Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models

Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models

Effectively transporting drilled cuttings to the surface is a vital part of the well construction process. Usually, mechanistic models are used to estimate the cuttings concentration during drilling. Based on the results from these model, operational parameters are adjusted to mitigate any nonproduc...

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Bibliographic Details
Main Authors: Evren Ozbayoglu, Murat Ozbayoglu, Baris Guney Ozdilli, Oney Erge
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
cuttings transport
artificial neural networks
optimization
hole cleaning
machine learning
data driven
Online Access:https://www.mdpi.com/1996-1073/14/5/1484

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