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2023
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Application of soft computing approaches for modeling fluid transport ratio of slim-hole wells in one of Iranian central oil fields
Earth Science Informatics,
2023
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Machine Learning and Flow Assurance in Oil and Gas Production
2023
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Journal of Natural Gas Science and Engineering,
2022
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2022
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Cuttings Bed Height Prediction in Microhole Horizontal Wells with Artificial Intelligence Models
Energies,
2022
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2022
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Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models
Energies,
2021
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Application of Response Surface Methodology and Box–Behnken Design for the Optimization of the Stability of Fibrous Dispersion Used in Drilling and Completion Operations
ACS Omega,
2021
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A systematic review of data science and machine learning applications to the oil and gas industry
Journal of Petroleum Exploration and Production Technology,
2021
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ACS Omega,
2021
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A review of technological advances and open challenges for oil and gas drilling systems engineering
AIChE Journal,
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Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques
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AIChE Journal,
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An Innovative System Architecture for Real-Time Monitoring and Alarming for Cutting Transport in Oil Well Drilling
Abu Dhabi International Petroleum Exhibition & Conference,
2019
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Cuttings-Transport Modeling–Part 1: Specification of Benchmark Parameters With a Norwegian-Continental-Shelf Perspective
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Prediction of Cutting Concentration in Horizontal and Deviated Wells Using Support Vector Machine
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Cuttings transport modeling in underbalanced oil drilling operation using radial basis neural network
Egyptian Journal of Petroleum,
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Prediction of frictional pressure loss for multiphase flow in inclined annuli during Underbalanced Drilling operations
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Cuttings Transport Modeling - Part 1: Specification of Benchmark Parameters with a Norwegian Continental Shelf Perspective
SPE Bergen One Day Seminar,
2016
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Application of Artificial Intelligence Techniques in Drilling System Design and Operations: A State of the Art Review and Future Research Pathways
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