Agenda

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 begin the summit with our Think Tank Challenges—three fast-paced, 25-minute working sessions built for active collaboration.
Each table brings together 8–10 peers and sponsors to tackle a specific industry challenge head-on.

Delegates are matched to the three challenges most relevant to them. In every session, they get straight into problem-solving: comparing approaches, pressure-testing ideas, and shaping practical outcomes with real 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 to improve operational excellence and agility in order to remain competitive

Meeting session 1

11:45 - 12:25

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)

Moeve-Logo-New

Meeting session 2

12:30 - 12:55

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

13:00 - 14:00

NETWORKING LUNCH

14:05 - 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)

Moeve-Logo-New

Meeting session 4

14:35 - 15:00

DATA PANEL

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

David Havas, AI & Automation Lead, MOL Group

MOL_testimonial.png

Meeting session 5

15:35 – 16:00

AFTERNOON NETWORKING AND REFRESHMENTS

16:05 - 16:30

CASE STUDY

Harnessing supercomputer data application to optimise existing assets and plan for future oil & gas delivery
  • Ranked sixth globally in the Top500 list and first in the world among supercomputers for industrial use, Eni’s HPC6 system is pioneering operator decarbonisation and designed with state-of-the-art energy efficiency standards.
  • How can energy data leaders harness billions of data points through advanced analytics to evolve their operational performance?
  • How are innovative systems cutting capex and opex on new oil & gas projects?
  • Understanding innovation in digital geosciences to analyse surface data, provide visualisations of subsurface geometry and help to identify potential reservoirs with reduced uncertainty

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

17:00 - 17:05

CHAIR'S CLOSING REMARKS

17:05 - 18:00

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

11:35 - 12:20

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

12:25 - 12:30

CHAIR CLOSING REMARKS

12:30 - 13:30

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.

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