Highlights Of The Program
2 days business program:
Learn from real-world case studies by industry leaders.
SHOWCASING INNOVATION:
Discover the latest technology and techniques from across the industry.
leaders talk:
Hear from top-level experts about how to stay ahead in a fast-changing industry.
MULTIPLE STREAMS:
A business program that is multi-disciplinary, giving you a broad view of the industry.
SMART TECHNOLOGIES:
Explore the latest smart and AI-driven solutions, and see how they can be used in your business.
roundtable discussion:
Join talks with industry peers. Share ideas, make connections, and find new partners.
Program 2026
DAY 1 :
WEDNESDAY, 3 JUNE, 2026
08:30 - 09:30
REGISTRATION AND MORNING REFRESHMENTS
09:30 - 09:40
OPENING ADDRESS
09:40 - 10:05
LEVERAGING AI TO DECARBONISE THE ENERGY SECTOR AND BUILD RESILIENCE FOR EXTREME HEAT
Amr Seleem
United Nations
- Utilising AI-driven predictive modelling to optimise industrial cooling loads, protect workers, and reduce thermal inefficiencies across sites
- Mapping how AI-enabled thermal control aligns with decarbonisation targets by lowering methane and CO₂ intensity in operations and processing
- Interrogating machine learning's role in large-scale heat rejection and Cooling-as-a-Service to turn thermal waste into a decarbonisation asset
10:05 - 10:10
Q&A SESSION ON HOW AI SUPPORTS DECARBONISATION THROUGH THERMAL EFFICIENCY
10:10 - 10:40
SPEED NETWORKING SESSION
- Exchange business cards and get connected in short one-to-one meetings
- Start the conversation to arrange a more formal meeting later on in the conference
- Share your professional background and discuss your biggest business issues – don't forget your business cards!
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
SPONSORED BY NOV
11:00 - 11:30
PANEL DISCUSSION ON LEVERAGING AI TO IMPROVE OPERATIONAL EFFICIENCY, RELIABILITY, AND COST PERFORMANCE IN OIL AND GAS
- Unlocking high-value AI opportunities in efficiency and reliability, overcoming pilot-stage barriers, and building trust for adoption in critical operations
- Reducing field exposure through AI-driven hazard prediction, task automation, and intelligent systems for safer, leaner site operations
Maarten Smulders | Control Risks | Moderator
Juan Moreno | Arthur D. Little
Yuanlin Jiang | JJC TEC
11:30 - 11:55
DECODING THE FUTURE: HARNESSING DIGITAL TECHNOLOGIES IN UPSTREAM
Wael Ziadat
Corva
- Defining the core building blocks of digital intelligence and their role in transforming upstream operations
- Investigating frameworks and innovation matrices that enable structured adoption of digital technologies across the value chain
- Identifying key levers and critical success factors required to drive scalable and sustainable digital transformation
11:55 - 12:00
Q&A SESSION ON HOW TO MOVE FROM DIGITAL STRATEGY TO EXECUTION IN UPSTREAM OPERATIONS
12:00 - 13:30
NETWORKING LUNCH AND VISITING THE OIL & GAS AI EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON THE ROLE OF AI AND GEN AI IN THE FUTURE OF OIL AND GAS OPERATIONS
- Rewiring asset economics through AI-driven network optimisation, capital discipline, and operationally-grounded design that moves beyond incremental gains
- Recognising GenAI's role in O&G: from high-impact applications and faster drilling decisions to knowledge transfer before the workforce retires
- Redefining AI leadership in O&G: multi-agent systems, regional capability building, and human oversight in safety-critical operations
Maarten Smulders | Control Risks | Moderator
Hasan Shafi | Hatch
Seydou Sinde | International University of Grand Bassam
Khalid Al-Begain | KCST
