PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 2, 2026The Canadian Journal of Chemical Engineering0 citations

Sand deposition characteristics and critical velocity prediction model in shale oil gathering pipeline

View Full Paper
DHDayong HouJXJunmin XuRZRuhao Zhao

Key Points

  • This research aims to understand sand deposition in shale oil gathering pipelines and predict critical velocity for system integrity.
  • Conducted multiphase sand transport experiments in a 15-m pipeline with varying gas-liquid velocities and pipe inclinations.
  • Identified six sand transport regimes affecting critical velocity thresholds.
  • Developed a prediction model integrating particle dynamics and pipeline characteristics with an error margin of 8.14%.
  • Positive correlations found between sand particle size, concentration, inclination, and critical velocity.
  • Liquid viscosity negatively correlated with critical velocity.
  • Proposed model improves prediction accuracy, aiding in optimal pipeline operation and sand control.

Abstract

Abstract Sand deposition in shale oil gathering pipelines poses risks including flow area reduction and accelerated internal corrosion. Precise prediction of the critical velocity is essential to ensure pipeline system integrity. Utilizing a 15‐m long experimental pipeline with 50‐mm internal diameter, we conducted multiphase sand transport experiments under varying gas–liquid velocities, sand particle sizes, concentrations, and pipe inclinations, establishing quantitative correlations between multiphase sand transport patterns and critical velocity thresholds. Six characteristic sand transport regimes were identified: suspended, heterogeneous suspension, moving bed, moving dunes, stationary dunes, and stationary bed. Particle dynamics analysis revealed a dual‐mechanism transition: turbulent fluctuations sustain particle suspension, while liquid drag provides translational momentum. Sand particle size, concentration, and pipe inclination collectively influence sand‐carrying capacity by modifying particle dynamics and multiphase flow characteristics, all exhibiting positive correlations with critical velocity, whereas liquid viscosity shows a negative correlation. The proposed model integrates particle clustering dynamics and inclination modifications into the Archibong framework. When coupled with the Xiao model it achieves 8.14% prediction error. This study established the sand transport characteristics shale oil gathering pipelines and the prediction method of critical velocity, which provided theoretical basis and methodological support for the optimal operation of the pipeline system and sand control.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hou et al. (2026) studied this question.

synapsesocial.com/papers/6a1e72ad30b38c64201b5d71https://doi.org/10.1002/cjce.70458
Ask AI
Helpful
Bookmark
Share
View Full Paper