New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production

New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production

The success of machine learning (ML) techniques implemented in different industries heavily rely on operator expertise and domain knowledge, which is used in manually choosing an algorithm and setting up the specific algorithm parameters for a problem. Due to the manual nature of model selection and...

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Bibliographic Details
Main Authors: Vuong Van Pham, Ebrahim Fathi, Fatemeh Belyadi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Fuels
Subjects:
shale reservoirs
completion design optimization
automated machine learning
Marcellus Shale
Online Access:https://www.mdpi.com/2673-3994/2/3/17

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