Proceedings of the 9th Unconventional Resources Technology Conference最新文献

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Triaxial Direct-shear Reveals the True Magnitude of Shear Fracture Roughness Effects on Flow 三轴直接剪切揭示了剪切断裂粗糙度对流动影响的真实程度
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5536
M. Meng, L. Frash, J. Carey, N. Welch, Wenfeng Li, Samantha K. Peterson
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引用次数: 0
Characterization and Remediation of Scale in Three Horizontal Wells in the Point Pleasant Formation, Appalachia, PA 阿巴拉契亚州Point Pleasant地层三口水平井结垢特征及修复
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5391
Amanda S. Roberts, E. Fonseca, Thomas N. Tekavec
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引用次数: 0
A Physically Consistent Decline Analysis Method for Unconventional Wells 非常规井物理一致性递减分析方法
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5096
J. Acuña
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引用次数: 0
Impact of EOR Huff-n-Puff on Rock Microstructure 提高采收率吞吐对岩石微观结构的影响
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5664
Sidi Mamoudou, A. Tinni, M. Curtis, C. Sondergeld, C. Rai
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引用次数: 3
Quantification of Thermal Effects on Cross-Well Low-Frequency Distributed Acoustic Sensing Measurements 井间低频分布声传感测量的热效应量化
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5527
Yongzan Liu, Kan Wu, G. Jin, G. Moridis
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引用次数: 0
Are Unconventional Well Performance Gains Exhausted? Investigating the Drivers of Year-over-Year Production Improvements Across the Major US Unconventional Plays Using Machine Learning 非常规井的增产成果是否已经耗尽?利用机器学习研究美国主要非常规油气藏产量逐年提高的驱动因素
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5263
T. Cross, J. Chaplin, K. Sathaye, A. Cui
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引用次数: 0
Autoregressive and Machine Learning Driven Production Forecasting - Midland Basin Case Study 自回归和机器学习驱动的产量预测-米德兰盆地案例研究
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5184
I. Gupta, O. Samandarli, A. Burks, V. Jayaram, D. McMaster, D. Niederhut, T. Cross
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引用次数: 3
Use of Machine Learning Production Driver Cross-Sections for Regional Geologic Insights in the Bakken-Three Forks Play 利用机器学习生产驱动截面分析Bakken-Three Forks区块区域地质信息
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5549
T. Cross, K. Sathaye, J. Chaplin
{"title":"Use of Machine Learning Production Driver Cross-Sections for Regional Geologic Insights in the Bakken-Three Forks Play","authors":"T. Cross, K. Sathaye, J. Chaplin","doi":"10.15530/urtec-2021-5549","DOIUrl":"https://doi.org/10.15530/urtec-2021-5549","url":null,"abstract":"","PeriodicalId":219222,"journal":{"name":"Proceedings of the 9th Unconventional Resources Technology Conference","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130691763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data to Decision: A Unified and Rapid Workflow for Unconventional Reservoirs Blending Data Analytics, Physics-Based Completion Optimization, and Investor-Oriented Economics 数据决策:非常规油藏混合数据分析、基于物理的完井优化和投资者导向经济的统一快速工作流程
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5454
G. Voneiff, Peter D Bastian
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引用次数: 0
Case Study of a Wireline Deployable Spearhead Acid in the Denver-Julesburg Basin 丹佛-朱尔斯堡盆地电缆可部署先锋酸的案例研究
Proceedings of the 9th Unconventional Resources Technology Conference Pub Date : 2021-07-26 DOI: 10.15530/urtec-2021-5046
K. Yocham, D. Allison, M. Schwartz
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引用次数: 0
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