DRAFT AGENDA SUBJECT TO CHANGE
DAY ONE - Thursday, 11th June 2026
08:15 - 08:55
REGISTRATION, REFRESHMENTS AND NETWORKING
09:00 - 09:10
Chair’s Welcome and Scene Setting
THINK TANK CHALLENGES
We kick off the summit with our NEW ‘Think Tanks,’ delivered over three separate 25-minute sessions. The sessions consist of 10 tables of 8-10 attendees, including sponsors and industry leaders.
The 10 tables will be labelled with a specific industry challenge. Pre-event, all guests will choose 3 out of the 10 challenges that are most interesting and relevant to them. During each session, the group of like-minded attendees will work together to find a solution and potential business impact.
09:15 - 09:40
Think Tank Challenge 1
Working Think Tank Topics:
- Data Visualisation & Optimisation
- Human-Machine Teaming
- AI/Autonomous Systems
- Cybersecurity Risk & Threat Detection
- Data Management, Quality & Privacy
- Legacy Infrastructure and Integration
- AI & Advanced Analytics
- Robotics & Automation in Oil & Gas Assets
- Predictive Maintenance Implementation
- Digital Twins and Oil & Gas Modelling
- Digital Vulnerabilities in Oil & Gas Networks
- Digital Skills and Talent Gap
- Change Management and Leadership
- Energy-Efficient Technologies & Decarbonisation
- Critical Path from Pilot to Enterprise-Wide Asset
09:45 - 10:10
Think Tank Challenge 2
Topics repeated as above.
10:15 - 10:40
Think Tank Challenge 3
Topics repeated as above.
10:45 - 11:10
MORNING COFFEE AND NETWORKING
11:15 - 11:40
OPENING KEYNOTE
Optimising Digital Transformation in the EMEA Oil and Gas Industry
- Data-driven innovation in oil and gas is critical. Geopolitical shifts and policy changes are pressing hydrocarbon margins and capex decisions.
- AI, data optimisation, advanced analytics, predictive maintenance are all now an integral part of the successful playbook, from upstream to downstream.
- This keynote will explore legacy systems integration with latest tech innovation – based on latest updates from European expert user group – to improve operational excellence and agility in order to remain competitive
Michel Teughels, Operations Digital Innovation and Strategy Manager, ExxonMobil Europe
Meeting session 1
11:45 - 12:10
INNOVATOR PANEL DISCUSSION
Technology Implementation and Project Scaling – Where To Begin?
- Scaling pilot projects to enterprise-wide adoption and integration challenges with legacy systems
- How do operators effectively plan a roadmap to integrate technologies like AI, IoT, and digital twins into their core operations?
- Approaches to digital transformation and instilling a data-driven culture in your operation
Antonia Pérez, Data & AI Director, MOEVE (CEPSA E&P)
Meeting session 2
12:15 - 12:45
KEYNOTE
Cross-Industry Learnings: AI Lessons for Upstream Oil & Gas
- Explore how AI advancements in the pharmaceuticals and manufacturing sectors can be applied to solve challenges in upstream oil and gas.
- Identify new methods for improving operational efficiency, risk management, and decision-making in oil and gas by leveraging successful AI implementations
- Discuss how adopting a cross-industry perspective on AI can accelerate digital transformation and create new value for leaders in the oil and gas sector.
Meeting session 3
12:50
NETWORKING LUNCH
13:55 - 14:30
CASE STUDY
Harnessing Industrial AI and data management to reduce shutdowns and emissions
- AI applications in next-gen oil & gas infrastructure
- Strategies to strengthen connectivity
- How is machine learning optimising emissions reduction in E&P, transportation and refining / gas processing?
- What data strategy implementation and learnings have been achieved by European and International operators?
Juan Varga, CIO, MOEVE (CEPSA E&P)
Meeting session 4
14:35 - 15:00
DATA PANEL
The critical role of data optimisation and visualisation in oil & gas E&P
- How is real-time data visualisation improving success rates and margins in E&P operations?
- What are the most effective processes in applying data analytics to provide accurate visibility with upstream data visualisation?
- What are the risks to upstream mapping and projects posed by vulnerabilities in IoT / cloud cybersecurity?
David Havas, AI & Automation Lead, MOL Group
Saud Al Zakwani, VP, IDS & CI, OQ Exploration & Production
Meeting session 5
15:05 - 15:30
CASE STUDY
Optimising Data-Driven AI for Predictive Maintenance
- How do operators derisk their operations through AI application?
- What are the most successful roadmaps in applying predictive maintenance technologies to reduce downtime?
