{"title":"机器学习如何取代传统的口译","authors":"D. Sacrey, R. Roden","doi":"10.3997/2214-4609.201803011","DOIUrl":null,"url":null,"abstract":"This presentation shows severaed classification process in successful case histories of the sample-basully finding hydrocarbons and delineating reservoir limits. This type of machine learning is especially good for thin bed exploration as it allows for stratigraphic pattern recognition below conventional seismic tuning.","PeriodicalId":231338,"journal":{"name":"First EAGE/PESGB Workshop Machine Learning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How Machine Learning Is Replacing Conventional Interpretation\",\"authors\":\"D. Sacrey, R. Roden\",\"doi\":\"10.3997/2214-4609.201803011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This presentation shows severaed classification process in successful case histories of the sample-basully finding hydrocarbons and delineating reservoir limits. This type of machine learning is especially good for thin bed exploration as it allows for stratigraphic pattern recognition below conventional seismic tuning.\",\"PeriodicalId\":231338,\"journal\":{\"name\":\"First EAGE/PESGB Workshop Machine Learning\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First EAGE/PESGB Workshop Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201803011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First EAGE/PESGB Workshop Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201803011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How Machine Learning Is Replacing Conventional Interpretation
This presentation shows severaed classification process in successful case histories of the sample-basully finding hydrocarbons and delineating reservoir limits. This type of machine learning is especially good for thin bed exploration as it allows for stratigraphic pattern recognition below conventional seismic tuning.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
