{"title":"利用基于图像的机器学习进行地质特征预测","authors":"T. D. Jobe, E. Vital-Brazil, M. Khait","doi":"10.30632/PJV59N6-2018A1","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49703,"journal":{"name":"Petrophysics","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Geological Feature Prediction Using Image-Based Machine Learning\",\"authors\":\"T. D. Jobe, E. Vital-Brazil, M. Khait\",\"doi\":\"10.30632/PJV59N6-2018A1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49703,\"journal\":{\"name\":\"Petrophysics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Petrophysics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30632/PJV59N6-2018A1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, PETROLEUM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Petrophysics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30632/PJV59N6-2018A1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, PETROLEUM","Score":null,"Total":0}
期刊介绍:
Petrophysics contains original contributions on theoretical and applied aspects of formation evaluation, including both open hole and cased hole well logging, core analysis and formation testing.