Abnormal road identification method

Abstract

The invention provides an abnormal road identification method. The detailed process of the abnormal road identification method includes steps: receiving seismic data of a plurality of seismic channels generated through a single shot, wherein the seismic data is seismic amplitude at a preset sampling interval; extracting attributive character data of the seismic channels from the seismic data, and building an attributive characteristic matrix; obtaining the main direction of the attributive character matrix; calculating distances from vectors which respectively represent attributive characters of the seismic channels to the main direction in the attributive character matrix, and if one distance is larger than a set threshold value, considering the corresponding seismic channel is an abnormal channel. The abnormal road identification method has the advantages of starting from multiple characteristics of the seismic channels, being capable of identifying the abnormal channel well by studying the different attributive characters of the seismic data and performing fuzzy clustering analysis on the attributive characters, and achieving automation, precision and practicability for an abnormal channel identification technology.

Description

technical field [0001] The invention belongs to the field of petroleum exploration seismic data processing, in particular to a method for identifying abnormal traces. Background technique [0002] In the process of seismic acquisition, due to the influence of factors such as the complex surface, the development of interference waves, the diversity of excitation conditions, the difficulty in implementing combined reception, the poor combination effect, and the difficulty in optimizing the design of the observation system, many anomalous traces appear in the seismic records. Usually, abnormal channels mainly have the following characteristics: [0003] (1) No take-off before the first arrival: If a track has no take-off point before the first arrival, or the increment of the take-off time is quite different from the average increment of the take-off time of the gun, then the track can be judged as abnormal road. [0004] (2) Amplitude abnormality: Amplitude abnormality inclu...

AI Technical Summary

Problems solved by technology

[0010] Aiming at the shortcomings of the adjacent track energy comparison method for abnormal track identification such as continuous amplitude anomalies, main frequency anomalies, and missing tracks, the object of the present invention is to provide a method for identifying abnormal tracks based on fuzzy cluster analysis. Starting from multiple characteristics, by extracting the energy, dominant frequency, correlation coefficient and other attribute characteristics in the seismic data, and performing fuzzy cluster analysis on these attribute characteristics, the identification of abnormal traces is completed

Images