摘要
减氧空气驱能有效提高低渗透油藏的采收率,但氧气的存在也必然造成下游的集输管线氧腐蚀和CO2腐蚀,从而限制了减氧空气驱的推广应用.针对国内某应用减氧空气驱油田集输管线,开展了缓蚀剂防腐研究.在模拟现场集输管道工况条件下,采用挂片动态失重法,选取了 6种抗CO2缓蚀剂和6种抗氧缓蚀剂对20钢材的缓蚀作用进行评价筛选.实验初选了两种抗氧缓蚀剂KY-12和KY-17以及一种抗CO2缓蚀剂A,三者的缓蚀率分别达到了83.67％、91.49％和78.44％.通过对初选的3种缓蚀剂在不同温度(25、40和55 ℃)和不同浓度(400、500、800、1000和2000 mg/L)条件下的实验评价,优选出在不同温度情况下稳定性最佳的KY-17缓蚀剂,且在不同浓度时缓蚀效果最好,缓释率最高达到92.7％.该结论对于减氧空气驱油田下游集输管线缓蚀剂的选型和加剂量有较好的参考意义.
Abstract
Oxygen-reduced air flooding can effectively improve the recovery efficiency of low-permeability reservoirs,but the presence of oxygen will inevitably cause oxygen corrosion and CO2 corrosion of downstream gathering and transportation pipelines,thus limiting the popularization and application of oxygen-reduced air flooding.An anti-corrosion study of corrosion inhibitors was carried out for a domestic application of oxygen-reduced air flooding oilfield gathering and transportation pipelines.Under the condition of simulating the working conditions of on-site gathering and transportation pipelines,using the dynamic weight loss method of hanging pieces,6 kinds of anti-CO2 corrosion inhibitors and 6 kinds of anti-oxidative corrosion inhibitors were selected to evaluate the corrosion inhibition effect of 20 steel.In the experiment,two anti-oxidant corrosion inhibitors KY-12 and KY-17 and one anti-CO2 corrosion inhibitor A were selected,whose release rates reached 83.67％,91.49％and 78.44％,respectively.By comparing the three primary corrosion inhibitors at different temperatures(25 ℃,40 ℃ and 55 ℃)and different concentrations(400 mg/L,500 mg/L,800 mg/L,1000 mg/L and 2000 mg/L),according to the experimental evaluation,the KY-17 corrosion inhibitor with the best stability at different temperatures is selected,and the corrosion inhibition effect is best at different concentrations,and the release rate is up to 92.7％.This conclusion has good reference for the selection and dosage of corrosion inhibitors for downstream gathering and transportation pipelines in oxygen-reduced air flooding oilfields.
基金项目
油气钻采工程湖北省重点实验室开放基金资助项目(YQZC202103)
国家科学自然基金项目(51974033)
维普
万方数据