Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"Drilling optimization"”.
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Development of drilling optimization models for autonomous rotary drilling systems.
… and performance improvement techniques in drilling operations. Traditional drilling methods depend on the effectiveness of the human-driller in the management of operating parameters to improve system performance. Although existing work has identified the need to upscale from manual …
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Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field
… Penetration prediction is pivotal for optimizing drilling efficiency, yet conventional models often neglect subsurface heterogeneity and rely heavily on operational parameters. This thesis introduces a subsurface-centric deep learning framework for ROP prediction based solely on well log data, …
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Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field
… Penetration prediction is pivotal for optimizing drilling efficiency, yet conventional models often neglect subsurface heterogeneity and rely heavily on operational parameters. This thesis introduces a subsurface-centric deep learning framework for ROP prediction based solely on well log data, …