14:00 - 14:25
INTEGRATING DIGITAL TWINS, AI-DRIVEN ROBOTICS, AND COMPUTER VISION TO TRANSFORM AND OPTIMIZE DRILLING AUTOMATION
Seydou Sinde
International University of Grand Bassam
- Transforming drilling from reactive and human-led processes into real-time, intelligent, data-driven decision-making environments
- Combining physics models, sensor data, and AI to automate complex workflows and reduce manual involvement in repetitive drilling tasks
- Improving drilling accuracy, enhancing ROP, and reducing risks through predictive analytics, robotics, and computer vision technologies
- Optimising performance, lowering non-productive time (NPT), and improving drilling economics through integrated AI-driven systems
14:25 - 14:30
Q&A SESSION ON ADVANCED AI TOOLS FOR SAFER AND FASTER DRILLING OPERATIONS
14:30 - 14:55
MAX PLATFORM SERVICES (MPS)
Wael Akkad
NOV
- Providing an open platform that hosts multiple applications for drilling, completions, and production workflows
- Running applications in Docker containers for seamless data analysis and comparison
- Facilitating real-time data aggregation and edge computing with an integrated Edge device
- Offering a customisable interface for building tailored dashboards and analytics
14:55 - 15:00
Q&A SESSION ON OPEN PLATFORM SOLUTIONS FOR DATA AND OPERATIONS INTEGRATION
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 15:55
HOW AI AND OTHER EMERGING TECHNOLOGIES SUPPORT RISK AND RESILIENCE
Maarten Smulders
Control Risks
- Role of AI in re-shaping the geopolitical landscape – exploring how the race for AI and sovereign compute capacity is influencing geopolitics
- How AI is used in modern conflicts
- How AI can help organizations enhance their risk and resilience posture through real-time risk intelligence, predictive models, digital twin, and integrated crisis readiness
15:55 - 16:00
Q&A SESSION ON STRENGTHENING FIELD OPERATIONS WITH AI AND REAL-TIME MONITORING
16:00 - 16:25
AI FOR COMPLEX CARBONATE PLAYS: HOW SOM AND DEEP LEARNING TURN SEISMIC ATTRIBUTES INTO PROSPECTIVITY
Ricardo Gómez
Hydrocarbon Ministry of Venezuela
- Profiling an offshore carbonate gas case study using seismic, SOM, and deep learning to assess drilled and undrilled prospects
- Describing a QC-driven workflow from attribute selection and normalisation to SOM clustering, validated by quantisation and topographic error
- Integrating deep learning with SOM outputs and geological analogues to generate interpretable 3D prospectivity maps for prospect ranking
- Translating technical results into business value by reducing trap risks, clarifying reservoir uncertainty, and improving drilling decisions
16:25 - 16:30
Q&A SESSION ON THE BENEFITS OF USING AI TO DE-RISK CARBONATE EXPLORATION DECISIONS
16:30 - 16:55
AI-POWERED DRILLING RIGS AS A CASE STUDY IN SAFETY AND OPERATIONAL EFFICIENCY
Yuanlin Jiang
JJC TEC
- Assessing how AI, ML, and real-time analytics enhance drilling safety, efficiency, and performance across onshore and offshore operations
- Addressing offshore challenges, including high costs, harsh conditions, energy intensity, and limits of conventional automation systems
- Showcasing safety-first innovations like personnel-free drill floors and automated pipe handling systems that reduce risks and exposure
- Demonstrating how AI-controlled robotics and real-time optimisation systems improve drilling performance, reduce costs, and enable smarter decisions
16:55 - 17:00
Q&A SESSION ON AI-DRIVEN AUTOMATION FOR SAFER AND SMARTER DRILLING OPERATIONS
17:00 - 18:00
NETWORKING DRINKS RECEPTION
DAY 2 :
THURSDAY, 4 JUNE, 2026
09:00 - 09:30
MORNING REFRESHMENTS
09:30 - 09:40
