Simulation of Conditional Spatial Fields Using Random Mixing

A new method for simulating conditional spatial fields is presented which improves on linear geotatistics currently used in commercial petroleum software. It preserves the continuity of extreme high and low value regions and provides an assessment of uncertainty based on the dependence of the magnitude of adjacent values. Moreover, this method includes flexibility to handle a variety of conditioning constraints, including non-linear constraints, integral equalities and inequalities