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基于多t-x域联合的多震源地震数据混叠噪声分离方法

俞岱 黄德智 孙渊 杨文平

俞岱, 黄德智, 孙渊, 杨文平. 基于多t-x域联合的多震源地震数据混叠噪声分离方法[J]. 煤田地质与勘探, 2021, 49(5): 209-219. doi: 10.3969/j.issn.1001-1986.2021.05.023
引用本文: 俞岱, 黄德智, 孙渊, 杨文平. 基于多t-x域联合的多震源地震数据混叠噪声分离方法[J]. 煤田地质与勘探, 2021, 49(5): 209-219. doi: 10.3969/j.issn.1001-1986.2021.05.023
YU Dai, HUANG Dezhi, SUN Yuan, YANG Wenping. Blending interference noise separation method of simultaneous source seismic data based on multi-t-x domain combination[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(5): 209-219. doi: 10.3969/j.issn.1001-1986.2021.05.023
Citation: YU Dai, HUANG Dezhi, SUN Yuan, YANG Wenping. Blending interference noise separation method of simultaneous source seismic data based on multi-t-x domain combination[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(5): 209-219. doi: 10.3969/j.issn.1001-1986.2021.05.023

基于多t-x域联合的多震源地震数据混叠噪声分离方法

doi: 10.3969/j.issn.1001-1986.2021.05.023
基金项目: 

陕西省自然科学基金项目 2021-JQ-588

详细信息
    第一作者:

    俞岱,1986年生,男,陕西西安人,博士,从事井中地震资料处理和偏移成像研究工作. E-mail:tablemax47@126.com

  • 中图分类号: P631

Blending interference noise separation method of simultaneous source seismic data based on multi-t-x domain combination

  • 摘要: 随着多震源同时激发采集方法在地震油气勘探领域的应用逐年增加,许多学者对其关键技术多震源地震数据混叠噪声分离进行了研究,就目前为止,仍需开展保真度更高的方法研究。基于以下设想:对多震源地震数据做正常时差校正(NMO),可以加强反射信号的线性分布程度(尤其在共中心点CMP道集内),并扩大反射信号和混叠噪声的分布差异;单域分离混叠噪声,仅针对混叠噪声和反射信号的某一分布特性差异进行分离,多t-x域联合分离可综合利用各t-x域内混叠噪声和反射信号在各域内的分布差异,其分离效果更好。首先,通过对多震源数据CMP道集做NMO以强化反射信号的线性程度、扩大随机分布混叠噪声的离散程度,利用中值滤波分离大部分混叠噪声,再在其他t-x域内(如共炮点CSG道集、共检波点CRG道集和共偏移距COG道集等)根据残余混叠噪声分布特征利用随机噪声衰减等方法进一步分离,并在整个分离处理中使用保幅处理方法。提出的多t-x域联合分离混叠噪声方法,经理论数据验证,相较于单域分离方法可以有效且保真分离多震源数据中的混叠噪声,并对其他噪声和横波有一定的压制作用;实际数据应用效果表明,该方法比单域方法分离效果较好,叠后成像效果品质较高。多t-x域联合分离混叠噪声方法,能够稳定、可靠和保真地分离多震源地震数据中的混叠噪声。

     

  • 图  CMP道集反射波

    Fig. 1  Schematic diagram of CMP gather reflection wave

    图  多震源炮集NMO前后记录对比

    Fig. 2  Comparison of simultaneous source seismic shot gather records before and after NMO

    图  多t-x域联合分离方法流程

    Fig. 3  Separation method steps of the multi-t-x domain combination

    图  多震源地震数据合成

    Fig. 4  Schematic diagram of simultaneous source seismic data

    图  NMO前后随机分布混叠噪声在多震源地震数据不同道集分布

    Fig. 5  Distribution of randomly distributed blending interference noise before and after NMO in different gathers of simultaneous source seismic data

    图  2种道集混叠噪声分离效果对比

    Fig. 6  Comparison of blending interference noise separation effect between two gathers

    图  理论数据多t-x域联合分离混叠噪声

    (a) 理论合成多震源数据;(b) NMO后CMP道集去噪结果;(c) 对b抽CSG道集;(d) CSG道集进一步去噪结果;(e) 多t-x域联合分离结果

    Fig. 7  Separation of the theoretical data blending interference noise in multi-t-x domain combination

    图  理论数据多t-x域联合与单域分离混叠噪声效果对比

    Fig. 8  Comparison of the separation effect of the theoretical data blending interference noise between multi-t-x domain combination and single domain

    图  理论数据分离混叠噪声前后第120道波形对比

    Fig. 9  Comparison the 120th trace waveform before and after separating blending interference noise from theoretical data

    图  10  实际数据分离混叠噪声效果对比

    Fig. 10  Comparison of the effects of separating blending interference noise from actual data

    图  11  实际数据混叠噪声分离效果剖面对比

    Fig. 11  Seismic profile comparison of actual data blending interference noise separation effect

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出版历程
  • 收稿日期:  2021-05-31
  • 修回日期:  2021-08-06
  • 发布日期:  2021-10-25
  • 网络出版日期:  2021-11-06

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