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Proceedings Papers

Prediction of Cutting Concentration in Horizontal and Deviated Wells Using Support Vector Machine

Khaled Al-Azani, Salaheldin Elkatatny, Abdulaziz Abdulraheem, Mohamed Mahmoud, Abdulwahab Ali
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192193-MS
DOI: https://doi.org/10.2118/192193-MS
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View Paper titled, Prediction of Cutting Concentration in Horizontal and Deviated Wells Using Support Vector Machine
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Proceedings Papers

An Automated Flowing Bottom-Hole Pressure Prediction for a Vertical Well Having Multiphase Flow Using Computational Intelligence Techniques

Zeeshan Tariq
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192184-MS
DOI: https://doi.org/10.2118/192184-MS
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View Paper titled, An Automated Flowing Bottom-Hole Pressure Prediction for a Vertical Well Having Multiphase Flow Using Computational Intelligence Techniques
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Proceedings Papers

Prediction of Inflow Performance Relationship of a Gas Field Using Artificial Intelligence Techniques

Ala S. AL-Dogail, Salem O. Baarimah, Salem A. Basfar
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192273-MS
DOI: https://doi.org/10.2118/192273-MS
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View Paper titled, Prediction of Inflow Performance Relationship of a Gas Field Using Artificial Intelligence Techniques
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Proceedings Papers

Predicting Rate of Penetration Using Artificial Intelligence Techniques

Ahmad Al-AbdulJabbar, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192343-MS
DOI: https://doi.org/10.2118/192343-MS
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Proceedings Papers

Comparing 5-Different Artificial Intelligence Techniques to Predict Z-factor

Adel Salem, A.. Elgibaly, M.. Attia, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192354-MS
DOI: https://doi.org/10.2118/192354-MS
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View Paper titled, Comparing 5-Different Artificial Intelligence Techniques to Predict Z-factor
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Proceedings Papers

Prediction of Optimum Injection Rate for Carbonate Acidizing Using Machine Learning

Ziad Sidaoui, Abdulazeez Abdulraheem, Mustapha Abbad
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192344-MS
DOI: https://doi.org/10.2118/192344-MS
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View Paper titled, Prediction of Optimum Injection Rate for Carbonate Acidizing Using Machine Learning
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Proceedings Papers

Utilizing Artificial Intelligence Techniques for Predicting Rock Failure Parameters

Ardiansyah Negara, Syed Ali, Ali AlDhamen, Hasan Kesserwan, Asok Nair, Zahra Aleid
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192340-MS
DOI: https://doi.org/10.2118/192340-MS
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View Paper titled, Utilizing Artificial Intelligence Techniques for Predicting Rock Failure Parameters
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Proceedings Papers

New Technique to Estimate Temperature Distribution During Thermal EOR Operations

Amjed Hassan, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem, Enamul Hossain
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192350-MS
DOI: https://doi.org/10.2118/192350-MS
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View Paper titled, New Technique to Estimate Temperature Distribution During Thermal EOR Operations
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Proceedings Papers

Predicting Formation Tops while Drilling Using Artificial Intelligence

Ahmad Al-AbdulJabbar, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192345-MS
DOI: https://doi.org/10.2118/192345-MS
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View Paper titled, Predicting Formation Tops while Drilling Using Artificial Intelligence
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Proceedings Papers

Intelligent Prediction of Acid-fracturing Performance in Carbonates Reservoirs

Mohammed Eliebid, Amjed M. Hassan, Mohamed Mahmoud, Abdulazeez Abdulraheem, Salaheldin Elkatatny
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192356-MS
DOI: https://doi.org/10.2118/192356-MS
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View Paper titled, Intelligent Prediction of Acid-fracturing Performance in Carbonates Reservoirs
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Proceedings Papers

Utilizing State of the Art Computational Intelligence to Estimate Oil Flow Rate in Artificial Lift Wells

