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 - Principal, Data Analysis, Shell
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 - 12:35 pm
Empowering Operations Teams with Decision-Ready Data, Simplified Workflows and Institutionalized Knowledge Capture
- Exploring how enabling decision-ready data can improve operational efficiency by up to 25%, reducing downtime and accelerating decision-making
- Demonstrating how simplified workflows can cut process inefficiencies by 40%, allowing teams to focus on high-impact tasks rather than administrative bottlenecks
- Discussing how institutionalizing knowledge capture can retain critical insights, proving those on the front-line with the information they need to ensure effective decision-making and safety
12:35 pm - 1:30 pm
Networking Luncheon
Asset Performance Management
1:30 pm - 2:00 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
Asset Performance Management
2:00 pm - 2:30 pm Asset Reliability: AI for Predictive Intelligence at Scale- Unifying data from various sources to create effective predictive analytics to drive decision making and expedite risk mitigation
- AI-powered visual inspections to reduce downtime, enhance asset performance, and optimize maintenance schedules
- Gain early and accurate insights to optimize reliability and decrease downtime
Asset Performance Management
2:30 pm - 3:00 pm Case Study: GenAI-enabled Asset Reliability Tool at Dow Peng You - Data Science Manager, Chemometrics and AI and Statistics, DowSwee-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
Operational Optimization
1:30 pm - 2:00 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
Operational Optimization
2:00 pm - 2:30 pm Building the Data Foundation you Need for Interoperable Digital Twins● Breaking down data silos and integrating diverse sources to create a unified, scalable data foundation that enhances real-time decision-making
● Best practices for data management and governance to ensure high-quality, reliable inputs that drive accurate digital twin models
● Discovering how an interoperable digital twin ecosystem enables better asset tracking, predictive maintenance, and operational efficiency across multiple systems
Operational Optimization
2:30 pm - 3:00 pm Case Study: Creating a Digital Strategy for Optimizing Operations Leveraging AI and Generative AI Partha Chatterjee - Principal, Data Analysis, Shell● 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
3:00 pm - 3:30 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.
IDGs
IDG A
3:30 pm - 4:10 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
3:30 pm - 4:10 pm Combining Different Data Sets: AI-Powered Data ContextualizationBreaking down data silos with GraphRAG for more accurate, relevant and explainable AI results
IDG D
3:30 pm - 4:10 pm AI & Data Intelligence: Unlocking Asset ReliabilityUsing AI for proactive maintenance and to ensure the reliability of assets regardless of profile
IDG E
3:30 pm - 4:10 pm Identifying Opportunities where AI Can Optimize Operations and ProductionIncreasing operational excellence by pinpointing opportunities to maximize profits and decrease costs
4:20 pm - 5:00 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 - Senior Principal, Data Science, ExxonMobil
Sumeet Trehan - Principal, AI/ML, ExxonMobil
Taylor Witt - Vice President, Digital & PMO, energyRe
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
5:00 pm - 5:20 pm
Intelligent Condition Monitoring: Solving Problems Before Problems Exist
● Discovering how AI-powered condition monitoring can predict equipment failures before they happen, reducing downtime and costly repairs
● Learning how to leverage ML models to detect subtle changes in equipment behaviour, enabling proactive maintenance strategies
● Exploring real-time monitoring solutions that provide actionable insights, helping operations teams stay ahead of potential issues
● Understanding how intelligent condition monitoring enhances operational efficiency, extends asset life, and improves overall safety in energy environments
5:20 pm - 5:45 pm
Lightning Talks: Moving Beyond Pilot Purgatory: Scaling AI PoC Projects Across the Enterprise
Meenakshi Mishra -
Principal Data Scientist,
ExxonMobil
Prabhu Ramachandran - Senior Digital Transformation Manager, Kaneka
TALK 1: Scaling Time Series Forecasting across the Enterprise
TALK 2: Scaling a R.A.G System
TALK 3: Scaling to Deploy Solutions across Conventional and Unconventional Assets
