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B-spline-based SVM model and its applications to oil water-flooded status identification

  • Fuhua Shang*
  • , Tiejun Zhao
  • , Xiongying Yi
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Daqing Petroleum Institute
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)245-250
Number of pages6
JournalJournal of Electronics
Volume24
Issue number2
DOIs
StatePublished - Mar 2007

Keywords

  • B-spline transform
  • Feature extraction
  • Support Vector Machine (SVM)
  • Water-flooded status

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