Narasimman Sundararajan, Suad Al Handhali, Mohammed Al Aamril
{"title":"超越传统方法:用于预测声波测井曲线的混合监督学习和特征选择算法——阿曼北部致密砂岩的一项研究","authors":"Narasimman Sundararajan, Suad Al Handhali, Mohammed Al Aamril","doi":"10.1504/ijogct.2023.10059018","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":14176,"journal":{"name":"International Journal of Oil, Gas and Coal Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beyond conventional approach: hybrid supervised learning and feature selection algorithms for prediction sonic logs - a study in a tight gas sand, North of Oman\",\"authors\":\"Narasimman Sundararajan, Suad Al Handhali, Mohammed Al Aamril\",\"doi\":\"10.1504/ijogct.2023.10059018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":14176,\"journal\":{\"name\":\"International Journal of Oil, Gas and Coal Technology\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Oil, Gas and Coal Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijogct.2023.10059018\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Oil, Gas and Coal Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijogct.2023.10059018","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Beyond conventional approach: hybrid supervised learning and feature selection algorithms for prediction sonic logs - a study in a tight gas sand, North of Oman