Work

Optimizing Depth Selection for Formation Pressure Testing in Complex Reservoirs – A Machine Learning Approach

Year: 2025

Type: conference-paper

Source: SPE Oklahoma City Oil and Gas Symposium (OKOGS)

DOI: 10.2118/224365-ms

Authors: M. K. Aljishi, M. Abdullah, D. Devegowda, C. S. Rai

Institution: University of Oklahoma

Language: English

Topic: Hydrocarbon exploration and reservoir analysis

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409400103

FWCI:

Cites: 8

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Related to: 10