溶气原油CO2溶解度预测模型
Prediction model of carbon dioxide solubility in crude oil
王春兰 1王毅杰 2刘文臣 2黄启玉2
作者信息
- 1. 中国石化江苏石油工程设计有限公司
- 2. 中国石油大学(北京);城市油气输配技术北京市重点实验室
- 折叠
摘要
目的 解决目前气体溶解度模型难以应用于溶气(CO2)原油等问题.方法 利用自行设计建设的可承压搅拌釜装置研究了集输温度和压力对CO2 溶解度的影响规律,利用亨利定律对实验规律进行了分析,并建立了适用于集输环境下的CO2 溶解度计算模型.结果 该模型创造性地引入了与实际压力和常压比值相关的 4个参数,消除了已有模型的量纲问题.经过实验及文献数据验证,发现新的CO2 溶解度模型计算值与实验值相对误差最大为 32.5%,与 3种经典预测模型计算误差动辄超过 50%相比有了明显改善,且绝对误差可以控制在 2 L/L(以原油计)以内.结论 基于该模型预测效果的显著提升,可以有效应用于溶气原油工业集输过程,对保障原油输运具有重要工程意义.
Abstract
Objective The aim is to solve the problem that the original gas solubility models are difficult to be applied to dissolved gas(carbon dioxide)crude oil.Methods The influence of temperature and pressure on carbon dioxide solubility in the gathering and transportation environment was studied using a self-manufactured pressure-bearable stirring tank,and the experimental law was analyzed by Henry's law.At the same time,a new calculation model of carbon dioxide solubility in crude oil was established by using experimental data.Results The new model creatively introduced four parameters related to the ratio of actual pressure and atmospheric pressure,eliminating the dimensional problem of the existing models.Through the verification of experimental and literature data,it was found that the maximum relative error between the calculated value and the measured value was less than 32.5%,which was significantly improved compared with the three classical prediction models,which often exceeded 50%.The absolute error could be controlled within 2 L/L(CO2 based)crude oil.Conclusion Based on the remarkable improvement of the prediction effect of the model,it can be effectively applied to the gathering and transportation process of dissolved gas crude oil industry,and has important engineering significance for ensuring crude oil transportation.
关键词
CO2驱油/集输管道/溶气原油/溶解度Key words
carbon dioxide flooding/gathering and transportation pipeline/dissolved gas crude oil/solubility引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据