吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1969-1975.doi: 10.13229/j.cnki.jdxbgxb201706040

• 论文 • 上一篇    下一篇

微地震地面监测层状起伏速度模型校正算法

江海宇1, 刘玉海2, 孙海林2, 徐克彬2, 白田增2, 陈祖斌1   

  1. 1.吉林大学 仪器科学与电气工程学院,长春 130026;
    2.中国石油集团渤海钻探工程公司,天津300457
  • 收稿日期:2016-09-23 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 陈祖斌(1972-),男,教授.研究方向:地震信号处理.E-mail:czb@jlu.edu.cn
  • 作者简介:江海宇(1987-),男,博士,在站博士后.研究方向:油田压裂微地震监测.E-mail:jianghy12@mails.jlu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41074074); 吉林省科技发展计划项目(20160204065GX); 吉林省省校共建计划专项项目(SXGJSF2017-5)

Stratum undulation velocity model optimization algorithm for microseismic monitoring on surface

JIANG Hai-yu1, LIU Yu-hai2, SUN Hai-lin2, XU Ke-bin2, BAI Tian-zeng2, CHEN Zu-bin1   

  1. 1.College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China;
    2.Downhole Services Company BHDC, Tianjin 300457, China
  • Received:2016-09-23 Online:2017-11-20 Published:2017-11-20

RICH HTML

0   

PDF (PC)

231

摘要： 在监测工区范围内建立一个可用速度模型能够有效地提高微地震定位的可信度,本文针对微地震地面监测速度模型校正进行研究。目前已有的微地震地面监测速度模型校正方法仅对各层速度不确定性进行了分析,并没有考虑到各层界面位置不确定性,导致最终射孔定位结果仍存在一定误差。本文在振幅叠加微地震速度模型构建方法基础上,提出了通过扩大解空间的方法提高射孔重定位精度,即在极快速模拟退火方法过程中同时考虑各层速度不确定性和层界面位置不确定性。二维层状起伏地层模型实验表明:与现有方法相比,该方法能够准确将射孔事件重定位至其真实值处,并能有效提高射孔点附近微地震事件定位可信度。最后将该方法应用于实际野外数据处理,验证了该方法的有效性和实用性。

关键词: 固体地球物理学, 微地震地面监测速度模型校正, 速度不确定性, 层界面位置不确定性, 射孔重定位

Abstract: The existing method of velocity optimization for surface monitoring only considers the velocity uncertainty of each layer, which bring certain errors in the results of perforation shot relocation. A new method of expanding the solution space on the basis of amplitude stacking is proposed to improve the accuracy of perforation shot localization. In the process of every fast simulated annealing, the velocity uncertainty and location uncertainty of each layer are considered simultaneously. Synthetic data test shows that, compared with the existing method, the proposed method can accurately locate the perforating shot to its actual value, and can effectively improve the location reliability of microseismic events near the perforation. This new method is applied to actual field data processing, and its validity and practicability are verified.

Key words: solid geophysics, velocity model calibration for micro seismic monitoring on surface, velocity uncertainty, layer interface uncertainty, perforation shot relocation

中图分类号: 

