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利用高温高压腐蚀仪和测量显微镜对CO2腐蚀油井水泥石的腐蚀深度进行了检测,分析了温度,CO2分压,腐蚀时间及水泥浆组成对腐蚀深度的影响,提出了水泥石腐蚀深度的预测模型。结果表明:腐蚀深度作为评价腐蚀程度的几何指标可用于综合评价水泥石的腐蚀程度。特定腐蚀条件下水泥浆组成不同水泥石腐蚀深度不同,可采用线性,平方根,对数函数近似描述腐蚀深度随温度、CO2分压及腐蚀时间的增加而增加的变化关系。以各体系实验数据为基础,采用数值回归分析方法建立了腐蚀深度预测模型,其计算结果与实测值吻合较好,可用于评价和预测处于井下长期腐蚀环境中水泥石的受腐蚀状况及程度。
The corrosion depth of CO2 corrosion well cement stone was detected by high temperature and high pressure corrosion tester and measurement microscope. The influence of temperature, CO2 partial pressure, corrosion time and slurry composition on corrosion depth was analyzed. The prediction model of corrosion depth of cement stone was proposed . The results show that the corrosion depth as a geometric index to evaluate the corrosion degree can be used to evaluate the corrosion degree of cement stone synthetically. Under different corrosion conditions, the corrosion depth of cement paste varies with different cement mortar compositions. The linear, square root and logarithmic functions can be used to describe the relationship between corrosion depth and temperature, CO2 partial pressure and corrosion time. Based on the experimental data of each system, the corrosion depth prediction model is established by numerical regression analysis. The calculated results are in good agreement with the measured values, which can be used to evaluate and predict the corrosion status and degree of cement stones in long-term downhole corrosion environment.