Citation: GUO Hong-Li, LIN Qing-Yu, WANG Shuai, XU Tao, GUO Guang-Meng, TIAN Di, DUAN Yi-Xiang. Analysis of Carbonaceous Shale by Laser-induced Breakdown Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2016, 44(11): 1639-1645. doi: 10.11895/j.issn.0253-3820.160509
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Gas shale is one of the important unconventional hydrocarbon source rocks, whose composition, such as mineral components and trace elements, has been proven as important geochemical proxies playing essential roles in indicating the gas potential and gas productivity in recent geological researches. Fast and accurate measurements of the shale composition will reveal rich information for understanding and evaluation of gas shale reservoirs. In this paper, we demonstrated the potentiality as well as feasibility of laser-induced breakdown spectroscopy (LIBS) as an effective technique to perform spectrochemical analysis for shale samples. For this experiment, a Nd:YAG laser at the fundamental wavelength of 1064 nm provided pulses for the shale materials. An echelle spectrometer equipped with an ICCD camera was employed to disperse and record the spectra. Meanwhile, five shale samples were collected at different depth from 2396 m to 3428 m. The LIBS device was used to obtain the spectrum, and combined with the principal component score of each spectrum to draw a two-dimensional diagram. The obtained results revealed that more than 350 lines emitted by 22 different elements were found. Among these species, major elements like Si, Al, Fe, Ca, Mg, K and Na, and redox sensitive trace elements such as Cu, Cr, Ni, Sr, and Ni were detected with high signal-to-noise ratio. In principal component scores diagram, different types of carbonaceous shale were obviously separated, and the results were consistent with the spectra classification. The observed results also show that laser-induced breakdown spectroscopy combined with principal component analysis (PCA) method can be used for carbonaceous shale discriminant field in the future, providing scientific data and means to improve classification performance and enhance the exploitation and evaluation of gas shale reservoirs.
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