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

气候变化导致大规模的迁徙、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、森林火灾和热浪令人担忧地增加。为了减少这些排放，新的政策和法规正在出台，以减少设施、操作和工艺过程中的甲烷排放。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点甲烷排放，并确定最具成本效益的战略来减少这些排放。气候模拟者需要可靠的排放数据来进行模拟，省和联邦政府利用这些数据来制定政策，以履行国际条约义务，避免气候变化的最坏后果。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Arolytics公司合作，一家专门从事甲烷排放分析的加拿大中小企业，以及一家致力于开发减少温室气体排放技术的非营利组织Carbon ManagementCanada，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业务排放的系统。UW、Arolytics和CMC将结合联合收割机互补的专业知识和资源，通过统计分析、实验室测试和现场试验来评估系统，重现关键的工业排放情景。至关重要的是，华盛顿大学的团队将开发严格的统计程序来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.