Abnormal trace intelligent identification method based on first arrival information
An abnormal track and intelligent technology, applied in the field of oil and gas field exploration and development, can solve the problems of restricting the identification accuracy of abnormal track, abnormal amplitude or frequency, limited attribute information of abnormal track, etc., and achieve the effect of reducing the calculation workload
Active Publication Date: 2020-05-08
中石化石油工程技术服务有限公司 +1
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Problems solved by technology
Due to continuous amplitude or frequency anomalies, the recognition accuracy of the energy ratio method is reduced. Scholars at home and abroad have carried out a lot of research work, by calculating attribute information such as energy, main frequency, and correlation coefficient, and identifying abnormal channels based on comprehensive analysis results
However, due to the relatively single information in the one-dimensional time domain, the attribute information of abnormal traces that can be reflected is limited, which restricts the recognition accuracy of abnormal traces
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[0018] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.
[0019] like figure 1 as shown, figure 1 It is a flow chart of the intelligent identification method of abnormal track based on first arrival information of the present invention.
[0020] (1) Input the original acquisition single shot record, the single shot record is in SEGD or SEGY format, and input the shot point stake number, receiver point stake number, track number, sampling interval, sampling point number and total track number of the single shot record, etc. information;
[0021] (2) Using the modified S-domain transform method to convert the one-dimensional signal in the time domain into a two-dimensional signal in the time-frequency domain, the mathematical formula is: where y(t) is the original single-shot record, t is the time in ms, XS...
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The invention provides an abnormal trace intelligent identification method based on first arrival information. The method comprises the steps of: firstly inputting an originally collected single shotrecord, and converting a time domain one-dimensional signal into a time-frequency domain two-dimensional signal through a correction S-domain transformation method; secondly, performing first arrivalpickup by utilizing a two-dimensional domain energy ratio method, also outputting first arrival automatic pickup time information, and performing curve fitting on the first arrival time by adopting apolynomial fitting method to obtain a polynomial fitting formula of the first arrival information; thirdly, calculating identification parameters such as a first arrival distance, a first arrival distance variance, time window energy, a time window main frequency, a time window bandwidth, a time window spectral density and a time window signal-to-noise ratio; and finally, according to the identification parameters obtained through calculation, taking an abnormal trace meeting the abnormal trace identification conditions as the abnormal trace, outputting the pile number information, thus completing abnormal trace identification rapidly and intelligently. According to the abnormal trace intelligent identification method based on the first arrival information, rapid, efficient and intelligentidentification of the abnormal trace is realized, so that the working efficiency is greatly improved.
Description
technical field [0001] The invention relates to the technical field of exploration and development of oil and gas fields, in particular to an intelligent identification method for abnormal channels based on first arrival information. Background technique [0002] When collecting seismic records in the field, there are abnormal traces in the original seismic records due to the influence of complex near-surface, differences in excitation and receiving factors, and the stability of acquisition instruments. Abnormal props have the characteristics of no jump before the first arrival, abnormal amplitude, abnormal main frequency, abnormal variance and abnormal number of zero-crossing points. With the increasing application of high-density seismic exploration, the amount of seismic data is also increasing rapidly, and the manual identification method can no longer meet the needs. Conventional data quality monitoring systems also have some abnormal trace identification methods, whic...
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IPC IPC(8): G01V1/30
CPCG01V1/30G01V2210/41G01V2210/6161Y02D30/70
Inventor 冯玉苹徐维秀冯刚于富文杨晶刘斌徐钰
Owner 中石化石油工程技术服务有限公司