Fuzzy support vector regression for permeability estimation of petroleum reservoir using well logs

Author:

Moosavi Nastaran,Bagheri MajidORCID,Nabi-Bidhendi Majid,Heidari Reza

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference48 articles.

1. Aghchelou M, Nabi-Bidhendi M, Shahvar M.B (2012) Lithofacies estimation by multi resolution graph-based clustering of petrophysical well logs: case study of south pars gas field of Iran, SPE 16299

2. Al-Anazi AF, Gates DI (2012) Support vector regression to predict porosity and permeability: effect of sample size. Comp Geosci 39:64

3. Al-Mudhafar W, (2020) Integrating electrofacies and well logging data into regression and machine learning approaches for improved permeability estimation in a carbonate reservoir in a giant southern iraqi oil field, offshore technology conference, houston, Texas, ISBN: 97–1–61399–707–9

4. Ameri S, Molnar D and Mohaghegh S (1993) Permeability evaluation in heterogeneous formations using geophysical well logs and geological interpretations SPE Western Regional Meeting (Anchorage, AK) SPE 26060

5. Bishop CM (2006) Pattern recognition and machine learning. Springer, New York, pp 325–344

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