基于K-L变换的微地震资料去噪的分析及应用
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摘要
在我国油田开发的中后期,由于大量未动用的油气储量大部分集中在低渗透储层中,压裂是改造低渗透储层的有效手段。利用微地震监测技术可对压裂过程和压裂效果进行监控和评价。虽然微地震信号与天然地震信号具有很大的类似,但由于实际收到的微地震信号,尤其是微地震监测资料信噪比是相当低的。在微地震监测过程中,去除微地震信号的随机噪音和相干噪音以提高微地震信号的信噪比,是一项非常关键的处理步骤。本文将利用K-L变换从多道微地震记录中提取微地震信号,去除随机噪音和相干噪音。
In the later period of petroleum development,due to a large number of unused oil and gas being reserved in low-permeability reservoirs,the technology of micro-seismic fracture monitoring becomes an important method in the fracturing reform of low-permeability reservoir.There are big differences between micro-seismic signal and natural-seismic signal.The signal-noise ratio(SNR) of micro-seismic monitoring materials being collected in practice situation is very small.Thereby,during the process of micro-seismic monitoring,it is a key step to remove the random noise and coherent noise,thus to improve the SNR of seismic signals.In this paper,we use K-L transform to remove random noise and coherent noise for extracting coherent signals from multi-channel micro-seismic signals.
引文
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