Facilitating the transportation of highly viscous oil by aqueous foam injection

Jiaqiang Jing, Jie Sun*, Hongbing Huang, Ming Zhang, Chunsheng Wang, Xingchang Xue, Amos Ullmann, Neima Brauner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This work aims at studying a new idea for cold transportation of high-viscosity oil by foam injection. Special attention is paid to the drag reduction achieved by introducing a non-Newtonian aqueous foam to Newtonian oil in the stratified and core annular flow (CAF) regimes. Pressure gradients were measured during the co-current flow of highly viscous oil and foam in a horizontal rough-wall tempered borosilicate glass pipe with 25 m in total length and 25 mm inner diameter. Measurements were made for oil and foam superficial velocities in the range of 0.1–0.9 m/s and 0.05–0.84 m/s, respectively. New hydraulic models for foam-oil horizontal pipe flow based on the one-dimensional two-fluid approach were established. These models are capable of representing the observed flow configurations ranging from stratified flow to concentric CAF and eccentric CAF. Good agreement was obtained between the predictions and experimental data over a wide range of operating conditions. A maximum drag reduction ratio could be reached at the critical input foam-to-oil flow ratio, where complete encapsulation of the oil core by the foam becomes feasible. An optimum core-to-pipe radius ratio range for the highest oil-transport operational coefficient was identified.

Original languageEnglish
Pages (from-to)763-778
Number of pages16
JournalFuel
Volume251
DOIs
StatePublished - 1 Sep 2019

Funding

FundersFunder number
National Science & Technology Major Project of China2016ZX05025004–005
National Natural Science Foundation of China51606160, 51779212
China Scholarship Council

    Keywords

    • Aqueous foam
    • Drag reduction
    • Eccentric core flow
    • High-viscosity oil
    • Non-Newtonian
    • Stratified flow
    • Two-fluid models

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