- Insights into current predictive maintenance projects, installation of PM systems, and the efficiencies being created
Meeting session 5
15:35 – 16:00
AFTERNOON NETWORKING AND REFRESHMENTS
16:05 - 16:30
CASE STUDY
Connectivity is Critical: Building Real-Time Data Collection, Automation and Scalable Network Expansion
- Evolution of 5G private networks: defending against data loss, protecting data storage and enhancing transmission capabilities
- Network connectivity and real-time equipment monitoring: pressure imbalances, environmental conditions and leak detection
- Real-time data transmission to field operators: facilitating collaboration across offshore / onshore operational regions, optimising IoT deployment and enhancing mobile worker safety
Meeting session 6
16:35 - 17:00
CONVERGANCE PLENARY
Transformative Data & AI Platforms: navigating the innovation journey from legacy systems to a modern operating ecosystem
- What are the best approaches to integrating AI architecture across enterprise and oil & gas infrastructure functions?
- How do leading operators plan and connect edge, cloud, and AI platforms whilst mitigating operational disruption and system efficiency?
- Which collaborative approaches can optimise value between end-users and data solution partners when implementing Industry 4.0 systems?
- How do EMEA’s operators manage data to optimise and automate processes to reduce cost and waste?
Meeting session 7
17:05 - 17:30
CASE STUDY
Building technology landscapes to support evolving business strategies and operationalize innovation
- Capture AI-related information on business capabilities and applications including AI usage, AI risk, and AI potential, giving you a complete understanding of where the technology is implemented across your IT landscape
- Scope rationalization efforts according to business criticality and functional or organizational User Group
- Leverage automated SaaS Discovery to find all your SaaS applications and add them to your inventory
- Remove 30% of redundant applications and IT components within 6 months.
Meeting session 7
17:30 - 17:40
CHAIR'S CLOSING REMARKS
17:40
END OF DAY ONE - DRINKS RECEPTION!
DAY TWO – Friday, 12th June 2026
08:00 - 08:55
REGISTRATION, REFRESHMENTS AND NETWORKING
09:00 - 09:10
WELCOME AND INTRODUCTION TO THE DAY
09:15 - 10:00
ROUNDTABLE DISCUSSIONS
Small group discussions tackling your most pressing challenges.
Working Rountable Titles
- Data Visualisation & Optimisation
- Human-Machine Teaming
- AI/Autonomous Systems
- Cybersecurity Risk & Threat Detection
- Data Management, Quality & Privacy
- Legacy Infrastructure and Integration
- AI & Advanced Analytics
- Robotics & Automation in Oil & Gas Assets
- Predictive Maintenance Implementation
- Digital Twins and Oil & Gas Modelling
- Digital Vulnerabilities in Oil & Gas Networks
- Digital Skills and Talent Gap
- Change Management and Leadership
- Energy-Efficient Technologies & Decarbonisation
- Critical Path from Pilot to Enterprise-Wide Asset
10:05 - 10:30
FUTURE-FACING DIGITAL KEYNOTE
What will be the impact of next-wave data optimisation, automation and AI on the oil & gas industry by 2030?
- The critical role of enhanced cybersecurity: adapting strategy and technology to protect OT environments from sophisticated threats.
- Bridging the IT-OT gap: predictions for compatibility and convergence
- Transforming the hydrocarbon landscape: the evolution of Gen AI and LLMs, drone technology and digital twins
Meeting session 10
10:35 – 11:00
MORNING COFFEE AND NETWORKING
11:05 – 11:30
CASE STUDY
Applying Agentic AI for Maintenance, Repair, and Operations (MRO) in Oil & Gas
- Applying effective MRO lifecycle data in optimising hardware and technology performance across the oil & gas sector.
- How are data quality issues undermining EPC, asset management, and maintenance workflows in upstream, midstream and downstream operations.
- Uncovering agentic AI-driven tools which resolve reliability data gaps, engineered for Oil & Gas, which improve margin gains
Meeting session 11
11:05 – 11:30
CASE STUDY
The digitalisation path to emissions reduction in oil & gas assets and supply chains
- Using digital technologies for operational efficiency, methane leak detection & containment
- Leveraging management & optimization of low-carbon power systems, scenario-based asset development & operations, emissions tracking & reporting
- Experiences of digitalization capabilities to accelerate emissions reduction facilitated by alignment with broader efficiency & cost management goals
Jackson Okpetu, Head of Projects Commissioning, TotalEnergies EP
Meeting session 11
12:05 - 12:45
VALUE CHAIN PANEL DISCUSSION
Where We Are On The Transformation Journey: Data Management, Optimised Analytics and Digital Transformation in Oil & Gas
- Mitigating the risks of inconsistent data, incompatible systems, and manual processes that derail transformation in the oil and gas industry.
- The importance of data management in improving data integrity and compliance, and how it can streamline operations
- Avoiding journey stumbles caused by data fragmentation, preventable operational delays and asset shutdowns
- Using digital transformation to create agility across your operating architecture, incorporating a unified data hub and cloud operating model.
- Unlocking value from data management to increase improvements in predictive maintenance of your operating assets.
Jose Maria Gonzalez Munoz, Upstream GG Operations Manager, Repsol
Meeting session 11
12:50 - 12:55
CHAIR CLOSING REMARKS
13:00
FAREWELL LUNCH
Only representatives from Oil & Gas companies are permitted to attend as delegates.
Interested in Sponsoring? email kate@intrinsic-communications.com or learn more here.