Title
Orthogonal Matching Pursuit for Enhanced Recovery of Sparse Geological Structures With the Ensemble Kalman Filter.
Abstract
Estimating the locations and the structures of subsurface channels holds significant importance for forecasting the subsurface flow and reservoir productivity. These channels exhibit high permeability and are easily contrasted from the low-permeability rock formations in their surroundings. This enables formulating the flow channels estimation problem as a sparse field recovery problem. The ensemb...
Year
DOI
Venue
2016
10.1109/JSTARS.2016.2518119
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Reservoirs,Estimation,Matching pursuit algorithms,Permeability,Rocks,Transforms
Flow channel,Matching pursuit,Subsurface flow,Artificial intelligence,Ensemble Kalman filter,Compressed sensing,Computer vision,Flow (psychology),Communication channel,Algorithm,Machine learning,Calibration,Mathematics
Journal
Volume
Issue
ISSN
9
4
1939-1404
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Furrukh Sana121.72
Klemens Katterbauer211.04
Tareq Y. Al-Naffouri3969108.71
Ibrahim Hoteit42110.06