The Leading Event Dedicated to Leveraging AI to Power Intelligent Operations and Maximize Asset Performance
Main Conference Day 1 - February 24, 2025
11:00 am - 11:25 am
Registration for Conference Attendees
11:25 am - 11:30 am
Opening Remarks from Event Director
11:30 am - 11:40 am
Chair’s Opening Remarks
Sumeet Trehan -
Principal, AI/ML,
ExxonMobil
11:40 am - 12:15 pm
Panel Discussion: Accelerating your AI Journey: Operating in the World that’s Coming
Brent Railey -
Chief Data & Analytics Officer,
Chevron Phillips Chemical Company
Partha Chatterjee - Director, Energy, Data and AI, MRE Consulting
Nav Chawla - Head of Digital, Civitas Resources
Ido Biger - Chief Technology & Data Officer, Delek US
Sumeet Trehan - Principal, AI/ML, ExxonMobil
It’s estimated that over 80% of North American energy companies will have implemented some form of AI in their operations by 2025. Many are starting small, demonstrating value, and looking to aggressively scale. The sector is on the precipice of the most dramatic transformation in how operations are conducted, how decisions are made, and how employees interact with assets. Our keynote panel will discuss:
● Scaling AI PoC’s by championing value to a range of stakeholder to drive greater efficiency, innovation, and value to your organization
● Exploring the anticipated rise in data and AI-related regulations, with 60% of energy leaders expecting new compliance standards within the next five years
● Futureproofing AI projects by increasing data quality and access
● Preparing for workforce transformation: How do you identify – and then develop - the digital skills and capabilities you need?
12:15 pm - 12:45 pm
Fireside Chat: Scaling AI for Health, Safety, and Environment in the Energy Industry
Venky Sankaran -
AI & Analytics Leader, HSE&C, Sustainability and Process Safety,
bp
Justin Ceterski - Global Manufacturing Excellence Lead, Shell
With 92% of oil and gas companies actively investing in AI, in this session we will explore how AI can be effectively deployed and scaled across the Health, Safety, and Environment (HSE) sectors.
- The potential areas where AI can deliver quick wins and realize business value
- Practical implementation through real-world use cases, highlighting the importance of data for enabling AI at scale
- Simple techniques for achieving success with AI, providing executives with actionable insights to drive their initiatives forward
12:45 pm - 1:45 pm
Networking Luncheon
Track: Asset Performance Management
1:45 pm - 1:45 pm Track Chairman Sumeet Trehan - Principal, AI/ML, ExxonMobilTrack: Asset Performance Management
1:45 pm - 2:15 pm Case Study: Bayesian and Scientific ML can simplify Digital Twin Development for Asset Operations Bala Rangaratnam - Senior Manager of Data Science, Chevron- We outline Bayesian & Scientific ML methods for high-fidelity models in data-scarce scenarios
- Highlight differences with traditional machine learning models and neural networks by effectively quantifying uncertainty and incorporating physics and engineering knowledge
- Discuss Application of methods to use cases in energy
- Challenges in implementation and scaling across diverse assets
Track: Asset Performance Management
2:15 pm - 2:45 pm Actionable AI: A Step Change in Risk Visibility Douglas Stephens - Account Executive, Detect Technologies- Analyze practical examples and real-world use cases for AI-powered visual inspections that reduce downtime, enhance asset performance, and optimize maintenance schedules
- Evaluate how gaining early and accurate insights has resulted in a cultural shift with tech-enabled EHS management
- Review the most mature application areas of AI in construction to determine how Detect Technologies is revolutionizing the way we build with AI
Track: Asset Performance Management
2:45 pm - 3:15 pm Case Study: GenAI-enabled Asset Reliability Tool at Dow Swee-Teng Chin - Statistics Technical Leader, Dow● Moving beyond analyzing data from a single source and manual work to identify relevant equipment failure records
● Leverageing GenAI capabilities to automatically extract key failure information that enables the analysis of reliability metrics from multiple sources and sites, including both structured and unstructured data
● Examining how this comprehensive approach will provide enhanced analytics and insights across various sites and businesses within Dow
Track: Operational Optimization
1:45 pm - 1:45 pm Track Chairman Partha Chatterjee - Director, Energy, Data and AI, MRE ConsultingTrack: Operational Optimization
