基于K-L变换的微地震资料去噪的分析及应用  

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

作　　者：张旭亮[1] 桂志先[1] 王鹏[2] 毛庆辉[1] 曾隽[1] 

机构地区：[1]教育部油气资源与勘探技术重点实验室(长江大学),湖北武汉430000 [2]中国科学院地质与地球物理研究所,北京100029

出　　处：《工程地球物理学报》2013年第1期81-84,共4页Chinese Journal of Engineering Geophysics

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--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.

关 键 词：微地震 信噪比 K—L变换 去噪 

分 类 号：P631.4[天文地球—地质矿产勘探]