微地震监测技术及应用

地震 ›› 2013, Vol. 33 ›› Issue (4): 84-96.

微地震监测技术及应用

金维浚¹, 张衡^1,2, 张文辉^1,2, 段心标³, 刘伟^1,2

1.中国科学院地质与地球物理研究所, 北京 100029;
2.中国科学院大学, 北京 100049;
3.中国石化石油物探技术研究院, 江苏南京 211103

收稿日期:2013-01-11 修回日期:2013-04-23 发布日期:2020-09-27
作者简介:金维浚(1963-), 男, 江西高安人, 副研究员, 主要从事勘探地球物理研究。
基金资助:
国家自然科学基金重点项目(40830424)和湖北省交通厅科研项目

Technology and Application of Micro-seismic Monitoring

JIN Wei-jun¹, ZHANG Heng^1,2, ZHANG Wen-hui^1,2, DUAN Xin-biao³, LIU Wei^1,2

1. Institute of Geology &Geophysics, CAS, Beijing 100029, China;
2. University of Chinese Academy of Sciences, Beijing 100039, China;
3. Geophysical Research Institute, SINOPEC, Nanjing 211103, China

Received:2013-01-11 Revised:2013-04-23 Published:2020-09-27

摘要/Abstract

摘要： 微地震监测技术涉及近震分析的定位和地壳结构成像, 微地震监测各种定位方法要构造不同目标函数, 地震定位问题的实质是求目标函数的极小值。全局定位邻近算法(NA)具有不依赖于模型初始值选择, 不会收敛于局部极小值, 比传统线性近似方法有更高的精度和可靠性。通过地震数据的震相分析, 走时拾取反演可以获得地震影响区的地震波速度结构, 目前已广泛应用于油、气田勘探开发, 以及页岩气开发中; 矿山开采中矿震、岩爆, 煤与瓦斯突出, 承压水突水预测; 水利工程建设坝址、边坡稳定性和天然滑坡监测等多个领域。

关键词: 微地震监测, 地震定位, NA算法, 监测技术

Abstract: micro-seismic monitoring involves the location of micro earthquakes and tomography of crust structures. Various location methods of micro-seismic monitoring are required to construct objective function, the essence of the location problem is seeking the minimum of the objective function. The global location method, such as neighborhood algorithm (NA) does not depend on the initial value of the model and will not converge to local minima, therefore of higher accuracy and reliability than the traditional linear approximation. Velocity structure around earthquake regions can been obtained from inversion of phase analysis and travel time picks of seismic data. Smaller-scale micro-seismic monitoring has been widely used in oil and gas field exploration, shale gas development. It has also been used in rock boost, coal and gas outburst related with the mine, water inrush forecast, and dam site, slope stability of water power station, natural landslide monitoring.

Key words: Micro-seismic monitoring, Earthquake location, Neighborhood algorithm

中图分类号:

P315.7

金维浚, 张衡, 张文辉, 段心标, 刘伟. 微地震监测技术及应用[J]. 地震, 2013, 33(4): 84-96.

JIN Wei-jun, ZHANG Heng, ZHANG Wen-hui, DUAN Xin-biao, LIU Wei. Technology and Application of Micro-seismic Monitoring[J]. EARTHQUAKE, 2013, 33(4): 84-96.

