Past event: Machine Learning in Oil & Gas Conference 2023

Deploying Machine Learning models to optimize Oil & Gas upstream, midstream, and downstream operations

The 8th annual Machine Learning in Oil & Gas conference will be the industry's crucial education and networking gathering of leading changemakers, innovators, and technology experts on how to propel you on your Machine Learning journey.

You'll gain exclusive access to the decision-makers from key upstream, midstream, downstream, drilling, and service companies. This 2-day conference lets you showcase your latest innovations and services to the company's stakeholders in buying mode.

It is also an opportunity to sit alongside business leaders and share your thoughts on the role of Machine Learning in digital transformation.

Machine Learning in Oil & Gas in Numbers

  • 250 + Attendees
  • 20+ insightful content sessions
  • 2 days of learning and networking
  • 40+ thought leading speakers
  • Unlimited 1-2-1 meetings

4 Reasons why Machine Learning in Oil & Gas is the leading Digitalization Conference

  • The conference brings together 250 + data scientists and analysts, allowing you to benchmark your Machine Learning strategies against industry standards and stay ahead of the curve
  • The conference unities data science experts with technology providers promoting the ultimate networking hub
  • The conference focuses on technical and strategic business sessions split across 2 comprehensive days built on 20+ case studies to ensure your Machine Learning project challenges and opportunities are addressed
  • The conference features 40+ data leaders to ensure you walk away with practical insights
This conference is for you if:
  • You have new or existing technology or service to help data scientists/analysts professionals trying to data scientists and analysts achieve their project goals
  • You want to meet and connect with 250+ data experts
  • You want to have pre-arranged meetings with decision-makers
  • You want to present your technology or service to the 250+ attendees
  • You want to upscale your business by making vital connections
  • You want to expand your customer base, capture leads, and close deals with attendees in buying mode
  • You want real-time market insights into your products and services
  • You want to strengthen your position in the industry
  • You want to showcase the results of past projects
  • Your focus is on one of the following areas - Data collection and analytics, CCUS Technology, real-time monitoring/ evaluation, cloud solutions, predictive analytics, Cybersecurity, Automation solutions, AI/ML platforms, Incident Management systems, Oilfield technology, and Carbon tracking, measuring, and reporting



"I think the conference was well run and went smoothly for the attendees. Content-wise, I think Energy Conference Network is chasing a lot of good energy in the ML/AI space, and I thought the panel discussions were great."

Exploration Manager, Hess

"A lot of good insights came my way, and it was good to hear from industry giants and how closely they associate ML and Innovation. Thank you for providing a platform for like-minded data professionals in the oil and gas domain get together and discuss potential opportunities."

Ruchi Rozario, Lead Data Scientist, EZ Ops

"This was a good way to stay up-to-date with the latest and forthcoming development... Thanks to all who participated and organized!"

Martin Storey, Director, Well Data QA

2023 Speakers

  • Rajeev Aluru, Managing Director, Innovation & Analytics, Smartbridge
  • David Benham, Director of Data and Innovation & Principal Data Scientist, Vital Energy
  • Srimoyee Bhattacharya, Senior Data Scientist, Shell plc
  • Manja Bogicevic, CEO & Founder, Kagera
  • Bernardo Braunstein, Performance Systems and Analytics Lead, Noble Corporation
  • Jim Claunch, Expert Partner, Bain and Company
  • David Crawley, Professor of Practice, University of Houston
  • Sean Donegan, President and CEO, Satelytics, Inc.
  • Apurva Gala, Senior AI Solutions Researcher, Shell
  • Lucas Green, Automation and Operations Center Manager, Maverick Natural Resources
  • Amy Henry, CEO, EUNIKE Ventures, Inc.
  • Catalina Herrera, Principal Solutions Engineer, Dataiku
  • Taras Hnot, AI Energy & Manufacturing Consultancy Lead, SoftServe
  • Wenyi Hu, Global ML/AI Scientist - Subsurface, Slb
  • Summer Husband, SVP, Data & Applied Intelligence, Worley
  • Amit Jain, Advisor Simulations, Chevron
  • Inderpreet Jalli, Senior Load Forecast Analyst, NRG Energy
  • Dr. Vikram Jayaram, Head of Data Science and Corporate Innovation Program Manager, Pioneer Natural Resources
  • Ziad Katrib, CTO/COO, BKO Services
  • Weichang Li, Head of Machine Learning Group, Aramco Americas, Houston Research Center
  • Al Lindseth, Principal, CI5O Advisory
  • Meng Ling, Data Scientist, Shell
  • Susan Nash, Ph.D., Director, Innovation, Science, and Technology, American Association of Petroleum Geologists
  • Hatem Nasr Ph.D, Director Digital Business Solutions, SoftServe
  • Uchenna Odi, PhD, MBA, Digital Transformation Lead | Petroleum Engineering Specialist, Aramco Americas
  • Konstantin Osypov, Chief Scientific Advisor, Halliburton
  • Sudhir Pai, Executive Vice President/Chairman BOD, Acteon Group / Technology Collaboration Center
  • Krzysztof (Kris) Palka, Founder & CEO, AkinĂȘ Inc.
  • Brent Railey, Manager of Data Science, Chevron Phillip Chemical Company
  • Prasenjit Roy, Senior Staff Geophysicist, Chevron
  • Dr.Robello Samuel, Chief Technical Advisor and Technology Fellow, Halliburton
  • Anshumali Shrivastava, Associate Professor, Department of Computer Science Rice University
  • Anupam Singh, Investment Director, Aramco Ventures
  • Stephen T. Wong, Scientist, Professor, John S Dunn Presidential Distinguish Chair, Houston Methodist and Professor of Radiology, Neuroscience, Pathology and Laboratory, Cornell University, Houston Methodist Hospital
  • Alec Walker, Digital Thread Architect, DOW
  • Robert Ward, VP, Business Development, Kuva Systems
  • Tina Zhao, Industrial AI Lead, Shell

Please fill in your name and email to receive the Conference Agenda of this event.

Venue

Houston Marriott Museum District
6580 Fannin St., 77030
Houston, TX, USA

+1 713-796-0080
Website
Event details
Organizer : Energy Conference Network
Event type : Conference
Reference : ASDE-24051