Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran

Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)

Standard

Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran. / Zargari, H.; Poordad, S.; Kharrat, R.
in: Petroleum science and technology, Jahrgang 31, Nr. 10, 15.05.2013, S. 1066-1077.

Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)

Harvard

Zargari, H, Poordad, S & Kharrat, R 2013, 'Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran', Petroleum science and technology, Jg. 31, Nr. 10, S. 1066-1077. https://doi.org/10.1080/10916466.2010.536805

APA

Zargari, H., Poordad, S., & Kharrat, R. (2013). Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran. Petroleum science and technology, 31(10), 1066-1077. https://doi.org/10.1080/10916466.2010.536805

Vancouver

Zargari H, Poordad S, Kharrat R. Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran. Petroleum science and technology. 2013 Mai 15;31(10):1066-1077. doi: 10.1080/10916466.2010.536805

Author

Zargari, H. ; Poordad, S. ; Kharrat, R. / Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran. in: Petroleum science and technology. 2013 ; Jahrgang 31, Nr. 10. S. 1066-1077.

Bibtex - Download

@article{377488a7df994903b1a7be4e739cc4f6,
title = "Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran",
keywords = "ANFIS, ANN, carbonate reservoir, porosity",
author = "H. Zargari and S. Poordad and R. Kharrat",
year = "2013",
month = may,
day = "15",
doi = "10.1080/10916466.2010.536805",
language = "English",
volume = "31",
pages = "1066--1077",
journal = "Petroleum science and technology",
issn = "1091-6466",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran

AU - Zargari, H.

AU - Poordad, S.

AU - Kharrat, R.

PY - 2013/5/15

Y1 - 2013/5/15

KW - ANFIS

KW - ANN

KW - carbonate reservoir

KW - porosity

UR - http://www.scopus.com/inward/record.url?scp=84876490064&partnerID=8YFLogxK

U2 - 10.1080/10916466.2010.536805

DO - 10.1080/10916466.2010.536805

M3 - Article

AN - SCOPUS:84876490064

VL - 31

SP - 1066

EP - 1077

JO - Petroleum science and technology

JF - Petroleum science and technology

SN - 1091-6466

IS - 10

ER -

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