MINDDA and Stochastic Modeling of the Seismic Stratigraphy of a Mixed Carbonate-Siliciclastic System: High-Resolution Geophysics at the SCS ASIAEX Site.

摘要

Our research group is collecting and analyzing various levels of high-resolution seismic data, along with cores, for ground-truthing seismic facies on continental margins with a spectrum of depositional boundary conditions. The long-term goal of this work is to develop stochastic models of variation of geotechnical and seismic property distribution on margins subjected to a spectrum of depositional regimes. We are also assessing the quantity of data required to recognize the nature of stratigraphic architecture of a continental margin. We refer to this as Minimum Data Density Analysis (MINDDA). The importance of being able to produce these stochastic models is that it provides a means of making predictions (with assignment of statistical risk) of the variation of geotechnical and seismic properties in areas where the only data that may exist for that margin at the time that a prediction is needed is information on physical oceanography or other gross descriptions of depositional conditions on the margin. In the ECS we have a regional data set that we are using for this purpose and we have initiated MINDDA and it appears as though we have established MINDDA for a number of stratigraphic elements of the East China Sea continental margin. The data acquisition and analysis program in the ECS provides control and the background data set required for the 2001 ECS ASIAEX acoustics experiment that is geared toward improvement of understanding of bottom interaction and sound propagation in continental margin environments. As part of this project we were also supposed to conduct a study in the South China Sea (SCS) in 2000.