摘要
地面微地震监测相对井中微地震监测具有更大的难度,主要表现为信号弱、噪音强、速度建模困难等,而实际应用中缺少有效的处理技术,制约着地面微地震技术的发展。根据实际地面微地震监测数据的分析,针对性地提出了地表有源噪音自动识别压制、井震联合速度建模及优化、全波形能量叠加定位等一系列的针对性处理技术,通过提高地面微地震信号的信噪比、有效事件识别准确率及速度模型精度保证了定位结果精度和可靠性,并通过实际资料的处理进行了验证。
Surface microseismic monitoring is more difficult than borehole microseismic monitoring, which has the characters of weak signal, strong noise and difficult velocity model building, however, in practical application, the lack of effective processing techniques restrict the development of surface microseismic technique. According to the analysis of monitoring data, this paper pointedly proposed some individualized processing techniques, such as automatic recognition and suppression of surface active noise, velocity modeling and optimized well-to-seismic integration data, location with full waveform energy superposition. Those techniques ensure the accuracy and reliability of the location results through improving the signal to noise ratio of the surface micro- seismic data, the accurate rate of the effective event recognition and the accuracy of the velocity model. The results are proved by real monitoring data processing.
出处
《油气藏评价与开发》
CSCD
2017年第1期7-13,共7页
Petroleum Reservoir Evaluation and Development
基金
国家高技术研究发展计划(863)课题"陆上非一致性时延地震
微地震油藏监测方法研究"(2011AA060303)
关键词
水力压裂
地面微地震监测
处理技术
hydraulic fracturing, surface microseismic monitoring, processing technique
