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    Volume 41 Issue 11
    Nov.  2016
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    Article Navigation >  Earth Science  > 2016  >  41(11): 1921-1934
    Wang Qianru, Chen Honghan, Hu Shouzhi, Zhao Yutao, Chen Huiqin, 2016. Curve-Fitting Analysis of Micro FT-IR and Its Application on Individual Oil Inclusion and Micro-Area Bitumens. Earth Science, 41(11): 1921-1934. doi: 10.3799/dqkx.2016.133
    Citation: Wang Qianru, Chen Honghan, Hu Shouzhi, Zhao Yutao, Chen Huiqin, 2016. Curve-Fitting Analysis of Micro FT-IR and Its Application on Individual Oil Inclusion and Micro-Area Bitumens. Earth Science, 41(11): 1921-1934. doi: 10.3799/dqkx.2016.133
    shu

    Curve-Fitting Analysis of Micro FT-IR and Its Application on Individual Oil Inclusion and Micro-Area Bitumens

    doi: 10.3799/dqkx.2016.133
    • 1.

      Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China

    • 2.

      Jilin Oil Field Exploitation Research Institute, PetroChina, Songyuan 138001, China

    • Received Date: 2016-01-10
    • Publish Date: 2016-11-15
      Abstract
    • Curve-fitting analysis of micro FT-IR, in the theory of Gaussian, Lorentz function or their combination (Gaussian-Lorentz) model, can break through the limit of overlapping spectra resulting from complicated structures of samples (e.g. individual oil inclusion and bitumens). Hence, curve-fitting analysis of micro FT-IR was used for analyzing maturity of individual oil inclusion and the origin of bitumens in Shuntuoguole area of Tazhong northeastern slope systematically, and four conclusions have been obtained: firstly, curve-fitting analysis of micro FT-IR may be more accurate for calculating absorption peaks, and some easily neglected peaks can be detected by this method in contrast with the method of interval oriented by Pironon. Secondly, Gaussian-Lorentz fitting is more approaching to actual spectra and the lower noise level is corresponding to better fit but requiring longer computation time. As a result, Gaussian-Lorentz fitting with 1~10 noise level is preferred. Thirdly, based on inclusion system analysis and burial history projection with homogenization temperature, infrared parameters (e.g. CH2a/CH3a, Xinc and Xstd) reveal three hydrocarbon charging events occurred, including Late Caledonian, Late Hercynian and the Himalaya. Finally, micro FT-IR is an effective means for analyzing multi-hydrocarbon charging events and complicated origin of bitumens undergoing biodegradation, oxidative degradation and water eluviation quantitatively in study area.

       

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