In the process of oil exploration and development, it becomes difficult to identify the lithology of cuttings due
to the small size of cutting particles produced by extensively used Polycrystalline Diamond Compact (PDC)
drill bit. Laser Induced Breakdown Spectroscopy (LIBS) is an appealing technique compared with many
other conventional analysis methods due to its simple set-up, on-line, real time, stand off and multi-element
analytical capabilities. In this paper, a newly developed approach for cuttings identification using
laser-induced breakdown spectroscopy was introduced. Principal component analysis (PCA) and partial least
squares (PLS) were applied to analyze LIBS spectra of three drill cuttings to perform cuttings identification.
With the purpose of reducing workload and improving predictive accuracy, 23 characteristic spectra ranges
were extracted as "fingerprints" from each integrated LIBS spectrum. Leave-one-out cross-validation method
(LOO-CV) was used to evaluate the predictive capability of this approach. All the LIBS spectra were identified
correctly under a lax criterion. The obtained preliminary results demonstrated the potential feasibility of cutting
identification using LIBS in combination with chemometric methods.