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Scopus Author ID: 57208107792

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Employment (1)

University of Baghdad: Baghdad, Iraq, IQ

Professor (Petroleum Engineering Department)
Employment
Source: Self-asserted source
Faleh H.M. Almahdawi

Education and qualifications (1)

College of Engineering, University of Baghdad: Baghdad, Iraq, IQ

Prof. Dr. (Petroleum Engineering Department)
Education
Source: Self-asserted source
Faleh H.M. Almahdawi

Professional activities (1)

Society of Petroleum Engineers: Baghdad, Baghdad, IQ

member
Membership
Source: Self-asserted source
Faleh H.M. Almahdawi

Works (5)

Application of artificial neural network to predict slug liquid holdup

International Journal of Multiphase Flow
2022 | Journal article
DOI: 10.1016/j.ijmultiphaseflow.2022.104004
EID:

2-s2.0-85124971911

Part of ISSN: 03019322
Contributors: Abdul-Majeed, G.H.; Kadhim, F.S.; Almahdawi, F.H.M.; Al-Dunainawi, Y.; Arabi, A.; Al-Azzawi, W.K.
Source: Self-asserted source
Faleh H.M. Almahdawi via Scopus - Elsevier

Experimental study of micro silica behavior and its effect on iraqi cement performance by using X-ray fluorescence analysis

Iraqi Geological Journal
2020 | Journal article
EID:

2-s2.0-85097075679

Part of ISSN: 24146064
Contributors: Assi, A.H.; Almahdawi, F.H.M.
Source: Self-asserted source
Faleh H.M. Almahdawi via Scopus - Elsevier

Better Hole Cleaning in Highly Deviated Wellbores

IOP Conference Series: Materials Science and Engineering
2019 | Conference paper
DOI: 10.1088/1757-899X/579/1/012007
EID:

2-s2.0-85072119780

Part of ISSN: 1757899X 17578981
Contributors: Allawi, R.H.; Almahdawi, F.H.M.
Source: Self-asserted source
Faleh H.M. Almahdawi via Scopus - Elsevier

Development of artificial neural networks and multiple regression analysis for estimating of formation permeability

Society of Petroleum Engineers - SPE Europec Featured at 81st EAGE Conference and Exhibition 2019
2019 | Conference paper
DOI: 10.2118/195502-ms
EID:

2-s2.0-85088761288
Contributors: Hadi, F.; Albehadili, A.; Jassim, A.; Almahdawi, F.
Source: Self-asserted source
Faleh H.M. Almahdawi via Scopus - Elsevier

Real-time pore pressure prediction in depleted reservoirs using regression analysis and artificial neural networks

SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings
2019 | Conference paper
EID:

2-s2.0-85063797940
Contributors: Hadi, F.; Eckert, A.; Almahdawi, F.
Source: Self-asserted source
Faleh H.M. Almahdawi via Scopus - Elsevier

Peer review (5 reviews for 4 publications/grants)

Review activity for Chemical papers. (1)
Review activity for ChemickeĢ zvesti. (2)
Review activity for Journal of Petroleum and Mining Engineering (1)
Review activity for Petroleum science and technology. (1)
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