Mohammad Rasheed Khan, Zeeshan Tariq, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192321-MS
DOI: https://doi.org/10.2118/192321-MS
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View Paper titled, Utilizing State of the Art Computational Intelligence to Estimate Oil Flow Rate in Artificial Lift Wells
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Proceedings Papers

Prediction of Rate of Penetration of Deep and Tight Formation Using Support Vector Machine

Ahmed S Abdulmalek, Elkatatny Salaheldin, Abdulraheem Abdulazeez, Mahmoud Mohammed, Z. Ali Abdulwahab, I. M. Mohamed
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192316-MS
DOI: https://doi.org/10.2118/192316-MS
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View Paper titled, Prediction of Rate of Penetration of Deep and Tight Formation Using Support Vector Machine
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Proceedings Papers

New Approach to Predict Fracture Pressure Using Functional Networks

Ahmed S Abdulmalek, Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, Abdulwahab Z. Ali, I. M. Mohamed
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192317-MS
DOI: https://doi.org/10.2118/192317-MS
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View Paper titled, New Approach to Predict Fracture Pressure Using Functional Networks
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Proceedings Papers

Machine Learning Derived Correlation to Determine Water Saturation in Complex Lithologies

Mohammad Rasheed Khan, Zeeshan Tariq, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192307-MS
DOI: https://doi.org/10.2118/192307-MS
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View Paper titled, Machine Learning Derived Correlation to Determine Water Saturation in Complex Lithologies
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Proceedings Papers

Pore Pressure Prediction While Drilling Using Fuzzy Logic

Ahmed S Abdulmalek, Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, Z. Ali Abdulwahab, I. M. Mohamed
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192318-MS
DOI: https://doi.org/10.2118/192318-MS
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View Paper titled, Pore Pressure Prediction While Drilling Using Fuzzy Logic
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Proceedings Papers

A New Approach to Characterize CO 2 Flooding Utilizing Artificial Intelligence Techniques

Amjed Hassan, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192252-MS
DOI: https://doi.org/10.2118/192252-MS
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View Paper titled, A New Approach to Characterize CO 2 Flooding Utilizing Artificial Intelligence Techniques
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Proceedings Papers

Machine Learning and Natural Language Processing for Automated Analysis of Drilling and Completion Data

David Castiñeira, Robert Toronyi, Nansen Saleri
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192280-MS
DOI: https://doi.org/10.2118/192280-MS
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View Paper titled, Machine Learning and Natural Language Processing for Automated Analysis of Drilling and Completion Data
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Proceedings Papers

Development and Application of an Artificial-Neural-Network Based Expert System for Screening and Optimization of Polymer Flooding Projects

Qian Sun, Turgay Ertekin
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192236-MS
DOI: https://doi.org/10.2118/192236-MS
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View Paper titled, Development and Application of an Artificial-Neural-Network Based Expert System for Screening and Optimization of Polymer Flooding Projects
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Proceedings Papers

An Intelligent Functional Network Approach to Develop Mathematical Model to Predict Sonic Waves Travel Time for Carbonate Rocks

Zeeshan Tariq
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192246-MS
DOI: https://doi.org/10.2118/192246-MS
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View Paper titled, An Intelligent Functional Network Approach to Develop Mathematical Model to Predict Sonic Waves Travel Time for Carbonate Rocks
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Proceedings Papers

New Technology to Evaluate Equivalent Circulating Density While Drilling Using Artificial Intelligence

Mahmoud Elzenary, Salaheldin Elkatatny, Khaled Z. Abdelgawad, Abdulazeez Abdulraheem, Mohamed Mahmoud, Dhafer Al-Shehri
Paper presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, April 23–26, 2018
Paper Number: SPE-192282-MS
DOI: https://doi.org/10.2118/192282-MS
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View Paper titled, New Technology to Evaluate Equivalent Circulating Density While Drilling Using Artificial Intelligence
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