Strategy for automated analysis of passive microseismic data based on S-transform, Otsu's thresholding, and higher order statistics
Strategy for automated analysis of passive microseismic data based on S-transform, Otsu's thresholding, and higher order statistics
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DOI：
10.1190/geo2011-0301.1
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发表时间：
2012-09
期刊：
影响因子：
3.3
通讯作者：
G. Tselentis;N. Martakis;P. Paraskevopoulos;A. Lois;E. Sokos
中科院分区：
文献类型：
--
作者：
G. Tselentis;N. Martakis;P. Paraskevopoulos;A. Lois;E. Sokos
小震级地震事件，无论是自然的还是诱发的微地震，已经越来越多地应用于勘探地震学，应用范围从油气和地热储层勘探到高分辨率被动地震层析成像测量。我们开发了一种自动化方法，用于处理和分析连续记录的单通道地震数据。该方法包括基于卡方统计检验的微震事件检测和基于Otsu阈值法的strtransform域去噪滤波。采用了基于高阶统计准则的自动p相位选择器。该方法应用于地面地震台站的数据。该方法的性能在高分辨率PST测量中使用的微地震网络的合成和真实数据上进行了测试和评估，结果显示出高度的一致性。
Small-magnitude seismic events, either natural or induced microearthquakes, have increasingly been used in exploration seismology with applications ranging from hydrocarbon and geothermal reservoir exploration to high-resolution passive seismic tomography surveys. We developed an automated methodology for processing and analyzing continuously recorded, single-channel seismic data. This method comprised a chi-squared-based statistical test for microseismic event detection and denoising filtering in the Stransform domain based on the Otsu thresholding method. An automatic P-phase picker based on higher order statistics criteria was used. The method was used with data from a surface seismic station. The performance of the method was tested and evaluated on synthetic and real data from a microseismic network used in a high-resolution PST survey and revealed a high level of consistency.