基于K—L变换的微地震资料去噪的分析及应用

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。

The Analysis and Application of Micro-seismic Data Denoising Based on K-L Transform

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--permea- bility reservoir. There are big differences between micro--seismic signal and natural--seis- mic 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 sig- nals.