Join the SPE webinar on this topic. Zoom Registration Link - https://zoom.us/webinar/register/WN_w6JK_89IT9KHCyaBPF7mUA
Dec 11, 2025 09:00 AM Central Time (US and Canada)
Wavelet Transform Technology (WWT) for Upstream Operations Digitalization
WWT 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 WWT 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 WWT 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 WWT 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.
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Original Message:
Sent: 07-11-2025 12:56 AM
From: Mohamed Gabry
Subject: Wavelet Transform for Upstream Operations – New Diagnostic Frontier
Dear Colleagues,
We are excited to share our latest developments on the use of Continuous Wavelet Transform (CWT) in upstream operations. After more than two decades of research, our team at the Fracwave Research Group has developed a suite of diagnostic tools that leverage signal decomposition to provide deeper insight into subsurface behavior.
🔍 What's new?
Instead of treating oilfield data as static snapshots, we analyze them as dynamic time-frequency signals. Our wavelet-based framework enables:
✅ Real-time detection of fracture complexity during hydraulic fracturing
✅ Pressure/rate signal analysis in DFITs and well tests
✅ Connectivity mapping in waterfloods and multi-well systems
✅ Reservoir characterization in geothermal, CCUS, and unconventional formations
📽️ Explore our interactive presentation with animations:
👉
https://docs.google.com/presentation/d/1hbLOyABMkNK5YgwrZ9SLwfILMLD-NRUC/edit?usp=drive_link&ouid=116917438094373961300&rtpof=true&sd=true
💬 We're seeking your input:
- Are you currently applying advanced signal processing in your operations?
- What limitations do you face when diagnosing fracture growth or reservoir response?
- What kind of field data or KPIs would you want to evaluate wavelet-based tools?
We are actively looking to collaborate with operators and service providers to test and deploy these methods in live field environments.
📞 Interested in organizing a technical session or a pilot study discussion?
Let's connect.
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📩 Reply below, message us directly, or share with your technical teams.
🧪 Fracwave Research Group – University of Houston
Prof. Mohamed Y. Soliman
Petroleum Engineering Department
University of Houston
Office: 713-743-8640
msoliman@Central.UH.EDU
Mohamed Adel Gabry
magabry@cougarnet.uh.edu
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Mohamed Adel Gabry
Post-doctoral fellow
University of Houston
magabry@cougarnet.uh.edu
mohamedadelgabry2023@gmail.com
+1-346-622-3664
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