Shadfar Davoodi

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review.
Commun. Nonlinear Sci. Numer. Simul.
Shadfar Davoodi, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Valeriy S. Rukavishnikov, Evgeny Burnaev
2025 J jnl
A Deep Learning-Aided Approach for Estimating Field Permeability Map by Fusing Well Logs, Well Tests, and Seismic Data.
CoRR
Grigoriy Shutov, Viktor Duplyakov, Shadfar Davoodi, Anton D. Morozov, Dmitriy Popkov, Kirill Pavlenko, Albert L. Vainshtein, Viktor Kotezhekov, Sergey Kaygorodov, Boris Belozerov, Mars M. Khasanov, Vladimir Vanovskiy, Andrei Osiptsov, Evgeny Burnaev
2025 J jnl
A robust hybrid near-real-time model for prediction of drilling fluids filtration.
Eng. Comput.
Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov
2025 J jnl
Advancement of artificial intelligence applications in hydrocarbon well drilling technology: A review.
Appl. Soft Comput.
Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad
2025 J jnl
Predicting diameter and tensile strength of electrospun fibers for biomedicine: A comparison of Box-Behnken design, traditional machine learning and deep learning.
Comput. Biol. Medicine
Arsalan D. Badaraev, Sven Rutkowski, Shadfar Davoodi, Sergei I. Tverdokhlebov
2024 J jnl
A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data.
Earth Sci. Informatics
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Mohammed Al-Shargabi, Grachik Eremyan, Tamara Shulgina
2024 J jnl
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids.
J. Ind. Inf. Integr.
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Valeriy S. Rukavishnikov
2024 J jnl
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study.
Expert Syst. Appl.
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov
2023 J jnl
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms.
Earth Sci. Informatics
Milad Zamanzadeh Talkhouncheh, Shadfar Davoodi, Babak Larki, Mohammad Mehrad, Sina Rashidi, Maher Vasfi
2023 J jnl
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations.
Appl. Soft Comput.
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov
2023 J jnl
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids.
Eng. Appl. Artif. Intell.
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Hamzeh Ghorbani, Valeriy S. Rukavishnikov
2023 J jnl
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites.
Expert Syst. Appl.
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov, Zhenxue Dai