Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2023, Vol. 45 ›› Issue (2): 178-188.DOI: 10.11885/j.issn.1674-5086.2020.11.20.01

• PETROLEUM MACHINERY AND OILFIELD CHEMISTRY • Previous Articles    

A Study on Mechanistic Prediction Model of Gathering Pipelines in CO$_2$ Environment

JIANG Hongye1, LIU Yingxue1,2, HE Sha2, LUO Jiqing2, XU Taolong1   

  1. 1. Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
    2. Safety Environment and Quality Supervision and Inspection Research Institute of CNPC Chuanqing Drilling Engineering Co. Ltd., PetroChina, Guanghan, Sichuan 618300, China
  • Received:2020-11-20 Published:2023-05-05

Abstract: CO$_2$ flooding technology has been widely used in major oil fields because of its ability to significantly improve reservoir recovery. However, the increase of CO$_2$ content in the produced fluid leads to serious corrosion of ground gathering and transportation pipelines. In order to solve the problem of CO$_2$ corrosion of ground gathering and transportation pipelines, the CO$_2$ corrosion rate prediction research under the influence of corrosion product film is carried out. Based on the corrosion thermodynamics and kinetics theory, considering the multifield coupling effects such as fluid flow, electrochemical reaction and mass transfer process, the influence factors of corrosion product film on the diffusion coefficient of ion mass transfer are introduced, and a new corrosion prediction mechanism model is proposed based on the work of Nesic et al, and the chemical, electrochemical and mass transfer calculations are improved. The prediction results of the model are compared and verified by using the experimental data in the literature. The results show that the corrosion prediction model is in good agreement with the experimental data. In the presence of corrosion product film, the corrosion prediction rate can be effectively revised, which further improves the applicability and accuracy of CO$_2$ corrosion prediction mechanistic model, and provides some reference for the design of oil and gas production, processing and transportation pipeline and related facilities.

Key words: gathering pipelines, CO$_2$ corrosion, mechanistic model, corrosion product film, corrosion rate prediction

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