地球物理学进展 ›› 2019, Vol. 34 ›› Issue (2): 702-708.doi: 10.6038/pg2019BB0551

• 应用地球物理学Ⅱ(海洋、工程、环境、仪器等) • 上一篇    下一篇

南海深水盆地改善中深层地震成像关键技术研究

邓盾1,2,裴健翔1,2,邓勇1,2,赫建伟1,2,李潇潇1,2,任婷1,2,彭海龙1,2,黎孝璋1,2   

  1. 1. 中海石油(中国)有限公司湛江分公司,广东湛江 524057
    2. 中海油海南能源有限公司,海口 570100
  • 收稿日期:2018-06-25 修回日期:2019-01-21 出版日期:2019-04-20 发布日期:2019-05-13
  • 作者简介:邓盾,男,1987年生,硕士,工程师,主要从事海洋地震资料处理及相关技术研究等工作.(E-mail:dengdun@cnooc.com.cn)
  • 基金资助:
    国家重大科技专项资助(2017ZX05026-005)

Key techniques research for improving mid-deep layer structure imaging in deep water seismic data of South China Sea

DENG Dun1,2,PEI Jian-xiang1,2,DENG Yong1,2,HE Jian-wei1,2,LI Xiao-xiao1,2,REN Ting1,2,PENG Hai-long1,2,LI Xiao-zhang1,2   

  1. 1. Zhanjiang Branch of CNOOC Limited, Guangdong Zhanjiang 524057, China
    2. CNOOC Hainan Energy Company Limited, Haikou 570100, China
  • Received:2018-06-25 Revised:2019-01-21 Online:2019-04-20 Published:2019-05-13

摘要:

南海深水区某盆地受复杂地质条件与崎岖海底等因素的影响,地震资料信噪比低,中深层成像差.经多次重处理后,盆地内大部分地区基底成像依旧不理想,严重制约了该区勘探研究工作的深入.有效恢复地震反射信号的能量和频率信息,提高叠前资料的信噪比是改善中深层成像的基础.针对该盆地中深层成像问题,研究了两项新技术:(1)基于自动寻优的鬼波压制技术;(2)基于高速倾角预测的seislet变换去噪技术——恢复了中深层低频信息,有效提高了中深层信噪比.实际地震资料应用效果表明:在目前常规深水资料处理流程中加入两项针对性的新技术后,该盆地地震资料中深层的成像质量得到了显著改善,特别是基底成像更加清晰、连续,为盆地区域研究与目标评价工作提供了可靠保障.

关键词: 深水, 崎岖海底, 中深层成像, 鬼波, seislet变换去噪

Abstract:

A basin in deep-water areas of South China Sea is a great exploration potential area. The complex geological structure and rough seafloor lead to low signal-to-noise ratio, weak reflection energy of effective wave and poor seismic imaging of mid-deep layers in result sections. Although the quality of seismic data is certainly improved after many reprocessing, further exploration research is still restricted by unclear imaging of the basement structure of the basin. As we know, the crux of improving the quality of mid-deep layer structure imaging is how to recover energy and frequency of effective wave, raise signal-to-noise ratio of gathers. So, in this paper, angling at the main problem of unclear structure imaging of mid-deep layers in the area, we chiefly develop two key techniques, including automatic optimizing de-ghost technique, and seislet transform de-noising technique based on dip prediction which recover the low frequency signal and increase effectively signal to noise ratio of mid-deep layers. Through integrated application of these two techniques basing on conventional processing flow of deepwater seismic data, mid-deep layer structure imaging in the final result section is improved significantly, which boosts the exploration research of the basin indeed.

Key words: Deepwater, Rough seafloor, Mid-deep layer structure imaging, Ghost, Seislet transform de-nosing

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