Work

Enhancing Rate of Penetration Predictions in the Surat Basin Using Supervised Machine Learning: A Comparative Study of ANN and XGBoost Models

Year: 2024

Type: conference-paper

DOI: 10.2118/223344-ms

Authors: Mu Chang, Ruizhi Zhong, Ray Johnson, Zhongwei Chen

Institutions: The University of Queensland, Queensland University of Technology

Language: English

Topic: Drilling and Well Engineering

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403587015

FWCI: 0.965

Cites: 29

Cited by: 1

Related to: 10