Inter-comparison of Direct Quantification and Areal Micrometeorological Methods to Investigate the Transport and Fate of Methane from Heterogeneous Sources in Natural Gas Fields

直接定量与区域微气象方法研究天然气田非均质源甲烷运移与归宿的对比

• 批准号: 1804024
• 负责人: Derek Johnson
• 金额: $ 32.18万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1804024&HistoricalAwards=false
• 关键词: Inter; comparison; Direct; Quantification; Areal

The use of natural gas is increasing worldwide. Methane, the primary component of natural gas, is a highly potent greenhouse gas (GHG) that contributes to climatic changes. Recent research suggests that methane can be released from natural gas fields, but large uncertainties in these data do not allow accurate quantification of the amount. The proposed research will reduce this uncertainty and advance knowledge in measurement methods and modeling tools for the quantification of methane emissions in natural gas fields. The project will support graduate and undergraduate researcher from underrepresented engineering students in rural Appalachia, addressing societal needs for broadening participation in science and engineering. If successful, the results of this research will help protect the Nation's energy security by potentially influencing regulatory activities and improving the efficiency of natural gas production.Due to maturation of technologies such as directional drilling and enhanced recovery, natural gas production continues to grow in the U.S. However, the magnitude and fate of leaking methane emissions from natural gas fields remain highly uncertain and unresolved. Recent studies show significant variations in methane losses, from less than 1% to 17% of the total natural gas produced. These large variations are generally attributed to uncertainty in top-down (indirect aerial fluxes or downwind measurements) and bottom-up (direct component level measurements and emissions factors) estimates, which include measurement uncertainty and a general lack of high fidelity data sets. The goal of this research is to reduce these uncertainties by collecting and analyzing temporal top-down measurements of methane fluxes and environmental variables based on eddy-covariance flux techniques and Gaussian plume measurements in concert with direct bottom-up measurements. This research will employ advanced data analytics using empirical models and artificial intelligence to improve the mechanistic understanding of methane emissions in natural gas fields across West Virginia and the greater Appalachian region. Accurate quantification with indirect measurement techniques would decrease the need for the labor-intensive leak detection schemes currently employed. The research findings will be broadly disseminated through peer-reviewed publications and conference presentations. The researchers will leverage industrial collaborations at the Marcellus Shale Energy and Environmental Laboratory (MSEEL) in Morgantown, WV, to communicate the research outcomes. The research group will also work with the West Virginia University Energy Institute to develop outreach materials and conduct seminars in the Marcellus region.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

全球天然气的使用量正在不断增加。甲烷是天然气的主要成分，是一种强效温室气体 (GHG)，会导致气候变化。 最近的研究表明，天然气田可以释放甲烷，但这些数据存在很大的不确定性，无法准确量化其量。拟议的研究将减少这种不确定性，并增进对天然气田甲烷排放量化的测量方法和建模工​​具的了解。该项目将为阿巴拉契亚农村地区代表性不足的工程专业学生的研究生和本科生研究人员提供支持，满足扩大科学和工程参与的社会需求。如果成功，这项研究的结果将通过潜在地影响监管活动和提高天然气生产效率来帮助保护国家能源安全。由于定向钻井和强化采收率等技术的成熟，天然气产量持续增长然而，美国天然气田泄漏甲烷排放的规模和命运仍然高度不确定且悬而未决。最近的研究表明，甲烷损失量存在显着变化，从天然气产量的不到 1% 到 17%。这些巨大的变化通常归因于自上而下（间接空气通量或顺风测量）和自下而上（直接成分水平测量和排放因子）估计的不确定性，其中包括测量不确定性和普遍缺乏高保真度数据集。本研究的目标是通过收集和分析基于涡协方差通量技术和高斯羽流测量的甲烷通量和环境变量的时间自上而下测量值以及直接自下而上测量值来减少这些不确定性。这项研究将利用经验模型和人工智能进行先进的数据分析，以提高对西弗吉尼亚州和大阿巴拉契亚地区天然气田甲烷排放的机理理解。通过间接测量技术进行准确量化将减少对目前采用的劳动密集型泄漏检测方案的需求。研究结果将通过同行评审的出版物和会议演讲广泛传播。研究人员将利用西弗吉尼亚州摩根敦马塞勒斯页岩能源和环境实验室 (MSEEL) 的工业合作来传达研究成果。该研究小组还将与西弗吉尼亚大学能源研究所合作，开发推广材料并在马塞勒斯地区举办研讨会。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Continuous OTM 33A Analysis of Controlled Releases of Methane with Various Time Periods, Data Rates and Wind Filters

不同时间段、数据速率和风过滤器的甲烷受控释放的连续 OTM 33A 分析

• DOI: 10.3390/environments7090065
• 发表时间: 2020-09
• 期刊: Environments
• 影响因子: 3.7
• 作者: Heltzel, Robert S.;Zaki, Mohammed T.;Gebreslase, Aron K.;Abdul;Johnson, Derek R.
• 通讯作者: Johnson, Derek R.

On the Long-Term Temporal Variations in Methane Emissions from an Unconventional Natural Gas Well Site

非常规天然气井场甲烷排放的长期时间变化

• DOI: 10.1021/acsomega.1c00874
• 发表时间: 2021-06-08
• 期刊: ACS Omega
• 影响因子: 4.1
• 作者: Johnson D;Heltzel R
• 通讯作者: Heltzel R

Machine learning techniques to increase the performance of indirect methane quantification from a single, stationary sensor

机器学习技术可提高单个固定传感器间接甲烷定量的性能

• DOI: 10.1016/j.heliyon.2022.e11962
• 发表时间: 2022-12
• 期刊: Heliyon
• 影响因子: 4
• 作者: Heltzel, Robert S.;Johnson, Derek R.;Zaki, Mohammed T.;Gebreslase, Aron K.;Abdul
• 通讯作者: Abdul

Understanding the Accuracy Limitations of Quantifying Methane Emissions Using Other Test Method 33A

了解使用其他测试方法 33A 量化甲烷排放的准确性限制

• DOI: 10.3390/environments9040047
• 发表时间: 2022-04
• 期刊: Environments
• 影响因子: 3.7
• 作者: Heltzel, Robert;Johnson, Derek;Zaki, Mohammed;Gebreslase, Aron;Abdul
• 通讯作者: Abdul