Abstract
A method of B-spline transform for signal feature extraction is developed. With the B-spline, the log-signal space is mapped into the vector space. An efficient algorithm based on Support Vector Machine (SVM) to automatically identify the water-flooded status of oil-saturated stratum is described. The experiments show that this algorithm can improve the performances for the identification and the generalization in the case of a limited set of samples.
| Original language | English |
|---|---|
| Pages (from-to) | 245-250 |
| Number of pages | 6 |
| Journal | Journal of Electronics |
| Volume | 24 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 2007 |
Keywords
- B-spline transform
- Feature extraction
- Support Vector Machine (SVM)
- Water-flooded status
Fingerprint
Dive into the research topics of 'B-spline-based SVM model and its applications to oil water-flooded status identification'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver