In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device
In situ rapid classification of rock lithology is crucial in various fields, including geological exploration and petroleum logging. Laser-induced breakdown spectroscopy (LIBS) is particularly well-suited for in situ online analysis due to its rapid response time and minimal sample preparation requi...
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/2227-9040/13/1/18 |
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| author | Mengyang Zhang Hongbo Fu Huadong Wang Feifan Shi Saifullah Jamali Zongling Ding Bian Wu Zhirong Zhang |
| author_facet | Mengyang Zhang Hongbo Fu Huadong Wang Feifan Shi Saifullah Jamali Zongling Ding Bian Wu Zhirong Zhang |
| author_sort | Mengyang Zhang |
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| description | In situ rapid classification of rock lithology is crucial in various fields, including geological exploration and petroleum logging. Laser-induced breakdown spectroscopy (LIBS) is particularly well-suited for in situ online analysis due to its rapid response time and minimal sample preparation requirements. To facilitate in situ raw rock discrimination analysis, a portable LIBS device was developed specifically for outdoor use. This device built upon a previous multi-directional optimization scheme and integrated machine learning to classify seven types of original rock samples: mudstone, basalt, dolomite, sandstone, conglomerate, gypsolyte, and shale from oil logging sites. Initially, spectral data were collected from random areas of each rock sample, and a series of pre-processing steps and data dimensionality reduction were performed to enhance the accuracy and efficiency of the LIBS device. Subsequently, four classification algorithms—linear discriminant analysis (LDA), K-nearest neighbor (KNN), support vector machine (SVM), and extreme gradient boosting (XGBoost)—were employed for classification discrimination. The results were evaluated using a confusion matrix. The final average classification accuracies achieved were 95.71%, 93.57%, 92.14%, and 98.57%, respectively. This work not only demonstrates the effectiveness of the portable LIBS device in classifying various original rock types, but it also highlights the potential of the XGBoost algorithm in improving LIBS analytical performance in field scenarios and geological applications, such as oil logging sites. |
| format | Article |
| id | doaj-art-e6e9b23885f940878d0fff6536eb7bc5 |
| institution | Kabale University |
| issn | 2227-9040 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-e6e9b23885f940878d0fff6536eb7bc52025-01-24T13:26:54ZengMDPI AGChemosensors2227-90402025-01-011311810.3390/chemosensors13010018In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy DeviceMengyang Zhang0Hongbo Fu1Huadong Wang2Feifan Shi3Saifullah Jamali4Zongling Ding5Bian Wu6Zhirong Zhang7Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, ChinaAnhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaAnhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Physics and Optoelectronic Engineering, Anhui University, Hefei 230601, ChinaAnhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Physics and Optoelectronic Engineering, Anhui University, Hefei 230601, ChinaAnhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaScience Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, ChinaIn situ rapid classification of rock lithology is crucial in various fields, including geological exploration and petroleum logging. Laser-induced breakdown spectroscopy (LIBS) is particularly well-suited for in situ online analysis due to its rapid response time and minimal sample preparation requirements. To facilitate in situ raw rock discrimination analysis, a portable LIBS device was developed specifically for outdoor use. This device built upon a previous multi-directional optimization scheme and integrated machine learning to classify seven types of original rock samples: mudstone, basalt, dolomite, sandstone, conglomerate, gypsolyte, and shale from oil logging sites. Initially, spectral data were collected from random areas of each rock sample, and a series of pre-processing steps and data dimensionality reduction were performed to enhance the accuracy and efficiency of the LIBS device. Subsequently, four classification algorithms—linear discriminant analysis (LDA), K-nearest neighbor (KNN), support vector machine (SVM), and extreme gradient boosting (XGBoost)—were employed for classification discrimination. The results were evaluated using a confusion matrix. The final average classification accuracies achieved were 95.71%, 93.57%, 92.14%, and 98.57%, respectively. This work not only demonstrates the effectiveness of the portable LIBS device in classifying various original rock types, but it also highlights the potential of the XGBoost algorithm in improving LIBS analytical performance in field scenarios and geological applications, such as oil logging sites.https://www.mdpi.com/2227-9040/13/1/18laser-induced breakdown spectroscopyportable LIBSrock identificationXGBoostoil logging |
| spellingShingle | Mengyang Zhang Hongbo Fu Huadong Wang Feifan Shi Saifullah Jamali Zongling Ding Bian Wu Zhirong Zhang In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device Chemosensors laser-induced breakdown spectroscopy portable LIBS rock identification XGBoost oil logging |
| title | In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device |
| title_full | In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device |
| title_fullStr | In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device |
| title_full_unstemmed | In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device |
| title_short | In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device |
| title_sort | in situ classification of original rocks by portable multi directional laser induced breakdown spectroscopy device |
| topic | laser-induced breakdown spectroscopy portable LIBS rock identification XGBoost oil logging |
| url | https://www.mdpi.com/2227-9040/13/1/18 |
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