计算机与现代化

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改进的自适应小波阈值法及其在测井曲线去噪上的应用

  

  1. 1.东北石油大学电气信息工程学院,黑龙江大庆163318;2.大庆油田有限责任公司第九采油厂,黑龙江大庆163000
  • 收稿日期:2014-07-29 出版日期:2014-11-03 发布日期:2014-11-05
  • 作者简介:陈雪松(1972-),女(蒙古族),黑龙江肇州人,东北石油大学电气信息工程学院教授,博士,研究方向:信息隐藏,数字水印; 赵子豪(1989-),男,硕士研究生,研究方向:信息处理; 张卉雨(1989-),女,硕士研究生,研究方向:信息处理; 蔡宏凯(1982-),男,大庆油田有限责任公司第九采油厂工程师,学士,研究方向:石油工程。
  • 基金资助:
    黑龙江省教育厅科研项目(12521056)

Improved Adaptive Wavelet Threshold Method and Its Application in Well Logging Curves Denoising

  1. 1. Electrical & Information Engineering College, Northeast Petroleum University, Daqing 163318, China;

    2. The Ninth Oil Production Plant, Daqing Oil Field Co., Daqing 163000, China
  • Received:2014-07-29 Online:2014-11-03 Published:2014-11-05

摘要: 对测井曲线的各种去噪方法进行总结,根据小波阈值去噪法的优越性,提出一种改进的自适应小波阈值去噪法。选取Matlab工具箱里自带的曲线和测井曲线进行小波阈值去噪测试,改进的自适应小波阈值方法去噪方面表现优秀。新方法在滤除噪声的同时还能更好地保留信号的细节。

关键词: 测井曲线, 去噪, 改进的自适应小波阈值去噪法

Abstract: The purpose is mainly to denoise the logging curve. After summarizing various denoising methods, we propose an improved adaptive wavelet threshold denoising method according to the advantages of wavelet threshold denoising method, and select 〖JP2〗Matlab toolboxs curve and well logging curve to test wavelet threshold denoising. The improved adaptive wavelet threshold denosing method is of good performance. The novel method can not only filter out noise, but also reserve the details of the signal better.〖JP〗

Key words: well logging curve, denoising, improved adaptive wavelet threshold denoising method

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