Title | ||
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Orthogonal Matching Pursuit for Enhanced Recovery of Sparse Geological Structures With the Ensemble Kalman Filter. |
Abstract | ||
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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 Sana | 1 | 2 | 1.72 |
Klemens Katterbauer | 2 | 1 | 1.04 |
Tareq Y. Al-Naffouri | 3 | 969 | 108.71 |
Ibrahim Hoteit | 4 | 21 | 10.06 |