Abnormal road identification method

An identification method and technology of abnormal channels, applied in the field of identifying abnormal channels, can solve the problems of abnormal main frequency, abnormal continuous amplitude, and low recognition accuracy, and achieve the effect of enhancing precision and accuracy and overcoming abnormal continuous amplitude

Inactive Publication Date: 2015-01-28
PETROCHINA CO LTD
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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 c

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] In view of this, the object of the present invention is to provide a method for identifying abnormal roads based on fuzzy cluster analysis, which can identify abnormal roads accurately and quickly.

[0044] Due to the strong correlation between seismic data, their main frequency, amplitude, variance, correlation coefficient and so on h...

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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...

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Application Information

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IPC IPC(8): G01V1/30G06F19/00
Inventor 王万里杨午阳高建虎魏新建何欣禄娟陈德武杨庆鄢高韩李琳李三家
Owner PETROCHINA CO LTD
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