AADE Houston IETG Meeting

Presenting: From Theory to Practice: Bringing Generative AI to the Energy Industry
 

The energy industry stands at a crossroads. Decades of research sit dormant while GenAI models offer revolutionary potential. We bridge this chasm with a product suite, wielding a first-of-its-kind Energy LLM empowered by a RAG-based knowledge extraction system. Imagine forecasting oil production, optimizing grids, and crafting personalized energy solutions – all powered by this AI-fueled synthesis. But our vision extends beyond. We harness the LLM’s core Transformer architecture for temporal applications, opening doors to pinpoint demand forecasting and dynamic resource allocation. Join us as we transform theory into practice, unlocking a sustainable future powered by GenAI’s boundless potential.

 

Akash Sharma - As Director of Product Innovation at Enverus' Ventures Division, Akash spearheads strategic initiatives that drive growth by leveraging his expertise in analytics, data science, and complex systems engineering for decision intelligence solutions.

 

Currently, Akash leads the strategy and development of Generative AI across Enverus' entire product portfolio, positioning the company at the vanguard of AI transformation in the energy sector. His work is instrumental in shaping how AI technologies are revolutionizing energy industry practices and decision-making processes.

 

With over a decade of experience spanning petroleum engineering, data science, product management, and consulting, Akash has established himself as an internationally recognized thought leader and trusted advisor on digital transformation. His unique perspective is shaped by advanced degrees in petroleum engineering from the University of Houston and computational data analytics from Georgia Tech.

 

A prolific contributor to industry knowledge, Akash's research papers, which have amassed over 130 citations, reflect his significant impact in the field. He regularly shares insights through publications, conferences, podcasts, and committee work. As a published author with SPE and AAPG and an active member of the Digital Energy Technical Section and Digital Transformation Committee, he continues to push the boundaries of innovation in the energy sector.

 

 

 

Occidental Petroleum performed manual processes for planning, executing, and analyzing their wells within drilling and completions. A holistic approach was developed utilizing cloud technology to centralize, standardize, and automate our drilling data into a digital environment. With the capabilities of the cloud and edge devices in the field, we aim to improve productivity and execute wells using advanced analytics to drive data informed decision making.

 

 

This presentation discusses why and how a human should play a role in Artificial Intelligence (Al)-driven workflows and decisions, and how that role is evolving with time. Examples illustrate the shortcomings of existing Al systems and where human intervention is needed to guide and QC those systems. The human involvement is described in detail for a completion optimization Al workflow both as of today and 5+ years from now. The presentation defines Al, describes how Al creates value, and spotlights a fundamental limitation of Al in its application to 'extrapolated' situations.

The one idea members should take away from this lecture is that Al is not magic, needs human guidance and QC, and the human role will evolve and remain needed even as Al systems become increasingly sophisticated.

 

Professor George Voneiff has forty years of oil and gas experience, primarily in unconventional reservoirs. He founded, built, and sold several E&P companies in the US and Canada, teaches graduate-level Petroleum Engineering classes at Texas A&M University, and is SVP Unconventional Solutions at Datagration Solutions Inc. Honors include the Texas A&M Petroleum Engineering Academy of Distinguished Graduates (2013), the Sproule Lifetime Achievement Award from the Canadian Society for Unconventional Gas (2005), the #1 Company in the Texas A&M Mays Business School Aggie 100 (2005), and Finalist/runner-up in the Ernst & Young Canadian Entrepreneur of the Year (2004).
 

The Norris CityCentre facility is located at the corner of intersection of IH-10 West and Beltway 8. The location features plenty of complimentary parking.

 

IMPORTANT NOTE – For your convenience, we encourage you to park in the garage that is attached to the Norris Centers location (enter the parking garage from Beltway 8). Take the “up” ramp in the middle of the parking garage. You will see signs with the Norris name and logo directing you to the correct floors to park.  Please note that a number of parking spaces are reserved for other tenants of the complex and have “reserved” signs identifying these spaces, so please avoid parking in these reserved spots.  There is plenty of parking on the roof!