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产水气井稳定点二项式产能方程及其应用
引用本文:陆家亮,涂梅桂,刘晓华,肖前华.产水气井稳定点二项式产能方程及其应用[J].科学技术与工程,2016,16(6):66-69.
作者姓名:陆家亮  涂梅桂  刘晓华  肖前华
作者单位:中国石油勘探开发研究院廊坊分院,中国科学院渗流流体力学研究所,中国石油勘探开发研究院廊坊分院,重庆科技学院石油与天然气工程学院
基金项目:致密砂岩气有效开发评价技术
摘    要:对于存在底水、边水、层间水的气藏,在开发过程中,易出现气水两相流动。准确评价气井产能对于合理开发气藏具有重要意义。从渗流力学的基本原理出发,结合质量守恒方程,引入水气比参数,建立气水两相拟稳定渗流的数学模型,推导出气水两相渗流的稳定点二项式产能方程。根据此方程,结合不稳定试井解释资料,以及一个稳定点的数据,能够确定气井开始产水时的无阻流量以及生产过程中不同时间段的无阻流量。作出对应的流入动态关系曲线图,只需在生产过程中测得一个稳定点资料即可,无需单独做产能试井,为准确认识产水气井的产能提供了理论基础。

关 键 词:产水气井  产能评价  气水两相渗流  产能方程  无阻流量
收稿时间:2015/11/6 0:00:00
修稿时间:2015/11/6 0:00:00

Stable point binomial productivity equation of water-being gas well and application
LU Jia-liang;TU Mei-gui;LIU Xiao-hua;XIAO Qian-hua.Stable point binomial productivity equation of water-being gas well and application[J].Science Technology and Engineering,2016,16(6):66-69.
Authors:LU Jia-liang;TU Mei-gui;LIU Xiao-hua;XIAO Qian-hua
Institution:LU Jia-liang;TU Mei-gui;LIU Xiao-hua;XIAO Qian-hua;Langfang Branch of Research Institute of Petroleum Exploration & Development,Petro China;Institute of Porous Flow Mechanics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;The oil and Gas Engineering Institute Chongqing University of Science and Technology;
Abstract:During developing the gas reservoirs, it appears easily the gas and water two-phase flow due to the existence of bottom water, edge water and interlayer water. It is great significant to accurate evaluation of gas well productivity for the rational development of gas reservoir. Based on the basic principle of seepage mechanics and combined with the mass conservation equation, introduced the parameter of water-gas ratio, mathematical model of gas-water two-phase pseudo-steady state flow has been established and the stable point binomial deliverability equation of gas-water two-phase flow has been deduced. According to the equation, combined transient test interpretation data and one stable point data, the open flow potential can be determined accurately at the beginning of water-breakthrough in gas wells and in different periods of production process, making the corresponding dynamic IPR curve. Just need a stable point in the process of production, without doing separate productivity well testing, which providing theoretical foundation for knowing accurately of deliverability evaluation of water-producing gas well.
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