Name
Title | ||
|---|---|---|
Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective. |
Abstract | ||
|---|---|---|
Reservoir characterization (RC) is a process of finding petrophysical properties of the subsurface mainly from the seismic and well-log data. The nonlinear and heterogeneous nature of the subsurface is the major bottleneck in estimating the reservoir properties. In the past two decades, the RC has eventually turned out to be an interdisciplinary field of research involving computational science, s... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MSP.2017.2776602 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Prediction algorithms,Signal processing algorithms,Feature extraction,Artificial neural networks,Signal resolution,Reservoirs | Data integration,Signal processing,Bottleneck,Computer science,Feature extraction,Preprocessor,Well logging,Artificial intelligence,Reservoir modeling,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
35 | 2 | 1053-5888 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumi Chaki | 1 | 10 | 3.52 |
| Aurobinda Routray | 2 | 337 | 52.80 |
| William K. Mohanty | 3 | 12 | 4.23 |