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Characterization and Prediction of Water Droplet Size in Oil-Water Flow

Yao, Juncheng
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470741069

Abstract Details

2016, Master of Science (MS), Ohio University, Mechanical Engineering (Engineering and Technology).
Corrosion is a significant issue affecting oil-water transportation pipelines and causing failures. It occurs when the water present in the produced fluids (a mixture of gas and liquid hydrocarbons) comes into contact and reacts with the pipe surface. Preventing direct contact between water and steel surface is key in mitigating corrosion. This can be achieved by ensuring that water is dispersed as droplets in the oil flow. This situation, called dispersed water-in-oil flow, is attained when the specific operating conditions are met. Being able to predict when dispersed water-in-oil flow occurs holds consequently a significant importance in any asset integrity plan. Liquid flow rates and water cut play obviously a crucial role but, more specifically, the prediction of water droplet size and distribution is essential in determining when dispersed water-in-oil flow is stable. This present study focuses on experimental measurements of maximum droplet size and droplet size distribution in water-in-oil dispersion for a wide range of flow conditions. The experimental data are compared with the current prediction models and the effects of turbulent level and water cut on maximum droplet size and droplet size distribution is also studied. Gaps in the current understanding are identified and improvements of the predictions models are then proposed.
Marc Singer (Advisor)
Srdjan Nesic (Committee Member)
Sarah Hormozi (Committee Member)
Katherine Cimatu (Committee Member)
183 p.
Chemical Engineering; Mechanical Engineering
Maximum droplet size; Multiphase flow; Droplet coalescence; Droplet breakup; Droplet size distribution; Turbulent flow

Recommended Citations

Citations

  • Yao, J. (2016). Characterization and Prediction of Water Droplet Size in Oil-Water Flow [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470741069

    APA Style (7th edition)

  • Yao, Juncheng. Characterization and Prediction of Water Droplet Size in Oil-Water Flow. 2016. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470741069.

    MLA Style (8th edition)

  • Yao, Juncheng. "Characterization and Prediction of Water Droplet Size in Oil-Water Flow." Master's thesis, Ohio University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470741069

    Chicago Manual of Style (17th edition)

ohiou1470741069
367
© 2016, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.