High-precision median stacking method on basis of cross-correlation

Abstract

The invention provides a high-precision median stacking method on the basis of cross-correlation. The method comprises the following steps: (1) stacking and filtering a trace gather subjected to dynamic correction treatment to obtain a model trace; (2) calculating a cross-correlation time difference of the model trace and one seismic trace of the current trace gather and correcting the time difference; (3) calculating a cross-correlation time difference of the model trace and a next seismic trace of the current gather and correcting the time difference until the time difference correction of all the seismic traces of the current gather is completed; (4) removing abnormal values in sampling points which take part in stacking, calculating an arithmetic mean value on the residual sampling points and removing the sampling point values of which symbols are opposite to those of the arithmetic mean value; (5) generating a weight of each sampling point which takes part in stacking in the residual sampling points; (6) unitizing the weight of each sampling point of the current gather, which takes part in stacking; (7) according to the unitized weights, completing the weighted stacking of each sampling point; and (8) repeatedly executing the steps (1) to (7) and carrying out weighted stacking of each sampling point of a next gather until the weighted stacking of each sampling point of all gathers is completed.

Description

technical field [0001] The invention relates to the field of oil and gas seismic exploration data acquisition, in particular to a high-precision median stacking method based on cross-correlation, which is mainly applied to field seismic data processing and interpretation of oil and gas seismic exploration. Background technique [0002] The study of stacking imaging methods in complex areas is a frontier research topic that has existed for a long time in the physical exploration of oil, earth and natural gas and has not yet been completely resolved. The current research has achieved many theoretical and practical results. Most of the current research focuses on the following two aspects: [0003] 1. Study how to obtain a more ideal motion correction gather [0004] In actual seismic data processing, the event of the same reflection point of the dynamic correction gather cannot be strictly leveled, and the leveling of the far offset gather is usually achieved by considering t...

AI Technical Summary

Problems solved by technology

These methods can only output superimposed data, and cannot take into account multiple aspects at the same time. Therefore, they usually have to make a trade-off, which will inevitably affect the accuracy of imaging.

Even if the above method adopts weighting processing, its weight calculation is very complicated and its application is inaccurate, and it does not consider that some seismic traces involved in the stacking should be eliminated, which will be more conducive to the stacking imaging of the section

[0008] Although the anisotropic dynamic correction and high-order dynamic correction methods have the advantages of high precision, they are not suitable for imaging complex structures. The existing stacking methods have single functions and are of little practical significance for complex areas.

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