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稠油出砂监测器安装位置数值模拟及实验验证
引用本文:贾宗文,曹砚锋,刘刚,武广瑷,王锴. 稠油出砂监测器安装位置数值模拟及实验验证[J]. 石油钻采工艺, 2019, 41(5): 676-680. DOI: 10.13639/j.odpt.2019.05.020
作者姓名:贾宗文  曹砚锋  刘刚  武广瑷  王锴
作者单位:1.中海油研究总院有限责任公司钻采研究院
基金项目:国家科技重大专项“海上稠油油田高效开发钻采技术”(编号:2016ZX05025-002);中海石油(中国)有限公司综合科研项目“生产井出砂管理及监测设备工程化技术研究”(编号:YXKY-2018-ZY-02)
摘    要:非侵入式的稠油出砂监测技术是通过安装在管壁的传感器接收砂粒撞击信号实现出砂监测,为获得最优的砂粒撞击振动信号,保障出砂数据的可靠性和准确性,需要找到传感器在90°弯管处的最优安装位置。在室内条件下,建立了油水砂三相流的弯道流动模型,通过Fluent软件模拟了含砂油流在90°弯管中的运动轨迹,确定了砂粒在弯道流动的撞击管壁速度最大位置在弯管下游约管道直径2倍处,同时,通过建立的多相含砂流体出砂监测实验平台,对安装在不同位置的传感器的出砂监测信号进行了对比分析,验证了多相流条件下的理论模拟结果。研究表明,在弯管下游约2倍管径处安装传感器可以得到最可靠的出砂信号,该模拟研究结果为现场应用过程中传感器的安装提供了重要理论依据,保障了出砂监测数据的可靠性。

关 键 词:稠油   出砂   出砂监测   传感器   安装位置   油水砂三相流   数值模拟   室内验证

Numerical simulation and experimental verification on the installation position of sand production monitoring sensor in heavy oil wells
Affiliation:1.Drilling and Production Research Institute, CNOOC Research Institute Company Limited, Beijing 100028, China2.School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, Shandong, China
Abstract:The non-intrusive sand production monitoring technology for the heavy oil production is to monitor the sand production by using the sensor installed on the pipe wall to receive the sand impinging signals. In order to get the optimal vibration signals of sand impinging and ensure the reliability and accuracy of sand production data, it is necessary to determine the optimal installation position of the sensor in the 90° elbow. In this paper, a flow-in-bend model for oil-water-sand three-phase flow was established under the indoor conditions. The movement trajectory of sand containing oil flow in the 90° elbow was simulated using Fluent software. It is determined that sand’s highest impact velocity on the pipe wall while flowing in the bend occurs at twice the pipeline diameter. What’s more, the sand production monitoring signals of the sensors installed at different positions were comparatively analyzed by means of the experimental platform for monitoring the sand production of multi-phase sand containing fluid. And based on this, the theoretical simulation results under the condition of multi-phase flow were verified. It is indicated that the most reliable sand production signal can be obtained by installing the sensor at twice the pipeline diameter in the downstream of the elbow. The simulation research results provide the important theoretical basis for the installation of the sensor in the process of field application, so as to ensure the reliability of sand production monitoring data.
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