海洋地球物理学

南海南部礼乐海区二维地震资料的高分辨率处理方法

  • 郑红波 ,
  • 阎贫 ,
  • 王彦林
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  • 中国科学院边缘海地质重点实验室, 中国科学院南海海洋研究所, 广东 广州 510301
作者简介:郑红波(1981~), 男, 湖北省黄冈市人, 助理研究员, 现从事海洋地球物理与海洋地质研究。E-mail: hongbozheng@126.com

收稿日期: 2013-09-11

  修回日期: 2014-04-08

  网络出版日期: 2014-09-29

基金资助

国家自然科学青年科学基金项目(41106056); 中国科学院知识创新工程青年人才领域前沿项目(SQ201303)

High-resolution processing methods for multi-channel reflection seismic data of Lile sea area in the southern South China Sea

  • ZHENG Hong-bo ,
  • YAN Pin ,
  • WANG Yan-lin
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  • Key Laboratory of Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China

Received date: 2013-09-11

  Revised date: 2014-04-08

  Online published: 2014-09-29

摘要

南海南部礼乐海区以其丰富的油气资源储备成为我国油气勘探的后备区, 目前勘探程度低, 地震资料较少, 仅有少量的二维地震资料。由于该区地形复杂、水深变化范围大, 因此在地震数据中发育着多种类型的干扰波, 加之该批数据道数少、信噪比低, 上述因素都成为高分辨率处理的难点。针对该区地震数据的特征, 采用多种手段的真振幅恢复技术以及异常振幅压制等预处理方法; 采用串联反褶积提高了资料的分辨率; 根据多次波的类型分别采用τ-p域预测反褶积、速度滤波、内切除等组合方法压制多次波。从资料处理的效果来看, 使得浅、中、深层能量得到平衡, 多次波等各类干扰波得到了较好的压制, 资料的信噪比和分辨率都得到了提高, 最后得到了高分辨率的地震剖面。

本文引用格式

郑红波 , 阎贫 , 王彦林 . 南海南部礼乐海区二维地震资料的高分辨率处理方法[J]. 热带海洋学报, 2014 , 33(5) : 67 -73 . DOI: 10.11978/j.issn.1009-5470.2014.05.009

Abstract

Lile sea area of the southern South China Sea has become an important prospective area of oil and gas exploration because of its abundant resources. At present, the exploration level of Lile sea area is low, and there are only two-dimensional seismic data of a few survey lines. Due to complex terrains and large changes of water depth, multiform interferential waves can be commonly distinguished from these seismic data. Moreover, the trace number of shot gather is small, and the S/N ration of data is low. Above factors are of disadvantage to high-resolution processing of seismic data. According to the characteristics of seismic data in the area, various means have been used for true amplitude recovery and abnormal amplitude suppression in the pretreatment. Series deconvolution methods have been used to enhance the resolution of the seismic data; τ-p domain predictive deconvolution, velocity filtering and inner muting have been adopted for multiples suppression based on the types of multiples. From the result of processing, it can be found that the energy of shallow, middle and deep layers is proportioned. Interferential waves such as multiples have been well suppressed, and the S/N ratio and resolution of seismic data have been improved. High-resolution seismic stacked profiles have been achieved finally.

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