SIPPI

SIPPI: a Matlab toolbox for sampling the solution to inverse problems with complex prior information. SIPPI allow utilizing any combination of the following methods to describe a complex (or very simple) a priori model: 1D generalized Gaussian; FFT Moving Average (FFTMA); Sequential Gaussian simulation (SGSIM); Direct sequential simulation (DSSIM); Sequential indicator simulation (SISIM); Multiple point based simulation (SNESIM).

Keywords for this software

multiple-point statistics
probabilistic inverse problem
training image
metropolis algorithm
cross-borehole tomography
frequency matching
simulation
collocation
sequential simulation
entropy
covariance parameters
linear inversion
Kriging
Markov model

References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.

Sorted by year (citations)

Hansen, Thomas Mejer: Entropy and information content of geostatistical models (2021)
Mejer Hansen, Thomas; Skou Cordua, Knud; Mosegaard, Klaus: A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support (2015)
Skou Cordua, Knud; Mejer Hansen, Thomas; Mosegaard, Klaus: Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (2015)