摘要
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 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.
作者
龙云
陈静
陈祖斌
李彬
LONG Yun;CHEN Jing;CHEN Zu-bin;LI Bin(Key Laboratory of the Northern Qinghai-Tibet Plateau Geological Processes and Mineral Resources,Xining 810300,China;College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130026,China;College of Geology and Environment,Xi’an University of Science and Technology,Xi’an 710054,China)
出处
《地球物理学进展》
CSCD
北大核心
2020年第4期1424-1430,共7页
Progress in Geophysics
基金
青海省青藏高原北部地质过程与矿产资源重点实验室资助项目(2019-KY-03)
国家自然科学基金项目(41404097)联合资助。
关键词
微地震
事件识别
多道包络能量叠加
微地震事件自动识别
Microseismic
Event recognition
Energy superposition
Microseismic event automatic recognition
