Explore previous conference sessions

Hundreds of conference sessions were presented each day at the AI in Oil & Gas Conference & Exhibition 2026. As we work on developing the 2026 agenda,
filter the sessions to find those that align with your role and interests.

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Showing 16 Sessions

09:00 - 09:30 | May 14 2026

ML-generated metadata and Agile Governance improves data Trust and Accessibility.

  • Ever have one or more of these data challenges – all team members not using or knowing which is the most up to date data input file, can’t find critical data from acquired assets for regulatory reporting, manual searching and cataloguing of acquired asset data, multiple versions of files taking up large volumes of storage?
  • Digital Transformation is a step change driven by combining first principal approaches with data-driven insights to drive key business decisions. Reliable and accessible data is therefore key to drive digital transformation.
  • Data-driven approaches require easy access to high quality data with reliable context for understanding. A local case study reveals that clunky file systems and fragile folder/file organization conventions create huge impediments for data science due to duplication, inconsistency and generally unreliable datasets.
Jason Baihly, SLB
Jason Baihly

Digital Production Business Owner North America Onshore , SLB

10:00 - 10:30 | May 14 2026

Booked for ADAPTS

Sharad  Agrawal, Adapts
Sharad Agrawal

Chief Operating Officer (COO) , Adapts

11:00 - 11:30 | May 14 2026

Daily Work Planning as a Lens into Operational Risk

  • See how AI turns daily planning conversations into a powerful new lens for risk intelligence and field leadership, revealing the hidden signals most indicative of safety risk, operational disruption and rework, and high financial impact.
  • Learn how AI-enabled benchmarking and real-time insights give leaders clear visibility into field work planning, uncovering where to focus attention and coaching for earlier intervention, target leadership support, and achieve performance gains.
  • Discover new approaches to deliver insights to field crews using AI and natural language dialogue rather than static reports, empowering crews to make better decisions, adapt effectively, and take action before small issues escalate.
Barry  Nelson, FactorLab
Barry Nelson

CEO , FactorLab

11:30 - 12:00 | May 14 2026

From Alerts to Action: How Autonomous Systems Are Changing Remote Upstream and Refining Operations

  • How autonomous systems move operations from reactive alerts to coordinated action 

  • The role of IA2IA communication in improving decision quality, safety, and efficiency 

  • Practical insights into applying autonomy across upstream and refining operations 

  • A realistic roadmap from assisted operations to industrial autonomy 

Alessandro  Speranza, KBC
Alessandro Speranza

Global Technology Portfolio Manager , KBC

13:00 - 13:30 | May 14 2026

Renewable-crude pathways and the role of digital traceability

  • Feedstock variability challenge: Fast-pyrolysis, HTL, and Fischer–Tropsch routes are progressing, yet small-scale plants produce highly variable crude quality (oxygen, metals, TAN, stability), creating refinery compatibility and blending risks.

  • Need for consistent, spec-compliant feed: Predictable quality is essential to protect catalysts, avoid unit upsets, and meet carbon-intensity (CI) and regulatory directives across the full supply chain.

  • Digital and blockchain-IoT solutions: A shared, tamper-evident data layer links batch IDs with lab results and custody history, enabling real-time quality visibility, preventing double counting, and providing auditor-ready proofs—delivering repeatable specs, clearer acceptance windows, and fewer disputes for refiners and offtakers.

Aditya  Banerjee, Stratas Advisors
Aditya Banerjee

Director, Downstream , Stratas Advisors

13:30 - 14:00 | May 14 2026

Human AI Collaboration and Cognitive Interface

  • The daily struggles in the life of a foreman
  • Taking the holistic efficiency & impact-based approach
  • Shortest route for doers, data and decision makers with a bi-directional Control Tower & the Digital Foreman
  • Introducing the PACE Project Guardian – 24x7 assistant to the human for data, workflows and predictions
Yogesh C Srivastava, TEKNOBUILT
Yogesh C Srivastava

Founder & CEO , TEKNOBUILT

14:00 - 14:30 | May 14 2026

From Insights to Action: How GenAI Agents Elevate Reliability and Maintenance in FPSOs

  • Gen AI Agents enabled true generic predictive maintenance, which was not possible before this technology
  • Reliability improves when insights are close to actions with tangible recommendations
  • Gen AI Agents can function as guardians, filtering out noise from predictive models’ results, providing curated outputs.
Caio  Sene, Shape Digital
Caio Sene

VP of Client Services , Shape Digital

15:30 - 16:00 | May 14 2026

Harnessing Artificial Intelligence to Accelerate Workforce Transformation in the Global Energy Transition

  • How AI is reshaping talent strategies, operations, and safety in upstream and downstream sectors.
  • Practical applications of AI in optimizing energy systems and reducing emissions across the value chain.
  • Bridging human intelligence and machine learning to empower a resilient and future-ready energy workforce.
Sonia Clayton, Virtual Intelligence Providers
Sonia Clayton

