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

Masoudi Pedram 1 Tahar Aifa 2, * Hossein Memarian 1 Behzad Tokhmechi 3
* Corresponding author
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.
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https://hal-insu.archives-ouvertes.fr/insu-01661614
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Submitted on : Tuesday, December 12, 2017 - 8:32:01 AM
Last modification on : Wednesday, November 3, 2021 - 4:55:26 AM

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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⟩

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