›› 2007, Vol. 28 ›› Issue (10): 2219-2223.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Spatial variability of geomechanical parameter estimation via ensemble kalman filter

ZHAO Hong-liang1, FENG Xia-ting1, ZHANG Dong-xiao2, ZHOU Hui1   

  1. 1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; 2. Mewbourne School of Petroleum and Geological Engineering, the University of Oklahoma, Norman, OK 73019, USA
  • Received:2006-09-11 Online:2007-10-10 Published:2013-10-15

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Abstract: Geomechanical parameters have structural and stochastic properties on spatial variability, which causes the uncertainty of geomechanical parameters. Geostatistics is used as the theoretical foundation for analyzing the spatial variability of geomechanical parameters; and geomechanical parameters distributing in region of interest are considered as zonal variables. Variogram function can not only describe the integral spatial structural variety, but also describe the local stochastic variety. Therefore, theoretical model of variogram function is employed as the mathematical model for depicting the spatial variability law of geomechanical parameters. The ensemble Kalman filter method is introduced to estimate the spatial variability of geomechanical parameters using the observation data with temporal and spatial variation. Demonstrated by numerical example, the EnKF can effectively incorporate the observation data and successfully provide the spatial variability estimation of geomechanical parameters.

Key words: spatial variability, geostatistics, uncertainty, geomechanical parameter, ensemble Kalman filter

CLC Number: 

  • TB 115
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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