Source Parameters and Scaling Relations for Reservoir Induced Seismicity in the Longtan Reservoir Area

2012 ◽  
Vol 170 (5) ◽  
pp. 767-783 ◽  
Author(s):  
Wei Hua ◽  
Zhangli Chen ◽  
Sihua Zheng
2012 ◽  
Vol 17 (2) ◽  
pp. 667-681 ◽  
Author(s):  
Wei Hua ◽  
Zhangli Chen ◽  
Sihua Zheng ◽  
Chunqing Yan

Author(s):  
Marcelo Assumpção ◽  
Vasile Marza ◽  
Lucas Barros ◽  
Cristiano Chimpliganond ◽  
José Eduardo Soares ◽  
...  

1988 ◽  
Vol 78 (6) ◽  
pp. 2025-2040
Author(s):  
D.W. Simpson ◽  
W.S. Leith ◽  
C.H. Scholz

Abstract The temporal distribution of induced seismicity following the filling of large reservoirs shows two types of response. At some reservoirs, seismicity begins almost immediately following the first filling of the reservoir. At others, pronounced increases in seismicity are not observed until a number of seasonal filling cycles have passed. These differences in response may correspond to two fundamental mechanisms by which a reservoir can modify the strength of the crust—one related to rapid increases in elastic stress due to the load of the reservoir and the other to the more gradual diffusion of water from the reservoir to hypocentral depths. Decreased strength can arise from changes in either elastic stress (decreased normal stress or increased shear stress) or from decreased effective normal stress due to increased pore pressure. Pore pressure at hypocentral depths can rise rapidly, from a coupled elastic response due to compaction of pore space, or more slowly, with the diffusion of water from the surface.


1992 ◽  
Vol 209 (1-4) ◽  
pp. 331-337 ◽  
Author(s):  
Hu Ping ◽  
Hu Yuliang

2013 ◽  
Vol 664 ◽  
pp. 270-275 ◽  
Author(s):  
Ming Zhong ◽  
Qiu Wen Zhang

Due to the uncertainty and complexity of the causes in reservoir-induced seismicity, the relationship between the environmental factor and the possible earthquake magnitude can be described by membership function. This study aims to propose a fuzzy method to contribute the membership function in which the normal cloud model is applied. Firstly, the cloud model is introduced in detail. Based on normal cloud model, the one-to-many mapping model is presented to deal with the fuzziness and randomness in the membership function. Finally, the case study in Yangtze Three Gorges Reservoir is presented to illustrate the membership cloud function in fuzzy risk assessment of reservoir-induced seismicity. The obtained results show that the proposed method is the viable approaches in solving the problem when the memberships are vague and imprecise.


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