Abstract

We developed an integral plume model to simulate the behavior of bubble plumes generated from line-source geometry in stratified ambient reservoirs by adapting the double-plume integral model developed for point-sources to a line plume. The model, based on top-hat velocity and buoyancy profiles, uses an Eulerian integral modeling approach and predicts the hydrodynamic, chemical, and thermodynamic behavior of the bubbles using a discrete bubble model. Existing integral models for line-source bubble plumes consider only the upward motion of bubbles and entrained water. To accurately predict intrusion formation, mixing patterns, and efficiency of bubble plumes in stratified environments, the downward flow of plume fluid from the maximum extent of plume rise to the trap height should also be included. To solve this problem, we presented a derivation of a continuously peeling double-plume model for line plumes and calibrated the model peeling factor to data for trap height in two stratified reservoirs. We applied the calibrated model to predict the gas transfer and vertical fluxes of oxygen from an oxygenation system in Carvins Cove reservoir and compared the predictions of the double-plume model to that using a standard single-plume model. We showed that the amount and the vertical distribution of entrainment into the plume differs in the double-plume model compared to the single-plume; hence, the type of model (double-plume or single-plume) would affect the results of simulations in coupled reservoir circulation models.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies. Model simulation code and simulation results will be publicly available through the Gulf of Mexico Research Initiative Information & Data Cooperative (GRIIDC) at https://data.gulfresearchinitiative.org/10.7266/YTFWPAS8.

Acknowledgments

This research was made possible in part by a Grant from the Gulf of Mexico Research Initiative to the Center for Integrated Modeling and Assessment of the Gulf Ecosystem (C-IMAGE II). We are also grateful to the three anonymous reviewers for their constructive comments that helped to improve the manuscript.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 147Issue 5May 2021

History

Received: Jul 11, 2020
Accepted: Jan 22, 2021
Published online: Mar 12, 2021
Published in print: May 1, 2021
Discussion open until: Aug 12, 2021

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Research Scientist, Foundation for Industrial and Technical Research (SINTEF) Ocean, Brattørkaia 17c, Trondheim 7010, Norway (corresponding author). ORCID: https://orcid.org/0000-0001-7126-4650. Email: [email protected]
Maryam Rezvani, Ph.D.
Data Scientist, Autodesk, 500 Matterhorn Dr, Walnut Creek 94598, CA.
Scott A. Socolofsky, Ph.D., M.ASCE https://orcid.org/0000-0001-6125-3114
Professor, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843-3136. ORCID: https://orcid.org/0000-0001-6125-3114
Kevin A. Bierlein, Ph.D. https://orcid.org/0000-0001-8307-1434
Environmental Engineer, Hydros Consulting Inc., 1628 Walnut St., Boulder, CO 80302. ORCID: https://orcid.org/0000-0001-8307-1434
John C. Little, Ph.D.
Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061-0246.

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