Investigation on the Safety Temperature Boundary After the Shutdown of Cold Transport Pipelines: Based on the XDLVO Theory and Force Balance

Abstract During the period when the cold transportation pipeline is stopped, the gelled crude oil in the pipeline is prone to adhere and accumulate at the inclined pipe section, adversely impacting operational efficiency. Based on the extended Derjaguin–Landau–Verwey–Overbeek (XDLVO) theory and force balance, this article conducts a study on the safety boundary of cold transportation pipelines after shutdown during the period of extremely high water content. The results indicated that the total interaction of gelatinous oil increased with the drop of temperature at low temperatures. The gelatinous oil particles adhering to the wall surface were subjected to the combined action of adhesion force (Fa), net buoyancy (Fg), and yield force (Fy). Moreover, under low-temperature conditions, four kinds of gelled oil particles all displayed a propensity for adhering to the wall. With the increase of temperature, the adhesion state, adhesion-slip state, and flow-slip state of gelatinous oil particles appeared successively on the wall surface. Subsequently, we developed a predictive model for the minimum adhesion-slip temperature of gelled oil particles, achieving an accuracy within 2 °C. The study is of great significance for determining the safety boundary of cold transport pipeline when it is shutdown.

Authors

Institutions

Publication Details

Journal
Journal of energy resources technology.
Published
2025-08-08
DOI
https://doi.org/10.1115/1.4069351
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation on the Safety Temperature Boundary After the Shutdown of Cold Transport Pipelines: Based on the XDLVO Theory and Force Balance

Yuanzhi Qin, Wenchen Liu, Qiyu Huang, Ping Geng et al.
Journal of energy resources technology.
Structural Integrity and Reliability Analysis
article

Investigation on the Safety Temperature Boundary After the Shutdown of Cold Transport Pipelines: Based on the XDLVO Theory and Force Balance

Yuanzhi Qin, Wenchen Liu, Qiyu Huang, Ping Geng, Kun Wang, Yijie Wang, Xiangyu Zhong, Shishi Fei
article en

Abstract

Abstract During the period when the cold transportation pipeline is stopped, the gelled crude oil in the pipeline is prone to adhere and accumulate at the inclined pipe section, adversely impacting operational efficiency. Based on the extended Derjaguin–Landau–Verwey–Overbeek (XDLVO) theory and force balance, this article conducts a study on the safety boundary of cold transportation pipelines after shutdown during the period of extremely high water content. The results indicated that the total interaction of gelatinous oil increased with the drop of temperature at low temperatures. The gelatinous oil particles adhering to the wall surface were subjected to the combined action of adhesion force (Fa), net buoyancy (Fg), and yield force (Fy). Moreover, under low-temperature conditions, four kinds of gelled oil particles all displayed a propensity for adhering to the wall. With the increase of temperature, the adhesion state, adhesion-slip state, and flow-slip state of gelatinous oil particles appeared successively on the wall surface. Subsequently, we developed a predictive model for the minimum adhesion-slip temperature of gelled oil particles, achieving an accuracy within 2 °C. The study is of great significance for determining the safety boundary of cold transport pipeline when it is shutdown.

Journal of energy resources technology.Vol. 1(6)
Beijing Institute of Petrochemical Technology (CN), Petro-Canada (CA), China University of Petroleum, Beijing (CN), Beijing Transportation Research Center (CN), Fu Wai Hospital (CN), China National Petroleum Corporation (China) (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 79%
Structural Integrity and Reliability Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.