What does this research mean for the field?

A newly developed critical slip temperature prediction model and restart-pressure calculation tool can accurately assess shutdown risks and estimate restart pressures in high-water-cut inclined gathering pipelines. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To investigate the wall slip behavior of gelled crude oil in high-water-cut inclined gathering pipelines and establish a predictive model for pipeline restart pressure.

August 28, 2026ProcessesOpen Access

Slip Behavior of Gelled Oil and Restart-Pressure Prediction in High-Water-Cut Inclined Pipelines

View Full Paper

Ask AI

Bookmark

Authors

JYJinchuan YangChina University of Petroleum, Beijing YFYuxin FuDaqing Oilfield General Hospital YSYang ShengDaqing Oilfield General Hospital

Discussion

Member takes

Implication

Experimental study reveals slip conditions and restart pressures for gelled crude oil in inclined pipelines, highlighting quantitative boundaries to prevent shutdown blockages.

Key Points

To investigate the wall slip behavior of gelled crude oil in high-water-cut inclined gathering pipelines and establish a predictive model for pipeline restart pressure.
Conducted visualization experiments and mechanical analysis across four crude oil samples (1#–4#) using Extended Derjaguin–Landau–Verwey–Overbeek (XDLVO) theory.
Formulated a critical slip temperature model based on oil gel point, oil–water density difference, and wax content.
Coupled the Sukhov temperature-drop equation with mechanical equilibrium equations to compute restart pressures, validating the framework against two field restart cases.
Observed three post-floating states—adhesion, adhesion–slip, and bulk floating aggregation—with critical slip temperatures of 33, 29, 36, and 37 °C (1–2 °C below their respective gel points).
The critical slip temperature model yielded absolute errors of 0.1–0.6 °C, with a mean absolute error of 0.4 °C.
Restart-pressure calculations for two field cases showed relative errors of 6.45% and 7.70%, with a maximum absolute error of 0.06 MPa.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a914631d15324a1df3a994e https://doi.org/10.3390/pr14172727

View Full Paper

Ask AI

Bookmark

August 28, 2026ProcessesOpen Access

Slip Behavior of Gelled Oil and Restart-Pressure Prediction in High-Water-Cut Inclined Pipelines

View Full Paper

Ask AI

Bookmark

Authors

JYJinchuan YangChina University of Petroleum, Beijing YFYuxin FuDaqing Oilfield General Hospital YSYang ShengDaqing Oilfield General Hospital

Discussion

Member takes

Implication

Experimental study reveals slip conditions and restart pressures for gelled crude oil in inclined pipelines, highlighting quantitative boundaries to prevent shutdown blockages.

Key Points

To investigate the wall slip behavior of gelled crude oil in high-water-cut inclined gathering pipelines and establish a predictive model for pipeline restart pressure.
Conducted visualization experiments and mechanical analysis across four crude oil samples (1#–4#) using Extended Derjaguin–Landau–Verwey–Overbeek (XDLVO) theory.
Formulated a critical slip temperature model based on oil gel point, oil–water density difference, and wax content.
Coupled the Sukhov temperature-drop equation with mechanical equilibrium equations to compute restart pressures, validating the framework against two field restart cases.
Observed three post-floating states—adhesion, adhesion–slip, and bulk floating aggregation—with critical slip temperatures of 33, 29, 36, and 37 °C (1–2 °C below their respective gel points).
The critical slip temperature model yielded absolute errors of 0.1–0.6 °C, with a mean absolute error of 0.4 °C.
Restart-pressure calculations for two field cases showed relative errors of 6.45% and 7.70%, with a maximum absolute error of 0.06 MPa.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a914631d15324a1df3a994e https://doi.org/10.3390/pr14172727

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark