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图像熵各向异性扩散保边滤波方法及在断层识别中的应用
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  • 英文篇名:Anisotropic diffusion edge-preserved filter based on image entropy and application in fault identification
  • 作者:李军 ; 张军华 ; 刘杨 ; 杨勇 ; 杜玉山
  • 英文作者:LI Jun;ZHANG Junhua;LIU Yang;YANG Yong;DU Yushan;School of Geosciences,China University of Petroleum (East China);Research Institute of Exploration & Production,Shengli Oilfield Branch Co.,SINOPEC;
  • 关键词:保边去噪 ; 各向异性扩散 ; 结构张量 ; ; 连续性因子
  • 英文关键词:edge-preserved denoising;;anisotropic diffusion;;structure tensor;;entropy;;continuity factor
  • 中文刊名:SYDQ
  • 英文刊名:Oil Geophysical Prospecting
  • 机构:中国石油大学(华东)地球科学与技术学院;中国石化胜利油田分公司勘探开发研究院;
  • 出版日期:2019-04-15
  • 出版单位:石油地球物理勘探
  • 年:2019
  • 期:v.54
  • 基金:国家科技重大专项“复杂断块油田提高采收率技术”(2016ZX05011-002);“低渗—致密油藏开发储层裂缝及甜点地震预测新技术”(2017ZX05009-001)联合资助
  • 语种:中文;
  • 页:SYDQ201902015
  • 页数:7
  • CN:02
  • ISSN:13-1095/TE
  • 分类号:8+135-140
摘要
保护好断层等地质体边缘信息是地震去噪研究的重点,为此提出了一种基于熵的各向异性扩散保边去噪方法。由于熵信息只与资料总体结构有关,可用于准确判断资料所包含断层等特殊边缘的信息,能定量给出在构建结构张量矩阵时需要添加的二阶导数所占比例,更合理地判断扩散方向。模型及实际资料应用结果表明,该去噪方法在提高资料信噪比的同时,保护了断层等小尺度边缘信息,为后续的地震断层精细解释等提供了基础资料。
        Protecting the edge information of geological bodies such as faults is a key of seismic data denoising.In this paper,an anisotropic diffusion edge-preserved filter based on the image entropy method is proposed.Since the entropy information is only related to the overall structure of the data,it can be used to accurately determine special edges of geological bodies including faults.It can quantitatively give the proportion of the second derivative that needs to be added in constructing the structure tensor matrix to judge the diffusion direction more rationally.Model and real data applications show that the proposed method improves the signalnoise ratio and protects small scale edge information of faults,which provides a good foundation for subsequent fault identification on seismic data.
引文
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