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Scanning, standoff TDLAS leak imaging and quantification

机译：扫描，备用TDLAS泄漏成像和量化

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This paper reports a novel quantitative gas plume imaging tool, based on active near-infrared Backscatter Tunable Diode Laser Absorption Spectroscopy (b-TDLAS) technology, designed for upstream natural gas leak applications. The new tool integrates low-cost laser sensors with video cameras to create a highly sensitive gas plume imager that also quantifies emission rate, all in a lightweight handheld ergonomic package. It is intended to serve as a lower-cost, higher-performance, enhanced functionality replacement for traditional passive non-quantitative mid-infrared Optical Gas Imagers (OGI) which are utilized by industry to comply with natural gas infrastructure Leak Detection and Repair (LDAR) requirements. It addresses the need for reliable, robust, low-cost sensors to detect and image methane leaks, and to quantify leak emission rates, focusing on inspections of upstream oil and gas operations, such as well pads, compressors, and gas plants. It provides: 1) Colorized quantified images of path-integrated methane concentration. The images depict methane plumes (otherwise invisible to the eye) actively interrogated by the laser beam overlaid on a visible camera image of the background. The detection sensitivity exceeds passive OGI, thus simplifying the manual task of leak detection and location; and 2) Data and algorithms for using the quantitative information gathered by the active detection technique to deduce plume flux (i.e. methane emission rate). This key capability will enable operators to prioritize leak repairs and thereby minimize the value of lost product, as well as to quantify and minimize greenhouse gas emissions, using a tool that meets EPA LDAR imaging equipment requirements.
机译：本文报告了一种新型定量气体羽流成像工具，基于有源近红外反向散射可调二极管激光吸收光谱（B-TDLAS）技术，专为上游天然气泄漏应用而设计。新工具将低成本的激光传感器与摄像机集成，以创建一个高敏感的气体羽流成像仪，这些成像器也量化了排放率，所有内容都在轻量级的手持式符合人体工程学包中。它旨在作为由工业利用的传统被动非定量中红外光学气体成像仪（OGI）的较低成本，更高的性能，增强的功能替代品，该替换是由行业使用的，以符合天然气基础设施泄漏检测和修复（LDAR ） 要求。它解决了可靠，坚固，低成本传感器来检测和图像泄漏的需求，并量化漏极排放率，专注于上游石油和气体操作的检查，例如垫子，压缩机和煤气厂。它提供：1）较色的路径集成甲烷浓度的量化图像。图像描绘了甲烷羽（否则眼睛不可见）由覆盖在背景的可见摄像机图像上的激光束主动地询问。检测灵敏度超过无源OGI，从而简化了泄漏检测和位置的手动任务; 2）用于使用主动检测技术收集的定量信息的数据和算法来推导羽毛通量（即甲烷排放率）。这种关键能力将使运营商能够优先考虑泄漏维修，从而最大限度地减少丢失产品的价值，并使用满足EPA LDAR成像设备要求的工具量化和最小化温室气体排放。

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