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基于局部频率约束的动态匹配追踪强反射识别与分离方法
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  • 英文篇名:Strong reflection identification and separation based on the local-frequency-constrained dynamic matching pursuit
  • 作者:许璐 ; 吴笑荷 ; 张明振 ; 印兴耀 ; 宗兆云
  • 英文作者:XU Lu;WU Xiaohe;ZHANG Mingzhen;YIN Xingyao;ZONG Zhaoyun;School of Geosciences,China University of Petroleum (East China);Laboratory for Marine Mineral Resources,Qingdao National Laboratory for Marine Science and Technology;Geophysical Research Institute,Shengli Oil Field Branch Co.,SINOPEC;
  • 关键词:局部频率 ; 匹配追踪 ; 强反射 ; 瞬时频率 ; 动态字典原子库
  • 英文关键词:local frequency;;matching pursuit;;strong reflection;;instantaneous frequency;;dynamic atomic library
  • 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;海洋国家实验室海洋矿产资源评价与探测技术功能实验室;中国石油化工股份有限公司胜利油田分公司物探研究院;
  • 出版日期:2019-06-15
  • 出版单位:石油地球物理勘探
  • 年:2019
  • 期:v.54
  • 基金:国家自然科学基金项目“宽频地震多域联合AVO反演方法研究”(41604101);; 国家科技重大专项“古珠江三角洲沉积体边界识别及优质储层预测技术”(2016ZX05024-004)、“低渗—致密储层地震预测新方法和新技术”(2017ZX05009-001)、“页岩气储层微—纳米岩石物理机理及地球物理识别方法”(2017ZX05036-005)、“复杂碳酸盐岩储层识别机理及预测方法研究”(2017ZX05032-003)联合资助
  • 语种:中文;
  • 页:SYDQ201903011
  • 页数:9
  • CN:03
  • ISSN:13-1095/TE
  • 分类号:8-9+109-115
摘要
当目标储层上、下存在高阻层时,在地震剖面上形成的强反射会屏蔽目标储层有效反射信息。为此,提出了基于局部频率约束的动态匹配追踪强反射识别与分离方法。考虑到瞬时频率计算结果存在"负频率"现象,故引进局部频率计算模式用于约束动态匹配追踪算法最优原子的搜索范围,该算法计算结果合理,可以确定最佳匹配强反射的地震子波。利用强反射位置处的局部频率和瞬时相位作为先验信息,构建动态反射特征波形库,以此搜索最佳匹配强反射子波;通过单道测试确定强反射压制系数,以保证剥离强反射后的均衡能量与背景能量一致,有助于拾取目标储层的反射信息,最终实现储层的精细描述。通过构建含高阻层的模型数据验证了基于局部频率约束的动态匹配追踪强反射识别和分离方法的可行性,并将该方法应用于实际地震数据,削弱了强反射干扰影响,突显了弱反射信息。
        When there are high impedence layer above and below a reservoir,strong reflections will shield reservoir reflection information on seismic sections.Therefore,we propose in this paper a dynamic matching pursuit method based on local frequency constraints to identify and separate strong reflections.Considering the"negative frequency"phenomenon of instantaneous frequency,we introduce local frequency to constrain the search range of the optimal atom of the dynamic matching pursuit algorithm.The local frequency is reasonable for the signal calculation,which can be used to identify the seismic wavelet that matches best the strong reflection.Using the local frequency and instantaneous phase information at the strong reflection position as a priori information,a dynamic waveform library is constructed to search for the wavelet that matches best the strong reflection.The strong reflection suppression coefficient is determined by signal tests to ensure that the equilibrium energy is consistent with the background energy after stripping strong reflection.This is helpful for picking up the reflection information of reservoirs and achieving reservoir characterization.The feasibility of the proposed method is verified by constructing model data with high impedence layer.Finally,the proposed method is applied to field data,which weakens strong reflection interference and highlights weak reflection.
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