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Reasonable Assurance of Accuracy of GHG Data Under Mandatory Reporting for the Upstream and Midstream Oil and Gas Industry: Fuel Samples

机译:合理的保证上游和中游石油和天然气行业强制性报告下的温室气体数据准确性:燃料样本

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The United States Environmental Protection Agency and California Air Resources Board’s Greenhouse Gas (GHG) Reporting Programs for the oil and gas industry specify rigorous fuel sampling requirements. Efficient resolution of fuel sample data management issues requires an understanding of the lifecycle within the GHG universe. This paper explores different issues associated with fuel sampling data and best methods for proactive sample data management. The lifecycle of sample data encompasses six stages: (1) Identification of a Representative Fuel Sample Point; (2) the Sampling Process; (3) Data Generation; (4) Data Capture; (5) Data Transfer; and (6) Data Consumption. Issues can arise at any stage and affect data accuracy. Efficient compliance with GHG programs requires efficient management of fuel sample data. Lifecycle assessment of fuel sample data and proactive identification of potential pitfalls enables a company to develop appropriate controls and performance indicators. A robust sample management program not only helps with GHG compliance assurance, but also other regulatory compliance programs (for example, Title V).
机译:美国环保局和加州空气资源委员会的温室气体(GHG)石油和天然气行业报告计划规定了严格的燃油采样要求。有效分辨率的燃料采样数据管理问题需要了解GHG Universe内的生命周期。本文探讨了与燃料采样数据相关的不同问题以及主动示例数据管理的最佳方法。样品数据的生命周期包括六个阶段:(1)识别代表燃料采样点; (2)抽样过程; (3)数据生成; (4)数据捕获; (5)数据转移; (6)数据消耗。在任何阶段都可以出现问题并影响数据准确性。高效遵守GHG计划需要有效管理燃料采样数据。 Lifecycle对燃料采样数据的评估和潜在陷阱的主动识别使公司能够制定适当的控制和绩效指标。强大的示例管理程序不仅有助于GHG合规保证,而且有助于保证,而且还有助于其他法规合规计划(例如,标题V)。

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