Internet Workstation

Edition and Publication

Edition and Publication:
< Natural Gas and Oil > Editorial Department
Hosted by:
China Petroleum Engineering & Construction Corporation Southwest Company
Authorized by:
China Petroleum Engineering & Construction Corporation
Co-hosted by:
Overseas Research Center of Research Institute of Petroleum Exploration and Development
Editor in Chief:
Du Tonglin
Vice Editor in Chief:
Tang Xiaoyong,Pu Liming
Address:
No.6, Shenghua Road, High-tech District, Chengdu, Sichuan, China
Postal Code:
610041
Tel:
028-86014709
028-86014500
Email:
cnpc-ngo@cnpc.com.cn
Issue:ISSN 1006-5539
          CN 51-1183/TE

Links

    Your Position :Home->Past Journals Catalog->2016 Vol.4

    Experimental Study for New Model of Total Heat Transfer Coefficient of Waxy Hot Pipeline
    Author of the article:Zhou Gang, Zhao Jian, Wang Qiannan, Wang Meng
    Author's Workplace:1.Key Laboratory of Enhanced Oil Recovery of Education Ministry, Northeast Petroleum University; 2.Surfactant Production Plant, Daqing Oilfield of CNPC
    Key Words:Heat transfer coefficient; Wax deposition; Parameters fluctuations; Dimensionless analysis; Loop experiment
    Abstract:

    The relativity between varied factors as the outlet oil temperature, oil density, flow rate, viscosity, specific heat capacity, buried temperature and running time after pigging and the overall heat transfer coefficient is studied in this paper with the characteristics of the physical properties of the overall heat transfer coefficient by four dimensionless numbers. The dimensionless  experimental is designed through loop experimental apparatus to ascertain the formula form of optimal predicted models and physical significance of each dimensionless number, and further put forward a new model, which is composed of dimensionless numbers, for the prediction of overall heat transfer . The result of forecast on oil pipeline in the Northeast indicates that the average relative error lowers by 2.85% over the inverse calculation, which solves the issue of large prediction errors due to fluctuation of running parameters.

     


    CopyRight©2025Natural Gas and Oil Editorial Office Reserved 京ICP备11013578号-1