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Updated: May 16, 2026
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Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
[Study of cuttings identification using laser-induced breakdown spectroscopy].
Ye Tian1, Zhen-nan Wang, Hua-ming Hou
1Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China. ty5851366@126.com
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|November 20, 2012
Summary
Laser-Induced Breakdown Spectroscopy (LIBS) combined with chemometrics offers a rapid and valid method for identifying oil drilling cuttings. This approach significantly enhances data processing efficiency for geological logging.
Area of Science:
- Geochemistry
- Analytical Chemistry
- Spectroscopy
Context:
- Cutting identification is crucial in oil drilling operations.
- Traditional methods can be time-consuming and less efficient.
- Accurate identification aids in understanding subsurface geology.
Purpose:
- To evaluate Laser-Induced Breakdown Spectroscopy (LIBS) for identifying oil drilling cuttings.
- To apply multivariate analysis, specifically Partial Least Squares-Discriminant Analysis (PLS-DA), for data processing.
- To compare the performance of a whole spectra model versus a feature model.
Summary:
- LIBS was used to analyze four types of drilling cuttings.
- Two models were developed: a whole spectra model (88.3% accuracy) and a feature model (86.7% accuracy).
- Feature extraction reduced data complexity from 24,041 to 27 variables, improving processing efficiency.
Impact:
- LIBS coupled with chemometrics provides a rapid and valid approach for cutting identification.
- This method shows significant potential for application in oil drilling and geological logging.
- Enhanced data processing efficiency is a key benefit for real-time analysis.
