Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir

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Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir. / Moghadam, J. Naseryan; Salahshoor, K.; Kharrat, R.
In: Petroleum science and technology, Vol. 29, No. 20, 01.2011, p. 2095-2112.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Moghadam, JN, Salahshoor, K & Kharrat, R 2011, 'Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir', Petroleum science and technology, vol. 29, no. 20, pp. 2095-2112. https://doi.org/10.1080/10916461003627870

APA

Moghadam, J. N., Salahshoor, K., & Kharrat, R. (2011). Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir. Petroleum science and technology, 29(20), 2095-2112. https://doi.org/10.1080/10916461003627870

Vancouver

Moghadam JN, Salahshoor K, Kharrat R. Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir. Petroleum science and technology. 2011 Jan;29(20):2095-2112. doi: 10.1080/10916461003627870

Author

Moghadam, J. Naseryan ; Salahshoor, K. ; Kharrat, R. / Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir. In: Petroleum science and technology. 2011 ; Vol. 29, No. 20. pp. 2095-2112.

Bibtex - Download

@article{f63135e5294b436185da81af2c8df698,
title = "Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir",
keywords = "artificial neural network, exponential model, MLR model, pattern recognition, permeability, porosity, reservoir characterization",
author = "Moghadam, {J. Naseryan} and K. Salahshoor and R. Kharrat",
year = "2011",
month = jan,
doi = "10.1080/10916461003627870",
language = "English",
volume = "29",
pages = "2095--2112",
journal = "Petroleum science and technology",
issn = "1091-6466",
number = "20",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Intelligent prediction of porosity and permeability from well logs for an iranian fractured carbonate reservoir

AU - Moghadam, J. Naseryan

AU - Salahshoor, K.

AU - Kharrat, R.

PY - 2011/1

Y1 - 2011/1

KW - artificial neural network

KW - exponential model

KW - MLR model

KW - pattern recognition

KW - permeability

KW - porosity

KW - reservoir characterization

UR - http://www.scopus.com/inward/record.url?scp=80755127085&partnerID=8YFLogxK

U2 - 10.1080/10916461003627870

DO - 10.1080/10916461003627870

M3 - Article

AN - SCOPUS:80755127085

VL - 29

SP - 2095

EP - 2112

JO - Petroleum science and technology

JF - Petroleum science and technology

SN - 1091-6466

IS - 20

ER -

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