Reservoir Modeling & Characterization

---

Building accurate 3D representations of subsurface structures from seismic and well data:

• Interpretation of horizons, faults, and discontinuities 
• Integration of VSP, surface seismic, and well data 
• Structure-oriented gridding and surface modeling 
• Handling of complex geometries, overthrusts, and faulted zones 
• Provides a foundation for reservoir modeling, volumetric estimation, and development planning
   

Conversion of interpreted structures into 3D reservoir models:

• 3D grid generation respecting structural and stratigraphic surfaces 
• Populating grid cells with petrophysical properties (porosity, permeability, saturation) 
• Incorporation of facies, zonation, and rock physics models 
• Supports flow simulation, volumetric calculations, and reservoir management
   

Quantitative assessment of reservoir storage capacity and hydrocarbon volumes:

• Gross and net pay determination 
• Integration of structural, petrophysical, and facies models 
• Hydrocarbon-in-place (OOIP/OGIP) calculations 
• Uncertainty analysis using multiple realizations 
• Supports field development planning and reserves reporting

Transforming seismic reflection data into quantitative rock property models:

• Post-stack and pre-stack acoustic and elastic impedance inversion 
• Sparse spike, model-based, and colored inversion techniques 
• Integration with multi-component seismic and well data 
• Supports lithology, porosity, and fluid prediction for reservoir characterization
   

Time-lapse seismic monitoring for reservoir management and production optimization:

• Detection of production-induced changes in reservoir properties 
• Calibration with dynamic reservoir models 
• Monitoring fluid movement, compaction, and pressure variations 
• Integration with well production and injection data
   

Construction of accurate 3D reservoir property models:

• Porosity, permeability, shale volume, and fluid saturation mapping 
• Multi-mineral and facies-based modeling 
• Integration of well logs, core, and seismic data 
• Provides input for inversion, flow simulation, and volumetric analysis
   

Stratigraphic framework analysis to understand depositional architecture:

• Identification of depositional sequences, systems tracts, and key surfaces 
• Integration with seismic horizons, well logs, and cores 
• Supports reservoir connectivity, facies prediction, and flow modeling 
• Enhances understanding of stratigraphic traps and reservoir heterogeneity
   

Quantitative spatial analysis of reservoir properties:

• Variogram analysis and spatial correlation modeling 
• Stochastic simulation and property interpolation 
• Multi-realization modeling for uncertainty quantification 
• Integration with seismic inversion and well data
   

Assessment of risk and variability in reservoir characterization:

• Monte Carlo and probabilistic analysis 
• Propagation of uncertainty from petrophysical, seismic, and facies models 
• Sensitivity analysis for key reservoir parameters 
• Provides confidence intervals for reserves, flow, and production forecasts
   

Integrated multi-realization modeling for informed decision-making:

• Generation of multiple plausible reservoir scenarios 
• Integration of structural, petrophysical, and dynamic models 
• Probabilistic hydrocarbon volume estimation 
• Risk-based evaluation for development planning and investment decisions