Challenges in petroleum characterization—A review

I Shishkova, D Stratiev, IV Kolev, S Nenov… - Energies, 2022 - mdpi.com
252 literature sources and about 5000 crude oil assays were reviewed in this work. The
review has shown that the petroleum characterization can be classified in three categories …

Enhanced conversion of dairy waste oil to biodiesel via novel and highly reactive UiO-66-NH2/ZnO/TiO2 nano-catalyst: Optimization, kinetic, thermodynamic and …

B Maleki, H Esmaeili, M Mansouri, D Kumar, B Singh - Fuel, 2023 - Elsevier
This study focuses on developing a novel UiO-66-NH 2/ZnO/TiO 2 nano-catalyst for efficient
biodiesel generation from dairy waste scum oil (DWSO). UiO-66-NH 2, UiO-66-NH 2/TiO 2 …

Prediction of viscosity of blends of heavy oils with diluents by empirical correlations and artificial neural network

D Stratiev, S Nenov, I Shishkova, S Sotirov… - Industrial & …, 2023 - ACS Publications
Various straight-run and hydrocracked vacuum residual oils mixed with dissimilar light oils
were tested for their viscosity using an Engler specific viscometer, generating 158 heavy oil …

Prediction of petroleum viscosity from molecular weight and density

D Stratiev, I Shishkova, R Dinkov, S Nenov, S Sotirov… - Fuel, 2023 - Elsevier
Abstract 165 crude oils with viscosity, density, and molecular weight variation in the range
0.54–24135cP; 0.746–1.016 g/cm 3; 117–579 g/mol respectively were examined for …

Modified hybrid strategy integrating online adjustable oil property characterization and data-driven robust optimization under uncertainty: Application in gasoline …

J Long, S Jiang, T Liu, K Wang, R He, L Zhao - Energy & Fuels, 2022 - ACS Publications
With the increasing challenges in environmental protection, product quality, and market
profit, the development of a feasible optimization approach coupling accurate oil property …

Evaluation of mixing rules to predict viscosity of petrodiesel and biodiesel blends

EA Hernández, G Sánchez-Reyna, J Ancheyta - Fuel, 2021 - Elsevier
In the face of lacking an equation to predict important characteristics of new biofuels, thirty
mixing rules originally developed to calculate the viscosity of petroleum and its fractions …

Petroleum viscosity modeling using least squares and ANN methods

D Stratiev, S Nenov, S Sotirov, I Shishkova… - Journal of Petroleum …, 2022 - Elsevier
Abstract 274 crude oils pertaining to the groups of extra light (gas condensates), light,
medium, heavy, and extra heavy crude oils were characterized by true boiling point …

Diesel blending under property uncertainty: A data-driven robust optimization approach

J Long, S Jiang, R He, L Zhao - Fuel, 2021 - Elsevier
With the increasing demand for diesel fuel and the strict diesel standards, diesel blending
has become an essential technology in response to clean energy. However, in the …

Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline …

J Long, K Deng, R He - Chinese Journal of Chemical Engineering, 2023 - Elsevier
Gasoline blending scheduling optimization can bring significant economic and efficient
benefits to refineries. However, the optimization model is complex and difficult to build …

The kinematic viscosity of conventional and bio-based fuel blends as a key parameter to indirectly estimate the performance of compression-ignition engines for …

M Bietresato, A Bolla, C Caligiuri, M Renzi, F Mazzetto - Fuel, 2021 - Elsevier
The partial replacement of conventional fuels with “bio-based” fuels represents a viable
energy strategy for cleaner distributed-power generation (agricultural/co-generative units) …