Home > Archive>Volume 15, Issue 4, 2019 >312-316. DOI:https://doi.org/10.1007/s11801-019-8161-y
PDF HTML XML Export Cite reminder
Quantitative analysis of multicomponent mud logging gas based on infrared spectra
CSTR:
[cstr]
Author:
Affiliation:

1. Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin 300387, China;2. School of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China;3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong

  • Article
    • | |
  • Metrics
    • |
  • Reference [12]
    • |
  • Related [20]
    • | | |
  • Comments
    Abstract:

    This work deals with quantitative analysis of multicomponent mud logging gas based on infrared spectra. An accurate analysis method is proposed by combining a genetic algorithm (GA) and a radial basis function neural network (RBFNN). The GA is used to screen the infrared spectrum of the mixed gas, while the selected spectral region is used as the input of the RBFNN to establish a calibration model to quantitatively analyze the components of logging gas. The analysis results demonstrate that the proposed GA-RBFNN performs better than FS-RBFNN and ES-RBFNN, and our proposed method is feasible.

    Reference
    [1] Pawe? M, Magdalena N, Maria B and Kaja P, Acta Geophysica 62, 83 (2014).
    [2] Jiaxin S, Fulong N, Nengyou W, Shi L, Ke Z, Ling Z and Guosheng J, Journal of Petroleum Science and Engineering 127, 259 (2015).
    [3] Hao L, Jinbo W, Baojiang S, Zhiming Y and Jinzhi Y, Journal of Petroleum Science and Engineering 151, 49 (2017).
    [4] Rubin Q, Xin Y, Li Y, Zhenhui D, Jin L and Kexin X, Spectroscopy and Spectral Analysis 28, 2855 (2008). (in Chinese)
    [5] Zhenhui D, Rubin Q, Huimin Z, Xin Y and Kexin X, Journal of Tianjin University (Science and Technology) 41, 589 (2008). (in Chinese)
    [6] Peng B, Yan L, Bin Z and Junhua L, Acta Photonica Sinica 37, 566 (2008). (in Chinese)
    [7] Abbas R, Eric P, Valeriu V, Rabih A and Hassan F, Mathematical Biosciences 289, 153 (2017).
    [8] Lei L, Jinyong L, Pu Z and Jinbao C, Optics Express 25, 19680 (2017).
    [9] Salim H, Modeling Earth Systems and Environment 2, (2016).
    [10] Cafer Mert Y, Ya?ar K, Halim T and U?ur ?, Journal of Environmental Radioactivity 175-176, 78 (2017).
    [11] Gulbag A, Temurtas F, Tasaltin C and Ziya ?ztürk Z, Sensors and Actuators B (Chemical) 124, 383 (2007).
    [12] Xiucheng D, Shouchun W, Renjin S and Suoqi Z, Petroleum Science 7,118 (2010).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

SONG Li-mei, GUO Su-qing, YANG Yan-gang, GUO Qing-hua, WANG Hong-yi, XIONG Hui. Quantitative analysis of multicomponent mud logging gas based on infrared spectra[J]. Optoelectronics Letters,2019,15(4):312-316

Copy
Share
Article Metrics
  • Abstract:877
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:October 11,2018
  • Revised:December 24,2018
  • Online: May 01,2020
Article QR Code
Phone：86-22-60214471
URL：http://www.oelett.com E-mail：oel@263.net
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
® 2025 All Rights Reserved