Constructing a Spatially Resolved Methane Emission Inventory for the Barnett Shale Region
Constructing a Spatially Resolved Methane Emission Inventory for the Barnett Shale Region
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DOI：
10.1021/es506359c
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发表时间：
2015-07-07
影响因子：
11.4
通讯作者：
Hamburg, Steven P.
中科院分区：
文献类型：
--
作者：
Lyon, David R.;Zavala-Araiza, Daniel;Hamburg, Steven P.
通过构建一个空间分辨的排放清单，估计了巴内特页岩地区石油和天然气工业（O&G）和其他来源的甲烷排放量。18个源类别估计使用多个数据集，包括新的经验测量在区域O&G网站和国家研究的收集和加工设施。空间参考活动数据汇编从联邦和国家数据库，并结合O&G设施的排放因子计算使用蒙特卡罗模拟，占高排放网站的非常上部，或肥尾，在观察到的排放分布。2013年10月，巴内特页岩区25个县的甲烷排放总量估计为72，300（63，400 - 82，400）kg CH 4 h（-1）。O&G排放量估计为46，200（40，000 - 54，100）kg CH 4 h（-1），其中19%的排放量来自肥尾站点，占不到站点的2%。我们对巴内特页岩地区的O&G排放量的估计高于基于美国环境保护署（EPA）温室气体清单、EPA温室气体报告计划和全球大气研究排放数据库的替代清单，分别为1.5、2.7和4.3倍。在我们的库存中，占O&G排放量40%的集气压缩机站与基于EPA数据源的排放量估计差异最大。我们的清单较高的O&G排放估计主要是由于其更全面的活动因素和包括肥尾站点的排放。
Methane emissions from the oil and gas industry (O&G) and other sources in the Barnett Shale region were estimated by constructing a spatially resolved emission inventory. Eighteen source categories were estimated using multiple data sets, including new empirical measurements at regional O&G sites and a national study of gathering and processing facilities. Spatially referenced activity data were compiled from federal and state databases and combined with O&G facility emission factors calculated using Monte Carlo simulations that account for high emission sites representing the very upper portion, or fat-tail, in the observed emissions distributions. Total methane emissions in the 25-county Barnett Shale region in October 2013 were estimated to be 72,300 (63,400-82,400) kg CH4 h(-1). O&G emissions were estimated to be 46,200 (40,000-54,100) kg CH4 h(-1) with 19% of emissions from fat tail sites representing less than 2% of sites. Our estimate of O&G emissions in the Barnett Shale region was higher than alternative inventories based on the United States Environmental Protection Agency (EPA) Greenhouse Gas Inventory, EPA Greenhouse Gas Reporting Program, and Emissions Database for Global Atmospheric Research by factors of 1.5, 2.7, and 4.3, respectively. Gathering compressor stations, which accounted for 40% of O&G emissions in our inventory, had the largest difference from emission estimates based on EPA data sources. Our inventory's higher O&G emission estimate was due primarily to its more comprehensive activity factors and inclusion of emissions from fat-tail sites.