Tran Huy N Q, Lyman Seth N, Mansfield Marc L, O'Neil Trevor, Bowers Richard L, Smith Ann P, Keslar Cara
a Bingham Research Center, Utah State University , Vernal , UT , USA.
b Department of Chemistry and Biochemistry , Utah State University , Logan , UT , USA.
J Air Waste Manag Assoc. 2018 Jul;68(7):713-724. doi: 10.1080/10962247.2018.1426654. Epub 2018 May 11.
In this study, the authors apply two different dispersion models to evaluate flux chamber measurements of emissions of 58 organic compounds, including C2-C11 hydrocarbons and methanol, ethanol, and isopropanol from oil- and gas-produced water ponds in the Uintah Basin. Field measurement campaigns using the flux chamber technique were performed at a limited number of produced water ponds in the basin throughout 2013-2016. Inverse-modeling results showed significantly higher emissions than were measured by the flux chamber. Discrepancies between the two methods vary across hydrocarbon compounds and are largest in alcohols due to their physical chemistries. This finding, in combination with findings in a related study using the WATER9 wastewater emission model, suggests that the flux chamber technique may underestimate organic compound emissions, especially alcohols, due to its limited coverage of the pond area and alteration of environmental conditions, especially wind speed. Comparisons of inverse-model estimations with flux chamber measurements varied significantly with the complexity of pond facilities and geometries. Both model results and flux chamber measurements suggest significant contributions from produced water ponds to total organic compound emission from oil and gas productions in the basin.
This research is a component of an extensive study that showed significant amount of hydrocarbon emissions from produced water ponds in the Uintah Basin, Utah. Such findings have important meanings to air quality management agencies in developing control strategies for air pollution in oil and gas fields, especially for the Uintah Basin in which ozone pollutions frequently occurred in winter seasons.
在本研究中,作者应用两种不同的扩散模型来评估通量室对58种有机化合物排放的测量结果,这些有机化合物包括C2 - C11碳氢化合物以及甲醇、乙醇和异丙醇,来自犹他州尤因塔盆地油气生产废水池。在2013 - 2016年期间,在该盆地数量有限的废水池进行了使用通量室技术的现场测量活动。反演模型结果显示排放量显著高于通量室测量值。两种方法之间的差异因碳氢化合物种类而异,在醇类中差异最大,这是由于它们的物理化学性质。这一发现,结合另一项使用WATER9废水排放模型的相关研究结果,表明通量室技术可能低估了有机化合物的排放,尤其是醇类,因为其对池塘区域的覆盖有限以及环境条件的改变,特别是风速。反演模型估计值与通量室测量值的比较因池塘设施和几何形状的复杂性而有很大差异。模型结果和通量室测量都表明废水池对该盆地油气生产中总有机化合物排放有重大贡献。
本研究是一项广泛研究的一部分,该研究表明犹他州尤因塔盆地的废水池有大量碳氢化合物排放。这些发现对空气质量管理机构制定油气田空气污染控制策略具有重要意义,特别是对于冬季经常出现臭氧污染的尤因塔盆地。