The traditional geophysical interpretation relies mainly on a priori information and certain experience of geologists. Thus, the result may be easily influenced by subjective factors and lack of quantitative evaluations, especially in the situation when there are several kinds of geophysical inversed results need conducting integrated interpretation simultaneously. By applying the fuzzy C-means clustering (FCM) and adding the a priori information into the geophysical interpretation process, we can effectively improve the objectivity and accuracy of interpretation. To get a better interpretation of inversion results, we add the a priori constraint information to the FCM method, using the guided FCM to cluster the multi-geophysical inversed results. Through model tests and statistical analysis of physical properties, it is proved that the guided FCM clustering has a better ability to characterize the distributions the layered medium than that without guided FCM. And the guided FCM clustering of multi-geophysical inversed results is better than the FCM clustering of single geophysical inversed result.

Note: This paper was accepted into the Technical Program but was not presented at the 2020 SEG Annual Meeting.

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