Industrial investigation of the combined action of vacuum residue hydrocracking and vacuum gas oil catalytic cracking while processing different feeds and operating …

D Stratiev, V Toteva, I Shishkova, S Nenov, D Pilev… - Processes, 2023 - mdpi.com
Ebullated bed vacuum residue hydrocracking and fluid catalytic cracking (FCC) are among
the most profitable processes in modern refining. Their optimal performance is vital for …

Prediction of refractive index of petroleum fluids by empirical correlations and ANN

GN Palichev, D Stratiev, S Sotirov, E Sotirova, S Nenov… - Processes, 2023 - mdpi.com
The refractive index is an important physical property that is used to estimate the structural
characteristics, thermodynamic, and transport properties of petroleum fluids, and to …

Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning

H Saberi, M Karimian, E Esmaeilnezhad - Engineering Applications of …, 2024 - Elsevier
The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

Transparent AI-assisted chemical engineering process: Machine learning modeling and multi-objective optimization for integrating process data and molecular-level …

W Xu, Y Wang, D Zhang, Z Yang, Z Yuan, Y Lin… - Journal of Cleaner …, 2024 - Elsevier
Thoroughly utilizing the first principles of chemical processes, industrial big data, and
artificial intelligence algorithms has been a deterministic trend in process modeling …

Effect of crude oil quality on properties of hydrocracked vacuum residue and its blends with cutter stocks to produce fuel oil

I Kolev, D Stratiev, I Shishkova, K Atanassov, S Ribagin… - Processes, 2023 - mdpi.com
The production of heavy fuel oil from hydrocracked vacuum residue requires dilution of the
residue with cutter stocks to reduce viscosity. The hydrocracked residue obtained from …

Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms

AN Beskopylny, A Chepurnenko, B Meskhi… - Biomimetics, 2023 - mdpi.com
Fluid particle detection technology is of great importance in the oil and gas industry for
improving oil-refining techniques and in evaluating the quality of refining equipment. The …

[HTML][HTML] Estimation of SARA Composition of Crudes Purely from Density and Viscosity using Machine Learning Based Models

AD Kulkarni, PD Khurpade, S Nandi - Petroleum, 2024 - Elsevier
Accurate characterization of crude oils by determining the composition of saturates,
aromatics, resins and asphaltenes (SARA) has always been a challenging task in the …

Application of Intercriteria and Regression Analyses and Artificial Neural Network to Investigate the Relation of Crude Oil Assay Data to Oil Compatibility

I Shiskova, D Stratiev, M Tavlieva, A Nedelchev… - Processes, 2024 - mdpi.com
The compatibility of constituents making up a petroleum fluid has been recognized as an
important factor for trouble-free operations in the petroleum industry. The fouling of …

Do the True Boiling-Point Distillation Yields of Crude Oil Blends Obey the Additive Blending Rule?

D Stratiev, I Shishkova, R Dinkov, S Sotirov, E Sotirova… - Processes, 2023 - mdpi.com
Twelve crude oil blends prepared from seven individual crude oils and an imported
atmospheric residue were characterized through a true boiling point (TBP) distillation …

[HTML][HTML] “Petroleum Characterization and Bioprocesses: Numerical and Experimental Investigation”

D Stratiev, D Yordanov, A Guo - Processes, 2024 - mdpi.com
Petroleum is a valuable mineral source rich in hydrocarbons, which, after refining, can be
used either as components in the production of internal combustion engine fuels, or in feeds …