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I. Dubdub, S. Rushd, M. Al-Yaari & E. Ahmed. (2022) Application of ANN to the water-lubricated flow of non-conventional crude. Chemical Engineering Communications 209:1, pages 47-61.
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Raihan Choudhury, Dr. Muhammad Tauseef Nasir, Dr. Rashed Kaiser, Ravi Ghimire, Dr. Aliyu Aliyu, Dr. Behnaz SohaniDr. John AtanboriDr. Ranjana RathaurDr. Rakesh Mishra. (2023) Uncovering the Effect of Physical Conditions and Surface Roughness on the Maximum Spreading Factor of Impinging Droplets Using a Supervised Artificial Neural Network Model. Industrial & Engineering Chemistry Research.
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Chuanyu Fang, Fuqiang Liu, Jinhu Yang, Shaolin Wang, Cunxi Liu, Yong Mu, Gang Xu, Junqiang Zhu & Yushuai Liu. (2023) Predicting the Sauter Mean Diameter of Swirl Cup Airblast Fuel Injector Based on Backpropagation (BP) Neural Network Model. ACS Omega 8:43, pages 40162-40173.
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Syed Amjad Ahmed & Bibin John. (2023) Prediction of pressure gradient and hold-up in horizontal liquid-liquid pipe flow. Petroleum Science.
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Aliyu M. Aliyu, Raihan Choudhury, Behnaz Sohani, John Atanbori, Joseph X.F. Ribeiro, Salem K.Brini Ahmed & Rakesh Mishra. (2023) An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes. International Journal of Multiphase Flow 164, pages 104452.
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Md Ferdous Wahid, Reza Tafreshi, Zurwa Khan & Albertus Retnanto. (2023) A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns. Heliyon 9:4, pages e14977.
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Ibrahim Dubdub. (2023) Artificial Neural Network Study on the Pyrolysis of Polypropylene with a Sensitivity Analysis. Polymers 15:3, pages 494.
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Ibrahim Dubdub & Zaid Alhulaybi. (2022) Catalytic Pyrolysis of PET Polymer Using Nonisothermal Thermogravimetric Analysis Data: Kinetics and Artificial Neural Networks Studies. Polymers 15:1, pages 70.
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Nehad M. Ibrahim, Ali A. Alharbi, Turki A. Alzahrani, Abdullah M. Abdulkarim, Ibrahim A. Alessa, Abdullah M. Hameed, Abdullaziz S. Albabtain, Deemah A. Alqahtani, Mohammad K. Alsawwaf & Abdullah A. Almuqhim. (2022) Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production. Sensors 22:14, pages 5326.
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Ibrahim Dubdub. (2022) Pyrolysis Study of Mixed Polymers for Non-Isothermal TGA: Artificial Neural Networks Application. Polymers 14:13, pages 2638.
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Md Ferdous Wahid, Reza Tafreshi, Zurwa Khan & Albertus Retnanto. (2022) Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms. Journal of Petroleum Science and Engineering 208, pages 109265.
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Tarek GanatMeftah HrairiRaoof Gholami, Taha Abouargub & Eghbal Motaei. (2021) Experimental Investigation of Oil-Water Two-Phase Flow in Horizontal, Inclined, and Vertical Large-Diameter Pipes: Determination of Flow Patterns, Holdup, and Pressure Drop. SPE Production & Operations 36:04, pages 946-961.
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Ibrahim Dubdub & Mohammed Al-Yaari. (2021) Pyrolysis of Mixed Plastic Waste: II. Artificial Neural Networks Prediction and Sensitivity Analysis. Applied Sciences 11:18, pages 8456.
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Ghassan H. Abdul-Majeed, Yousif Al-Dunainawi, Gabriel Soto-Cortes & Jalal Abdulwahid Al-Sudani. (2020) Neural Network Model To Predict Slug Frequency of Low-Viscosity Two-Phase Flow. SPE Journal 26:03, pages 1290-1301.
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Mohammed Al-Yaari & Ibrahim Dubdub. (2020) Application of Artificial Neural Networks to Predict the Catalytic Pyrolysis of HDPE Using Non-Isothermal TGA Data. Polymers 12:8, pages 1813.
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Rashed Kaiser, Songkil Kim & Donggeun Lee. (2020) Deep data analysis for aspiration pressure estimation in a high-pressure gas atomization process using an artificial neural network. Chemical Engineering and Processing - Process Intensification 153, pages 107924.
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Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Menad Nait Amar & Sassan Hajirezaie. 2020. Applications of Artificial Intelligence Techniques in the Petroleum Industry. Applications of Artificial Intelligence Techniques in the Petroleum Industry
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Weidong Dang, Zhongke Gao, Linhua Hou, Dongmei Lv, Shuming Qiu & Guanrong Chen. (2019) A Novel Deep Learning Framework for Industrial Multiphase Flow Characterization. IEEE Transactions on Industrial Informatics 15:11, pages 5954-5962.
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Mehaboob Basha, S. M. Shaahid & Luai M. Al-Hems. (2018) Effect of Water Cut on Pressure Drop of Oil (D130) -Water Flow in 4″Horizontal Pipe. IOP Conference Series: Materials Science and Engineering 326, pages 012002.
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Jian Xiao, Xiaoping Luo, Zhenfei Feng & Jinxin Zhang. (2018) Using artificial intelligence to improve identification of nanofluid gas–liquid two-phase flow pattern in mini-channel. AIP Advances 8:1.
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Mujahid O. Elobeid, Luai M. Alhems, Abdelsalam Al-Sarkhi, Aftab Ahmad, Syed M. Shaahid, Mehaboob Basha, J.J. Xiao, Rafael Lastra & Chidirim E. Ejim. (2016) Effect of inclination and water cut on venturi pressure drop measurements for oil-water flow experiments. Journal of Petroleum Science and Engineering 147, pages 636-646.
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Sadra Azizi, Mohamed M. Awad & Ebrahim Ahmadloo. (2016) Prediction of water holdup in vertical and inclined oil–water two-phase flow using artificial neural network. International Journal of Multiphase Flow 80, pages 181-187.
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Mohamad A. Halali, Vahid Azari, Milad Arabloo, Amir H. Mohammadi & Alireza Bahadori. (2016) Application of a radial basis function neural network to estimate pressure gradient in water–oil pipelines. Journal of the Taiwan Institute of Chemical Engineers 58, pages 189-202.
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