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

Day 1 :

WEDNESDAY, 3 JUNE, 2026

08:00 - 08:50

REGISTRATION AND MORNING REFRESHMENTS

08:50 - 09:00

OPENING ADDRESS

09:00 - 09:25

LEVERAGING AI TO DECARBONISE THE ENERGY SECTOR AND BUILD RESILIENCE FOR EXTREME HEAT

Amr Seleem

United Nations

Utilising AI-driven predictive modeling 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

09:25 - 09:30

Q&A SESSION ON HOW AI SUPPORTS DECARBONISATION THROUGH THERMAL EFFICIENCY

09:30 - 09:55

FROM DATA TO DECISIONS: LEVERAGING AI FOR REAL-TIME PRODUCTION OPTIMIZATION

Mohammad Taha

CCED

Transforming wellsite and production data into real-time intelligence via scalable analytics pipelines for faster decisions
Presenting a case study where predictive models anticipate failures and optimise schedules, delivering measurable ROI and efficiency gains
Applying AI-powered digital twins to simulate complex operational scenarios, reduce uncertainty, and support higher-confidence decision-making
Enabling long-term asset performance through predictive analytics, real-time monitoring, and simulation-driven optimisation

09:55 - 10:00

Q&A SESSION ON DEPLOYING PREDICTIVE AI FOR PRODUCTION AND RELIABILITY GAINS

10:00 - 10:25

FROM AI PILOTS TO AI FACTORIES HOW ENTERPRISES SCALE INTELLIGENCE

Awad ElSidiq

ADNOC

Explaining why many organizations struggle to move beyond isolated AI pilots and how to transition toward scalable AI deployment
Outlining practical strategies to align AI initiatives with business priorities, governance structures, and measurable value creation
Mapping how to build an AI operating model that turns experimentation into repeatable, production-grade solutions delivering impact

10:25 - 10:30

Q&A SESSION ON INDUSTRIALIZING AI FOR SUSTAINABLE BUSINESS INFRASTRUCTURE

10:30 - 11:00

MORNING COFFEE BREAK IN THE EXHIBIT AREA

11:00 - 11:30

PANEL DISCUSSION ON LEVERAGING AI TO IMPROVE OPERATIONAL EFFICIENCY, RELIABILITY, AND COST PERFORMANCE IN OIL & GAS

Delivering measurable AI impact on asset reliability and maintenance, prioritising high-value use cases, and advancing from decision support to closed-loop optimisation
Examining where AI delivers real returns in oil & gas, the role of data infrastructure, agentic AI limits, and the build-buy-partner strategy for operators
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

| Elevate Momentum Partners

| Nirman Ventures

| Arthur D Little

| 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 - 12:25

FROM MONTHS TO MOMENTS: AI-POWERED REAL-TIME WELL OPTIMISATION

Mojtaba Moradi

TAQA

Unveiling how intelligent well completion systems enable continuous real-time data acquisition to improve visibility of well performance
Detailing how real-time operational control allows operators to adjust well parameters instantly based on live production data
Showing how AI-driven analytics continuously mine and interpret well data to identify optimization opportunities without manual intervention
Spotlighting how real-time alerts and automated insights reduce detection-to-action time, preventing losses and costly interventions

12:25 - 12:30

Q&A SESSION ON REAL-TIME DATA ANALYTICS FOR PROACTIVE WELL MANAGEMENT

12:30 - 13:30

NETWORKING LUNCH AND VISITING THE OIL & GAS AI EXHIBITION

13:30 - 14:00

PANEL DISCUSSION ON THE ROLE OF AI & GEN AI IN THE FUTURE OF OIL & GAS OPERATIONS

Rewiring asset economics through AI-driven network optimization, capital discipline, and operationally-grounded design that moves beyond incremental gains
Recognizing 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

| Hatch

| International University of Grand Bassam

| KCST

14:00 - 14:25

MAX PLATFORM SERVICES (MPS)

Wael Akkad

NOV

Open platform that hosts multiple applications for drilling, completions, and production workflows
Running applications in docker containers for seamless data analysis and comparison
Enabling real-time data aggregation and edge computing with an integrated Edge device
Offering a customizable interface for building tailored dashboards and analytics

14:25 - 14:30

Q&A SESSION ON OPEN PLATFORM SOLUTIONS FOR DATA AND OPERATIONS INTEGRATION

14:30 - 14:55

GIVING ENGINEERS THEIR TIME BACK: AI-FIRST TOOLS THAT BRIDGE LEGACY DOCUMENTS AND DIGITAL TWINS

Vlad Romashov

CIT

Highlighting how engineers lose time searching scanned P&IDs, datasheets, and legacy files instead of focusing on high-value engineering work
Articulating an AI-first approach using data extraction, anomaly detection, and conversational queries to make legacy assets digital-twin-ready
Achieving rapid ROI with 30% engineering cost reduction and report cycles shortened from weeks to hours through AI-driven automation
Positioning AI foundations that scale from fast productivity gains to broader digital twin and predictive analytics initiatives

14:55 - 15:00

Q&A SESSION ON AI TOOLS THAT CUT DOCUMENT SEARCH AND BOOST PERFORMANCE

15:00 - 15:20

AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA

15:20 - 15:45

AI FOR DIGITAL WAREHOUSING AND LOW-CARBON SPARE PARTS

Hector Casas

Arthur D. Little

Leveraging AI forecasting and optimisation for reducing inventory levels and preventing spare part obsolescence
Facilitating on-demand production by using 3D printing and digital warehousing to minimise waste and transport costs
Supporting operational efficiency and net-zero targets by embedding AI across supply and logistics systems

