吉林大学学报(信息科学版) ›› 2018, Vol. 36 ›› Issue (1): 55-61.

• 论文 • 上一篇    下一篇

微地震监测技术综述

邵晓光 a,b , 董宏丽 a,b , 代丽艳 a,b   

  1. 东北石油大学 a. 复杂系统与先进控制研究院; b. 黑龙江省网络化与智能控制重点实验室, 黑龙江 大庆 163318
  • 收稿日期:2017-09-19 出版日期:2018-01-25 发布日期:2018-03-14
  • 作者简介: 邵晓光(1989— ), 男, 山东临沂人, 东北石油大学硕士研究生, 主要从事神经网络和深度学习研究, (Tel) 86-13125941788(E-mail)shao_xiao_guang@163. com; 董宏丽(1977— ), 女, 黑龙江克山人, 东北石油大学教授, 博士生导师, 主要从事随机滤波与控制理论及应用研究, (Tel) 86-459-6503373(E-mail)shiningdhl@ vip.126. com。
  • 基金资助:
    黑龙江省教育厅科学技术研究基金资助项目(12541061)

Review of Microseismic Monitoring Technology

SHAO Xiaoguang a,b , DONG Hongli a,b , DAI Liyan a,b   

  1. a. Institute of Complex Systems and Advanced Control;
     b. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China
  • Received:2017-09-19 Online:2018-01-25 Published:2018-03-14

摘要: 微地震监测技术作为一种先进的地球物理方法, 广泛应用于地热勘探、 油气田开发等多个领域, 具有广
阔的发展前景。 首先介绍了微地震形成机理及其特征和微地震监测技术的基本概念, 进而简述了微地震监测
方法的基本原理以及数据采集、 数据处理等主要技术。 去噪为数据处理的首要任务, 因而论述了一些基本的降
噪方法, 提出深度学习在微地震监测技术中的可行性以及优越性。 最后, 对监测技术的扩展应用以及发展前景
进行了总结。

关键词: 油气田开发, 深度学习, 微地震监测

Abstract:  As an advanced geophysical method, microseismic monitoring technology which has a good prospect is
widely used in many fields, such as geothermal exploration, oil and gas development. The formation mechanism
and characteristics of microseismic and the basic concepts of microseismic monitoring technology are introduced.
The basic principle of microseismic monitoring method, data processing and other main processes are described
briefly. Denoising is the primary task of data processing. Some basic methods of noise reduction are pointed out,
and the feasibility and superiority of applying deep learning in microseismic monitoring are proposed. Finally,
the applications and development prospects of microseismic monitoring technology are summarized.

Key words: oilfield development,  microseismic monitoring, deep learning

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