President & CEO , Virtual Intelligence Providers

09:00 - 09:30 | May 15 2026

Data-driven Virtual Flow Meter

  • Introduction physical meters vs virtual flow meter(VFM) for production flow estimation
  • Machine learning/deep learning modeling for VFM
  • Automated workflow pipeline
Yongfeng Li, Oxy
Yongfeng Li

Manager Eng Analytics , Oxy

10:00 - 10:30 | May 15 2026

Enhancing Midstream Operation Reliability with Predictive AI

  • Predictive AI for Reliability: Demonstrate how AI models can anticipate maintenance needs, reducing unplanned downtime and improving asset availability.
  • Data Integration: Showcase the unification of real-time telemetry and historical operational insights to create a holistic view of compressor performance.
  • Enterprise-Grade Deployment: Explore the deployment of the AI platform as Palantir on AWS’s secure and scalable cloud infrastructure, ensuring high availability, compliance, and operational scalability.
  • Operational Impact: Highlight tangible improvements in reliability, maintenance efficiency, and decision-making through predictive insights.
Praveen  Shiveswara Sridharamurthy, LTIMindtree
Praveen Shiveswara Sridharamurthy

Principal Architect , LTIMindtree

10:30 - 11:00 | May 15 2026

From Pilots to Production: Scaling Trustworthy AI Across the Oil & Gas Value Chain for Real Operational and Business Impact

  • Artificial Intelligence is no longer a future promise for Oil & Gas — but scaling it beyond pilots remains a leadership challenge. This session explores how AI can be effectively operationalized across the O&G value chain, from upstream exploration and predictive maintenance to downstream optimization and commercial decision-making. 
  • Drawing from real enterprise-scale transformations in highly regulated and asset-intensive environments, the talk addresses three critical dimensions: (1) aligning AI initiatives with core business value and operational KPIs; (2) building trust through governance, data integrity, and responsible AI practices; and (3) enabling organizational adoption by integrating people, processes, and technology. 
  • Attendees will leave with a pragmatic framework to move from experimentation to sustainable AI-driven performance, reducing risk while accelerating impact.
Alessandra  Karine, Orchestrategy
Alessandra Karine

Founder & Key Opinion Leader , Orchestrategy

11:00 - 12:00 | May 15 2026

Panel Discussion - AI-Driven Field Operations: From Predictive Analytics to Autonomous Decision-Making in Upstream & Midstream

Kamilah Jamil, Petronas
Kamilah Jamil

Senior Manager , Petronas

Iniesta Alberto, Worley
Iniesta Alberto

Director - Customer Solutions , Worley

Raj Kannan, SLB
Raj Kannan

Business Development Manager , SLB

Jaimy  Mathew , Digineox
Jaimy Mathew

SME OCM, People & Culture , Digineox

13:30 - 14:00 | May 15 2026

Orchestrating Value And Adoption: Key To Successful Digital Engineering Transformation

  • Challenges in achieving full value potential from digital transformations (given the Complexity, heterogeneity, and maturity of transformation initiatives)
  • Our Approach: Integrated Value Office as custodian for all initiatives
    Stakeholder is key: “Business-led with digitally support”. Gather substantial support and recognition from various stakeholders e.g., business owners, finance etc.
  • Ensure that right value is generated from transformation initiatives. Value hunting as top priority when pursuing innovation and business objectives.
    Value Obsession Framework (VOF) clear stage-gates across the value creation process.
    Well-defined Standard Operating Procedure (governance process)
Kamilah Jamil, Petronas
Kamilah Jamil

Senior Manager , Petronas

Faidsal Farid, Petronas
Faidsal Farid

Senior manager , Petronas

14:30 - 15:00 | May 15 2026

From Hype to Impact: Path to Deployable AI for Seismic Processing and Imaging

  • Framing the Landscape: What’s trending in AI for seismic workflows and how hybrid physics?plus?AI methods are augmenting seismic processing for QC and parameterization.
  • Choosing the Right Approach: Balancing model?driven and data?driven AI while applying lessons learned around quality, scalability, and geophysical trust.
  • Delivering Business Value: Driving speed, efficiency, and operational impact through effective AI?enabled seismic solutions.
Shuzhen  Ye, Shell
Shuzhen Ye

Citizen Data Scientist at Processing Geophysics , Shell

15:00 - 15:30 | May 15 2026

The Oil & Gas Reliability Engineer of the Future: AI + Human Expertise

  1. AI will not replace reliability engineers in the oil and gas industry; instead, it will enhance their capabilities, enabling engineers to focus on strategic decision-making, risk management, and long-term asset integrity.

 

  1. Participants will learn how the oil and gas reliability engineer of the future will combine traditional engineering expertise with AI-driven insights, using data analytics and predictive tools to make smarter, faster, and more proactive maintenance decisions.
Olawale  Onasoga, Atlantic LNG
Olawale Onasoga

Reliability Engineering Manager , Atlantic LNG

15:30 - 16:00 | May 15 2026

Business Architect

  • Adoption of AI in the Energy Industry
  • The role of platform business AI in adoption
  • Data is still the foundation of AI
Benjamin Beberness, Accenture
Benjamin Beberness

Business Architecture Associate Director , Accenture