Work

Analysis of Machine Learning Models for Prediction of Petrophysical Data

Year: 2024

Type: conference-paper

Source: U.S. Rock Mechanics/Geomechanics Symposium (ARMA)

DOI: 10.56952/arma-2024-0627

Authors: C. Vega-Ortiz, P. Palash, E. Edelman, B. J. McPherson, G. Maxwell, D. List

Language: English

Topic: Hydrocarbon exploration and reservoir analysis

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4401479209

FWCI: 10.16

Cites:

Cited by: 5

Related to: 10