investment into Carbon Capture – Does the scalability of the solution outweigh the cost
• Does the concept of CCUS Facilitate the continuation of oil and gas – Spotlight on the sustainability of the current business model
• The Future of Carbon Capture and Carbon Tax – The impact of Policy and the significance of Collaboration

• The Future of Data Storage – Defining innovative carbon friendly data centre models, initiatives and data processes
• The Evolving role of a data scientist – How energy transition is changing the digital dynamics of an operator
• Avoiding waste and reducing emissions – How Digital tools enable efficient use of energy
• Moving away from large data siloes – Developing a shared and trusted landscape amongst organisations and associations
• Rapid scaling of analytics applications to lower operating expenses and increase operational run time

• Developing high capacity, long duration Hydrogen Storage in the age of energy
  transition – The perils and pitfalls
• The Emergence of the Floating Wind Turbine – How to minimise cost in offshore platforms compared to onshore development
• The Integration of Circular Economic Models – which renewable form will come out on top?
• Measuring the efficiency and environmental impact of hydrogen production – Blue, Green, Turquoise or Purple
• The case for platform electrification to reduce emissions – Understanding the key steps in building the appropriate infrastructure

• Supervised and Unsupervised Machine Learning – Breaking down the applications for exploration and production
• Augmenting Business Efficiencies and aligning people and processes – The impact of Machine Learning on the oil field
• Asset Performance Management – Extending the lifecycle
• Machine Learning v Deep Learning – An analysis of capabilities and Processes
• What have we learnt about implementing Machine Learning within the upstream sector?

• How does AI accelerate design processes, reliability and decision-making operations?
• Will AI redefine the future of oil and gas – Identifying processes that can be accelerated by applying this technology
• Successfully scaling up AI – Integrating IoT, Edge Computing and Predictive Maintenance
• How to approach constraints with AI implementation – Understanding the value and restrictions
• The future of Digital Twin with AI – What opportunities will this present going forward?

• The significance of convergence – Integrating IoT, Machine learning and robotics
• How does Blockchain provide greater assurance on supply chain management
• Blockchain and AI – How this technology facilitates Data Collection and Automation
• Data and Blockchain – A focus on data privacy and cyber security
• Best Practices in Adopting Blockchain – Challenges and lessons learned in the upstream sector
• Increasing authenticity and product ownership