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Hussein Mustapha
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Proceedings Papers

Domain Driven Methodology Adopting Generative AI Application in Oil and Gas Drilling Sector

Daria Ponomareva, Nour El Droubi, Obeida El Jundi, Georges Assaf, Hussein Mustapha, Zainab Al Kindi
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221883-MS
https://doi.org/10.2118/221883-MS
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View Paper titled, Domain Driven Methodology Adopting Generative AI Application in Oil and Gas Drilling Sector
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Proceedings Papers

Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks

Mujeeb Oke, Hesham Hasan, Hiren Maniar, Georges Assaf, Tao Zhao, Aria Abubakar, Houcine Ben Jeddou, Chakib Kada Kloucha, Hussein Mustapha
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222977-MS
https://doi.org/10.2118/222977-MS
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View Paper titled, Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks
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Proceedings Papers

Novel Approach for Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling and Automated Pore Network Characterization

Nader Gerges, Luisa Ana Barillas Cortez, Midhun Madhavan, Sushmitha Kuruba, Lulwa Almarzooqi, Gennady Makarychev, Alaa Maarouf, Christophe Darous, Hussein Mustapha, Chakib Kada Kloucha
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0086
https://doi.org/10.30632/SPWLA-2023-0086
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View Paper titled, Novel Approach for Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling and Automated Pore Network Characterization
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Proceedings Papers

A Comparative Study for Deep-Learning-Based Methods for Automated Reservoir Simulation

Alaa Maarouf, Sofiane Tahir, Shi Su, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, January 24–26, 2023
Paper Number: SPE-212594-MS
https://doi.org/10.2118/212594-MS
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View Paper titled, A Comparative Study for Deep-Learning-Based Methods for Automated Reservoir Simulation
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Proceedings Papers

Novel Approach for Automated Pore Network Characterization and Machine Learning Assisted Capillary Pressure Modeling for an Improved Water Saturation Modelling in Carbonate Reservoirs

Nader Gerges, Gennady Makarychev, Luisa Ana Barillas, Christophe Darous, Alaa Maarouf, Midhun Madhavan, Sushmitha Kuruba, Lulwa Almarzooqi, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, January 24–26, 2023
Paper Number: SPE-212612-MS
https://doi.org/10.2118/212612-MS
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View Paper titled, Novel Approach for Automated Pore Network Characterization and Machine Learning Assisted Capillary Pressure Modeling for an Improved Water Saturation Modelling in Carbonate Reservoirs
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Proceedings Papers

Vertical Composition Variation with Multiple Samples for Reservoir Model Initialization

Nour El Droubi, Sofiane Tahir, Kassem Ghorayeb, Shi Su, Georges Assaf, Samat Ramatullayev, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, January 24–26, 2023
Paper Number: SPE-212643-MS
https://doi.org/10.2118/212643-MS
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View Paper titled, Vertical Composition Variation with Multiple Samples for Reservoir Model Initialization
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Proceedings Papers

An Integrated Solution for Reservoir Model Initialization with Areal and Vertical Composition Variation in the Presence of Tilted Contacts

Kassem Ghorayeb, Sofiane Tahir, Shi Su, Nour El-Droubi, Georges Assaf, Samat Ramatullayev, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211405-MS
https://doi.org/10.2118/211405-MS
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View Paper titled, An Integrated Solution for Reservoir Model Initialization with Areal and Vertical Composition Variation in the Presence of Tilted Contacts
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Proceedings Papers

Machine-Learning-Based Automation of Formation Testing Data Interpretation and Analysis

Samat Ramatullayev, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211383-MS
https://doi.org/10.2118/211383-MS
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View Paper titled, Machine-Learning-Based Automation of Formation Testing Data Interpretation and Analysis
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Proceedings Papers

Multidisciplinary Data Integration for Artificial-Intelligence-Assisted Well Placement and Trajectory Design Optimization Under Uncertainty

Shi Su, Sofiane Tahir, Kassem Ghorayeb, Samat Ramatullayev, Xavier Garcia-Teijeiro, Assef Mohamad Hussein, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211367-MS
https://doi.org/10.2118/211367-MS
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View Paper titled, Multidisciplinary Data Integration for Artificial-Intelligence-Assisted Well Placement and Trajectory Design Optimization Under Uncertainty
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Proceedings Papers

Machine Learning Based Prediction of PVT Fluid Properties for Gas Injection Laboratory Data

Kassem Ghorayeb, Kristian Mogensen, Nour El Droubi, Samat Ramatullayev, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211080-MS
https://doi.org/10.2118/211080-MS
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View Paper titled, Machine Learning Based Prediction of PVT Fluid Properties for Gas Injection Laboratory Data
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Proceedings Papers

