Uncertainty assessment of porosity and permeability by clustering algorithm and fuzzy arithmetic

Masoudi Pedram 1 Tahar Aifa 2 Hossein Memarian 1 Behzad Tokhmechi 3
1 School of Mining Engineering, University College of Engineering
2 GR - Géosciences Rennes
3 School of Mining, Petroleum and Geophysics Engineering
Abstract : Fuzzy arithmetic applied to assess uncertainty of porosity and permeability (porperm).•Two criteria proposed for assessing fuzzy numbers of porperm by cores.•The α > 0.90 is proposed for reporting uncertainty of porperm.•Cluster-based calibration of NPHI resulted in a high precision porosity estimation.•Homogeneity of porosity is studied through generalization ability of estimators.
Type de document :
Article dans une revue
Journal of Petroleum Science and Engineering, Elsevier, 2018, 161, pp.275-290. 〈10.1016/j.petrol.2017.11.018〉
Liste complète des métadonnées
https://hal-insu.archives-ouvertes.fr/insu-01661614
Contributeur : Isabelle Dubigeon <>
Soumis le : mardi 12 décembre 2017 - 08:32:01
Dernière modification le : lundi 24 septembre 2018 - 15:30:02

Identifiants

Collections

INSU | GR | GR-3T | OSUR | UNIV-RENNES

Citation

Masoudi Pedram, Tahar Aifa, Hossein Memarian, Behzad Tokhmechi. Uncertainty assessment of porosity and permeability by clustering algorithm and fuzzy arithmetic. Journal of Petroleum Science and Engineering, Elsevier, 2018, 161, pp.275-290. 〈10.1016/j.petrol.2017.11.018〉. 〈insu-01661614〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

78

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD