Application of dimensionality reduction technique to improve geophysical log data classification performance in crystalline rocks
| Autor: | Yao Yevenyo Ziggah, Xiurong Cao, Heping Pan, Margaret Oloo, Huolin Ma, Ahmed Amara Konaté, Nashir Khan |
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| Rok vydání: | 2015 |
| Předmět: |
business.industry
Computer science Dimensionality reduction Context (language use) Pattern recognition Geophysics Geotechnical Engineering and Engineering Geology Linear discriminant analysis Physics::Geophysics Support vector machine Set (abstract data type) Nonlinear system Fuel Technology Principal component analysis Artificial intelligence business Curse of dimensionality |
| Zdroj: | Journal of Petroleum Science and Engineering. 133:633-645 |
| ISSN: | 0920-4105 |
| DOI: | 10.1016/j.petrol.2015.06.035 |
| Popis: | In this study, dimensionality reduction technique to improve geophysical log data classification performance in crystalline rocks is presented. In fact, in complex geological situations such as the study area in context, more complex nonlinear functional behaviors exist for well log classification purpose; thus posing challenges in accurate identification of log curves for this purpose. Dimensionality reduction (DR) using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were used here to reduce the dimensionality of the original log set of Chinese Continental Scientific Drilling Main Hole to a convenient size, and then feed the reduced-log set into the classifiers. Three classifiers were addressed, namely, Support vector Machines, Feed forward Back Propagation and Radial Basis Function Neural Networks in the classification of metamorphic rocks. The strategy of combining dimensionality reduction methods and classifiers was demonstrated and discussed. The results showed that the reduced log sets found from DR can separate the metamorphic rocks types better or almost as well as the original log set. Therefore LDA and PCA can be suitable to be performed before geophysical well log data classification in the context of crystalline rocks. |
| Databáze: | OpenAIRE |
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