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 UAS

Brendan Smith, Stuart Buckingham, Daniel F. Touzel, A. Corbett, Charles Tavner
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引用次数: 2

Abstract

With atmospheric methane concentrations rising, 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 unmanned 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. The campaign entailed gathering high-density methane concentration data in a cylindrical flight pattern that circumnavigated the facility in close proximity. A small laser spectrometer was modified from an open-cavity system to a closed-cavity onboard the aircraft and yielded in-flight detection limits (3s) of 1065ppb methane above background for the 2019/2020 sensor version and 150ppb for the 2021 sensor versions. Through simulation, the sensors minimum detection limits in mass flow rate were determined to be 50 kg/h for the 2019/2020 campaign and 2.5kg/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 EEMS dataset, respectively. To operationalize the approach, a simulation tool for flight planning was developed utilizing a gaussian plume model and a scaled coefficient of variation to invoke expected methane concentration fluctuations at short time intervals. The simulation is additionally used for creation of synthetic datasets to test and validate algorithm development. 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 (<24h) of results upon landing the aircraft. Additional flights were conducted in 2020 and 2021 with bp and several UK North Sea Operators through 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 2020/21 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。该活动需要收集高密度甲烷浓度数据,以圆柱形飞行模式绕着设施近距离飞行。飞机上的一个小型激光光谱仪从开腔系统修改为闭腔系统,在2019/2020传感器版本中产生的飞行中检测限(3s)为1065ppb高于背景的甲烷,在2021传感器版本中产生150ppb。通过仿真,确定了2019/2020赛季传感器对质量流量的最小检测限为50 kg/h, 2021赛季为2.5kg/h;根据2019年EEMS数据集,分别有23%和82%的资产报告高于1千克/小时。为了实现该方法,开发了一个飞行计划模拟工具,利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。该模拟还用于创建合成数据集,以测试和验证算法开发。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的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2020/21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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