地球物理学进展 ›› 2019, Vol. 34 ›› Issue (1): 125-135.doi: 10.6038/pg2019BB0420

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

基于分组互相关成像条件的微震逆时成像定位方法

李青峰1,张建中1,2,*()   

  1. 1. 中国海洋大学海洋地球科学学院,海底科学与探测技术教育部重点实验室,山东青岛 266100
    2. 青岛海洋科学与技术国家实验室,海洋矿产资源评价与探测技术功能实验室,山东青岛 266061
  • 收稿日期:2018-05-13 修回日期:2018-11-20 出版日期:2019-02-20 发布日期:2019-04-15
  • 通讯作者: 张建中 E-mail:zhangjz@ouc.edu.cn
  • 作者简介:李青峰,男,1993年生,硕士研究生,主要从事微地震资料处理、定位和成像研究.(E-mail: ouc_lqf@126.com)
  • 基金资助:
    山东省重点研发计划项目(2017GSF16103);高等学校博士学科点专项科研基金资助课题联合资助.(20130132110023)

Reverse-time image for microseismic localization using grouping crosscorrelation imaging condition

LI Qing-feng1,ZHANG Jian-zhong1,2,*()   

  1. 1. Key Lab of Submarine Geosciences and Prospecting Techniques, College of Marine Geosciences, Ocean University of China, Shandong Qingdao 266100, China
    2. Evaluation and Detection Technology Laboratory of Marine Mineral Resources, National Laboratory for Marine Science and Technology, Shandong Qingdao 266061, China
  • Received:2018-05-13 Revised:2018-11-20 Online:2019-02-20 Published:2019-04-15
  • Contact: Jian-zhong ZHANG E-mail:zhangjz@ouc.edu.cn

摘要:

地面微地震记录的信噪比常常很低,微地震走时拾取困难,难以利用基于微震走时的方法进行震源定位,微震逆时成像作为有潜力的地面微震定位方法而成为研究热点.微震逆时成像的效果和效率与所使用的成像条件密切相关.本文通过对不同信噪比微地震记录的逆时成像实验,在分析现有的自相关和互相关成像条件优缺点的基础上,提出分组互相关成像条件,讨论了分组方式对成像结果的影响.结果表明:分组互相关成像兼顾了自相关和互相关成像的优势,避免了它们的缺点.通过采用合适的分组方式,可以在满足计算效率要求的情况下,获得空间分辨率很高的震源成像结果.分组互相关成像对低信噪比资料具有很强的适应性,是一种很有前景的地面微震定位方法.

关键词: 微地震定位, 低信噪比资料, 逆时成像, 成像条件, 分组互相关

Abstract:

Surface microseismic data often has a very low Signal-to-Noise Ratio (SNR). It is difficult to pick up the traveltime of microseismic events from the surface microseismic data. Then the traveltime-based methods cannot be used to locate the source at this situation. So the microseismic reverse-time image as a potential method for surface microseismic location has been paid attention to. The accuracy and efficiency of microseismic reserve-time imaging are closely related to the imaging conditions. In this paper, we analyze the advantages and disadvantages of the existing autocorrelation and crosscorrelation imaging conditions through the numerical experiments on microseismic reverse-time imaging from data with different SNR, and then propose the grouping crosscorrelation imaging condition. We also discuss the influence of the grouping on the imaging. The results show that the grouping crosscorrelation imaging has the advantages of both autocorrelation and crosscorrelation imagings, and avoids their shortcomings. By using the appropriate receiver grouping, the grouping crosscorrelation imaging can image the source with high spatial resolution and appropriate computational time. It has a strong adaptability to low SNR data, and is a promising method for surface microseismic location.

Key words: Microseismic locating, Low SNR data, Reverse-time imaging, Imaging condition, Grouping crosscorrelation

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