15:45 - 15:50

Q&A SESSION ON DECARBONISATION THROUGH DIGITAL INVENTORY SOLUTIONS

15:50 - 16:15

DIGITAL TWINS AS SECURITY SANDBOXES TO SUPPORT PATCHING AND SECURITY RESPONSE IN OIL AND GAS

Matthew Incera

Eversource Energy

Scoping and building a digital twin environment that realistically mirrors OT systems for secure testing and validation
Detecting and sending the appropriate telemetry from OT networks to digital twins to support real-time monitoring and simulations
Designing chatbot frameworks supported by digital twins to improve incident response and threat investigation workflows

16:15 - 16:20

Q&A SESSION ON USING TELEMETRY AND AI TO ENHANCE OIL AND GAS CYBER RESPONSE SCENARIOS

16:20 - 16:45

AI-ENABLED RESILIENCE IN THE OIL AND GAS SECTOR

Maarten Smulders

Control Risks

Exploring how AI adoption supports asset reliability, operational continuity, and production optimisation across the oil and gas sector
Identifying new cyber, operational, and organisational risks introduced by digital systems and real-time decision automation
Revealing the role of digital twins, analytics, and predictive security models in strengthening crisis response and foresight
Emphasising the need for governance, transparency, and human oversight to ensure safe and sustainable AI implementation

16:45 - 16:50

Q&A SESSION ON STRENGTHENING FIELD OPERATIONS WITH AI AND REAL-TIME MONITORING

16:50 - 17:15

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 operating conditions, energy intensity, and limitations of conventional automation systems
Showcasing safety-first innovations like non-people drill floors and automated pipe handling systems that reduce risk and exposure
Demonstrating how AI-controlled robotics and 3D real-time optimisation systems improve drilling performance, lower costs, and enable smarter operational decisions

17:15 - 17:20

Q&A SESSION ON AI-DRIVEN AUTOMATION FOR SAFER AND SMARTER DRILLING OPERATIONS

17:20 - 18:20

NETWORKING DRINKS RECEPTION

Day 2 :

THURSDAY, 4 JUNE, 2026

08:00 - 08:30

MORNING REFRESHMENTS

08:30 - 08:40

OPENING ADDRESS

08:40 - 09:05

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 geologic analogs to generate interpretable 3D prospectivity maps for prospect ranking
Translating technical results into business value by reducing trap risk, clarifying reservoir uncertainty, and improving drilling decisions

09:05 - 09:10

Q&A SESSION ON BENIFITS OF USING AI TO DE-RISK CARBONATE EXPLORATION DECISIONS

09:10 - 09:35

AI-DRIVEN INFRASTRUCTURE INTELLIGENCE FOR RESILIENT ENERGY SYSTEMS

Hazem Gouda

University of Wollongong in Dubai

Orchestrating how AI and digital twins optimise water, cooling, and utility systems supporting energy operations
Applying predictive analytics and lifecycle asset modelling to improve reliability, reduce downtime, and strengthen resilience across facilities
Integrating sustainability and carbon monitoring within AI-enabled asset management to support decarbonization and long-term performance

09:35 - 09:40

Q&A SESSION ON BENIFITS OF USING AI AND DIGITAL TWINS TO IMPROVE ENERGY INFRASTRUCTURE RESILIENCE

09:40 - 10:05

BUILDING THE BUSINESS CASE FOR AI-DRIVEN SUSTAINABILITY IN OIL & GAS

Nisreen Shadad

NetGreen

Quantifying how AI-powered sustainability tools improve ROI, reduce risk, and enhance regulatory compliance in oil and gas operations
Conveying 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

10:05 - 10:10

Q&A SESSION ON EFFECTIVE CARBON MONITORING AND SUSTAINABILITY ROI USING AI

10:10 - 10:30

MORNING COFFEE BREAK IN THE EXHIBIT AREA

10:30 - 10:55

AI-DRIVEN SHORT-TERM FORECASTING FOR BIOMETHANE PRODUCTION AND NETWORK OPERATIONS

Giacomo Matarazzo

Teréga

Portraying the rapid growth of biomethane within gas networks and the operational challenges created by volatile production and quality variability
Interpreting why deterministic models fall short and how AI can better capture the complex interactions of feedstock, environment, and operations
Synthesising how sensor, environmental, and injection data are combined to build continuously improving AI models and digital twins
Accentuating how predictive forecasting helps prevent off-spec gas, reduce production losses, and lower overall network operating costs

10:55 - 11:00

Q&A SESSION ON BENIFITS OF USING AI AND DIGITAL TWINS TO OPTIMISE BIOMETHANE NETWORK PERFORMANCE

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
Reducing transportation costs by lowering 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

Enabling 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

Leveraging 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

Examining the control room challenge of alarm overload, knowledge gaps and the cost of slow decisions
Detailing how a Control Room Assistant surfaces anomalies, correlates process data and guides real-time action
Revealing the AI architecture enabling contextual awareness and natural-language interaction with live plant data
Presenting measurable impact including reduced response times, near-miss prevention and lower cognitive load

12:25 - 12:30

Q&A SESSION ON HOW AI ASSISTANTS 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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