摘要
以注水井井筒为研究对象,根据注水沿井筒的流动过程与地层间的传热过程,将传热学理论和结垢预测技术相结合,考虑注水量、温度、压力、pH值以及离子质量浓度等因素对注水井井筒碳酸钙结垢的综合影响,建立注水井井筒中碳酸钙结垢预测的数学模型,并开发注水井井筒中碳酸钙结垢预测软件。运用该软件对胜利油田某一油区的注水井井筒进行结垢预测。结果表明,注水井井筒中碳酸钙垢的预测结果与实际测试结果相符,且能预测注水井中碳酸钙垢随着时间、井深、温度、压力及水质等参数的变化情况,可为油田采取防垢、除垢措施提供依据。
Taking the water injection wellbore as object, combining the heat transfer theory with the scaling prediction technology, a scaling prediction mathematical model of water injection wellbore was established according to the heat transfer process and fluid flow process of injection water along wellbore. The changes of water injection rate, temperature, pressure, pH value, ion mass concentration were also taken into consideration. The scaling prediction software of water injection well was developed. The quantity of CaCO3 scaling in the water injection well was predicted by using the software in Shengli Oilfield. The results show that the prediction accords with the real situation. Accurate prediction of the wellbore scaling can provide basis for taking scale control and scale removal measurement in oilfield.
出处
《中国石油大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2010年第1期114-117,共4页
Journal of China University of Petroleum(Edition of Natural Science)
关键词
结垢预测
注水井
井筒
数学模型
scaling prediction
water injection well
wellbore
mathematical model