Výsledky vyhledávání - "Mostafa Mansouri Zadeh"

A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study

Autor: Mohsen Hadian, Ramin Moghadasi, Mostafa Mansouri Zadeh, Omid Mohammadzadeh, Majid Jamshidian

Publikováno v: Fuel. 220:363-378

Capillary pressure is one of the most important parameters affecting fluids distribution in a reservoir rock and is an essential input parameter for reservoir simulation. Measurement of capillary pressure data, in the context of special core analysis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d10e3d0ce8313f80516cfaa3d18b62a
https://doi.org/10.1016/j.fuel.2018.01.099

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Estimation of minimum horizontal stress, geomechanical modeling and hybrid neural network based on conventional well logging data – a case study

Autor: Mohsen Hadian, Mostafa Mansouri Zadeh, Majid Jamshidian, Sahand Nekoeian, Morteza Mansouri Zadeh

Publikováno v: Geosystem Engineering. 20:88-103

The minimum horizontal stress (Shmin) is one of the three principal stresses and is required for evaluation of the hydraulic fracturing, sand production, and well stability. Shmin is obtained using direct methods such as the leak-off and mini-frac te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2055afed8dba111f8e27800c9a687bcc
https://doi.org/10.1080/12269328.2016.1227728

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Newly Prepared Nano Gamma Alumina and Its Application in Enhanced Oil Recovery: An Approach to Low-Salinity Waterflooding

Autor: Jamshid Moghadasi, Mostafa Mansouri Zadeh, Saeed Khodabakhshi, Sajad Kiani, Alimorad Rashidi

Publikováno v: Energy & Fuels. 30:3791-3797

Nano gamma alumina (NGA) was prepared via a simple synthetic route and used for the preparation of a nanofluid in various salinities on the water-wet sandstone core samples. A new waterflooding experiment on sandstone rock for enhanced oil recovery (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dcd60bad581d46e239c228c690db6ce3
https://doi.org/10.1021/acs.energyfuels.5b03008

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Prediction of free flowing porosity and permeability based on conventional well logging data using artificial neural networks optimized by Imperialist competitive algorithm – A case study in the South Pars gas field

Autor: Pouya Bazargan, Mohsen Hadian, Mostafa Mansouri Zadeh, Majid Jamshidian, Hoorash Salehi, Zohreh Kazempoor

Publikováno v: Journal of Natural Gas Science and Engineering. 24:89-98

Nuclear Magnetic Resonance (NMR) logging is one of the most effective tools in determining permeability and porosity of a formation layer, so it is a reliable method to characterize a reservoir. Since NMR logging is not applicable in certain circumst

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb8aae866aaed95c0234820574f55ad5
https://doi.org/10.1016/j.jngse.2015.02.026

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