Automated rate of penetration optimization for drilling

Systems and methods for controlling drilling operations are provided. A controller for a drilling system may provide drilling parameters such as weight-on-bit and rotation rate parameters to the drilling system, based on a machine-learned reward policy and a model-based prediction. The machine-learn...

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Bibliographic Details
Main Authors Rangarajan, Keshava Prasad, Madasu, Srinath
Format Patent
LanguageEnglish
Published 26.07.2022
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Summary:Systems and methods for controlling drilling operations are provided. A controller for a drilling system may provide drilling parameters such as weight-on-bit and rotation rate parameters to the drilling system, based on a machine-learned reward policy and a model-based prediction. The machine-learned reward policy may be generated during drilling operations and used to modify recommended values from the model-based prediction for subsequent drilling operations to achieve a desired rate-of-penetration.
Bibliography:Application Number: US201816617591