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This content will become publicly available on August 19, 2018

Title: Smoothing-based compressed state Kalman filter for joint state-parameter estimation: Applications in reservoir characterization and CO 2 storage monitoring

Authors:
ORCiD logo [1] ; ORCiD logo [2] ;  [3] ;  [4]
  1. Department of Civil and Environmental Engineering, Stanford University, Stanford California USA
  2. Department of Environmental Science, University of San Francisco, San Francisco California USA
  3. Institute for Computational and Mathematical Engineering, Jen-Hsun Huang Engineering Center, Stanford University, Stanford California USA, Department of Mechanical Engineering, Stanford University, Stanford California USA
  4. Department of Civil and Environmental Engineering, Stanford University, Stanford California USA, Institute for Computational and Mathematical Engineering, Jen-Hsun Huang Engineering Center, Stanford University, Stanford California USA
Publication Date:
Grant/Contract Number:
FE0009260
Type:
Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-04-03 10:38:54; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1375647