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AI-Driven Petrophysical Predictions: Optimizing Performance in Reduced Dataset Environments

Year: 2025

Type: conference-paper

Source: Middle East Oil, Gas and Geosciences Show (MEOS GEO)

DOI: 10.2118/227831-ms

Authors: Ramsin Y. Eyvazzadeh, N. Almulhim

Institutions: Saudi Aramco (Saudi Arabia), Saudi Aramco (United States)

Language: English

Topic: Hydrocarbon exploration and reservoir analysis

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414232389

FWCI:

Cites: 8

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