{"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}
引用次数: 1
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.