Simulation of stratigraphic architecture from statistical and geometrical characterizations

摘要: Stratigraphic modeling based on physical and geologic principles has been improved by more sophisticated process models increased computer power. However, such efforts may reach a limit in their predictive power because of the stochastic, multiscaled nature processes involved. Building techniques from geostatistical literature, conditional simulation method, dubbed “SimStrat,” developed to improve predictions stratigraphic architecture limited data. No are invoked. Rather, prediction is solely geometric statistical principals. The method takes as input sonar bathymetry, seismically defined horizons, core-defined horizons. Each horizon characterized using spectral coherence for adjacent Predictions subsurface horizons where seafloor bathymetry conforms with underlying strata. Conditional simulations can then be generated that conform available data constraints characterization. Tests synthetic one two dimensions differing confirm reliability method.