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Characterization based machine learning modeling for the prediction of the rheological properties of water-based drilling mud: an experimental study on grass as an environmental friendly additive

Crossref DOI link: https://doi.org/10.1007/s13202-021-01425-6

Published Online: 2021-12-29

Published Print: 2022-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ismail, Atif https://orcid.org/0000-0002-8604-368X
Rashid, Hafiz Muhammad Awais

Gholami, Raoof

Raza, Arshad
License Information

Text and Data Mining valid from 2021-12-29

Version of Record valid from 2021-12-29
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Article History

Received: 28 September 2021

Accepted: 14 December 2021

First Online: 29 December 2021

Declaration

:

: On behalf of all authors, it has been declared that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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