This method can be used to model both 2D and 3D seismic data that has been acquired over the area of the geological model.

In other applications, such as modelling heavy-tailed data, a t or F distribution may be used as an empirical model.

By decoupling the data storage from the multi-dimensional model, it is possible to successfully model data that would not otherwise fit into a strict dimensional model.

A data modeling technique is used to model data in a standard, consistent and predictable manner in order to manage it as a resource.

Other distributions used to model skewed data include the gamma, lognormal, and Weibull distributions, but these do not include the normal distributions as special cases.

The exponential scaling of the step lengths gives Lévy flights a scale invariant property, and they are used to model data that exhibits clustering.

Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource.

Firstly, by abandoning the notion that only historians can model and manage data in a way which facilitates their particular data processing aims.

The application should use a classification algorithm that is robust to outliers to model data with naturally occurring outlier points.

The Ricker Wavelet is frequently employed to model seismic data, and as a broad spectrum source term in computational electrodynamics.