Method and device for automatically identifying abnormal seismic traces

Abstract

The embodiment of the invention provides a method and device for automatically identifying abnormal seismic traces. The method includes the steps that true values of seismic trace sampling points are obtained from collected single-explosion seismic records, and a maximum value threshold parameter value is set according to the true values of the seismic trace sampling points; absolute values of the true values of the seismic trace sampling points are obtained and compared with the maximum value threshold parameter value; when the absolute values of the true values of the seismic trace sampling points are larger than the maximum value threshold parameter value, the seismic traces where the sampling points are located are the maximum-value-type abnormal seismic traces. By means of the technical scheme, the accuracy for identifying the abnormal seismic traces can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a method and device for automatic identification of abnormal seismic traces. Background technique [0002] In the process of field seismic acquisition and exploration, it is inevitable to be affected by various external damages or equipment failures, such as the influence of external natural weather, the stability of seismic data acquisition instruments, the wrong connection of field geophones or poor embedding quality As well as unintentional damage and other impacts when people and animals walk around. These factors will bring disadvantages to the working state of the acquisition equipment, which will lead to abnormal performance of the data received by the geophone in the seismic record and reduce the quality of the seismic record. In order to ensure the quality of seismic records, it is necessary to detect and rectify various abnormal seismic traces in time. ...

AI Technical Summary

Problems solved by technology

If we continue to use manual quality control to check the abnormal seismic traces of the single-shot records collected on site, it will not only bring a heavy workload to the quality control personnel, but also cause a large number of omissions in quality control issues.

Therefore, this method can no longer meet the requirements of real-time quality control of abnormal seismic traces in large-scale data acquisition projects.

[0004] The current automatic noise channel identification method based on the standard average amplitude and the standard amplitude channel can identify the abnormal seismic channel of the maximum type, but the calculation efficiency of this method is difficult to meet the quality of the collected data required by some high-efficiency acquisition projects. control efficiency requirements; and when identifying the abnormal seismic traces of the maximum value type, some normal seismic traces will be misjudged as abnormal traces

Therefore, this method is mainly used as an auxiliary tool for indoor seismic data processing, and the identification accuracy of its anomaly traces cannot meet the quality control accuracy requirements for the collected data in the field.

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