Name
Title | ||
|---|---|---|
A Sparse Bayesian Imaging Technique for Efficient Recovery of Reservoir Channels With Time-Lapse Seismic Measurements. |
Abstract | ||
|---|---|---|
Subsurface reservoir flow channels are characterized by high-permeability values and serve as preferred pathways for fluid propagation. Accurate estimation of their geophysical structures is thus of great importance for the oil industry. The ensemble Kalman filter (EnKF) is a widely used statistical technique for estimating subsurface reservoir model parameters. However, accurate reconstruction of... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2563163 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Reservoirs,Geology,Bayes methods,Estimation,Image reconstruction,Matching pursuit algorithms,Permeability | Reconstruction algorithm,Artificial intelligence,Ensemble Kalman filter,Iterative reconstruction,Computer vision,Sparse approximation,Flow (psychology),Algorithm,Communication channel,Smoothing,Mathematics,Machine learning,Bayesian probability | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Furrukh Sana | 1 | 2 | 1.72 |
| Fabio Ravanelli | 2 | 0 | 0.34 |
| Tareq Y. Al-Naffouri | 3 | 969 | 108.71 |
| Ibrahim Hoteit | 4 | 21 | 10.06 |