Assess uncertainty in reservoir properties and reduce risk, with our new interactive Stochastic Inversion module.

Stochastic Inversion is no longer a 'black box' process, instead, inversions can now be completed by asset teams, so those who understand the local geology and other controlling factors are at the helm of the process.

Its speed and interactivity mean that many parameters can be tested, allowing inversions to be adjusted to provide the best possible results.

A Stochastic Inversion property can be realised interactively on a user defined fence-line through the 3D model, thus speeding up the testing and optimisation of inversion parameters.

Generate high resolution impedance models and analyse them with the advanced and versatile multi-realisation post-processor functionality.

Interactive Stochastic Inversion - five realisations on a single fence

Single or multiple realisations of Stochastic Inversion 3D model properties can be created to enable views of stratigraphic slices and zone properties. Fences or volumes can be processed in a number of ways to extract the salient information.

A range of analyses are available for both fences and volumes and for single and dual properties.

Interactive Stochastic Inversion - multiple realisation analysis

The result; substantial savings in time and money as well as improved outcomes.

The Stochastic Inversion Workflow

Stochastic Inversion: multiple realisation analysis Reservoir zone NTG (by AI cutoff) at probability levels.

1. Define the Stochastic Inversion property, just as you would for any other rock property in RokDoc-ChronoSeis.
2. Test different scenarios and parameters by realising the property interactively on any number of user defined fences in the 3D model.
3. Generate multiple realisations on each fence. Using the interactive post-processor function, multiple realisations are analysed statistically.
4. Create single or multiple realisations of 3D impedance models.
5. Once parameters have been established, create multiple realisations and use the post-processor to perform uncertainty analysis. Output is in the form of a new property, a new trend map or a Cumulative Distribution Function (Cdf) graph.

Stochastic Inversion - 3D property realisation on a
stratigraphic slice. Realisations are stored as seismic volumes.

User specifies a seed point: a proposed well target.
Connectivity is defined by various criteria e.g. impedance > threshold value.