Abstract：It is very difficult to predict thin inter-beds with its thickness of the 1/4 wavelength.This paper mainly discusses a method for predicting the cumulative thickness of thin inter-beds with time and frequency attributes.Based on a thin inter-bed wedge model and two stacked thin inter-bed models,the relationships between cumulative thickness and time-frequency attributes of thin inter-bed and the main factors that influence the relationship are determined.The following understandings are obtained based on the model tests:①The net-to-gross ratio,the number of thin beds,and the inter-bed mode affect the relationship between the peak amplitude and the gross thickness,the net-to-gross ratio has the largest influence,then the number of thin beds,and the inter-bed mode; ②The net-to-gross ratio controls the relationship between the peak amplitude (integral energy spectrum) and the gross thickness and the relationship between the peak frequency and the gross thickness,it also controls tuning thickness range; ③In the tuning thickness,the relationship between the peak amplitude and the gross thickness shows a single increasing linearity,and the relationship between the peak frequency and the gross thickness shows a single decreasing linearity; ④The integral energy spectrum and the net thickness are linear,and the integral limit can expand the tuning thickness range,which is beneficial to calculate the thin bed net thickness.In practice,we calculate a thin bed net thickness with the artificial intelligence based on the peak amplitude and peak frequency,and the results show that the proposed method is reasonable and reliable.
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Liu Lihui, Li Jianhai, Sun Yinpin, Hu Cheng. Thin inter-bed prediction with time and frequency attributes. Oil Geophysical Prospecting, 2017, 52(6): 1261-1268.
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