A new cooperative inversion strategy via fuzzy （一个新的合作通过模糊反演策略）.pdfVIP

Geophysical Research Abstracts Vol. 17, EGU2015-8405, 2015 EGU General Assembly 2015 © Author(s) 2015. CC Attribution 3.0 License. A new co-operative inversion strategy via fuzzy clustering technique applied to seismic and magnetotelluric data Duy Thong Kieu and Anton Kepic Department of Exploration Geophysics, Curtin University, Perth, Australia Geophysical inversion produces very useful images of earth parameters; however, inversion results usually suffer from inherent non-uniqueness: many subsurface models with different structures and parameters can explain the measurements. To reduce the ambiguity, extra information about the earth’s structure and physical properties is needed. This prior information can be extracted from geological principles, prior petrophysical information from well logs, and complementary information from other geophysical methods. Any technique used to constrain inversion should be able to integrate the prior information and to guide updating inversion process in terms of the geological model. In this research, we have adopted fuzzy c-means (FCM) clustering technique for this purpose. FCM is a clustering method that allows us to divide the model of physical parameters into a few clusters of representative values that also may relate to geological units based on the similarity of the geophysical properties. This exploits the fact that in many geological environments the earth is comprised of a few distinctive rock units with different physical properties. Therefore FCM can provide a platform to constrain geophysical inversion, and should tend to produce models that are geologically meaningful. FCM was incorporated in both separate and co-operative inversion processing of seismic and magnetotel- luric (MT) data with petrophysical constraints. Using petrophysical information through FCM assists the inversion to build a reliable earth model. In this algorithm, FCM pl