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深水气井水合物沉积预测新模型
引用本文:高永海,孟文波,崔燕春,张崇,陈野,董钊,孙金声,孙宝江. 深水气井水合物沉积预测新模型[J]. 石油学报, 2019, 40(8): 975-982. DOI: 10.7623/syxb201908008
作者姓名:高永海  孟文波  崔燕春  张崇  陈野  董钊  孙金声  孙宝江
作者单位:1. 中国石油大学(华东)非常规油气开发教育部重点实验室 山东青岛 266580;2. 中国石油大学(华东)石油工程学院 山东青岛 266580;3. 中海石油(中国)有限公司湛江分公司 广东湛江 524057
基金项目:国家自然科学基金项目(No.51876222)、教育部创新团队项目(IRT_14R58)和中国海洋石油集团公司重大专项"深水测试关键技术研究"(CNOOC-KJ135ZDXM05LTDZJ02)资助。
摘    要:由水合物聚结、沉积导致的井筒堵塞是气井测试中常见的安全隐患。预测水合物的生成与沉积规律,有利于控制事故风险、降低生产损失。通过对水合物颗粒在管流气核区和管壁附近的生成与运移机理分析的基础上,引入液滴沉积比率和转化比率,建立了一种适用于环雾流条件下的水合物沉积预测新模型,并参照实际工况设计了实验验证。实验结果表明,理论值与实验值趋势一致,平均偏差为4.9%,验证了模型的可靠性。以深水井X井为例,通过数值模拟探究了不同位置处水合物沉积规律。试算结果表明,水合物沉积堵塞过程可以划分为4个阶段,其中初始沉积阶段、临界沉积阶段所占时间比例较短,而沉积亚稳态生长阶段、沉积快速生长阶段所占时间比例较长。水合物堵塞主要发生在井筒偏上部分,尤其是井口附近。随着深度的增长,水合物沉积速率与沉积厚度逐渐减少,且减小幅度逐渐增大,堵塞风险减小。

关 键 词:深水  水合物颗粒  转化比率  沉积预测模型  沉积规律  
收稿时间:2018-07-10
修稿时间:2019-06-10

A new prediction model for hydrate deposition in deepwater gas well
Gao Yonghai,Meng Wenbo,Cui Yanchun,Zhang Chong,Chen Ye,Dong Zhao,Sun Jinsheng,Sun Baojiang. A new prediction model for hydrate deposition in deepwater gas well[J]. Acta Petrolei Sinica, 2019, 40(8): 975-982. DOI: 10.7623/syxb201908008
Authors:Gao Yonghai  Meng Wenbo  Cui Yanchun  Zhang Chong  Chen Ye  Dong Zhao  Sun Jinsheng  Sun Baojiang
Affiliation:1. Key Laboratory of Unconventional Oil & Gas Development, Ministry of Education, China University of Petroleum, Shandong Qingdao 266580, China;2. School of Petroleum Engineering, China University of Petroleum, Shandong Qingdao 266580, China;3. Zhanjiang Branch, CNOOC China Limited, Guangdong Zhanjiang 524057, China
Abstract:The wellbore blockage caused by hydrate coalescence and deposition is a common safety hazard in gas well testing. The prediction on hydrate formation and deposition laws is conductive to control accident risk and reduce production loss. This paper analyzes the formation and migration of hydrate particles at the tube center and inner wall, respectively. Through introducing the droplet deposition ratio and conversion ratio, a new hydrate deposition prediction model suitable for annular mist flow has been established on the basis of mechanism analysis; it has been verified by experiment simulating the actual reaction under field conditions. The theoretical and experimental values show the same trend with an average deviation of 4.9%, thus validating the reliability of the model. Taking a deepwater well as a case, the hydrate deposition laws at different positions have been studied by numerical simulation. The calculation results indicate that the hydrate deposition and blockage process can be divided into four stages, in which the initial deposition stage and the critical deposition stage account for shorter time, while the deposition metastable growth stage and the deposition rapid growth stage account for longer time. Hydrate blockage mainly occurs in the upper part of wellbore, especially the area near the wellhead. With the increase of depth, the hydrate deposition rate and deposition layer thickness gradually decrease, and the decreasing range increases gradually, reducing the wellbore blockage risk.
Keywords:deepwater  hydrate particle  conversion ratio  deposition prediction model  deposition rules  
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