AI & Deep Learning in Action – Better Production Forecasting and Reservoir Simulations

When:  Jul 30, 2025 from 10:00 AM to 11:00 AM (CT)

The SPE Research and Development Technical Section (RDTS), along with the DSEA Technical Section (DSEATS) and the SPE Gulf Coast Section (GCS), invites you to attend an SPE webinar titled "AI & Deep Learning in Action – Better Production Forecasting and Reservoir Simulations”. It is free to all SPE members.

Date: Wednesday, 30 July 2025

Time: 10:00am CDT (UTC-5)

Abstract:

This presentation explores the application of AI and Deep Learning techniques to enhance efficiency and accuracy in several exploration and production (E&P) workflows.

  1. The first project aims to significantly accelerate production forecasting for unconventional shale assets while reducing data requirements.
  2. The second project focuses on developing LSTM-based (Long Short-Term Memory) Sequence-to-Sequence Recurrent Neural Network (RNN) models for Carbon Storage forecasting.
  3. The third project leverages neural operators with transfer learning to speed up 3D reservoir simulations.

Speaker Bio:

Dr. Sid Misra, an Associate Professor at Texas A&M University, specializes in subsurface monitoring and forecasting for the exploration and production of earth resources. With an undergraduate degree in electrical engineering from the Indian Institute of Technology, Bombay, and a Ph.D. in petroleum and geosystems engineering from The University of Texas at Austin, Dr. Misra has authored two books and spearheaded the development of nine patented technologies. His impactful work in machine learning and electromagnetic sensing significantly contributes to advancements in energy and earth resource exploration.

Moderator Bio:

Dr. Amit Kumar joined ExxonMobil in 2013 and is currently a Data Science Technical Project Manager in the Unconventional business line. His focus areas include Production Optimization and Downtime Reduction through AI/ML. Amit has bachelor’s and PhD degrees in Chemical Engineering from the Indian Institute of Technology Kanpur and the University of Illinois Urbana Champaign, respectively. Subsequently, he worked as a Postdoctoral Scholar at the University of Wisconsin Madison.
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