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用光烷指纹鉴定油气生产中的排放物。

Use of Light Alkane Fingerprints in Attributing Emissions from Oil and Gas Production.

机构信息

Center for Energy and Environmental Resources , University of Texas at Austin , 10100 Burnet Road , Austin , Texas 78758 , United States.

Now at ONEOK , Tulsa , Oklahoma 74103 United States.

出版信息

Environ Sci Technol. 2019 May 7;53(9):5483-5492. doi: 10.1021/acs.est.8b05828. Epub 2019 Apr 8.

Abstract

Spatially resolved emission inventories were used with an atmospheric dispersion model to predict ambient concentrations of methane, ethane, and propane in the Eagle Ford oil and gas production region in south central Texas; predicted concentrations were compared to ground level observations. Using a base case inventory, predicted median propane/ethane concentration ratios were 106% higher (95% CI: 83% higher-226% higher) than observations, while median ethane/methane concentration ratios were 112% higher (95% CI: 17% higher-228% higher) than observations. Predicted median propane and ethane concentrations were factors of 6.9 (95% CI: 3-15.2) and 3.4 (95% CI: 1.4-9) larger than observations, respectively. Predicted median methane concentrations were 7% higher (95% CI: 39% lower-37% higher) than observations. These comparisons indicate that sources of emissions with high propane/ethane ratios (condensate tank flashing) were likely overestimated in the inventories. Because sources of propane and ethane emissions are also sources of methane emissions, the results also suggest that sources of emissions with low ethane/methane ratios (midstream sources) were underestimated. This analysis demonstrates the value of using multiple light alkanes in attributing sources of methane emissions and evaluating the performance of methane emission inventories for oil and natural gas production regions.

摘要

利用空间分辨排放清单和大气扩散模型,预测了德克萨斯州中南部鹰福特(Eagle Ford)油气生产区的环境甲烷、乙烷和丙烷浓度;预测浓度与地面观测值进行了比较。使用基础案例清单,预测的丙烷/乙烷浓度比中位数(95%置信区间:83%226%)比观测值高 106%,而乙烷/甲烷浓度比中位数(95%置信区间:17%228%)比观测值高 112%。预测的丙烷和乙烷浓度中位数分别比观测值高 6.9(95%置信区间:315.2)和 3.4(95%置信区间:1.49)倍。预测的甲烷浓度中位数比观测值高 7%(95%置信区间:39%~37%)。这些比较表明,排放清单中可能高估了丙烷/乙烷比值较高(凝析油罐闪蒸)的排放源。由于丙烷和乙烷排放源也是甲烷排放源,因此结果还表明,乙烷/甲烷比值较低(中游源)的排放源被低估了。这项分析表明,在归因于甲烷排放源和评估油气生产区甲烷排放清单的性能时,使用多种轻烷烃具有重要价值。

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