About the product
In the ever-evolving realm of reservoir characterization, obtaining precise qualitative and quantitative estimations of pressure and saturations is paramount. These estimations, presented as intricate maps and volumes, are pivotal for tracking subsurface fluid dynamics and the development of oil and gas reservoir models. However, traditional 4D inversion methods grapple with various challenges, including equipment and data disparities, uncertainties, analytical rock physics model complexities, and time shift issues.
Enter the innovative world of 4D inversion with WAVERITY. Our pioneering approach is based on the 4D modeling of seismic reflectivity data through real well log data (rock properties relationships, production changes, lithology transition statistics), reservoir simulation outcomes, and geophysical data. We harness the power of Deep Neural Networks to seamlessly bridge the gap between seismic data and changes in the dynamic properties. This methodology produces time-lapse difference volumes of reservoir fluid saturations and pressures for addressing fluid and pressure-related risks in reservoir management and new well delivery.
Key Benefits
- Dynamic Fluid Mapping: Accurately tracks pressure and saturation changes to monitor reservoir behavior.
- AI-Powered Precision: Leverages deep learning with real data to overcome limitations of traditional 4D methods.
- Risk Mitigation: Supports safer well planning and production decisions with detailed time-lapse analytics.
Applications
- Time-lapse fluid saturation and pressure analysis
- Enhanced reservoir simulation and forecasting
- New well planning and delivery
- Subsurface risk assessment and monitoring