Statler College of Engineering and Mining Resources
Petroleum and Natural Gas Engineering
Subsurface Analytics is a new technology that changes the way reservoir simulation and modeling is performed. Instead of starting with the construction of mathematical equations to model the physics of the fluid flow through porous media and then modification of the geological models in order to achieve history match, Subsurface Analytics that is a completely AI-based reservoir simulation and modeling technology takes a completely different approach. In AI-based reservoir modeling, field measurements form the foundation of the reservoir model. Using data-driven, pattern recognition technologies; the physics of the fluid flow through porous media is modeled through discovering the best, most appropriate relationships between all the measured data in a given reservoir.
Digital Commons Citation
Mohaghegh, Shahab D., "Subsurface Analytics: Contribution of Artificial Intelligence and Machine Learning to Reservoir Engineering, Reservoir Modeling, and Reservoir Management" (2020). Faculty & Staff Scholarship. 3089.
ScienceDirect.com PETROLEUM EXPLORATION AND DEVELOPMENT Volume 47, Issue 2, April 2020 Elsevier