awojinrin/ML-Workflow-for-the-Determination-of-Hole-Cleaning-Conditions
A repo containing Jupyter notebooks where ensemble algorithms are investigated to attempt predicting the downhole concentration of cuttings in oil wells using surface data.
This project helps drilling engineers quickly assess how well cuttings are being removed from oil wells, especially in deviated sections. By inputting surface drilling data like fluid density, flow rate, and pipe rotation, it predicts the downhole concentration of cuttings. This information allows engineers to make better decisions about drilling fluid programs to prevent costly problems.
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Use this if you are a drilling engineer looking for a way to predict downhole cuttings concentration using surface operational data to optimize hole cleaning.
Not ideal if you need to model other drilling parameters beyond cuttings concentration or require real-time, in-situ sensor data for predictions.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 15, 2022
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