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Dr. Abo Taleb Al-Hameedi
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Applications of artificial neural networks in the petroleum industry: a review
HH Alkinani, AT Al-Hameedi, S Dunn-Norman, RE Flori, MT Alsaba, ...
SPE middle east oil and gas show and conference, D032S063R002, 2019
1012019
Experimental investigation of environmentally friendly drilling fluid additives (mandarin peels powder) to substitute the conventional chemicals used in water-based drilling fluid
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, MA Al-Alwani, ...
Journal of Petroleum Exploration and Production Technology 10, 407-417, 2020
682020
Insights into the application of new eco-friendly drilling fluid additive to improve the fluid properties in water-based drilling fluid systems
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, MA Al-Alwani, ...
Journal of Petroleum Science and Engineering 183, 106424, 2019
672019
Updated classification of lost circulation treatments and materials with an integrated analysis and their applications
HH Alkinani, AT Al-Hameedi, RE Flori, S Dunn-Norman, SA Hilgedick, ...
SPE Western Regional Meeting, D031S003R005, 2018
542018
Using data mining to stop or mitigate lost circulation
HH Alkinani, ATT Al-Hameedi, S Dunn-Norman, RE Flori, MT Alsaba, ...
Journal of Petroleum Science and Engineering 173, 1097-1108, 2019
502019
Limiting Drilling Parameters to Control Mud Losses in the Dammam Formation, South Rumaila Field, Iraq
AT Al-Hameedi, S Dunn-Norman, HH Alkinani, RE Flori, SA Hilgedick
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2017-0930, 2017
502017
Environmental friendly drilling fluid additives: can food waste products be used as thinners and fluid loss control agents for drilling fluid?
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, NA Alashwak, ...
SPE Asia Pacific Health, Safety, Security, Environment and Social …, 2019
422019
Prediction of lost circulation prior to drilling for induced fractures formations using artificial neural networks
HH Alkinani, AT Al-Hameedi, S Dunn-Norman, MM Alkhamis, RA Mutar
SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2019
342019
Using machine learning to predict lost circulation in the Rumaila field, Iraq
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, RE Flori, SA Hilgedick, ...
SPE Asia Pacific Oil and Gas Conference and Exhibition, D031S027R003, 2018
342018
Experimental investigation of bio-enhancer drilling fluid additive: Can palm tree leaves be utilized as a supportive eco-friendly additive in water-based drilling fluid system?
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, MA Al-Alwani, ...
Journal of Petroleum Exploration and Production Technology 10, 595-603, 2020
322020
Experimental investigation of bio-degradable environmental friendly drilling fluid additives generated from waste
MT Al-Saba, KW Amadi, KO Al-Hadramy, MF Dushaishi, A Al-Hameedi, ...
SPE International Conference and Exhibition on Health, Safety, Environment …, 2018
322018
Mud loss estimation using machine learning approach
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, RE Flori, SA Hilgedick, ...
Journal of Petroleum Exploration and Production Technology 9, 1339-1354, 2019
292019
Evaluation of environmentally friendly drilling fluid additives in water-based drilling mud
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, NA Alashwak, ...
SPE Europec featured at EAGE Conference and Exhibition?, D021S003R006, 2019
282019
Insights into eco-friendly and conventional drilling additives: applications, cost analysis, health, safety, and environmental considerations
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, HW Albazzaz, ...
SPE Asia Pacific Health, Safety, Security, Environment and Social …, 2019
272019
Real-time lost circulation estimation and mitigation
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, RE Flori, SA Hilgedick
Egyptian journal of petroleum 27 (4), 1227-1234, 2018
242018
Predictive Data Mining Techniques for Mud Losses Mitigation
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, RE Flori, SA Hilgedick, ...
SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2018
232018
Production performance estimation from stimulation and completion parameters using machine learning approach in the Marcellus Shale
MA Al-Alwani, L Britt, S Dunn-Norman, HH Alkinani, AT Al-Hameedi, ...
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2019-2034, 2019
222019
Utilizing a new eco-friendly drilling mud additive generated from wastes to minimize the use of the conventional chemical additives
ATT Al-Hameedi, HH Alkinani, MM Alkhamis, S Dunn-Norman
Journal of Petroleum Exploration and Production Technology 10, 3467-3481, 2020
202020
Data-driven neural network model to predict equivalent circulation density ECD
HH Alkinani, AT Al-Hameedi, S Dunn-Norman, MA Al-Alwani, RA Mutar, ...
SPE Gas & Oil Technology Showcase and Conference, D021S010R001, 2019
202019
Limiting key drilling parameters to avoid or mitigate mud losses in the hartha formation, Rumaila field
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, RE Flori, SA Hilgedick, ...
Iraq J Pet Environ Biotechnol 8, 345, 2017
202017
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