- SPE Energy Stream
- SPE Live: Generative AI Implementations on Spatial Data
SPE Live: Generative AI Implementations on Spatial Data
Wednesday, May 22, 2024 | 09:00AM - 09:30AM CT
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This SPE Live introduces three prominent approaches to generative AI, followed by a presentation of a novel method utilizing two of these approaches to efficiently generate high-quality geomodels essential for understanding the probabilistic distributions of geological properties within a subsurface hydrocarbon play. By combining a hierarchical vector-quantized autoencoder with an autoregressive model, significant acceleration of both unconditional and conditional geomodel generation is achievable through this implementation of generative AI.
Speaker: Dr. Siddharth Misra, Associate Professor at Texas A&M University.
Moderated by Yusuf Ajibola Falola, PhD student, Department of Petroleum Engineering Texas A&M University.
Additional Resources:
OnePetro:
- In-House Integrated Big Data Management Platform for Exploration and Production Operations Digitalization: From Data Gathering to Generative AI through Machine Learning Implementation Using Cost-Effective Open-Source Technologies – Experienced Mature Workflow
- Visualizing Geoscience Data Interpretation Into Photorealistic Modern Analog Using Generative AI: A Preliminary Result From Carbonate Platform Environment
- A Conceptual Model to Maximize Project Efficiency Through Automated Scheduling Using Generative AI Models
This event has not yet started.Please check back a few minutes before the posted start time or refresh the page.
This event has not yet started.Please check back a few minutes before the posted start time or refresh the page.