Evaluation of Current and Emerging Methane Emission Quantification Tools for Upstream Oil and Gas Facilities

气候变化导致大规模灭绝、灾难、移民和日益严重的社会不公，所有这些都随着地球变暖而迅速加剧。上游石油和天然气部门是加拿大境内人为甲烷排放的第二大来源，这导致加拿大和世界各地的干旱、森林火灾和热浪惊人地上升。为了减少这些排放，正在引入新的政策和法规来减少设施、操作和过程中的甲烷排放。因此，加拿大的石油和天然气生产商和省级监管机构需要技术和方法来清查甲烷排放，并确定减少这些排放的最具成本效益的战略。气候测量仪的模拟需要可靠的排放数据，省级和联邦政府使用这些数据来为履行国际条约义务和避免气候变化的最坏后果所需的政策提供信息。为了满足这一需求，加拿大石油技术联盟(PTAC)和清洁资源创新网络(CRIN)委托滑铁卢大学(UW)与专门从事甲烷排放分析的加拿大中小企业Arolytics，Inc.和致力于开发减少温室气体排放技术的非营利性组织加拿大碳管理公司合作，调查可用的候选甲烷量化系统，并确定最适合减少上游石油和天然气作业排放的系统。UW、Aeroytics和CMC将结合他们互补的专业知识和资源，通过重建关键工业排放情景的统计分析、实验室测试和现场试验来评估系统。至关重要的是，华盛顿大学的团队将制定严格的统计程序，以评估甲烷排放量估计的不确定性，排放数据的最终用户需要这些数据来解释这些数量。

Climate change causes mass extinctions, disasters, migrations, and growing social injustice, all of which arerapidly intensifying as the planet warms. The upstream oil and gas sector is the second largest source ofanthropogenic methane emissions within Canada, which contribute to an alarming rise in droughts, forest fires,and heat waves across Canada and around the world. In order to curtail these emissions, new policies andregulations are being introduced to reduce methane emissions from facilities, operations, and processes.Accordingly, Canada's oil and gas producers and provincial regulators need technologies and methods toinventory methane emissions, and identify the most cost-effective strategies to reduce these emissions. Climatemodellers need reliable emissions data for their simulations, which provincial and federal governments use toinform policy needed to fulfil international treaty obligations and avoid the worst consequences of climatechange.In order to address this need, the Petroleum Technology Alliance Canada (PTAC) and the Clean ResourcesInnovation Network (CRIN) have commissioned the University of Waterloo (UW), in partnership withArolytics, Inc., a Canadian SME specializing in methane emissions analytics, and Carbon ManagementCanada, a not-for-profit organization committed to developing technology for reducing greenhouse gasemissions, to survey available candidate methane quantifications systems, and identify those most suitable forreducing emissions from upstream oil and gas operations. UW, Arolytics, and CMC will combine theircomplementary expertise and resources to evaluate systems through statistical analysis, laboratory testing, andfield trials that recreate key industrial emission scenarios. Crucially, the UW team will develop rigorousstatistical procedures for assessing the uncertainty of methane emissions estimates, which end-users ofemissions data need to interpret these quantities.