It is free to all SPE members.
Date: Thursday, 11 December 2025
Time: 09:00am CST
Location: Online
Speaker: Dr. Mohamed Adel Gabry (University of Houston)
Moderator: Amit Singh (Chevron)
WT is a powerful mathematical framework that decomposes complex, non-stationary signals into their time–frequency components, exposing transient events and subtle dynamic features that the conventional methods often overlook. We have successfully applied this to analyze a vast continuous stream of spatial and temporal upstream data to reveal the underlying physics of subsurface events critical to O&G upstream operations.
In this webinar, we will showcase WT applications to hydraulic fracturing, reservoir management, and drilling. We have used it to determine the fracture propagation events, advanced water-hammer modeling, improved fracture-closure during DFITs, and inter-well connectivity dynamics in waterflooding systems. Integrating WT further with machine learning, analytical modeling, and reservoir simulation, researchers have predicted microseismic activity from fracture treating-pressure data and mapped injector–producer connectivity. The same framework has also been applied to identify natural fractures from drilling parameters and to differentiate between induced and natural fracture networks.
We further show the pathways where WT can enable integration across diverse upstream operations—including well testing, production surveillance, artificial lift diagnostics, etc., and be coupled with fiber-optic sensing to empower real-time decision-making in complex subsurface systems—marking a transformative step in the digitalization of upstream operations.