A Generalized Model for Estimating the Viscosity of Crude Oil DOI Open Access
Xiaodong Gao, Tianwen Jiang, Yang Li

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1433 - 1433

Published: May 8, 2025

Currently, most crude oil viscosity correlations rely only on API gravity and temperature, resulting in significant limitations accurately predicting viscosity. To address this issue, paper systematically explores the effect of gravity, components (saturates, aromatics, resins, asphaltenes content), based 251 samples through sensitivity analysis. overcome shortcoming traditional models, proposes an innovative generalized model that combines Levenberg–Marquardt (LM) universal global optimization (UGO) methods to fully consider effects various components. verify effectiveness model, divides into a training set (202 samples) test (49 compares prediction results new with traditional. The show accuracy is significantly better than minimum average absolute relative deviation reaching 10.13% 12.4%, respectively. This study not improves but also provides early warning increased pipeline friction caused by abnormal viscosity, avoids suspension accidents, ensures safe operation long-distance pipelines.

Language: Английский

A polyethyleneimine-functionalized cellulose nanofiber/MXene composite aerogel: Towards highly efficient adsorption of crude oil, organic solvents, and dyes DOI
Jiaqi Lang, Ce Li, Lei Chen

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 74, P. 107808 - 107808

Published: April 25, 2025

Language: Английский

Citations

0
A Generalized Model for Estimating the Viscosity of Crude Oil DOI Open Access
Xiaodong Gao, Tianwen Jiang, Yang Li

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1433 - 1433

Published: May 8, 2025

Currently, most crude oil viscosity correlations rely only on API gravity and temperature, resulting in significant limitations accurately predicting viscosity. To address this issue, paper systematically explores the effect of gravity, components (saturates, aromatics, resins, asphaltenes content), based 251 samples through sensitivity analysis. overcome shortcoming traditional models, proposes an innovative generalized model that combines Levenberg–Marquardt (LM) universal global optimization (UGO) methods to fully consider effects various components. verify effectiveness model, divides into a training set (202 samples) test (49 compares prediction results new with traditional. The show accuracy is significantly better than minimum average absolute relative deviation reaching 10.13% 12.4%, respectively. This study not improves but also provides early warning increased pipeline friction caused by abnormal viscosity, avoids suspension accidents, ensures safe operation long-distance pipelines.

Language: Английский

Citations

0