Fracwave

Led by Prof. Mohamed Y. Soliman, our mission is to pioneer upstream subsurface energy by advancing transformative technologies through three flagship projects: Wavelet Transform, Pulsed Power Plasma Stimulation (PPPS), and Enhanced Geothermal Systems (EGS).

We are proud to be the only research group working on the following projects:-

Wavelet Transform Applications for Upstream Operations

Mohamed Adel Gabry

The upstream oil and gas industry is awash with data, but much of its richness remains underutilized. Traditional workflows often rely on simplified assumptions that overlook nonlinear behaviors, shifting flow regimes, and complex interactions across scales. To bridge this gap, we are turning to the wavelet transform as a powerful, assumption-free tool that works directly on oilfield signals.

Why It Matters

Conventional physics-based models rest on restrictive assumptions that miss real-world complexity, while purely statistical approaches are limited by data coverage. What the industry needs is a generic solution—one that treats each oilfield operation as a dynamic system, transforming inputs like pressure or rate into outputs in real time.

Wavelet transforms are uniquely suited to capture the full complexity of oilfield signals. They can analyze any type of data-whether time, depth, or seismic-without oversimplification. In today’s digital oilfield, where drilling, fracturing, and monitoring generate torrents of signals, this capability is truly game-changing.

Path to Scale

The mission is clear: democratize access to diagnostics, empower on-site decision-making, and enable continuous improvement at scale. By standardizing workflows, automating analysis, and integrating machine learning, wavelet-based methods create a pathway from high-end diagnostics to everyday practice across all fracture treatments.

The roadmap is simple but transformative: Standardization → Automation → Integration → Scalability → Continuous Improvement.

Real-World Applications

Wavelet-based solutions are already being applied across the upstream lifecycle, including:

• Hydraulic fracturing diagnostics

• Diagnostic Fracture Injection Tests (DFIT) interpretation

• Water hammer analysis

• Stimulated Reservoir Volume (SRV) estimation

• Inter-well connectivity studies

• Drilling signal analysis

The Big Picture

By working directly on signals instead of assumptions, wavelet transforms open the door to more accurate, scalable, and adaptive diagnostics. The result: smarter operations, more resilient reservoirs, and a step toward a fully digital and data-driven oilfield.