Impala

Impala is a fully parallelized algorithm for multiple point statistics simulation which is both fast and compact in terms of RAM requirement.

Current version (Impala 2.1) has the following features:

• Uses a hybrid tree-list method allowing to optimize the storage and retrieving of the statistics computed on the training image,
• Fully parallelized (under the OpenMP and MPI protocols),
• Proposes new methods for conditioning to existing hard data,
• Can handle incomplete training images, opening the way to image reconstruction,
• Offers a wide choice of simulation path strategies,
• Proposes an Automatic Template Reduction (ATR), to optimize the template size according to the multigrid levels,
• Embeds a novel algorithm to account for secondary attribute,
• Can account for non-stationarity, using a-priori expert information,
• Offers the possibility to respect local or global target proportions.

AVAILABILITY

Non-exclusive licences for the distribution Impala have already been granted to the following software houses:

• Baker Hughes (Jewelsuite)
• Geovariances (Isatis)
• Paradigm (SKUA-GOCAD)