Petrel Quantitative Interpretation enables true integration of multidisciplinary seismic with well and geological data. This ensures complete description of reservoir properties and extends conventional qualitative interpretation to a quantitative interpretation workflow in the same canvas. Petrel Quantitative Interpretation is a product development collaboration between Schlumberger and Ikon Science.
Without leaving the Petrel platform, Petrel Quantitative Interpretation provides seamless seismic data conditioning, rock physics, fluid substitution, AVO/AVA analysis, and pre- and poststack deterministic and stochastic inversion to predict lithology, pore fluid content, and seismic pore pressure modeling.
- Rock physics processes for estimating elastic parameters, such as acoustic impedance, Vp/Vs ratio, Poisson’s ratio, Young’s modulus, and a complete suite of fluid substitution tools based on Gassmann’s equation.
- Seismic pore pressure prediction workflow, including rock physics model for pore pressure calibration at well locations
- Easy to use wavelet equalization capabilities, correcting your seismic data to zero phase
- AVO modeling processes for the generation of synthetic gathers based on Zoeppritz and other industry standard algorithms, considering both isotropic and anisotropic models
- Seismic conditioning enabling seismic resampling and seismic trace alignment based on nonrigid matching
- Industry-leading colored, deterministic simultaneous stochastic inversion for prestack and poststack data
- Interactive extended elastic impedance (EEI) capabilities using multiple chi angles to produce EEI volumes at seismic scale
- Lithology classification workflow based on Bayesian estimation
- Robust 2D and 3D crossplotting tool for seismic and well data to identity and isolate anomalous hydrocarbon zones
- Intuitive 2D forward-modeling capabilities (wedge, anticline, dipping reservoir models and user-defined and seismic line methods) for generating a synthetic seismic response from rock properties
- Time-lapse analysis capabilities for 4D workflows based on reservoir elastic modeling (REM)