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

上游油气设施现有和新兴甲烷排放量化工具的评估

基本信息

  • 批准号:
    571135-2021
  • 负责人:
  • 金额:
    $ 1.83万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alliance Grants
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

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.
气候变化会导致大规模灭绝,灾难,迁移和日益增长的社会不公,所有这些都随着行星的温暖而加剧。上游的石油和天然气部门是加拿大境内第二大的人类甲烷排放量,这导致了加拿大及世界各地的干旱,森林大火和热浪的令人震惊的增加。为了减少这些排放,正在引入新的政策和规模,以减少设施,运营和过程中的甲烷排放。相当方面,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,以使甲烷排放,并确定最具成本效益的策略来减少这些排放。 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加拿大中小型企业专门从事甲烷排放分析,以及一个非营利组织Carbon ManagementCanada,致力于开发用于减少温室气体的技术,调查可用的候选甲烷量化系统,并确定那些最合适的上游石油和天然气运营中最合适的人。 UW,Arolytics和CMC将通过统计分析,实验室测试,和菲尔德试验来评估系统的全面专业知识和资源,从而重现关键工业排放方案。至关重要的是,大学团队将开发严格的统计程序来评估甲烷排放估计的不确定性,最终用户的数据需要解释这些数量。

项目成果

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Daun, Kyle其他文献

Daun, Kyle的其他文献

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{{ truncateString('Daun, Kyle', 18)}}的其他基金

Laser-Based Diagnostics for Aerosolized Nanoparticles
基于激光的雾化纳米颗粒诊断
  • 批准号:
    RGPIN-2018-03756
  • 财政年份:
    2022
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Discovery Grants Program - Individual
Laser-Based Diagnostics for Aerosolized Nanoparticles
基于激光的雾化纳米颗粒诊断
  • 批准号:
    RGPIN-2018-03756
  • 财政年份:
    2021
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Discovery Grants Program - Individual
In situ optical diagnostics for characterizing the coating transformation of aluminized steel during hot stamping
用于表征热冲压过程中渗铝钢涂层转变的原位光学诊断
  • 批准号:
    555905-2020
  • 财政年份:
    2021
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    $ 1.83万
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    Alliance Grants
In situ optical diagnostics for characterizing the coating transformation of aluminized steel during hot stamping
用于表征热冲压过程中渗铝钢涂层转变的原位光学诊断
  • 批准号:
    555905-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Alliance Grants
Laser-Based Diagnostics for Aerosolized Nanoparticles
基于激光的雾化纳米颗粒诊断
  • 批准号:
    RGPIN-2018-03756
  • 财政年份:
    2020
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Discovery Grants Program - Individual
Enhanced pyrometry for continuous galvanizing of advanced high strength steel
先进高强度钢连续镀锌的强化高温测量
  • 批准号:
    521291-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Collaborative Research and Development Grants
Laser-Based Diagnostics for Aerosolized Nanoparticles
基于激光的雾化纳米颗粒诊断
  • 批准号:
    522654-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Laser-Based Diagnostics for Aerosolized Nanoparticles
基于激光的雾化纳米颗粒诊断
  • 批准号:
    RGPIN-2018-03756
  • 财政年份:
    2019
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Discovery Grants Program - Individual
Enhanced pyrometry for continuous galvanizing of advanced high strength steel
先进高强度钢连续镀锌的强化高温测量
  • 批准号:
    521291-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Collaborative Research and Development Grants
Enhanced FTIR spectrometry for characterizing the radiative properties of surfaces
用于表征表面辐射特性的增强型 FTIR 光谱分析
  • 批准号:
    RTI-2020-00082
  • 财政年份:
    2019
  • 资助金额:
    $ 1.83万
  • 项目类别:
    Research Tools and Instruments

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  • 项目类别:
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