Deep-Learning-Based Surrogate Reservoir Model for History-Matching Optimization

Alaa Maarouf, Sofiane Tahir, Shi Su, Samat Ramatullayev, Coriolan Rat, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211061-MS
https://doi.org/10.2118/211061-MS
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View Paper titled, Deep-Learning-Based Surrogate Reservoir Model for History-Matching Optimization
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Proceedings Papers

Machine-Learning-Assisted Well-Log Data Quality Control and Preprocessing Lab

Nader Gerges, Gennady Makarychev, Luisa Ana Barillas, Alaa Maarouf, Midhun Madhavan, Sonal Gore, Lulwa Almarzooqi, Sylvain Wlodarczyk, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211719-MS
https://doi.org/10.2118/211719-MS
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View Paper titled, Machine-Learning-Assisted Well-Log Data Quality Control and Preprocessing Lab
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Proceedings Papers

Machine Learning Model for Drilling Equipment Recommender System for Improved Decision Making and Optimum Performance

Chakib K. Kloucha, Bassem S. El Yossef, Imad Al Hamlawi, Muzahidin M Salim, Wiliem Pausin, Anik Pal, Hussein Mustapha, Soumil Shah, Ahmad Naim Hussein
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211731-MS
https://doi.org/10.2118/211731-MS
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View Paper titled, Machine Learning Model for Drilling Equipment Recommender System for Improved Decision Making and Optimum Performance
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Proceedings Papers

Integration of Deep-Learning-Based Flash Calculation Model to Reservoir Simulator

Kassem Ghorayeb, Kristian Mogensen, Nour El Droubi, Chakib Kada Kloucha, Samat Ramatullayev, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211352-MS
https://doi.org/10.2118/211352-MS
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View Paper titled, Integration of Deep-Learning-Based Flash Calculation Model to Reservoir Simulator
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Proceedings Papers

Horizontal Well Calibration Using Zone Log Matching and Machine Learning

Hesham Hasan, Humberto Parra, Arshia Gerami, Manish Kumar Singh, Obeida El Jundi, Slobodan Stojic, Houcine Ben Jeddou, Tarik Gacem, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211663-MS
https://doi.org/10.2118/211663-MS
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View Paper titled, Horizontal Well Calibration Using Zone Log Matching and Machine Learning
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Proceedings Papers

Using Machine Learning to Capture High-Permeability Streaks in Reservoir Models

Manish Kumar Singh, Humberto Parra, Obeida El Jundi, Houcine Ben Jeddou, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211661-MS
https://doi.org/10.2118/211661-MS
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View Paper titled, Using Machine Learning to Capture High-Permeability Streaks in Reservoir Models
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Proceedings Papers

A Workflow to Analyze Vertical Formation Heterogeneity and Optimum Geological Grid Layering Using Petrophysical Logs

Nader Gerges, Gennady Makarychev, Alaa Maarouf, Luisa Ana Barillas, Midhun Madhavan, Sonal Gore, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211695-MS
https://doi.org/10.2118/211695-MS
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View Paper titled, A Workflow to Analyze Vertical Formation Heterogeneity and Optimum Geological Grid Layering Using Petrophysical Logs
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Proceedings Papers

The Intelligent Field Development Plan Through Integrated Cloud Computing and Artificial Intelligence AI Solutions

Samat Ramatullayev, Shi Su, Coriolan Rat, Alaa Maarouf, Monica Mihai, Hussein Mustapha, Yanfidra Djanuar, Qingfeng Huang, Lamia Rouis
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208106-MS
https://doi.org/10.2118/208106-MS
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View Paper titled, The Intelligent Field Development Plan Through Integrated Cloud Computing and Artificial Intelligence AI Solutions
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Proceedings Papers

Integrated Subsurface Study for Gas-Oil Communicating Reservoirs: From Structural Synthesis to Optimum Co-FDP

Mohamad Yousef Alklih, Andi Ahmad Salahuddin, Karem Alejandra Khan, Nidhal Mohamed Aljneibi, Coriolan Rat, Samat Ramatullayev, Shi Su, Adelis Alfonzo, Hussein Mustapha, Monica Mihai
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208044-MS
https://doi.org/10.2118/208044-MS
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View Paper titled, Integrated Subsurface Study for Gas-Oil Communicating Reservoirs: From Structural Synthesis to Optimum Co-FDP
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Proceedings Papers

Fault-Guided Seismic Stratigraphy Interpretation via Semi-Supervised Learning

Haibin Di, Chakib Kada Kloucha, Cen Li, Aria Abubakar, Zhun Li, Houcine Ben Jeddou, Hussein Mustapha
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207218-MS
https://doi.org/10.2118/207218-MS
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View Paper titled, Fault-Guided Seismic Stratigraphy Interpretation via Semi-Supervised Learning
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