{"title":"基于MFCC的电相谱图系数提取方法的研究","authors":"Daniil D. Ruigo, Vladislav L. Litvinov","doi":"10.1109/CTS53513.2021.9562942","DOIUrl":null,"url":null,"abstract":"This paper describes the method of preparing spectral data of electric logging for convolutional neural network models based on mel-frequency cepstral coefficients methodology as a part of automatisation of facies analysis. As an example, the allocation of coefficients for two types of facies is considered. The result of the research show the possibility of using the considered method for preparing spectral data of electric logging.","PeriodicalId":371882,"journal":{"name":"2021 IV International Conference on Control in Technical Systems (CTS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a Method for Extracting Coefficients of Spectrograms of Electrofacies based on MFCC\",\"authors\":\"Daniil D. Ruigo, Vladislav L. Litvinov\",\"doi\":\"10.1109/CTS53513.2021.9562942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the method of preparing spectral data of electric logging for convolutional neural network models based on mel-frequency cepstral coefficients methodology as a part of automatisation of facies analysis. As an example, the allocation of coefficients for two types of facies is considered. The result of the research show the possibility of using the considered method for preparing spectral data of electric logging.\",\"PeriodicalId\":371882,\"journal\":{\"name\":\"2021 IV International Conference on Control in Technical Systems (CTS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IV International Conference on Control in Technical Systems (CTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CTS53513.2021.9562942\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IV International Conference on Control in Technical Systems (CTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS53513.2021.9562942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a Method for Extracting Coefficients of Spectrograms of Electrofacies based on MFCC
This paper describes the method of preparing spectral data of electric logging for convolutional neural network models based on mel-frequency cepstral coefficients methodology as a part of automatisation of facies analysis. As an example, the allocation of coefficients for two types of facies is considered. The result of the research show the possibility of using the considered method for preparing spectral data of electric logging.