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APPLIED GEOPHYSICS  2011, Vol. 8 Issue (2): 117-124    DOI: 10.1007/s11770-011-0281-5
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Application of seismic anisotropy fluid detection technology in the Ken 71 well block of Shengli Oilfield
Bi Li-Fei1, 2, Qian Zhong-Ping3, Zhang Feng4, Chen Xiao-Yan5, Han Shi-Chun2, and Mark Chapman6
1. China University of Geoseince (Wuhan), Wuhan 430074, China.
2. Shengli Geophysical Institute, Dongying 257001, China.
3. BGP Geophysical Research Center, Zhuozhou 072751, China.
4. UK Imperial College, London, SW7 2AZ, UK.
5. Drilling Engineering Technology Comp., Shengli Oilfi eld, Dongying 257064, China.
6. The University of Edinburgh, Edinburgh, EH9 3LA, UK.
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Abstract On the basis of Chapman’s (2003) model, as the seismic wave incidences angles vary from 0° to 45° while propagating in anisotropic media (HTI), the slow S-wave will sufferred by serious attenuation and dispersion and is sensitive to fl uid viscosity but the Pand fast S-waves don’t. For slow S waves propagating normal to fractures, the amplitudes are strongly affected by pore fluid. So, the slow S-wave can be used to detect fractured reservoir fl uid information when the P-wave response is insensitive to the fl uid. In this paper, 3D3C seismic data from the Ken 71 area of Shengli Oilfi eld are processed and analyzed. The travel time and amplitude anomalies of slow S-waves are detected and correlated with well log data. The S-wave splitting in a water-bearing zone is higher than in an oil-bearing zone. Thus, the slow S-wave amplitude change is more signifi cant in water-bearing zones than in oil-bearing zones.
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Articles by authors
BI Li-Fei
QIAN Zhong-Ping
ZHANG Feng
CHEN Xiao-Yan
HAN Shi-Chun
Mark Chapman
Key wordsanisotropy   slow S-wave   fluid detection     
Received: 2010-05-24;
Fund:

This work was supported by the National 863 Program (Grant No. 2007AA060505).

About author: Bi Li-Fei is a PhD student at China University of Geosciences (Wuhan) as well as a senior engineer in Shengli Geophysical Institute. His research mainly focuses on 3D3C seismic data processing and methods.
Cite this article:   
BI Li-Fei,QIAN Zhong-Ping,ZHANG Feng et al. Application of seismic anisotropy fluid detection technology in the Ken 71 well block of Shengli Oilfield[J]. APPLIED GEOPHYSICS, 2011, 8(2): 117-124.
 
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