Publisher
Springer Science and Business Media LLC
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
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献