April 11, 2024


Description

Data Science Convention is the annual flagship event of the SPE-GCS Data Analytics Study Group.

The theme for this year is "Crude Intelligence: Mainstreaming AI in the Energy Industry”

Our goal is to achieve SPE’s core values in supporting talented industry professionals, YPs, and students interested in advancing their skill sets in the energy and technology industry.

Event includes:  

  • Keynote speakers from leading energy and technology sectors

  • Technical presentations and panel discussion

  • Poster competition

  • Exhibit floor and happy hour

  • Lunch and coffee break

Learn, network and discuss groundbreaking research and insights about the profound transformation of the oil and gas industry through AI’s journey into everyday use. From predictive maintenance on oil rigs to streamlined exploration processes, this conference unveils the practical applications and real-world impact of AI, shaping a future where AI isn’t just a tool but an intrinsic part of the industry’s everyday narrative.


This event transcends the confines of traditional tech discussions and unlocks how AI can be seamlessly and ethically integrated into our daily oil and gas operations, becoming an indispensable part of our journey towards efficiency, sustainability, and operational excellence.

 

 

 


All sponsorship contributions are allocated to the SPE-GCS scholarship fund and our upcoming events. We also offer sponsorship opportunities in this event:

Please reach out to Michael Edwards or

Visit our page: Event - Data Science Convention 2024: Call for Sponsors (spegcs.org)


Featured Speakers

Speaker: Michael Pyrcz
Speaker Michael Pyrcz


Michael is an expert in spatial data analytics, geostatistical reservoir modeling, and machine / statistical learning, He has 19 years of experience consulting and teaching and has published over 65 peer reviewed papers and 1 textbook on the topic. This includes 13 years at Chevron, where Michael was a Chevron …


Michael is an expert in spatial data analytics, geostatistical reservoir modeling, and machine / statistical learning, He has 19 years of experience consulting and teaching and has published over 65 peer reviewed papers and 1 textbook on the topic. This includes 13 years at Chevron, where Michael was a Chevron company-wide expert responsible for: (1) conducting and managing data analytics, reservoir modeling and related R&D, (2) conducting and reviewing data analytics, reservoir modeling projects and (3) training and establishing standards for reservoir modeling. Recently, Michael accepted a new challenge as a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and the Department of Geological Sciences at The University of Texas at Austin. For complete list of his accomplishments see his website at www.michaelpyrcz.com and follow him on GitHub GeostatsGuy, Twitter @GeostatsGuy and YouTube GeostatsGuy Lectures for recent news and geostatistics and machine learning resources.

Full Description

Speaker: Sarah Karthigan
Speaker Sarah Karthigan


Sarah Karthigan is the GM of Strategy & Innovation, Enterprise Data and Insights at Chevron. She is a reputed leader with a demonstrated history of leading digital transformation initiatives in the energy industry. She was named one of 2021’s 25 Influential Women in Energy in recognition of her outstanding work …


Sarah Karthigan is the GM of Strategy & Innovation, Enterprise Data and Insights at Chevron. She is a reputed leader with a demonstrated history of leading digital transformation initiatives in the energy industry. She was named one of 2021’s 25 Influential Women in Energy in recognition of her outstanding work to accelerate the adoption of data science to enable data-driven decision-making across the integrated oil and gas value chain.


Karthigan started her career at ExxonMobil over a decade ago and has since held various roles of increasing responsibility in the areas of strategic planning, project management, scientific computing, and data science. She currently leads the AI operations practice, which is focused on realizing self-healing strategies, and is also responsible for managing external relationships with multiple technical business partners.

Full Description

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Organizer

SPE GCS Data Analytics Study Group


Date and Time

Thu, April 11, 2024

8 a.m. - 5 p.m.
(GMT-0600) US/Central

Event has ended
View Our Refund and Cancellation Policy

Location

Norris Center City Center

816 Town & Country Blvd, Suite 210
Houston, TX 77024



Group(s): Data Analytics