Micro-seismic forward modeling in viscoelastic anisotropic media based on different focal mechanisms
Yao Zhen'an1,2, Sun Chengyu1,2, Tang Jie1,2, Yu zhichao3
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China;
2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266071, China;
3. Institute of Oil & Gas, School of Earth and Space Sciences, Peking University, Beijing 100871, China
Abstract：In view of complexity of real media and variation of micro-seismic source,micro-seismic wave field is simulated based on seismic moment tensor and viscoelastic anisotropic wave equation by staggered-grid finite difference method,and then micro-seismic signal propagation characteristics and polarization characteristics are studied.The following conclusions are obtained:1The energy of DC source simulations mainly focuses on qS-wave in the Vy component; on the contrary,the energy of ISO and CLVD source simulations mainly focuses on both qP-wave and qS-wave in Vx and Vz components,and the CLVD source would generate stronger qS-wave than ISO source in Vx component; 2The viscoelasticity of media would result in amplitude attenuation and waveform characteristics change,especially for qS-wave; shear wave splitting can be observed in three kinds of source simulations especially in viscoelastic media; 3VTI media can be distinguished from other types of media with CLVD source because its curve sudden change between polarizing angle and incident angle is different.In terms of micro-seismic signal polarization characteristics,the viscoelasticity impact is very small.
姚振岸, 孙成禹, 唐杰, 喻志超. 基于不同震源机制的黏弹各向异性微地震波场模拟[J]. 石油地球物理勘探, 2017, 52(1): 63-70.
Yao Zhen'an, Sun Chengyu, Tang Jie, Yu zhichao. Micro-seismic forward modeling in viscoelastic anisotropic media based on different focal mechanisms. OGP, 2017, 52(1): 63-70.
Staněk F,Eisner L and Moser T J.Stability of source mechanisms inverted from P-wave amplitude microseismic monitoring data acquired at the surface.Geophysical Prospecting,2014,62(3):475-490.
[2]
Baig A and Urbancic T I.Microseismic moment tensors:A path to understanding frac growth.The Leading Edge,2010,29(3):320-324.
[3]
Eisner L,Hulsey B J,Duncan P et al.Comparison of surface and borehole locations of induced seismicity.Geophysical Prospecting,2010,58(5):805-816.
[4]
MaxwellSC.Microseismic:Growthbornfromsuccess.The Leading Edge,2010,29(3):338-343.
[5]
Jansky J,Plicka V,Eisner L.Feasibility of joint 1D velocity model and event location inversion by the neighbourhood algorithm.Geophysical Prospecting,2010,58(2):229-234.
SongWeiqi,Gao Yanke,ZhuHaiwei.Waveforminversion of horizontal layer model for surface micro seismic.OGP,2013,48(1):64-70.
[7]
Carcione J M.Wave propagation in anisotropic linear viscoelastic media:theory and simulated wavefields.Geophysical Journal International,1990,101(3):739-750.
[8]
Aki K and Richards P G.Quantitatives Seismology (2nd Edition).University Science Books,Mill Valley,California,United States,2002.
Tang Jie,Fang Bing,Lan Yang et al.Focal mechanism of micro-seismic induced by hydrofracture and its signal propagation characteristics.OGP,2015,50(4):643-649.
[10]
Vavryuk V.Focal mechanisms in anisotropic media.Geophysical Journal International,2005,161(2):334-346.
[11]
Graves R W.Simulating seismic wave propagation in 3D elastic media using staggered-grid finite differences.Bulletin of the Seismological Society of America,1996,86(4):1091-1106.
[12]
Li Huijian,Wang Runqiu and Cao Siyuan.Microseismic forward modeling based on different focal mechanisms used by the seismic moment tensor and elastic wave equation.Journal of Geophysics and Engineering,2015,12(2):155-166.
