Work

Predicting Photoelectric Logs in Challenging Conditions Using Machine Learning and Statistical Analysis

Year: 2024

Type: conference-paper

Source: SPE Annual Caspian Technical Conference and Exhibition

DOI: 10.2118/223382-ms

Authors: Eassa Abdullah, Reem AlYami

Institution: King Fahd University of Petroleum and Minerals

Language: English

Topic: Hydrocarbon exploration and reservoir analysis

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404789188

FWCI:

Cites: 16

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Related to: 10