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缆控式智能配注系统关键工具腐蚀特性分析

Analysis of Corrosion Characteristics of Key Tools in Cable Controlled Intelligent Injection Allocation System
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摘要 注水仍是剩余油驱替的重要措施之一,数字化注采控制更是中国油田的重要发展趋势。然而,智能配注工具在腐蚀环境下的适应性评价工作不足,大大制约了中国数字化油田的发展进程。为评价缆控式智能配注工具材质在新疆油田井下复杂环境中的适应性,通过实验方法评价了用于智能配注工具的两种典型材质在不同温度、不同Cl^(-)浓度条件下的腐蚀特性。结果表明:随温度升高,A材料的腐蚀电位下降且腐蚀电流增加,而B材料的腐蚀电位升高且腐蚀电流减小;当Cl^(-)浓度升高时,A材料表现出较强的腐蚀倾向;而在所研究井况范围内,B材料表面钝化层未被破坏。可见,在所研究井况下,B材料耐蚀性能显著优于A材料。 Water injection was still one of the important measures for residual oil displacement,and digital injection and production control is an important development trend in China s oil fields.However,the lack of adaptability evaluation of intelligent injection tools in corrosive environments greatly restricted the development process of digital oil fields in China.To evaluate the adaptability of cable controlled intelligent injection tool materials in the complex underground environment of Xinjiang oilfield,the corrosion characteristics of two typical materials used for intelligent injection tools were evaluated through experimental methods under different temperatures and Cl^(-)concentrations.The results show that as the temperature increases,the corrosion potential of material A decreases and the corrosion current increases,while material B has an increase in corrosion potential and a decrease in corrosion current.When the concentration of Cl^(-)increases,material A exhibits a strong corrosion tendency.Within the range of well conditions studied,the surface passivation layer of material B was not damaged.It can be seen that under the studied well conditions,the corrosion resistance of material B is significantly better than that of material A.
作者 杨新克 李杰 荣垂刚 朱万雨 曹梦雨 赵田 YANG Xin-ke;LI Jie;RONG Chui-gang;ZHU Wan-yu;CAO Meng-yu;ZHAO Tian(Engineering Technology Research Institute,PetroChina Xinjiang Oilfield Company,Karamay 834018,China;Engineering Technology Department,PetroChina Xinjiang Oilfield Company,Karamay 834018,China;The Mechanical Scientific and Engineering College,Northeast Petroleum University,Daqing 163318,China)
出处 《科学技术与工程》 北大核心 2024年第5期1878-1884,共7页 Science Technology and Engineering
基金 中国博士后科学基金(2020M670880) 东北石油大学引导性创新基金(2021YDL-30)。
关键词 剩余油水驱 智能配注器 数字化油田 腐蚀速率 电化学阻抗特性 residual oil and water drive intelligent injector digital oilfield corrosion rate electrochemical impedance characteristic
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