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Reliable Tools to Forecast Sludge Settling Behavior: Empirical Modeling.
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- Energies (19961073), 2023, v. 16, n. 2, p. 963, doi. 10.3390/en16020963
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Hybrid smart model to determine concentration of acidic gases in absorption tower of sweetening process.
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- Canadian Journal of Chemical Engineering, 2022, v. 100, n. 9, p. 2355, doi. 10.1002/cjce.24477
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- Article
Numerical simulation of homogeneous fluidization behaviour of Geldart Group A particles in gas tapered fluidized beds.
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- Canadian Journal of Chemical Engineering, 2022, v. 100, n. 9, p. 2632, doi. 10.1002/cjce.24489
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- Article
A novel strategy to evaluate titration-based asphaltene precipitation in various viscosity oil systems: Laboratory and modelling investigations.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 143, p. 127, doi. 10.1016/j.cherd.2018.12.026
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New reliable tools to mathematically model chemical reaction systems.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 141, p. 156, doi. 10.1016/j.cherd.2018.10.018
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- Article
Evolution of tar ball aggregates in Caspian Sea: Implications of connectionist tools linked with image analysis.
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- Environmental Progress & Sustainable Energy, 2018, v. 37, n. 6, p. 2016, doi. 10.1002/ep.12886
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- Article
A new experimental and modeling strategy to determine asphaltene precipitation in crude oil.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2017, v. 128, p. 162, doi. 10.1016/j.cherd.2017.09.035
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- Article
Systematic investigation of asphaltene precipitation by experimental and reliable deterministic tools.
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- Canadian Journal of Chemical Engineering, 2017, v. 95, n. 7, p. 1388, doi. 10.1002/cjce.22820
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- Article
Estimation of asphaltene precipitation in light, medium and heavy oils: experimental study and neural network modeling.
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- Neural Computing & Applications, 2017, v. 28, n. 4, p. 679, doi. 10.1007/s00521-015-2097-3
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- Article