CCUS智能注入井井下流量计的研制

Development of Downhole Flowmeter for CCUS Intelligent Injection Wells

  • 摘要: 为了提高CO2驱油纵向动用程度和缓解层间不均难题,实现井下流量准确测试,在流量计选型基础上,根据卡门涡街效应原理,通过结构设计及理论分析,研制了适用于井下测量超临界CO2流量的涡街流量计。该流量计通过检测漩涡分离频率计算流量,雷诺数为4.73×104~4.73×105时,测量结果不受流体密度、黏度的影响;流量为5~50 m3/d时,对于白油和水不同配比的混合流体,室内流量重复性测试曲线重合度接近100%,最大相对误差仅1.73%。现场试验表明,2口井测得的分层实际注入量与配注量的差值符合工程要求。研究表明,设计的涡街流量计可以准确测量井下超临界CO2的流量,解决了井下小空间超临界CO2流量精准测量的难题,为CCUS智能注入提供了关键工具,对提高CO2驱油效率具有重要作用。

     

    Abstract: To enhance vertical mobility of CO2 flooding, mitigate interlayer heterogeneity, and achieve accurate downhole flow measurement, a vortex flowmeter for measuring underground supercritical CO2 flow was developed based on the selection of flowmeters, combined with the principle of Karman vortex street effect, structural design, and theoretical analysis. This flowmeter calculated the flow rate by detecting the frequency of vortex separation. Within the Reynolds number range of 4.73×104 to 4.73×105, the measurement results were not affected by the density or viscosity of the fluid. In the range of flow rates from 5 to 50 m3/d for the mixed fluids of white oil and water with different ratios, the correlation degree of the laboratory flow repetition test curves was approximately 100%, and the maximum relative error was only 1.73%. The field test showed that the differences between the actual injection volume and the allocated injection volume measured in the two wells at the site were in line with the engineering requirements. Research showed that the designed vortex shedding flowmeter can accurately measure the flow rate of underground supercritical CO2, solving the problem of precise measurement of the flow rate of supercritical CO2 in downhole small space. It provides a key tool for intelligent injection of carbon capture, utilization and storage (CCUS) and is of great significance for improving the efficiency of CO2 flooding.

     

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