  • P631
[1] 王晨龙,程玖兵,尹陈,等. 地面与井中观测条件下的微地震干涉逆时定位算法[J]. 地球物理学报,2013,56(9):3184-3196.
Wang Chen-long, Cheng Jiu-bing,Yin Chen, et al. Microseismic events location of surface and borehole observation with reverse-time focusing using interferometry technique[J]. Chinese J Geophys, 2013,56(9):3184-3196.
[2] 吕昊. 基于油田压裂微地震监测的震相识别与震源定位方法研究[D]. 长春:吉林大学地球探测科学与技术学院,2012.
Lyu Hao. Research on tne seismic phase identification and the source location based on oilfield fracture microseismic monitoring[D]. Changchun: College of Geo-Exploration Science and Technology, College of Jinlin University, 2012.
[3] 杨秀夫, 刘希圣, 陈勉,等. 国内外水力压裂技术现状及发展趋势[J]. 钻采工艺, 1998,21(4): 21-25.
Yang Xiu-fu, Liu Xi-sheng,Chen Mian, et al.Status quo of hydraulic fracturing technique and its developing trend at home and abroad[J]. DPT,1998,21(4):21-25.
[4] Warpinski N R, Sullivan R B, Uhl J E, et al. Improved microseismic fracture mapping using perforation timing measurements for velocity calibration[J]. SPE Journal, 2005,10(1):14-23.
[5] Usher P J, Angus D A, Verdon J P. Influence of velocity model and source frequency on microseismic waveforms: some implications for microseismic locations[J]. Geophysical Prospecting,2013,61(Sup.1):334-345.
[6] Anikiev D, Valenta J, Stan? F. Joint location and source mechanism inversion of microseismic events: benchmarking on seismicity induced by hydraulic fracturing[J]. Geophysical Journal International, 2014, 198(1):249-258.
[7] Pei D H, Quirein J A, Cornish B E, et al. A very fast simulated annealing (VFSA) approach for joint-objective optimization[J]. Geophysics, 2009,74(6):47-55.
[8] 谭玉阳, 何川, 张洪亮. 基于初至旅行时差的微地震速度模型反演[J]. 石油地球物理勘探,2015(1): 54-60.
Tan Yu-yang, He Chuan, Zhang Hong-liang. Microseismic velocity model inversion based on moveouts of first arrivals[J].OGP,2015,50(1):54-60.
[9] Pei D H, Quirein J A, Cornish B E, et al. Velocity calibration using microseismic hydraulic fracturing perforation and string shot data[C]//49th Annual Logging Symposium, 2008.
[10] Jiang H Y, Chen Z B, Zeng X X,et al. Velocity calibration for microseismic event location using surface data[J]. Petroleum Science,2016,13(2):225-236.
[11] 江海宇. 油田压裂微地震地面监测速度模型校正及定位研究[D]. 长春:吉林大学仪器科学与电器工程学院,2016.
Jiang Hai-yu. The research on microseismic location and velocity optimazation for microseismic monitoring on surface[D]. Changchun: College of Instrumention & Electrical Engineering, Jilin University,2016.
[12] 何文涛, 陈德勇, 王军波,等. MEMS宽带电化学地震检波器[J]. 光学精密工程, 2015, 23(2): 444-451.
He Wen-tao, Chen De-yong, Wang Jun-bo, et al. MEMS based broadband electrochemical seismometer[J].Optics and Precision Engineering, 2015, 23(2): 444-451.
[13] 李铭, 卢彦飞, 袁刚, 等. 应用先验插值校正CT金属伪影[J]. 液晶与显示, 2015, 30(6): 1032-1039.
Li Ming, Lu Yan-fei, Yuan Gang, et al. Metal artifact reduction in computed tomography based on prior interpolation[J].Chinese Journal of Liquid Crystals and Displays,2015, 30(6): 1032-1039.
[14] 丁卫, 沈高炜, 王驰, 等. 用于非金属地雷探测的声-地震耦合识别方法[J]. 光学精密工程, 2014, 22(5): 1331-1338.
Ding Wei, Shen Gao-wei, Wang Chi, et al. Acoustic-to-seismic coupling based discrimination for non-metallic mine detection[J]. Optics and Precision Engineering, 2014, 22(5): 1331-1338.
[15] 王军波, 龚黎明, 陈德勇,等. 平面电极型MEMS电化学地震传感器[J]. 光学精密工程, 2015, 23(3): 769-775.
Wang Jun-bo, Gong Li-ming, Chen De-yong,et al. MEMS based electrochemical seismic sensors with planar electrodes[J]. Optics and Precision Engineering, 2015, 23(3): 769-775.
[16] Tian Y, Chen X. A rapid and accurate two-point ray tracing method in horizontally layered media[J]. Acta Seismologica Sinica,2005,18:154-161.
[17] Jiang Hai-yu,Wang, Zhong-ren,Zeng Xiao-xian,et al. Velocity model optimization for surface microseismic monitoring via amplitude stacking[J]. Journal of Applied Geophysics,2016,135:317-327.
[1] 高明亮， 于生宝， 郑建波， 徐畅， 张堃， 栾卉. PSBP在高密度电阻率法二维反演中的应用[J]. 吉林大学学报(工学版), 2015, 45(6): 2026-2033.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发