Optics and Precision Engineering, Volume. 30, Issue 10, 1151(2022)
Application of cavity-enhanced gas Raman spectroscopy in gas logging
Currently, gas logging relies primarily on the use of a gas chromatograph equipped with a flame ionization detector, whose sustaining flame must be distanced from the wellhead for safety. However, the elongated sampling tube delays the response time of detection. To meet the requirements of high sensitivity and rapid multi-component gas detection in gas logging, a gas Raman spectroscopy detection system based on multi-reflection cavity enhancement is developed. This system is compact and portable and can detect numerous gases, including alkanes, hydrogen, and carbon dioxide, simultaneously with high sensitivity. In this study, we first describe the design and parameters of the gas Raman spectroscopy detection system, followed by testing the working performance of the Raman system for analyzing alkane gases and non-hydrocarbon gases. Experimental results demonstrate that the gas Raman spectroscopy detection system has good linearity for methane, hydrogen, and carbon dioxide detection. The limits of detection were 30, 201, and 495 ppm, respectively. Finally, the system was applied to the Shengli oilfield in Dongying, Shandong province, China. The experimental results of the Raman spectroscopy system are in good agreement with those from the gas chromatograph method. Unlike gas chromatographic devices, the developed Raman system has the capability of detecting hydrogen and offering advantages in time resolution. In conclusion, the Raman system design used in this study can fulfill the requirements of high sensitivity and rapid and multi-component detection in gas logging.
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Andong KONG, Dewang YANG, Jinjia GUO, Lulu WU, Aoshuang YAN, Faju ZHOU, Yaqi WAN. Application of cavity-enhanced gas Raman spectroscopy in gas logging[J]. Optics and Precision Engineering, 2022, 30(10): 1151
Category: Modern Applied Optics
Received: Nov. 19, 2021
Accepted: --
Published Online: Jun. 1, 2022
The Author Email: GUO Jinjia (opticsc@ouc.edu.cn)