By Dr Mohammad Ebadi

Journal articles

Ebadi M; McClure J; Mostaghimi P; Armstrong RT, 2024, 'Bridging the gap: Connecting pore-scale and continuum-scale simulations for immiscible multiphase flow in porous media', Physics of Fluids, 36, http://dx.doi.org/10.1063/5.0186990

Alfazazi U; Bedeaux D; Kjelstrup S; Moura M; Ebadi M; Mostaghimi P; McClure JE; Armstrong RT, 2024, 'Interpreting pore-scale fluctuations: Predicting transport coefficients in multiphase flow through porous media using the Green-Kubo formulation—An experimental investigation', Physics of Fluids, 36, http://dx.doi.org/10.1063/5.0185605

Ebadi M; McClure J; Mostaghimi P; Armstrong RT, 2024, 'Investigating an extended multiphase flow model that includes specific interfacial area', Computer Methods in Applied Mechanics and Engineering, 418, http://dx.doi.org/10.1016/j.cma.2023.116594

Najafi A; Siavashi J; Ebadi M; Orlov D; Sharifi M; Fahimpour J; Keshavarz Moraveji M; Koroteev D, 2023, 'Using computational fluid dynamics to compute the pore-scale CO2-brine relative permeability', Fuel, 341, http://dx.doi.org/10.1016/j.fuel.2023.127715

Ajrian A; Ebadi M; Delijani EB; Koroteev D, 2023, 'SERIAL AND DIFFERENT PARALLEL IMPLEMENTATIONS OF LATTICE BOLTZMANN METHOD IN PYTHON: A COMPARATIVE ANALYSIS', Computational Thermal Sciences, 15, pp. 55 - 70, http://dx.doi.org/10.1615/ComputThermalScien.2023045600

Ebadi M; Orlov D; Alekseev V; Burukhin A; Krutko V; Koroteev D, 2022, 'Lift the veil of secrecy in sub-resolved pores by Xe-enhanced computed tomography', Fuel, 328, http://dx.doi.org/10.1016/j.fuel.2022.125274

Ebadi M; Armstrong RT; Mostaghimi P; Wang YD; Alqahtani N; Amirian T; James LA; Parmar A; Zahra D; Hamze H; Koroteev D, 2022, 'Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments', Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR031814

Siavashi J; Najafi A; Ebadi M; Sharifi M, 2022, 'A CNN-based approach for upscaling multiphase flow in digital sandstones', Fuel, 308, http://dx.doi.org/10.1016/j.fuel.2021.122047

Najafi A; Siavashi J; Ebadi M; Sharifi M; Fahimpour J; Koroteev D, 2021, 'Upscaling permeability anisotropy in digital sandstones using convolutional neural networks', Journal of Natural Gas Science and Engineering, 96, http://dx.doi.org/10.1016/j.jngse.2021.104263

Sidorenko M; Orlov D; Ebadi M; Koroteev D, 2021, 'Deep learning in denoising of micro-computed tomography images of rock samples', Computers and Geosciences, 151, http://dx.doi.org/10.1016/j.cageo.2021.104716

Ebadi M; Orlov D; Makhotin I; Krutko V; Belozerov B; Koroteev D, 2021, 'Strengthening the digital rock physics, using downsampling for sub-resolved pores in tight sandstones', Journal of Natural Gas Science and Engineering, 89, http://dx.doi.org/10.1016/j.jngse.2021.103869

Ebadi M; Zabihifar SH; Bezyan Y; Koroteev D, 2021, 'A nonlinear solver based on an adaptive neural network, introduction and application to porous media flow', Journal of Natural Gas Science and Engineering, 87, http://dx.doi.org/10.1016/j.jngse.2020.103749

Orlov D; Ebadi M; Muravleva E; Volkhonskiy D; Erofeev A; Savenkov E; Balashov V; Belozerov B; Krutko V; Yakimchuk I; Evseev N; Koroteev D, 2021, 'Different methods of permeability calculation in digital twins of tight sandstones', Journal of Natural Gas Science and Engineering, 87, http://dx.doi.org/10.1016/j.jngse.2020.103750

Bezyan Y; Ebadi M; Gerami S; Rafati R; Sharifi M; Koroteev D, 2019, 'A novel approach for solving nonlinear flow equations: The next step towards an accurate assessment of shale gas resources', Fuel, 236, pp. 622 - 635, http://dx.doi.org/10.1016/j.fuel.2018.08.157

Ahmadi MA; Ebadi M; Samadi A; Siuki MZ, 2015, 'Phase Equilibrium Modeling of Clathrate Hydrates of Carbon Dioxide + 1,4-Dioxine Using Intelligent Approaches', Journal of Dispersion Science and Technology, 36, pp. 236 - 244, http://dx.doi.org/10.1080/01932691.2014.904792

Ahmadi MA; Ahmadi MR; Hosseini SM; Ebadi M, 2014, 'Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence', Journal of Petroleum Science and Engineering, 123, pp. 183 - 200, http://dx.doi.org/10.1016/j.petrol.2014.08.026

Ahmadi MA; Ebadi M; Yazdanpanah A, 2014, 'Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: Application of particle swarm optimization', JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 123, pp. 7 - 19, http://dx.doi.org/10.1016/j.petrol.2014.05.023

Ahmadi MA; Ebadi M, 2014, 'Fuzzy Modeling and Experimental Investigation of Minimum Miscible Pressure in Gas Injection Process', Fluid Phase Equilibria, 378, pp. 1 - 12, http://dx.doi.org/10.1016/j.fluid.2014.06.022

Ahmadi MA; Ebadi M; Marghmaleki PS; Fouladi MM, 2014, 'Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs', Fuel, 124, pp. 241 - 257, http://dx.doi.org/10.1016/j.fuel.2014.01.073

Ahmadi MA; Ebadi M, 2014, 'Evolving smart approach for determination dew point pressure through condensate gas reservoirs', Fuel, 117, pp. 1074 - 1084, http://dx.doi.org/10.1016/j.fuel.2013.10.010

Ahmadi MA; Ebadi M; Hosseini SM, 2014, 'Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach', Fuel, 117, pp. 579 - 589, http://dx.doi.org/10.1016/j.fuel.2013.09.071

Ahmadi MA; Shadizadeh SR; Ebadi M; Khalighi Sheshdeh R, 2013, 'RETRACTED ARTICLE: Prediction of condensate-to-gas ratio by using stochastic particle swarm optimization and neural network', Neural Computing and Applications, 23, pp. 571, http://dx.doi.org/10.1007/s00521-012-0986-2

Ebadi M; Ahmadi MA; Hikoei KF; Rashidinia N, 2012, 'Application of fuzzy decision tree analysis for prediction asphaltene precipitation due natural depletion; case study', Australian Journal of Basic and Applied Sciences, 6, pp. 190 - 197

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