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Ahmed K. Abbas
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A comprehensive review of nanoparticles applications in the oil and gas industry
MT Alsaba, MF Al Dushaishi, AK Abbas
Journal of Petroleum Exploration and Production Technology 10 (4), 1389-1399, 2020
1442020
Intelligent decisions to stop or mitigate lost circulation based on machine learning
AK Abbas, AA Bashikh, H Abbas, HQ Mohammed
Energy 183, 1104-1113, 2019
712019
Implementing artificial neural networks and support vector machines to predict lost circulation
AK Abbas, NA Al-haideri, AA Bashikh
Egyptian Journal of Petroleum 28 (4), 339-347, 2019
622019
Drilling rate of penetration prediction of high-angled wells using artificial neural networks
AK Abbas, S Rushdi, M Alsaba, MF Al Dushaishi
Journal of Energy Resources Technology 141 (11), 112904, 2019
582019
Estimating rock mechanical properties of the Zubair shale formation using a sonic wireline log and core analysis
AK Abbas, RE Flori, M Alsaba
Journal of Natural Gas Science and Engineering 53, 359-369, 2018
462018
Modeling rate of penetration for deviated wells using artificial neural network
AK Abbas, S Rushdi, M Alsaba
Abu Dhabi International Petroleum Exhibition and Conference, D021S030R001, 2018
452018
Wellbore instability analysis for Nahr Umr Formation in southern Iraq
HQ Mohammed, AK Abbas, HH Dahm
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2018-916, 2018
432018
Integrated approach using core analysis and wireline measurement to estimate rock mechanical properties of the Zubair Reservoir, Southern Iraq
AK Abbas, RE Flori, M Alsaba, H Dahm, EHK Alkamil
Journal of Petroleum Science and Engineering 166, 406-419, 2018
422018
Intelligent prediction of stuck pipe remediation using machine learning algorithms
AK Abbas, R Flori, H Almubarak, J Dawood, H Abbas, A Alsaedi
SPE Annual Technical Conference and Exhibition?, D012S067R002, 2019
332019
Development of a geomechanical model for drilling deviated wells through the Zubair formation in Southern Iraq
AK Abbas, YM Al-Asadi, M Alsaba, RE Flori, S Alhussainy
SPE/IADC Middle east drilling technology conference and exhibition, D021S005R004, 2018
282018
Stability Analysis of Highly Deviated Boreholes to Minimize Drilling Risks and Nonproductive Time
AK Abbas, RE Flori, M Alsaba
Journal of Energy Resources Technology 141 (8), 2019
262019
Predicting the amount of lost circulation while drilling using artificial neural networks: An example of Southern Iraq oil fields
AK Abbas, HM Hamed, W Al-Bazzaz, H Abbas
SPE Gas & Oil Technology Showcase and Conference, D021S010R002, 2019
252019
Improving drilling performance through optimizing controllable drilling parameters
A Bani Mustafa, AK Abbas, M Alsaba, M Alameen
Journal of Petroleum Exploration and Production 11, 1223-1232, 2021
242021
Wellbore Trajectory Optimization Using Rate of Penetration and Wellbore Stability Analysis
AK Abbas, U Alameedy, RE Flori, M Alsaba, SA Rushdi
SPE International Heavy Oil Conference and Exhibition, 2018
232018
Drill bit selection optimization based on rate of penetration: application of artificial neural networks and genetic algorithms
AK Abbas, AH Assi, H Abbas, H Almubarak, M Al Saba
Abu Dhabi International Petroleum Exhibition and Conference, D032S207R002, 2019
212019
Experimental investigation of cuttings transport with nanocomposite water-based drilling fluids modified by cellulose nanoparticles
AK Abbas
Colloids and Surfaces A: Physicochemical and Engineering Aspects 615, 126240, 2021
202021
Laboratory analysis to assess shale stability for the Zubair Formation, Southern Iraq
AK Abbas, RE Flori, ALA Ahmed, M Alsaba
Journal of Natural Gas Science and Engineering 56, 315-323, 2018
202018
Improving hole cleaning in horizontal wells by using nanocomposite water-based mud
AK Abbas, MT Alsaba, MF Al Dushaishi
Journal of Petroleum Science and Engineering 203, 108619, 2021
172021
Laboratory evaluation to assess the effectiveness of inhibitive nano-water-based drilling fluids for Zubair shale formation
M Alsaba, A Al Marshad, A Abbas, T Abdulkareem, A Al-Shammary, ...
Journal of Petroleum Exploration and Production Technology 10, 419-428, 2020
172020
Application of machine learning approach for intelligent prediction of pipe sticking
AK Abbas, H Almubarak, H Abbas, J Dawood
Abu Dhabi International Petroleum Exhibition and Conference, D022S175R001, 2019
172019
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Articles 1–20