Development of Methods for Top-Down Methane Emission Measurements of Oil and Gas Facilities in an Offshore Environment Using a Miniature Methane Spectrometer and Long-Endurance Uncrewed Aerial System

Brendan Smith, Stuart Buckingham, Daniel F. Touzel, A. Corbett, Charles Tavner
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Abstract

With atmospheric methane concentrations rising and spurring increased social concern, there is a renewed focus in the oil and gas industry on methane emission monitoring and control. In 2019, a methane emission survey at a bp asset west of Shetland was conducted using a closed-cavity methane spectrometer mounted onboard a long-endurance fixed-wing uncrewed aerial vehicle (UAV). This flight represents the first methane emissions survey of an offshore facility with a miniature methane spectrometer onboard a UAV with subsequent flights performed. A small laser spectrometer was modified from an open-cavity system to a closed-cavity onboard the aircraft and yielded in-flight detection limits (3 seconds) of 1,065 ppb methane above background for the 2019/2020 sensor version and 150 ppb for the 2021 sensor versions. Through simulation, the minimum detection limits of sensors in mass flow rate were determined to be 50 kg/h for the 2019/2020 campaign and 2.5 kg/h for the 2021 campaigns, translating to an obtainable measurement for 23% and 82% of assets reporting higher than 1 kg/h according to the 2019 Environmental Emissions Monitoring System (EEMS) data set, respectively. To operationalize the approach, a simulation tool for flight planning was developed using a Gaussian plume model and a scaled coefficient of variation to invoke expected methane concentration fluctuations at short time intervals. Two methods were developed to calculate offshore facility-level emission rates from the geolocated methane concentration data acquired during the emission surveys. Furthermore, a Gaussian plume simulator was developed to predict plume behavior and aid in error analysis. These methods are under evaluation, but all allow for the rapid processing (<24 hours) of results upon landing the aircraft. Additional flights were conducted in 2020 and 2021 with bp and several UK North Sea operators through a Net Zero Technology Centre (NZTC)-funded project, resulting in a total of 18 methane emission survey flights to 11 offshore assets between 2019 and 2021. The 2019 flight, and subsequent 2020–2021 flights, demonstrated the potential of the technology to derive facility-level emission rates to verify industry emission performance and data.
基于微型甲烷光谱仪和长航时无人机系统的海上油气设施自上而下甲烷排放测量方法的发展
随着大气中甲烷浓度的上升,引发了越来越多的社会关注,石油和天然气行业重新关注甲烷排放的监测和控制。2019年,英国石油公司在设得兰群岛以西的一处资产进行了甲烷排放调查,使用的是安装在长航时固定翼无人机(UAV)上的闭腔甲烷光谱仪。这次飞行代表了海上设施的首次甲烷排放调查,无人机上安装了微型甲烷光谱仪,随后进行了飞行。飞机上的小型激光光谱仪从开腔系统修改为闭腔系统,在飞行中检测限(3秒),2019/2020传感器版本的背景上方甲烷为1,065 ppb, 2021传感器版本的背景上方甲烷为150 ppb。通过模拟,传感器对质量流量的最小检测限在2019/2020年为50 kg/h,在2021年为2.5 kg/h,根据2019年环境排放监测系统(EEMS)数据集,分别为23%和82%的资产报告高于1 kg/h的可测量值。为了实现该方法,开发了一个飞行计划模拟工具,使用高斯羽流模型和缩放变异系数来调用短时间间隔内预期的甲烷浓度波动。根据排放调查期间获得的定位甲烷浓度数据,开发了两种方法来计算海上设施水平的排放率。此外,还开发了一个高斯羽流模拟器来预测羽流行为并帮助进行误差分析。这些方法正在评估中,但都允许在飞机着陆后快速处理结果(<24小时)。通过净零技术中心(NZTC)资助的项目,bp和几家英国北海运营商在2020年和2021年进行了额外的飞行,在2019年至2021年期间共对11个海上资产进行了18次甲烷排放调查飞行。2019年的飞行以及随后的2020-2021年的飞行,证明了该技术在计算设施级排放率以验证行业排放绩效和数据方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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