Anomaly detection with domain specific shapelet learning for sucker rod pump system. [PDF]
Sci RepLi X, Liao Z, Yuan C.
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Construction method for three-dimensional dynamic configuration of reciprocating sucker rod string in actual wellbore. [PDF]
Sci RepZhao R +6 more
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Efficient Model of the Interaction of Elastomeric Filler with an Open Shell and a Chrome-Plated Shaft in a Dry Friction Damper. [PDF]
Materials (Basel), 2022 Dutkiewicz M +3 more
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Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning. [PDF]
Sci RepYang S, Zhou B, Wang Y, Liu W.
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Sensitivity analysis for enhancing crude oil recovery with continuous flow gas lift: A study in reference to the porous media of the upper Assam basin, India. [PDF]
Heliyon, 2023 Neog D.
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Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM. [PDF]
Sensors (Basel), 2020 Cheng H +5 more
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Addressing Diverse Petroleum Industry Problems Using Machine Learning Techniques: Literary Methodology-Spotlight on Predicting Well Integrity Failures. [PDF]
ACS Omega, 2022 Salem AM, Yakoot MS, Mahmoud O.
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Ensemble learning for prediction of inorganic scale formation: A case study in Oman. [PDF]
Sci RepAl Harrasi MTS, Kazemi A, Yousefzadeh R.
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Semi-Supervised Class-Incremental Sucker-Rod Pumping Well Operating Condition Recognition Based on Multi-Source Data Distillation. [PDF]
Sensors (Basel)Zhao W, Zhou B, Wang Y, Liu W.
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Digital transformation: a review on artificial intelligence techniques in drilling and production applications. [PDF]
Int J Adv Manuf Technol, 2022 D'Almeida AL +6 more
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