Stochastic Simulations
Geostatistical simulations are used to simulate for each target point a set of probable values. The advantage of this technique is that the user will have access to non linear estimates as the probability to be over a given threshold under constraints.
The post processor provided in ISATIS calculates different types of such results (volumetrics, probability maps, risk curves...).
Each simulation technique in ISATIS can be described according to several criteria such as:
the characteristics of the resulting field
the model to which it corresponds
the algorithm that is used to generate it
the capability of honoring data (referred to as Conditional simulations).
From Isotropy...
- The Characteristics
a continuous function
a discrete function
a set (values 0 or 1)
- The Model
Multigaussian:
Truncated Gaussian
Dead Leaves
Fractal
Mosaic
Boolean
- The Algorithm
Turning Bands
L.U. decomposition
Sequential Gaussian
Truncated Gaussian
Plurigaussian
Object based
Sequential Indicator
Fractal
Boolean
Partition
Substitution
...to Anisotropy
![[Geovariances]](/layout/index_r1_c3.jpg)



![[Geostatistics]](/layout/geostat-efficient.gif)