一种基于纵横波互相关加权的微地震偏移定位方法

By employing a microseismic migration localization method that uses cross-correlation weighting of P-waves and S-waves, the problems of low signal-to-noise ratio and weak energy in microseismic monitoring have been solved, achieving higher accuracy and stronger noise resistance in microseismic event localization.

CN117572500BActive Publication Date: 2026-07-17YANGTZE UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANGTZE UNIVERSITY
Filing Date
2023-12-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing microseismic monitoring technologies, the low signal-to-noise ratio and weak energy of the monitoring data result in low first arrival picking accuracy, which affects the positioning accuracy of microseismic events. Existing migration positioning methods have low objective function focusing and weak noise resistance.

Method used

A microseismic migration location method based on P-wave and S-wave cross-correlation weighting was adopted. By roughly estimating the first arrival travel time, a corrected velocity model was constructed. The polarity correction method of cross-correlation analysis was applied, and the objective function was constructed by combining P-wave and S-wave cross-correlation weighting. The maximum value of the objective function was solved by the grid search method to determine the location of microseismic events.

Benefits of technology

It improved the location accuracy of microseismic events, enhanced the noise resistance of monitoring data, and significantly improved the accuracy and resolution of location.

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Abstract

本发明提供一种基于纵横波互相关加权的微地震偏移定位方法,通过采集微地震事件中的纵波或横波,粗略估计得到初至走时,通过校正后速度模型得到目标区域内纵横波理论初至时间表,应用基于互相关分析的极性修正方法得到极性修正后微地震数据,并将上述数据一并输入至基于纵横波互相关加权的目标函数中,最后对目标函数进行求解,得到目标函数SXC为最大值时对应的空间位置,该空间位置为微地震事件位置。本发明将目标函数中同型波互相关叠加与纵横波互相关叠加相结合,同时约束定位,大大提高了目标函数的聚焦性,增强了监测数据的抗噪能力,从而大大提高微地震事件定位的精度。
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