Reservoir Characterization Using Support Vector Machines

@article{Wong2005ReservoirCU,
  title={Reservoir Characterization Using Support Vector Machines},
  author={Kevin Kok Wai Wong and Lance Chun Che Fung and Yew-Soon Ong and Tam{\'a}s D. Gedeon},
  journal={International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)},
  year={2005},
  volume={2},
  pages={354-359}
}
Reservoir characterization especially well log data analysis plays an important role in petroleum exploration. This is the process used to identify the potential for oil production at a given source. In recent years, support vector machines (SVMs) have gained much attention as a result of its strong theoretical background. SVM is based on statistical learning theory known as the Vapnik-Chervonenkis theory. The theory has a strong mathematical foundation for dependencies estimation and… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 17 references

Modular Artificial Neural Network for Prediction of Petrophysical Properties from Well Log Proceedings of the 2005 International Conference on Computational Intelligence for Modelling

  • C. C. Fung, K. W. Wong, H. Eren, R. Charlebois, H. Crocker
  • Control and Automation, and International…
  • 2005
1 Excerpt

The Use of Soft Computing Techniques as Data Preprocessing and Postprocessing in Permeability Determination from Well Log Data,

  • K. W. Wong, T. D. Gedeon, C. C. Fung
  • Physica-Verlag, Springer-Verlag,
  • 2002
1 Excerpt

Permeability Prediction from Well Logs Using An Improved Windowing Technique,

  • P. M. Wong
  • Journal of Petroleum Geology,
  • 1999
1 Excerpt

The Stag Oil Field Formation Evaluation: A Neural Network Approach,

  • H. Crocker, C. C. Fung, K. W. Wong
  • The APPEA Journal,
  • 1999
1 Excerpt

Prediction of Permeability from Wire-line Logs Using Artificial Neural Networks,

  • G. B. Arpat
  • Proceedings of SPE Annual Technical Conference…
  • 1997
2 Excerpts

Permeability Prediction with Artificial Neural Network Modeling in the Venture Gas Field

  • Z. Huang, J. Shimeld, M. Williamson, J. Katsube
  • Offshore Eastern Canada,” Geophysics, 61(2)
  • 1996
1 Excerpt

Permeability Prediction with Artificial Neural Network Modeling in the Venture Gas Field , Offshore Eastern Canada

  • J. Shimeld Z. Huang, M. Williamson, J. Katsube
  • Geophysics
  • 1996

The Geological Interpretation of Well Logs

  • M. Rider
  • Second Edition, Whittles Publishing
  • 1996
2 Excerpts

and R

  • S. Mohaghegh, R. Arefi, S. Ameri, K. Aminiand
  • Nutter, “Petroleum Reservoir Characterization…
  • 1996
1 Excerpt

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