基于经验模态分解的测井曲线去噪分析与研究  

Analysis and Research on Logging Curve Denoising Based on Empirical Mode Decomposition

作　　者：成龙 Cheng Long

机构地区：[1]中国石油集团测井有限公司新疆分公司,新疆克拉玛依834000

出　　处：《化工设计通讯》2022年第8期16-18,共3页Chemical Engineering Design Communications

摘　　要：目前,我国石油和天然气的消耗量远大于产量,进口量和对外依存度持续递增,在一定程度上影响了国民经济发展。测井在油气勘探开发领域具有十分重要的作用,但是由于多种因素的影响,测井曲线中存在一定量的噪音,影响了后续测井资料解释的精度和有效性。基于此,在测井曲线去噪中引入经验模态分解,简要介绍了EMD和EMD去噪的基本原理,并结合实际工区的测井曲线,验证了该方法的有效性。At present,the consumption of oil and natural gas in China is far greater than the output,and the import volume and external dependence continue to increase,which has affected the development of the national economy to a certain extent.As we all know,logging plays a very important role in the field of oil and gas exploration and development.However,due to the influence of many factors,there is a certain amount of noise in the logging curve,which affects the accuracy and effectiveness of subsequent logging data interpretation.In this paper,empirical mode decomposition is introduced into logging curve denoising.Firstly,the basic principles of EMD and EMD denoising are briefly introduced,and then combined with the logging curves in the actual work area,the effectiveness of this method is verified.

关 键 词：EMD 石油 测井曲线 HHT 去噪 经验模态分解 

分 类 号：P631.84[天文地球—地质矿产勘探]