RIG loads and quality controls well logs, velocity data, formation tops, and seismic volumes to establish a calibrated depth framework. Accurate well-ties and velocity modeling ensure that seismic interpretations and attributes are consistent across the reservoir. This depth-based foundation prevents error propagation and supports reliable property and productivity modeling.
Integrated Services
RIG integrates seismic, well, rock physics, and engineering data within a single calibrated framework to build physically consistent, depth-based reservoir models that reduce uncertainty and directly support drilling and development decisions.
Why Integration Matters
Traditional workflows separate seismic interpretation, petrophysical analysis, and engineering evaluation. RIG integrates these disciplines within a unified statistical and depth-calibrated framework, reducing disconnects between geologic models and production outcomes.
3D Reservoir Productivity Modeling
RIG combines pre- and post-stack seismic attributes with well and engineering data to model reservoir quality and productivity in 3D. Using a multivariate statistical workflow, we identify the attributes most predictive of performance and generate 3D volumes and maps that support high-grading and development planning.

Integrated Workflow Framework
Geology & Geophysics Data
Engineering Data
Deviation surveys, stage intervals, completion data, and production metrics are integrated to define productive zones and performance metrics. This engineering calibration ensures that subsurface models are grounded in measurable well outcomes.
Geoscience Integration
Seismic attributes are extracted along each wellbore and statistically correlated with log and production data. Multivariate analysis identifies the variables most predictive of reservoir quality and performance. The result is a repeatable, seismic-calibrated 3D modeling workflow that evolves with new wells and production history.
3D Reservoir Property Modeling
RIG applies a multivariate statistical framework to model petrophysical properties and lithology in 3D using seismic attributes extracted in depth along each well. By calibrating seismic responses directly to log-derived properties, we generate physically consistent reservoir property models that extend well control across the field and provide higher-resolution, depth-consistent detail suitable for volumetrics and static modeling.

