地球物理学进展 ›› 2018, Vol. 33 ›› Issue (6): 2522-2527.doi: 10.6038/pg2018BB0498

• 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

地面微地震资料噪声压制方法

张晟瑞1,任朝发2,李星缘1,王维红1,王贵友3   

  1. 1. 东北石油大学地球科学学院,黑龙江大庆 163318
    2. 大庆油田勘探开发研究院,黑龙江大庆 163712
    3. 大庆油田有限责任公司第十采油厂,黑龙江大庆 163315
  • 收稿日期:2018-04-06 修回日期:2018-10-09 出版日期:2018-12-20 发布日期:2019-03-03
  • 作者简介:张晟瑞,男,1993年生,在读硕士研究生,现从事水力压裂微地震正演模拟分析及应用研究.(E-mail: zhangshengrui93@163.com)
  • 基金资助:
    国家自然科学基金项目(41574117);国家自然科学基金项目(41474118);黑龙江省杰出青年科学基金项目(JC2016006);东北石油大学优秀科研人才培育基金(GLJHB201601);东北石油大学研究生培养创新实践基地创新科研项目(YJSJD2017-001NEPU)

Denoising method of surface microseismic data

ZHANG Sheng-rui1,REN Chao-fa2,LI Xing-yuan1,WANG Wei-hong1,WANG Gui-you3   

  1. 1. College of Earth Science, Northeast Petroleum University,Heilongjiang Daqing 163318, China
    2. Research Institute of Exploration and Development of Daqing Oilfield Corporation Limited, Heilongjiang Daqing 163712, China
    3. No.10 Oil Production Plant of Daqing Oilfield Company Limited, Heilongjiang Daqing 163315, China
  • Received:2018-04-06 Revised:2018-10-09 Online:2018-12-20 Published:2019-03-03

摘要:

随着非常规油气藏的开发,微地震监测技术应用越来越广泛.其中,地面微地震监测技术具有成本低、不受监测井条件影响、覆盖范围大、监测站点布置灵活等特点.但相较于井中微地震监测,其接收到的信号受环境噪声及周边地表条件影响较大,而地面微地震资料的好坏又直接影响着后续的微震事件定位及解释工作,因此提高地面微地震信噪比尤为重要.地面微地震监测接收到的信号存在较多的单频干扰、异常振幅等噪声,本文有针对性的提出了单频噪声压制、分频异常振幅衰减以及随机噪声压制联合去噪方法.利用该方法对地面微地震正演模拟数据与松辽盆地地区实际地面微地震监测资料进行噪声压制,进一步验证本文提出的联合噪声压制方法的可行性.

关键词: 水力压裂, 地面微地震, 信噪比, 噪声压制

Abstract:

With the development of unconventional oil and gas reservoirs, the application of microseismic monitoring is more and more extensive. In the microseismic monitoring method, surface microseismic monitoring technology which has the characteristics of low cost, large coverage and flexible arrangement of monitoring stations is not affected by the condition of monitoring wells. Compared with borehole microseismic monitoring, the received signal with surface microseismic monitoring is affected by environmental noise and surrounding surface conditions, and the quality of surface microseismic data directly affect the location and interpretation of microseismic event. So, improving the signal to noise ratio of surface microseismic data is particularly important. In this paper, aiming at noise such as single frequency interference, random amplitude and abnormal amplitude in surface microseismic data, we propose a combined noise suppression method, which includes single frequency noise suppression, random amplitude attenuation, and dividing abnormal amplitude attenuation. We denoise the surface microseismic modeled data and the actual data of the Songliao basin area, which further verifies the feasibility of the combined noise suppression method proposed in this paper.

Key words: hydraulic fracturing, surface microseismic, signal to noise ratio, noise suppression

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