Work

Data-Driven Prediction of Rheological Properties in Invert Emulsion Drilling Fluids: A Comparative Analysis of Machine Learning Models

Year: 2025

Type: conference-paper

DOI: 10.2118/224464-ms

Authors: S. Yanik, I. H. Gucuyener, K. O. Gurcay, O. M. Yagmur

Language: English

Topic: Drilling and Well Engineering

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409605974

FWCI:

Cites: 28

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Related to: 10