参考文献

[1] 中国科学院地球物理研究所编著.近震分析[M]. 北京: 地震出版社, 1977. 1-34.
[2] 马宏生, 张国民, 周龙泉, 等. 川滇地区中小震重新定位与速度结构的联合反演研究[J]. 地震, 2008, 28(2): 10-21.
[3] 姜福兴, 杨淑华, 成云海, 等. 煤矿冲击地压的微地震监测研究[J]. 地球物理学报, 2006 , 49(5): 1511-1516.
[4] 姜福兴, 王存文, 杨淑华, 等. 冲击地压及煤与瓦斯突出和透水的微震监测技术[J]. 煤炭科学技术, 2007, 35(1): 26-29.
[5] 罗蓉, 李青. 页岩气测井评价及地震预测、监测技术探讨[J]. 地质勘探, 2011, 31(4): 1-6.
[6] Ulrich Zimmer. Microseismic design studies[J]. GEOPHYSICS, 2011, 76(6): WC17-WC25.
[7] Thomas Spillmann, Hansruedi Maurer, Alan G Green, et al. Microseismic investigation of an unstable mountain slope in the Swiss Alps[J]. Journal of Geophysical Research, 2007, 112: B07301-7326.
[8] Xu N W, Tang C A, Li L C, et al. Yang Microseismic monitoring and stability analysis of the left bank slope in Jinping first stage hydropower station in southwestern China[J]. International Journal of Rock Mechanics & Mining Sciences, 2011, 48: 950-963 .
[9] 成云海, 姜福兴, 程久龙, 等. 关键层运动诱发矿震的微震探测初步研究[J]. 煤炭学报, 2006, 31(3): 273-278.
[10] 李庶林. 试论微震监测技术在地下工程中的应用[J]. 地下空间与工程学报, 2009, 5(1): 1-21.
[11] 赵金花, 李波, 陆汉鹏, 等. 单一地震事件与多个地震事件的定位方法及应用[J]. 地震地磁观测与研究, 2007, 28(4): 75-83.
[12] 田玥, 陈晓非. 地震定位研究综述[J]. 地球物理学进展, 2002, 17(1): 147-155..
[13] William Rodi. Grid-search event location with non-Gaussian error models[J]. Physics of the Earth and Planetary Interiors, 2006, 158: 55-66.
[14] Volker Oye, Michael Roth. Automated seismic event location for hydrocarbon reservoirs[J]. Computers & Geosciences, 2003, 29: 851-863.
[15] Gary L Pavlisa, Frank Vernonb, Danny Harveyc, et al. The generalized earthquake location (GENLOC) package: an earthquake location library[J]. Computers & Geosciences, 2004, 30: 1079-1091.
[16] Lienert B R, Berg E, Frazer L N. Hypocenter: An earthquake location method using centered, scaled, and adaptively damped least squares[J]. Bull Seismol Soc Am, 1986, 76: 711-783.
[17] Malcolm Sambridge. Geophysical inversion with a neighbourhood algorithm—I. Searching a parameter space[J]. Geophys J Int, 1999, 138: 479-494.
[18] 董陇军, 李夕兵, 唐礼忠, 等. 无需预先测速的微震震源定位的数学形式及震源参数确定[J]. 岩石力学与工程学报, 2011, 30(10): 2057-2068.
[19] Maxwell S C, Rutledge J, Jones R, et al. Petroleum reservoir characterization using downhole microseismic monitoring[J]. Geophysics, 2010, 75(5): A129-A137.
[20] 李铁, 纪洪广. 矿井不明水体突出过程的微震辨识技术[J]. 岩石力学与工程学报, 2010, 29(1): 134-150.
[21] 杜文军, 雷湘鄂, 黄江. 储层压裂微地震的3种监测方式[J]. 石油天然气学报, 2010, 22(6): 303-305.
[22] 沈琛, 梁北援, 李宗田. 微破裂向量扫描技术原理[J]. 石油学报, 2009, 30(5): 744-749.
[23] 李文军, 陈棋福. 用震源扫描算法(SSA)进行微震的定位[J]. 地震, 2006, 26(3): 107-115.
[24] 朱元清, 赵仲和. 提高地震定位精度新方法的研究[J]. 地震地磁观测与研究, 1997, 18(5): 59-68.
[25] Robert L Kidney, Ulrich Zimmer, Neda Boroumand. Impact of distance-dependent location dispersion error on interpretation of microseismic event distributions[M]. The Leading Edge, 2010. 284-289.
[26] Julie Shemeta, Paul Anderson. It’s a matter of size: Magnitude and moment estimates for microseismic data[M]. The Leading Edge, 2010. 296-302.
[27] Fuxian Song, H. Sadi Kuleli, M. Nafi Toksöz, et al. An improved method for hydrofracture-induced microseismic event detection and phase picking[J]. Geophysics, 2010, 75(6): A47-A52.
[28] Kummerow J. Using the value of the crosscorrelation coefficient to locate microseismic events[J]. Geophysics, 2010, 75( 4): MA47-MA52.
[29] Shawn Maxwell. Microseismic hydraulic fracture imaging: the path toward optimizing shale gas production[M]. The Leading Edge, 2011. 340-345.
[30] http://www.orfeus-eu.org/ Software/ software.html.
[31] http://www.iamg.org/CGEditor/ index.htm