M Helmy Sayyouh
Professor of Petroleum Engineering
(email)
Publications
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2019
Shokry, A., A.El-Banby, and M.H.Sayyouh,
"
"Modeling asphaltene precipitation with solvent injection using cubic -PR solid model"
",
J. Petroleum Science and Technology
, 2019.
modeling_of_asphaltene.pdf
Abdulaziz, A., M. Hammeda, and M. H. Sayyouh,
"
Prediction of reservoir quality using well logs and seismic attributes analysis with artificial neural network
",
APPGEO
, vol. 161, 2019.
reservoir_quality.pdf
Tayeb, E. M., A. E. M. Ela, E. A. banbi, and H. M. Sayyouh,
"
Development of an analytical model for performance prediction of Chemical EOR Methods
",
Oil Gas European Journal
, vol. 24, issue 4-2019, 2019.
o_g_down-loaded_-dec.2019.pdf
A.Shoukry, A.Elbanbi, and M>H>Sayyouh,
"
Enhancing asphaltene precipitation modeling by cubic PR solid model using thermodynamic correlations and averaging technology
",
Petroleum Science
, vol. 377-1, pp. 10, 2019.
final_paper-2.pdf
Shams, M., E. A. banbi, and M. H. Sayyouh,
"
A novel assisted history matching work flow and application on full field reservoir simulator model
",
J.Petroleum Science and Technology
, 2019.
2018
Khatib, O. E. L., A.Elbanbi, Sayyouh, M.H., and S. El-Tayeb,
"
Development of an analytical model to predict Miscible EOR methods
",
MOC
, Egypt, 2018.
predictive_model_for_miscible_process.pdf
M.Fathy, H. Sayyouh, A.Elbanbi, and M.Samir,
"
A reliable tool for steam soak process prediction
",
MOC
, Egypt, 2018.
tool_for_steam_soak_process.pdf
2017
Shams, M., A. El Banbi, and M. H. Sayyouh,
"
A Comparative Study of Experimental Study Techniques in Assisted History Matching
",
SPE International MEOS
, Bahrain, 2017.
history_matching.pdf
M.Shams, A. El Banbi, and M.H.Sayyouh,
"
Sobol and Halton Sequences: Efficient Experimental Design Techniques towards Improved Uncertainty Quantification of Petroleum Reservoirs
",
SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition held in Dammam, Saudi Arabia, 24–27 April 2017.
, 2017.
sobol_and_halton_sequences.docx
M.Shams, A.El-Banbi, and M.H.Sayyouh,
"
A Comparative Study of Proxy Modeling Techniques in Assisted History Matching
",
SPE - SATSE - Dammam - SA
, pp. 16, 2017.
spe-a_comparative_study_of_proxy_modeling_techniques_in_assisted_history_matching.docx
Daoud, A. M., M. A. Salam, A. A. Hashem., and M. H. Sayyouh,
"
Inflow performance relationship correlation for solution gas drive reservoirs using non-parametric regression technique
",
Open Petroleum Engineering Journal
, 2017.
2016
Abdel Khalek, M., A. El Banbi, and M. H. Sayyouh,
"
Flowing Material Balance with Water Influx
",
The Mediterranean Offshore Conference(MOC)
, Alexandria, Egypt, 2016.
flowing_material_balance.pdf
2015
Nageh, M., M. Abu El Ela, and M. H. Sayyouh,
"
Application of Using Fuzzy Logic as an AIT in the Screening Criteria for the EOR Technologies
",
SPE North Africa Tech. Conference and Exhibition
, Cairo, Egypt, 2015.
application_of_using_fuzzy_logic_in_eor.pdf
Sayyouh, M. H.,
"
Oil Recovery Enhancement techniques: Possible Application to Egyptian Oil Fields
",
SPE North Africa Tech. Conference and Exhibition
, Cairo, Egypt, 2015.
oil_enhancement_techniques.ppt
2014
Abu El Ela, M.;, H.; Sayyouh, and S. El Tayeb,
"
An Integrated Approach for the Application of the Enhanced Oil Recovery Projects
",
Journal of Petroleum Science Research (JPSR)
, vol. 3, issue 4, 2014.
