Sequential Conditional Simulation Using Classification of Local Training Patterns

Local spatial structures, as depicted by a training image, can be summarized by a few general linear filter scores. Local training patterns are then classified according to these scores. Sequential simulation proceeds by associating each conditioning multiple-point data event with a score class and then patching a pattern from this class onto the simulation grid. This procedure can handle both binary and continuous variable training images as illustrated by several diverse training images.