于多道包络能量叠加的微地震事件自动识别方法

地面监测的微地震数据主要包含两个部分:人工形成的射孔数据和压力诱发的微地震数据.从微地震监测理论出发,微地震事件准确识别直接影响微地震信号初至拾取的精度.针对常规微地震信号初至拾取方法存在漏检及误检的弊端,提出了多道包络能量叠加技术的微地震事件自动识别方法.针对存在射孔数据的情况,详细论述了多道包络能量叠加技术的微地震事件自动识别方法的过程,采用模拟数据证明了基于射孔信号的微地震事件自动识别方法的可靠性.其次,采用一系列微地震正演模拟数据进行大量实验,验证基于多道包络能量叠加技术的微地震事件自动识别方法的可靠性.最后,通过实际微震压裂数据验证了新方法的可行性与正确性.

Microseismic event automatic recognition method based on multi-traces envelope energy superposition technology

Microseismic monitoring data consists of two parts:synthetic perforation data and hydraulic fracturing induced microseismic data.According to the microseismic monitoring theory,it can be conclude that the accuracy of microseismic event recognition directly affects the first arrival picking accuracy of the subsequent microseismic signals.Aiming at the shortcomings of the conventional microseismic events first arrival time picking,an automatic recognition method of microseismic events based on multi-traces energy superposition technique is proposed.We introduced the process of microseismic event automatic recognition method based on multi-traces energy superposition technology when the perforation data exist.And we did a large number of experiments with simulated data.The simulation results proved the reliability of the microseismic event automatic recognition method based on the perforating signal.Then,a lot of experiments are carried out by using a series of microseismic forward modeling data to verify the reliability of the microseismic event automatic detection method based on the multi-traces energy superposition technique.Finally,the feasibility and correctness of the new method proposed in this paper are verified by microseismic fracturing data.