The Basics of Fracture System Characterization – Field Mapping and Stochastic Simulations

Author(s):  
Lanru Jing ◽  
Ove Stephansson
1989 ◽  
Vol 26 (2) ◽  
pp. 313-323
Author(s):  
Lahcen Ait-Ssi ◽  
Jean-Pierre Villeneuve ◽  
Alain Rouleau

This study of the hydraulic properties of a fractured rock mass is based on data from field injection tests and fracture measurements, and on simulations of the fracture system in the bedrock upstream from the Daniel Johnson dam at Manic 5. Analysis of water injection tests indicates that the bedrock can be divided into two zones with respect to the permeability. The more permeable zone, which is the object of this study, shows a log-normal distribution of the hydraulic conductivities.Using several stochastic simulations of fracture networks, the fracture aperture has been adjusted gradually to reproduce the rock mass permeability estimated from injection tests. The results show that the fracture system geometry, as well as the fracture porosity and the fracture lengths and densities, influences widely the hydraulic properties of a fractured medium and particularly the fracture porosity. Also, the estimation of the fracture porosity is sensitive to a number of other factors, including the assumed hydraulic boundary conditions, the field estimation of the hydraulic conductivities, and the orientation of the simulation planes. Key words: fissured media, fracture porosity, stochastic model, simulation, sensitivity analysis, dam.


2011 ◽  
Author(s):  
Haiying Long ◽  
Bing He ◽  
Ying Ding ◽  
Jonathan A. Plucker

2017 ◽  
Vol 13 (9) ◽  
pp. 6480-6488 ◽  
Author(s):  
A.D. Jeyarani ◽  
Reena Daphne ◽  
Solomon Roach

The main contribution of this paper has been to introduce nonlinear classification techniques to extract more information from the PCG signal. Especially, Artificial Neural Network classification techniques have been used to reconstruct the underlying system’s state space based on the measured PCG signal. This processing step provides a geometrical interpretation of the dynamics of the signal, whose structure can be utilized for both system characterization and classification as well as for signal processing tasks such as detection and prediction.


2005 ◽  
Author(s):  
Rabih E. Jabbour ◽  
Deborah Kuzmanovic ◽  
Patrick E. McCubbin ◽  
Ilya Elashvili ◽  
Charles H. Wick

2018 ◽  
Author(s):  
Matthew Panner ◽  
◽  
Nathaniel Sheehan ◽  
Mindy A. Kimball ◽  
Abigail Carter
Keyword(s):  

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