1:45 pm - 2:15 pm Downtime Reduction in Permian Operations through AI and ML at ExxonMobil Amit Kumar - Data Science Technical Project Manager, ExxonMobil● Discussing the specific challenges associated with unconventional operations and key causes of downtime
● Applying AI/ML including Liquid Loading prediction and ESP Failure Prediction
● Identifying the data, technology, tools and people needed to successfully realize value from these technologies
Track: Operational Optimization
2:15 pm - 2:45 pm Faster, Safer and Better: Unlocking Operational Efficiency with AI in Energy Diti Sood - Co-Founder and CEO, Bolo AI- Explore how GenAI and Agentic AI can drive operational efficiency for the energy value chain
- Understand how breaking down data silos and integrating diverse sources provides real time data enabling better decision making
- Hear use cases and value realized
Track: Operational Optimization
2:45 pm - 3:15 pm Case Study: Creating a Digital Strategy for Optimizing Operations Leveraging AI and Generative AI Partha Chatterjee - Director, Energy, Data and AI, MRE Consulting● Integrating operational data with regulatory and operational manuals
● Exploring how operators can improve monitoring and supervision of operations to address alerts
● Using Generative AI tools to assist in providing the answers to address the issues
3:15 pm - 3:55 pm
Innovation Acceleration Session and Networking Break
This structured networking session is the ideal opportunity for you to capitalize on time out of the office by speaking to each of our event partners in attendance and learning about the essential solutions available to your specific challenges. How does it work? It’s easy. You spend five minutes at a booth of your choice, and when the bell rings you’ll be directed to the next one to start another round of learning and networking. At the end of the session, you’ll have met a selection of our event partners, and for any you have missed, you can connect with them at the networking cocktail reception at the end of the day.
Interactive Discussion Groups
IDG A
3:55 pm - 4:35 pm Using Real Time Insights from Continuous Monitoring for increased Field Response TimeIncreasing operational efficiency by incorporating jobs into workflows through intelligent insights
IDG C
3:55 pm - 4:35 pm Combining Different Data Sets: AI-Powered Data Contextualization Dr. Michael D. Moore Ph.D. - Senior Director, Strategy and Innovation, Neo4jBreaking down data silos with GraphRAG for more accurate, relevant and explainable AI results
IDG D
3:55 pm - 4:35 pm AI & Data Intelligence: Unlocking Asset Reliability Julie Thyne - Global Improvement Director, DowUsing AI for proactive maintenance and to ensure the reliability of assets regardless of profile
IDG E
3:55 pm - 4:35 pm Identifying Opportunities where AI-driven Data & Analytics Can Optimize Operations Chitrang Shah - CEO, Savant LabsHow AI can be utilized to optimize data, analytics, and reporting for a range of use cases such as demand forecasting, inventory control, and supply chain management.
Savant Labs leads this session with customer case studies and learnings that help improve real-time decision-making through AI-driven data, analytics and reporting.
4:35 pm - 5:15 pm
Panel Discussion: Navigating AI Risks: Building Trust and Transparency in Operational Transformation
Dr Ashwani Dev -
Chief Digital Officer,
Crowley
Brent Railey - Chief Data & Analytics Officer, Chevron Phillips Chemical Company
Peng Xu - Sr. Principal, Finance, Commercial & Trading Data Science, ExxonMobil
Sumeet Trehan - Principal, AI/ML, ExxonMobil
As AI becomes integral to operations, 68% of organizations express concerns over transparency, fairness, and accountability in AI-driven decisions. In the energy sector, where AI has the potential to revolutionize operations, building trust in these technologies is crucial to mitigating risk and ensuring smooth adoption. This panel of industry operators will discuss the challenges and strategies involved in fostering transparency, managing risk, and building a culture of trust in AI-powered operational transformation.
● Exploring real-world experiences of operators addressing AI-related risks, including data privacy, bias, and decision accountability
● Building transparency into AI systems to gain stakeholder confidence and drive successful AI adoption across operations
● Managing AI governance and ethical considerations in high-risk, high-impact environments like Oil & Gas
● Understanding the role of cross-functional collaboration in developing AI solutions that are both effective and trusted by teams at all levels
