基于红外辐射与近红外吸收光谱特性的管内气液两相流检测技术研究

Energy is the world's hot issues of common concern. With the increasing tension of oil and gas resources, it is essential that how to achieve its scientific and rational development, utilization of low-carbon production and energy conservation. Because the measurement without the separation of crude oil and gas is an effective way, people pay growing attention to the key technical basis----gas-liquid flow detection. Based on the others' research results, the early experimental accumulation of the project team, theoretical analysis and model simulation, the project proposed the gas-liquid two-phase flow detection based on infrared radiation and infrared absorption characteristics. To design the optimal structure detection system which is to measure the characteristics of flow and infrared radiation and spectral absorption in the gas-liquid system, it combined theoretical, experimental and simulation. The project used infrared thermal imaging, infrared cameras and image recognition technology, and gas-liquid two-phase infrared absorption spectrum of information processing technology. More importantly, it established the physical model and related algorithms between gas-liquid two-phase flow rate and the infrared properties, and achieved the goal of a more accurate test, which provides a new way of thinking to measure gas and liquid together.

能源是当今世界普遍关注的热点问题，随着油气资源的日益紧张，如何对其进行科学合理的开发利用，实现低碳生产、节能减排至关重要，油气井口流体不分离计量是实现这一目标的有效途径之一，气液两相流检测技术是油气井口流体不分离计量的关键技术基础，因而越来越被人们所重视。本项目针对这一问题而展开，在总结借鉴他人研究成果及项目组前期实验积累、理论分析与模型仿真的基础上，提出了基于红外辐射与近红外吸收光谱特性的气液两相流检测技术，利用理论、实验、仿真研究相结合的方法，设计检测系统的最优结构，研究新测量系统内气液两相流动特性及红外辐射与近红外吸收光谱特性，利用红外热成像、红外摄像及图像识别技术，气液两相流近红外吸收光谱信息处理技术，建立气液两相流相含率与红外特性关联的物理模型以及相关算法，实现气液两相流相含率的较准确检测，为气液两相流量不分离测量提供一种新思路。

利用理论、实验、仿真研究相结合的方法，设计气液两相流相含率检测系统的最优结构，研究测量系统内气液两相流动特性及近红外吸收光谱特性，建立气气液两相流近红外吸收光谱特性与流型及相含率的关系模型，并进行了模型验证及误差分析，实现气液两相流相含率的较准确检测，为气液两相流量不分离测量提供一种新思路。