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
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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?

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Brent Railey

Chief Data & Analytics Officer
Chevron Phillips Chemical Company

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Partha Chatterjee

Principal, Data Analysis
Shell

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Nav Chawla

Head of Digital
Civitas Resources

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Ido Biger

Chief Technology & Data Officer
Delek US

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Sumeet Trehan

Principal, AI/ML
ExxonMobil

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


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Bala Rangaratnam

Senior Manager of Data Science
Chevron

Asset Performance Management

2:00 pm - 2:30 pm Enhancing Visibility using Computer Vision to Predict and Prevent Equipment Failure

● Detecting patterns and anomalies, improving reliability and safety in operations and identifying early warning signs of failure before costly breakdowns occur

● AI-powered visual inspections to reduce downtime, enhance asset performance, and optimize maintenance schedules

● Integrating computer vision with existing systems to drive proactive decision-making, minimize risk, and extend the life of critical equipment


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, 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


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Peng You

Data Science Manager, Chemometrics and AI and Statistics
Dow

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Swee-Teng Chin

Statistics Technical Leader
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

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Amit Kumar

Data Science Technical Project Manager
ExxonMobil

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

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Partha Chatterjee

Principal, Data Analysis
Shell

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 Making Turnarounds Less Painful with AI

IDG B

3:30 pm - 4:10 pm AI-Enhanced Personal Safety

IDG C

3:30 pm - 4:10 pm AI-Powered Data Contextualization

IDG D

3:30 pm - 4:10 pm Gen AI & Data Intelligence: Unlocking Asset Reliability

IDG E

3:30 pm - 4:10 pm Identifying Untapped Opportunities for AI in Your Operations

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

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Dr Ashwani Dev

Chief Digital Officer
Crowley

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Brent Railey

Chief Data & Analytics Officer
Chevron Phillips Chemical Company

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Peng Xu

Senior Principal, Data Science
ExxonMobil

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Sumeet Trehan

Principal, AI/ML
ExxonMobil

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

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

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Meenakshi Mishra

Principal Data Scientist
ExxonMobil

5:45 pm - 5:50 pm Chair's Closing Remarks

Sumeet Trehan - Principal, AI/ML, ExxonMobil
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Sumeet Trehan

Principal, AI/ML
ExxonMobil

6:00 pm - 7:00 pm Networking Reception for all Attendees, Speakers & Sponsors