OPENING ADDRESS
09:40 - 10:05
AI-DRIVEN INFRASTRUCTURE INTELLIGENCE FOR RESILIENT ENERGY SYSTEMS
Hazem Gouda
University of Wollongong in Dubai
- Coordinating how AI and digital twins optimise water, cooling, and utility systems supporting energy operations
- Implementing predictive analytics and lifecycle asset modelling to improve reliability, reduce downtime, and strengthen resilience across facilities
- Embedding sustainability and carbon monitoring within AI-enabled asset management to support decarbonisation and long-term performance
10:05 - 10:10
Q&A SESSION ON THE BENEFITS OF USING AI AND DIGITAL TWINS TO IMPROVE ENERGY INFRASTRUCTURE RESILIENCE
10:10 - 10:35
BUILDING THE BUSINESS CASE FOR AI-DRIVEN SUSTAINABILITY IN OIL AND GAS
Nisreen Shadad
NetGreen
- Quantifying how AI-powered sustainability tools improve ROI, reduce risks, and enhance regulatory compliance in oil and gas operations
- Highlighting how AI-driven monitoring improves emissions tracking, carbon accountability, and ESG-driven decision-making
- Framing strategic priorities for energy leaders investing in digital platforms that align with sustainability and performance targets
10:35 - 10:40
Q&A SESSION ON EFFECTIVE CARBON MONITORING AND SUSTAINABILITY ROI USING AI
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:25
OPTIMISING OILFIELD LOGISTICS THROUGH AI-POWERED PAYLOAD MANAGEMENT
Rahul Reghunath
Peace Land Trading & Contracting Co. LLC
- Monitoring real-time truck and trailer utilisation using AI-powered cameras at loading bases to identify available payload capacity
- Consolidating equipment loads to maximise payload per trip and reduce total truck movements and inefficient partial loads
- Lowering transportation costs by reducing trip frequency, fuel usage, and logistics-related operational overhead
- Strengthening sustainability and road safety by cutting carbon emissions and minimising exposure through fewer transport trips
11:25 - 11:30
Q&A SESSION ON COST-EFFECTIVE STRATEGIES TO OPTIMISE OILFIELD LOGISTICS PERFORMANCE
11:30 - 11:55
UNLOCKING AI POTENTIAL IN PIPELINE OPERATIONS THROUGH HIGH-FIDELITY REAL-TIME DIGITAL TWIN TECHNOLOGY
Asaaf Rahman
Simulation Software Limited
- Driving high-quality synthetic data generation to strengthen AI models where real operational data is limited or unavailable
- Simulating complex and high-risk operational scenarios to improve system understanding and support more robust decision-making
Fakher Raza
Simulation Software Limited
- Deploying high-fidelity digital twin models to accurately represent pipeline behaviour and enhance predictive capabilities
- Supporting early detection of leaks, anomalies, and equipment issues through AI-driven analysis of transient system behaviour
11:55 - 12:00
Q&A SESSION ON HOW TO IMPROVE EARLY DETECTION OF ANOMALIES THROUGH ADVANCED MODELLING
12:00 - 12:25
AUGMENTING THE OPERATOR: AI ASSISTANTS TRANSFORMING CONTROL ROOM PERFORMANCE
Bjarne André Asheim
Kairos Technology
- Analysing the control room challenge of alarm overload, knowledge gaps, and the cost of slow decisions
- Illustrating how a Control Room Assistant surfaces anomalies, correlates process data, and guides real-time action
- Uncovering the AI architecture enabling contextual awareness and natural-language interaction with live plant data
- Measuring the impact, including reduced response times, near-miss prevention, and lower cognitive load
12:25 - 12:30
Q&A SESSION ON HOW AI ASSISTANTS ARE CLOSING THE PERFORMANCE GAP IN CONTROL ROOMS
12:30 - 12:45
FEEDBACK AND RAFFLE DRAW
12:45 - 14:00
NETWORKING LUNCH
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