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

J. Naseryan Moghadam; K. Salahshoor; R. Kharrat

doi:10.1080/10916461003627870

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

J. Naseryan Moghadam, K. Salahshoor, R. Kharrat

Lehrstuhl für Reservoir Engineering (570)

Petroleum University of Technology, Tehran

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

3 Zitate (Scopus)

Originalsprache	Englisch
Seiten (von - bis)	2095-2112
Seitenumfang	18
Fachzeitschrift	Petroleum science and technology
Jahrgang	29
Ausgabenummer	20
DOIs	https://doi.org/10.1080/10916461003627870
Publikationsstatus	Veröffentlicht - Jan. 2011

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10.1080/10916461003627870

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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",

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KW - artificial neural network

KW - exponential model

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KW - pattern recognition

KW - permeability

KW - porosity

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