首页> 外文学位 >VOC emission monitoring at Eagle Ford Shale Oil and Gas production sites using a wireless sensor network (WSM).
【24h】

VOC emission monitoring at Eagle Ford Shale Oil and Gas production sites using a wireless sensor network (WSM).

机译:使用无线传感器网络(WSM)在Eagle Ford页岩油气生产基地进行VOC排放监控。

获取原文
获取原文并翻译 | 示例

摘要

This thesis is intended to evaluate the potential for deploying wireless sensor networks in order to meet New Source Performance Standard (NSPS) requirements by EPA (Environment Protection Agency) at Eagle Ford Shale Oil and Gas production sites. At specific drilling sites we have deployed the commercial photoionization detector (PID) sensor networks. The total non- methane hydrocarbon (TNMH) levels were monitored by the PIDs through ionizing the organic compounds with an UV light and quantifying the ions that produced with an electric field and amplifying circuit. Also, we used SummaRTM canisters and the PIDs to collect the sample of the same air column in an emission monitor set up to illustrate the accuracy of the data from the wireless sensor network. A chromatography-mass spectrometry (GC-MS) analyses was performed on the Summa RTM canister samples for speciated non-methane VOCs using the EPA's TO-15 gas method. Consequently a very strong correlation was found between the time-averaged PID sensor total non-methane VOC readings and the time-average speciated GC-MS toluene, methylcyclohexane, heptane and total speciated non-methane VOCs concentrations.
机译:本文旨在评估部署无线传感器网络以满足EPA(环境保护署)在Eagle Ford页岩油气生产基地的新源性能标准(NSPS)要求的潜力。在特定的钻探现场,我们已经部署了商用光电离检测器(PID)传感器网络。通过用紫外线将有机化合物电离,并量化由电场和放大电路产生的离子,通过PID监控总的非甲烷碳氢化合物(TNMH)含量。此外,我们使用SummaRTM滤罐和PID在收集器中收集了同一空气柱的样品,以说明无线传感器网络中数据的准确性。使用EPA的TO-15气体方法对Summa RTM罐样品进行了色谱-质谱分析(GC-MS),以分析特定的非甲烷VOC。因此,在时间平均PID传感器的总非甲烷VOC读数与时间平均指定的GC-MS甲苯,甲基环己烷,庚烷和总指定的非甲烷VOC浓度之间发现了非常强的相关性。

著录项

  • 作者

    Yan, Xinghan.;

  • 作者单位

    Texas A&M University - Kingsville.;

  • 授予单位 Texas A&M University - Kingsville.;
  • 学科 Environmental engineering.;Computer science.;Electrical engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 54 p.
  • 总页数 54
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:48:49

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号