Fault stability evaluation based on microseismic data and sliding trend seismic attributes: A case study in the Sichuan Basin, Southwest China

Author(s):  
Wang Shize ◽  
Cai Zhidong ◽  
Guo Rui ◽  
Li Yanpeng ◽  
Feng Chao ◽  
...  
2018 ◽  
Vol 52 (5) ◽  
pp. 401-413 ◽  
Author(s):  
Chuanqing Zhu ◽  
Ming Xu ◽  
Nansheng Qiu ◽  
Shengbiao Hu

First Break ◽  
2014 ◽  
Vol 32 (1) ◽  
Author(s):  
F. Xiao ◽  
J. Yang ◽  
B. Liang ◽  
M. Zhang ◽  
R. Li ◽  
...  

Geophysics ◽  
2021 ◽  
pp. 1-97
Author(s):  
kai lin ◽  
Bo Zhang ◽  
Jianjun Zhang ◽  
Huijing Fang ◽  
Kefeng Xi ◽  
...  

The azimuth of fractures and in-situ horizontal stress are important factors in planning horizontal wells and hydraulic fracturing for unconventional resources plays. The azimuth of natural fractures can be directly obtained by analyzing image logs. The azimuth of the maximum horizontal stress σH can be predicted by analyzing the induced fractures on image logs. The clustering of micro-seismic events can also be used to predict the azimuth of in-situ maximum horizontal stress. However, the azimuth of natural fractures and the in-situ maximum horizontal stress obtained from both image logs and micro-seismic events are limited to the wellbore locations. Wide azimuth seismic data provides an alternative way to predict the azimuth of natural fractures and maximum in-situ horizontal stress if the seismic attributes are properly calibrated with interpretations from well logs and microseismic data. To predict the azimuth of natural fractures and in-situ maximum horizontal stress, we focus our analysis on correlating the seismic attributes computed from pre-stack and post-stack seismic data with the interpreted azimuth obtained from image logs and microseismic data. The application indicates that the strike of the most positive principal curvature k1 can be used as an indicator for the azimuth of natural fractures within our study area. The azimuthal anisotropy of the dominant frequency component if offset vector title (OVT) seismic data can be used to predict the azimuth of maximum in-situ horizontal stress within our study area that is located the southern region of the Sichuan Basin, China. The predicted azimuths provide important information for the following well planning and hydraulic fracturing.


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