A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns

This article presents a novel Stochastic Automata Networks (SAN) model to estimate the behavior of sediment strata formation in continental margins resulting from interaction between sea level, sediment input and subsidence over the last 130 million years. The model result is a set of probabilities that can be compared with geological facts and hypothesis; thus, we can point out possible discrepancies from other similar works and also improve the chance of a good estimation of past geological events.