Heavy and extra-heavy oils represent a large and growing share of recoverable hydrocarbon resources, yet their extreme viscosity, high heteroatom content, and non-Newtonian behavior routinely defeat empirical correlations developed for conventional crude. Machine learning has emerged as a candidate response to this mod...
G. Simonelli, D. Cardoso, Adriana Vieira dos Santos et al.· Processes· 0 citations
Petroleum operations generate large volumes of oily sludge, a complex residue composed of emulsified oil, water, mineral solids, and chemical additives. This waste reduces storage capacity, accelerates corrosion, and poses significant environmental challenges. Although gas condensate (C5+) has been mentioned in isolate...
André Luis Andrade Dos Santos, J. Marques, João Paulo Lobo Dos Santos et al.· ACS Omega· 0 citations
A supervised model based on a Backpropagation Neural Network for simultaneous estimation of four interdependent properties: compressibility factor (Z), viscosity (μ), density (ρ) and gas formation volume factor (Bg) is proposed.
C. Silva, L. C. Santos, G. Simonelli· Modelling· 0 citations
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