PDF(Pubmed)
Abstract：
Quantitative optical gas imaging (QOGI) system can rapidly quantify leaks detected by optical gas imaging (OGI) cameras across the oil and gas supply chain. A comprehensive evaluation of the QOGI system\'s quantification capability is needed for the successful adoption of the technology. This study conducted single-blind experiments to examine the quantification performance of the FLIR QL320 QOGI system under near-field conditions at a pseudo-realistic, outdoor, controlled testing facility that mimics upstream and midstream natural gas operations. The study completed 357 individual measurements across 26 controlled releases and 71 camera positions for release rates between 0.1 kg Ch4/h and 2.9 kg Ch4/h of compressed natural gas (which accounts for more than 90% of typical component-level leaks in several production facilities). The majority (75%) of measurements were within a quantification factor of 3 (quantification error of -67% to 200%) with individual errors between -90% and 831%, which reduced to -79% to +297% when the mean of estimates of the same controlled release from multiple camera positions was considered. Performance improved with increasing release rate, using clear sky as plume background, and at wind speeds ≤1 mph relative to other measurement conditions.
摘要：
定量光学气体成像（QOGI）系统可以快速量化石油和天然气供应链中光学气体成像（OGI）相机检测到的泄漏。为了成功采用该技术，需要对QOGI系统的量化能力进行全面评估。本研究进行了单盲实验，以检查FLIRQL320QOGI系统在伪逼真的近场条件下的量化性能，户外,模拟上游和中游天然气操作的受控测试设施。该研究完成了26个受控释放和71个摄像头位置的357个单独测量，释放速率在0.1kgCh4/h至2.9kgCh4/h之间压缩天然气（占几个生产设施中典型组件级泄漏的90％以上）。大多数（75％）的测量值在3的量化因子内（-67％至200％的量化误差），个体误差在-90％和831％之间，当考虑来自多个相机位置的相同受控释放的估计平均值时，其降低到-79％至297％。性能随着释放速率的增加而改善，使用晴朗的天空作为羽流背景，相对于其他测量条件，风速≤1mph。
