摘要
对3类常见产能试井资料异常原因进行分析,以最小二乘法原理为理论基础,建立基于二项式产能方程的统一形式的数学模型,为气井产能试井异常资料处理提供了一种新方法。应用实例证实:该方法有效且实用,能够有效地还原真实测试资料,为准确把握气井生产动态、开展气井产能评价与配产等相关分析奠定了基础,具有一定的应用价值。
To provide a new method for processing abnormal deliverability testing data of the gas well,this paper builds a unified mathematical model based on least squares method and binomial deliverability equation,by analyzing abnormal reason of deliver-ability testing data of the gas well.Application examples demonstrates the effectiveness and practicality of this method,and it can restore the true test data effectively,which lays the foundation for mastering gas production changes,carrying out the evaluation of productivity and allocating the production.
出处
《中国科技论文》
CAS
北大核心
2015年第17期2046-2049,共4页
China Sciencepaper
基金
国家自然科学基金资助项目(41272363)
中石油科研基金资助项目(9512013Y0514)
关键词
产能试井
产能方程
异常资料
最小二乘法
deliverability testing
productivity equation
abnormal data
least squares method
