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G. Simonelli

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Open access Oct 2026

Enhancing Alkaline Biodiesel Transesterification Using Protic Ionic Liquid [DETA][Hx] as a Low-Concentration Additive

Protic ionic liquids (PILs) have emerged as cost-effective alternatives to aprotic ionic liquids in biodiesel production. In biphasic transesterification systems, the intrinsic immiscibility between methanol and oil phases represents an important limitation affecting reaction performance. In this context, the present...

Monique E. J. Trindade, D. Cardoso, Kleberson R. O. Pereira et al. · 0 citations
Review Open access Aug 2026

Machine Learning Across the Heavy Oil Value Chain: A Review of Methodological Maturity and Industrial Deployability

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. · 0 citations
Open access Sep 2026

Use of Gas Condensate for the Recovery of Hydrocarbons from Oily Sludge

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, J. P. D. Dos Santos et al. · 0 citations
Open access Jul 2026

Integrated Prediction of Thermophysical Properties of Natural Gas Using Machine Learning and Its Application to Pressure Drop Modeling

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 · 0 citations

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