InterWell Seismic inversion and reservoir characterization

 InterWell provides a comprehensive set of geophysical workflows to solve challenges from regional exploration to reservoir development scale. Joint inversion allows quantifying acoustic and elastic rock properties from 2D and 3D data. Interwell proprietary simultaneous inversion also handles multi-component, multi-azimuth and time-lapse seismic surveys. Dedicated tools are available for prediction of lithologies and reservoir properties from inversion results.

• Matrix properties characterization (lithology, porosity & fluid) up to seismic constraint maps computation for constraining the geological model;

• Fault and fracture network detection and characterization;

• Assessing risk throughout reservoir property prediction;

• Understanding the field dynamic behavior;

• Inferring geomechanical parameters, including pore pressure, before drilling;

• Designing well trajectories and geosteering.

• Evaluating elastic rock properties and predicting lithology or fluid distributions - from seismic inversion results including impedance, density and associated seismic attributes ;

• Multi-variate statistical methods for prediction of lithology and key reservoir properties from inversion results;

• Quick-look analyses using fast-track AVO interpretation and full-seismic inversion.

• Seismic gathers conditioning : NMO correction and stacking;

• Seismic data registration and conditioning tools: statistical analysis, residual NMO misalignment correction, horizon edition and more;

• Multi-well wavelet estimation and multi-cube well calibration based on a hybrid deterministic and statistical procedure;

• Prior model from well log data and seismic velocities according to the stratigraphy;

• Post-stack seismic inversion, and simultaneous pre-stack inversion for evaluating elastic parameters via an optimization process taking into account the interpreted structure and stratigraphy, and also featuring a capability for modeling and attenuating inter-bed multiples;

• Azimuthal inversion for anisotropy and fracture assessment;

• Joint multi-component inversion for improved imaging from converted wave dataset;

• Time-lapse 4D joint seismic for monitoring and interpreting saturation and pressure changes in the reservoir.

• Post-stack and pre-stack geostatistical inversion that integrates high resolution well data with seismic data to provide a model with high vertical details;

• Characterization from geostatistical inversion results for associating uncertainties to reservoir properties.