{"title":"Machine Learning Methods in the Williston: A Case Study in Productivity Decay and the Implications for Inventory Exhaustion","authors":"B. L. Myers, B. Davis, R. Duman, T. Cross","doi":"10.15530/urtec-2021-5303","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":219222,"journal":{"name":"Proceedings of the 9th Unconventional Resources Technology Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th Unconventional Resources Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15530/urtec-2021-5303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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