Simulation data for CO2 corrosion rate of oil pipeline

This data present the corrosion rates of oil pipelines under harsh conditions (acidic fluid, high temperature, and low efficiency of corrosion inhibitor). The data have been generated by coupling an analytical corrosion rate model – NORSOK M506 – and Monte Carlo simulation. The variables used in the simulation include temperature of fluid, internal pressure, CO2 partial pressure, flow velocity inside the pipe, and corrosion inhibitor efficiency. Since the experimental and field measurements of internal corrosion rates are scarce - due to the cost and difficulty of inspection/monitoring techniques - the generated data can be used in development and validation of numerical and analytical models for predicting the corrosion rate of oil pipelines.

本数据集收录了严苛工况下输油管道的腐蚀速率数据，该工况涵盖酸性流体环境、高温条件以及缓蚀剂低效运行状态。本数据集通过耦合分析式腐蚀速率模型NORSOK M506与蒙特卡洛（Monte Carlo）模拟生成。模拟所采用的输入变量包括流体温度、管内压力、二氧化碳分压、管道内流体流速以及缓蚀剂效率。鉴于检测与监测技术的成本与实施难度，当前输油管道内部腐蚀速率的实验与现场实测数据较为稀缺，因此本数据集可用于开发并验证用于预测输油管道腐蚀速率的数值模型与分析模型。