Rock

Rock provides a powerful, intuitive workflow for interactive depth-dependent end-member lithology trend interpretation and stochastic forward modelling.

  • Interpret lithologies from well logs
  • Calculate end-member trends
  • Quantify variation in elastic properties
  • Stochastic forward modelling
  • AVA stack rotation modelling

Interpretation Made Easy

Rock makes light work of the process of picking end-member lithologies, with its easy point, click, and drag interface. View any number of well tracks to aid decision making, with instant updates to your crossplots, trends, and statistics.

As you pick, depth-dependent end-member trends are automatically calculated, which capture the inherent scatter in elastic rock properties.

Rapid QC

QC is easy, thanks to synchronised navigation between logs, crossplots, and tabulated pick data for multiple wells.

Does something look out-of-place? Select any point to view everything about that pick, then edit or delete it with a single click.

Forward Modelling

Finally, create any number of lithology / fluid combinations using mixing models and Gassmann fluid substitution.

Seismic amplitude and rock property forward modelling is performed stochastically (using a Monte Carlo simulation) to capture the expected range of responses for all candidate lithology / fluid combinations over the depth range of interest.

The end result is a set of multivariate probability density functions for each lithology-fluid combination, quantifying the inherent scatter in rock properties and range of seismic responses.

Understanding


Rock gives you the ability to correctly predict how rock properties and AVA change with depth, fluid content, and lithological variations.

Furthermore, you’ll see whether AVA or particular rock properties aid in the discrimination of different lithology / fluid combinations, allowing you to identify the best inversion strategy.

The entire workflow respects both the depth-dependence and inherent scatter of elastic rock properties, to give an appropriate level of confidence in the results.

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