Rapidly determinating the principal components of natural gas distilled from shale with terahertz spectroscopy. (1st November 2015)
- Record Type:
- Journal Article
- Title:
- Rapidly determinating the principal components of natural gas distilled from shale with terahertz spectroscopy. (1st November 2015)
- Main Title:
- Rapidly determinating the principal components of natural gas distilled from shale with terahertz spectroscopy
- Authors:
- Leng, Wenxiu
Zhan, Honglei
Ge, Lina
Wang, Wei
Ma, Yue
Zhao, Kun
Li, Shuyuan
Xiao, Lizhi - Abstract:
- Highlights: The principal components of distillated gas were determined by THz-TDS. Different gas components can be directly distinguished by THz-TDS. THz combined with BPANN can be used to quantitatively determine the properties. THz-TDS could be an effective method in unconventional natural gas industry. Abstract: It is undeniable that more and more simple and rapid techniques are necessary to satisfy the increasing need of the gas detection in unconventional natural gas industry. Terahertz (THz) technique, a recently developed spectral method, was used to realize the identification and determination of the principal gas components distilled from oil shale, including methane (CH4 ), ethane (C2 H6 ), carbon monoxide (CO) and carbon dioxide (CO2 ). An obvious variation can be observed between the components after the measurement of THz. C2 H6 represented the largest refraction property because of the highest time delay relative to the reference, followed by CO2, CH4 and CO in turn. In addition, back propagation artificial neural network was employed to quantitatively characterize the components' content and the total pressure of the four-component system. The correlation coefficient of the prediction set in the quantitative model equalled 0.9955. The results indicated that THz technique combined with mathematical method is an effective tool for gas detection and can be popularized in unconventional natural gas industry.
- Is Part Of:
- Fuel. Volume 159(2015)
- Journal:
- Fuel
- Issue:
- Volume 159(2015)
- Issue Display:
- Volume 159, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 159
- Issue:
- 2015
- Issue Sort Value:
- 2015-0159-2015-0000
- Page Start:
- 84
- Page End:
- 88
- Publication Date:
- 2015-11-01
- Subjects:
- Terahertz -- Distilled gas -- Artificial neural networks -- Unconventional natural gas
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2015.06.072 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20884.xml