Citations (31)
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Narjes Nabipour & Alireza Baghban. (2023) Rigorous model for determination of PVT properties of crude oil in operational conditions. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45:3, pages 8879-8885.
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Alireza Cheshmeh Sefidi & Farhad Ajorkaran. (2019) A novel MLP-ANN approach to predict solution gas-oil ratio. Petroleum Science and Technology 37:23, pages 2302-2308.
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P.A. Patil, M.X. Bai, C. Teodoriu & K.M. Reinicke. (2014) Development of PVT Correlations According to Geography. Petroleum Science and Technology 32:8, pages 991-999.
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Articles from other publishers (28)
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Sina Rashidi & Mohammad Khajehesfandeari. (2021) Committee Machine-Ensemble as a General Paradigm for Accurate Prediction of Bubble Point Pressure of Crude Oil. Journal of Energy Resources Technology 143:2.
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Mohammad Islam Miah, Pulok Kanti Deb, Md. Shad Rahman & M. Enamul Hossain. (2017) Application of Memory Concept on Petroleum Reservoir Characterization: A Critical Review. Application of Memory Concept on Petroleum Reservoir Characterization: A Critical Review.
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Munirudeen A. Oloso, Mohamed G. Hassan, James Buick & Mohamed Bader-El-Den. (2016) Oil PVT characterisation using ensemble systems. Oil PVT characterisation using ensemble systems.
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Hillary Okeke & Okotie Sylvester. (2016) Improved Correlation for Predicting Stock Tank Gas-Oil Ratio in Niger Delta. Improved Correlation for Predicting Stock Tank Gas-Oil Ratio in Niger Delta.
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Azad Jarrahian, Jamshid Moghadasi & Ehsan Heidaryan. (2015) Empirical estimating of black oils bubblepoint (saturation) pressure. Journal of Petroleum Science and Engineering 126, pages 69-77.
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Ehsan Ganji-Azad, Shahin Rafiee-Taghanaki, Hojjat Rezaei, Milad Arabloo & Hossein Ali Zamani. (2014) Reservoir fluid PVT properties modeling using Adaptive Neuro-Fuzzy Inference Systems. Journal of Natural Gas Science and Engineering 21, pages 951-961.
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Mohammad-Javad Shojaei, Ershad Bahrami, Pezhman Barati & Siavash Riahi. (2014) Adaptive neuro-fuzzy approach for reservoir oil bubble point pressure estimation. Journal of Natural Gas Science and Engineering 20, pages 214-220.
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Roya Talebi, Mohammad M. Ghiasi, Hossein Talebi, Mehrdad Mohammadyian, Sohrab Zendehboudi, Milad Arabloo & Alireza Bahadori. (2014) Application of soft computing approaches for modeling saturation pressure of reservoir oils. Journal of Natural Gas Science and Engineering 20, pages 8-15.
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Milad Arabloo, Mohammad-Amin Amooie, Abdolhossein Hemmati-Sarapardeh, Mohammad-Hossein Ghazanfari & Amir H. Mohammadi. (2014) Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems. Fluid Phase Equilibria 363, pages 121-130.
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Shahin Rafiee-Taghanaki, Milad Arabloo, Ali Chamkalani, Mahmood Amani, Mohammad Hadi Zargari & Mohammad Reza Adelzadeh. (2013) Implementation of SVM framework to estimate PVT properties of reservoir oil. Fluid Phase Equilibria 346, pages 25-32.
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Ali Selamat, Sunday Olusanya Olatunji & Abdul Azeez Abdul Raheem. (2012) A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems. Advances in Fuzzy Systems 2012, pages 1-19.
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Sunday Sunday Ikiensikimama & Joseph Atubokiki Ajienka. (2012) Impact of PVT correlations development on hydrocarbon accounting: The case of the Niger Delta. Journal of Petroleum Science and Engineering 81, pages 80-85.
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