Method for extracting depth domain seismic wavelet from depth domain seismic data

Abstract

A method for extracting depth domain seismic wavelet from depth domain seismic data by using a ridge regression method is realized in the invention. The method for extracting depth domain seismic wavelet from depth domain seismic data comprises the steps of (1) obtaining depth, speed and density information from the log data of a well, and calculating a corresponding reflection coefficient r, (2) extracting a well side seismic channel set s of the well from prestack depth migration seismic data, selecting a constant velocity vc as a standard speed, and carrying out the conversion of speed and depth parameters on the selected well side seismic channel set s such that the well side seismic channel set s is in accordance with a linear time invariant condition to obtain a transformed well side seismic channel set s', (3) mapping the reflection coefficient r to a transformed depth position to be r', and (4) selecting a suitable ridge parameter alpha, and using the ridge regression method to extract seismic wavelet. According to the method of the invention, the depth domain seismic data is directly used to extract the depth domain seismic wavelet, the precision of the extracted depth domain seismic wavelet is high, the mutual transformation from a time domain to a depth domain and from the depth domain to the time domain of the depth domain seismic data is not needed.

Description

technical field [0001] The invention relates to the field of petroleum seismic exploration data processing and interpretation, in particular to a method for extracting depth-domain seismic wavelets from depth-domain seismic data. Background technique [0002] Prestack depth migration technology has been successfully applied in actual seismic exploration, and prestack depth migration has a greater advantage in imaging quality than prestack time migration. In order to obtain depth from prestack depth migration To invert the elastic parameters of formations from seismic data in the deep domain, it is necessary to directly use the logging data in the depth domain and seismic wavelets in the depth domain to generate synthetic seismic records in the depth domain, and use the synthetic seismic records in the depth domain to calibrate the seismic data in the depth domain, so as to carry out reservoir prediction, etc. . The extraction of depth-domain seismic wavelets is a very criti...

AI Technical Summary

Problems solved by technology

The two types of methods have their own advantages and disadvantages. The advantage of the deterministic method is that it can extract more accurate wavelets without making any assumptions about the formation impulse response. The disadvantage is that it is greatly affected by the logging data; In the case of well logging data, wavelets can also be extracted by directly using the statistical properties of seismic trace signals. The disadvantage is that some statistical assumptions need to be made on the formation impulse response

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