Improvement of the light crude W/O emulsion viscosity model and verification

WANG Yating; LI Yuxing; WANG Haiyan; SONG Chengyi; MENG Lan

doi:10.6047/j.issn.1000-8241.2014.10.012

Oil & Gas Storage and Transportation > 2014 > 33(10): 1081-1086. > DOI: 10.6047/j.issn.1000-8241.2014.10.012

WANG Yating, LI Yuxing, WANG Haiyan, SONG Chengyi, MENG Lan. Improvement of the light crude W/O emulsion viscosity model and verification[J]. Oil & Gas Storage and Transportation, 2014, 33(10): 1081-1086. DOI: 10.6047/j.issn.1000-8241.2014.10.012

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Improvement of the light crude W/O emulsion viscosity model and verification

1.
China University of Petroleum (Huadong), Qingdao, Shandong, 266580
2.
CNOOC Research Institute, Beijing, 100027
3.
Daqing Oilfield Engineering Co. Ltd., Daqing, Heilongjiang, 163712

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Author Bio:
WANG Yating, reading master, born in 1989, graduated from China University of Petroleum (Huadong), oil & gas storage and transportation engineering, in 2012, engaged in the research of multiphase pipe flow and gathering technology in oil-gas fields. Tel: 15063919298, Email: wangyating915@gmail.com
Received Date: November 07, 2013
Revised Date: July 02, 2014
Available Online: August 20, 2023
Published Date: April 01, 2014

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Abstract

Abstract

In order to obtain a more accurate light crude water-in-oil (W/O) emulsion viscosity model, current models with preferable computational accuracy are improved. Light crude is used to prepare the W/O emulsion for viscosity test under different temperature and shear rate. Then, the commonly used emulsion viscosity prediction models are compared to define the optimal one based on the experimental data, suggesting that the Brinkman model features the highest accuracy. Consequently, the Brinkman model is improved by considering the influences of hydration, flocculation and water content on the calculation of emulsion viscosity, and also directly incorporating the influence of temperature, regardless of shear rate. The improved model is verified by laboratory loop test. The result shows that the improved model has higher accuracy, with average relative error less than 10%.
- light crude,
- W/O emulsion,
- viscosity prediction model,
- model improvement,
- loop test

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