Abstract:In microseismic monitoring, effective events are irregular and static corrections are difficult. At the same time noise removal is also a difficult problem. We propose in this paper a noise suppression method with τ-p transform. We identify and extract microseismic events in the domain. Conventional transform has low resolution and low computation efficiency. Then we adopt high resolution transform. Finally we perform moveout corrections on effective events and transform constraint by adjacent effective events. Both model tests and real data processing show that the proposed method can effectively suppress microseismic monitoring data noise, especially linear noise, and improve surface microseismic event identification.
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