an_integrated_approach_for_the_application_of_the_eor__projects_-_jpsr_-2014.pdf
2013
Abu El Ela, M., H. Sayyouh, and S. El Tayeb,
"
CO2 Use Could Boost Egypt’s Western Desert Oil Recovery
",
Oil & Gas Journal
, vol. 111, issue 9, 2013.
co2_use_could_boost_egypts_western_desert_oil_recovery_-_oilgas_j._2013.pdf
2012
Ibrahim, M., A. El-Banbi, S. El-Tayeb, and M. H. Sayyouh,
"
Changing Separator Conditions During Black Oil and Modified Black Oil Simulation Runs
",
SPE 150355, North Africa Tech.Conference and Exhibition
, Cairo, Egypt, 2012.
changing_separator_conditions.pdf
Shehata, A., A. El Banbi, and M. H. Sayyouh,
"
Guidelines to Optimize CO2 EOR in Heterogeneous Reservoirs
",
SPE 151871, North Africa Tech.Conference and Exhibition
, Egypt, 2012.
guidelines_to_optimize_co2_eor.pdf
Morsy, A., M. H. Sayyouh, A. AbdelWally, and A. A. Osman,
"
Modification of Commonly Used Equations for Predicting the Changes in Pressures of Gas Flow in Pipelines
",
Oil Gas European Magazine
, vol. 2, 2012.
modification_of_commenly__used_equations.pdf
Shehata, A., A. El Banbi, and M. H. Sayyouh,
"
Proper Selection of Up-scaling Techniques for Different Production Processes
",
SPE 150863, North Africa Tech.Conference and Exhibition
, Cairo, Egypt, 2012.
proper_selection_of_upscaling_technique.pdf
2011
Azmy, R., A. Daoud, K. AbdelFattah, and M. H. Sayyouh,
"
Fast and Efficient Sesitivity Calculation Using Adjoint Method for 3-Phase Field Scale History Matching
",
SPE Paper-2009 and J.of Petroleum Science and Engineering-2011
, vol. 77, 2011.
fast_and_efficient_sensitivit.pdf
2010
Samir, M., M. Abu El Ela, S. El Marsafy, and M. H. El Tayeb, S. Sayyouh,
"
Investigating the Bio-Corrosion Problem of MEOR in Oil Fields
",
International J. of Applied Chemistry
, vol. 6, issue 2, 2010.
investigating_the_bio-corrosion_problem_of_meor_in_oil_fields_-_int.j_of_applied_chemistry_-_2010.pdf
M.Samir, M. A. E. Ela, S. E. Marsafy, S. E. Tayeb, A.AbdelWaly, and M.H.Sayyouh,
"
New incubation Pseudomonas Aeruginosa bacteria for increasing oil recovery under reservoir conditions
",
North Africa Technical Conference (NATC - 2010)
, Cairo, Egypt, pp. Vol.1, 2010.
2009
El Tayeb, S., M. H. Sayyouh, M.Samir, M. A. E. Ela, and S. E. Marsafy.,
Development of Reservoir Studies for Heavy Oil Fields in Egypt- G & H Blocks-GPC
,
, Cairo, Egypt, DRTPC-PPEC, Cairo University. Report, 2009.
El Tayeb, S., M. H. Sayyouh, M.Samir, M. A. E. Ela, and S. E. Marsafy.,
A Study for Applying Water Flooding Project to Ferdaus Field-NORPETCO Oil Company
,
, Cairo, Egypt, NORPETCO, DRTPC-PPEC, Cairo University. Report, 2009.
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Recent Publications
The Black Gold : Journey and History
Problems and Solutions for Asphaltene Precipitation in High API Oil Reservoirs-Case Histories
Gas Wells Production Forecast Using Artificial and Recurrent Neural Networks Models and Comparison with Traditional Decline Curve Analysis Techniques
Gas Wells Production Forecast Using Artificial and Recurrent Neural Networks Models and Comparison with Traditional Decline Curve Analysis Techniques
Predicting Scale Depositions of Barium and Strontium Sulfates Using Novel Artificial Neural Network Algorithms
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