oa DelineatingThickness Distribution Based on Snesim Simulation

This Paper presents an approach in estimating sand distribution in a fluvial environment by using gradient of spectral decomposition as the soft constraint data. Training image used in the simulation is fluvial model with certain pattern and probability of sand and shale. As soft constraint, spectral decomposition is used to identify the thickness of sand within the area, and also to determine shale area. Then validators are used to analyze the reliability of MPS.