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AI-Driven Well-Spacing Optimization in Depleted Unconventional Reservoirs: A Data-Driven Approach to Maximizing Late-Stage Recovery

Year: 2025

Type: conference-paper

Source: SPE Annual Technical Conference and Exhibition

DOI: 10.2118/227953-ms

Authors: Adeshina O. Badejo, M. T. Stow, Esuru Rita Okoroafor

Institutions: Texas A&M University, Federal University Otuoke

Language: English

Topic: Hydraulic Fracturing and Reservoir Analysis

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415172182

FWCI: 7.697

Cites: 15

Cited by: 2

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