Research Focus
From Analysis to Action: Core Research Areas in 4D Seismic Reservoir Monitoring
4D Seismic Inversion
Transforming seismic analysis into actionable reservoir insights through the development of inversion workflows to estimate acoustic impedance and elastic parameters from 4D seismic data, enhancing interpretation and enabling quantitative integration with reservoir simulation models.
4D Seismic Forward Modeling
Feasibility studies and forward modeling of 4D seismic signals to enhance quantitative
integration with reservoir simulation models.
Data Assimilation and Closed-Loop Reservoir Management
Turning integrated data into operational action through joint history matching of production and 4D seismic data using ensemble-based methods (e.g., ES-MDA, ES), reducing uncertainty in reservoir properties and enabling more reliable production forecasts.
Uncertainty Reduction in 4D Seismic Interpretation
Advancing from interpretation to informed decisions through stepwise and multi-attribute workflows integrating 3D and 4D seismic attributes with engineering data.
Machine Learning for Seismic Reservoir Monitoring
Getting the most from 4D seismic data by accelerating the path from data to decisions through AI-driven frameworks that estimate saturation and pressure changes directly from seismic attributes, enabling faster interpretation and supporting reservoir surveillance and infill well planning.
Applications in Offshore Brazilian Reservoirs
Demonstrating analysis-to-action impact through extensive field studies in deep-water heavy-oil turbidite systems and pre-salt carbonate reservoirs, showcasing the value of 4D seismic for reservoir management in complex geological settings.