基于STA/LTA方法的微地震事件自动识别技术
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摘要
快速准确地从微震监测数据中提取微地震事件是微地震监测技术的关键。采用理论模拟数据分析了STA/LTA方法的可行性,选择了更能反映微地震信号变化的特征函数代替原始信号,结合实际数据对时窗长度、长短时窗比、阈值等重要参数进行了对比分析。研究结果表明,STA/LTA方法能够从海量微地震监测数据中快速准确地自动识别微地震有效信号,去除冗余信息,大幅减少微地震监测数据的传输量,从而为微地震监测数据的无线实时传输提供了可能,同时也减少了数据存储所需要的磁盘空间,取得了较好的应用效果。
How to quickly and accurately extract microseismic event from the microseismic monitoring data. It is the key issues of micro seismic monitoring technology. The paper presented detailed analysis of the feasibility of the STA/LTA method based on the simulation data, selected a long window length, the ratio of the long window length vs short window length, threshold and other important parameters. Then field data were used to validate the method, results show that the method can quickly and accurately and automatically identify microseismic event from a large number of microseismic monitoring data, and remove the redundant information, thus significantly reducing the amount of data transmission. It makes the ground wireless real-time transmission of microseismic monitoring data possible,and also reduces data storage disk space required,and the good application results were obtained.
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