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Citation: CHEN Nan, YANG Yan-Ting, TIAN Di, DUAN Yi-Xiang. Determination of Eight Kinds of Elements in Cuttings by Logging Special Laser-induced Breakdown Spectrometer[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(1): 74-80. doi: 10.11895/j.issn.0253-3820.171206 shu

Determination of Eight Kinds of Elements in Cuttings by Logging Special Laser-induced Breakdown Spectrometer

1.
College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130012, China;2 College of Life Science, Sichuan University, Chengdu 610065, China;3 Chengdu Aliben Science & Technology Co Ltd., Chengdu 610065, China

Received Date: 29 August 2017
Revised Date: 18 September 2017

Fund Project: This work was supported by the National Major Scientific Instruments and Equipments Special Project (No. 2011YQ030113 and 2016YFF0103303).

It is one of the necessary work in oil and gas exploration and development to record the logging of different depth cuttings. In this study, a laser induced breakdown spectrometer (LIBS-Trace) developed by our research group was used for the lithology logging in the field of oil and gas exploration and development. A total of 60 samples from a drilling site in the Southwest China were divided into training set and test set, and then element quantitative analysis model of eight elements of Si, Al, Ca, K, Mg, Mn, Ti and Fe was established based on support vector machine regression (SVR). The results showed that the mean percentage prediction errors (MPE) predicted by this method were Si 5.68%, Al 7.22%, Ca 7.45%, K 9.76%, Mg 8.79%, Mn 11.9%, Ti 11.4% and Fe 10.4%, which met the requirements of logging work. In addition, according to the logging process and demand, the instrument hardware and software were modified, and the quantitative model integrated in the instrument was optimized. The results showed that the algorithm model combined with the instrument could quickly complete the quantitative analysis of rock debris samples, and exhibited potential application value and broad application prospect in oil and gas exploration and development.
- Laser induced breakdown spectrometer,
- Cutting,
- Support vector machine regression,
- Quantitative analysis
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