Author

Abo Taleb T. Al-Hameedi

Missouri University of Science and Technology - Cited by 1,042 - Drilling & Completion - Wellbore Constructions - Geomechanics - Hydraulic Fracturing - Data Analytics

Biography

Dr. Abo Taleb T. Al-Hameedi is a drilling professional with over 10 years of broad experience in Drilling Engineering & Drilling Operations in various companies. Experienced and research publications (80+ papers published in different conferences and journals) related to Data Analytics, Machine Learning, Drilling and Completion Fluids, Drilling Engineering & Drilling Operations, Drilling Optimization, Rock Mechanics, Petroleum Economics and Asset Evaluation, Well Stimulation, Statistical Methods in Geology and Engineering, and Environmental Petroleum Applications. With excellent management, strong leadership and research experience, strong communication skills, technical skills, and soft skills.
Title
Cited by
Year
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, 2020202
57
2020
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, 2019201
53
2019
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, 2020202
27
2020
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, 2019201
17
2019
Application of artificial neural networks in the drilling processes: Can equivalent circulation density be estimated prior to drilling?
HH Alkinani, ATT Al-Hameedi, S Dunn-Norman, D LianEgyptian Journal of Petroleum 29 (2), 121-126, 2020202
17
2020
Proposing a new biodegradable thinner and fluid loss control agent for water-based drilling fluid applications
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, MM Alkhamis, ...International Journal of Environmental Science and Technology 17, 3621-3632, 2020202
16
2020
Examination of the relationship between rate of penetration and mud weight based on unconfined compressive strength of the rock
HH Alkinani, ATT Al-Hameedi, S Dunn-Norman, RE Flori, SA Hilgedick, ...Journal of King Saud University-Science 31 (4), 966-972, 2019201
14
2019
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, 2019201
14
2019
14
2020
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-NormanJournal of Petroleum Exploration and Production Technology 10, 3467-3481, 2020202
13
2020
Laboratory study of environmentally friendly drilling fluid additives banana peel powder for modifying the drilling fluid characteristics in water-based muds
ATT Al-Hameedi, HH Alkinani, S Dunn-Norman, E Salem, ...International Petroleum Technology Conference, D022S3R002, 2020202
12
2020
Proposing a new eco-friendly drilling fluid additive to enhance the filtration properties of water-based drilling fluid systems
AT Al-Hameedi, HH Alkinani, S Dunn-Norman, MA Al-Alwani, ...SPE Gas & Oil Technology Showcase and Conference, D022S029R002, 2019201
11
2019
Dynamic neural network model to predict the rate of penetration prior to drilling
HH Alkinani, AT Al-Hameedi, S Dunn-Norman, RE Flori, MA Al-Alwani, ...ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2019-0509, 2019201
11
2019
Data-driven recurrent neural network model to predict the rate of penetration: Upstream Oil and Gas Technology
HH Alkinani, ATT Al-Hameedi, S Dunn-NormanUpstream Oil and Gas Technology 7, 100047, 2021202
11
2021
State-of-the-art review of lost circulation materials and treatments—part i: general trends and uses
HH Alkinani, AT Al-Hameedi, S Dunn-Norman, MA Al-Alwani, RA Mutar, ...Abu Dhabi International Petroleum Exhibition and Conference, D041S106R004, 2019201
11
2019
Insights into the applications of waste materials in the oil and gas industry: State of the art review, availability, cost analysis, and classification
ATT Al-Hameedi, HH Alkinani, HW Albazzaz, S Dunn-Norman, ...Journal of Petroleum Exploration and Production Technology , 2137-2151, 2020202
10
2020
Review of Stimulation and Completion Activities and Trends in the United States Shale Plays: Permian Basin Case Study
MA Al-Alwani, L Britt, S Dunn-Norman, HH Alkinani, AT Al-Hameedi, ...ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2019-2003, 2019201
10
2019
Data–driven decision–making for lost circulation treatments: a machine learning approach
HH Alkinani, ATT Al-Hameedi, S Dunn-NormanEnergy and AI 2, 100031, 2020202
8
2020
State-of-the-Art Review of Lost Circulation Materials and Treatments–Part II: Probability and Cost Analyses
HH Alkinani, ATT Al-Hameedi, S Dunn-Norman, WH Al-BazzazInternational Petroleum Technology Conference, D031S064R001, 2020202
8
2020
From Data Collection to Data Analytics: How to Successfully Extract Useful Information from Big Data in the Oil & Gas Industry?
MA Al-Alwani, LK Britt, S Dunn-Norman, HH Alkinani, AT Al-Hameedi, ...SPE Asia Pacific Oil and Gas Conference and Exhibition, D011S002R004, 2020202
7
2020