The study concludes that embedding AI directly within downhole pressure gauges represents a transformative step toward autonomous well monitoring, offering substantial improvements in operational efficiency, data economy, and real-time reservoir surveillance for digital oilfield applications.
S. Uko, Teslim Adetola Sadiq, P. O. Adegoke· SPE Nigeria Annual Internati...· 0 citations
This study presents a hierarchical intelligent control framework for real-time gas-lift allocation optimisation in a three-well system based on the SPE9 benchmark reservoir. The approach combines a Genetic Algorithm (GA) as a slow supervisory optimiser with a Model Predictive Controller (MPC) acting as a fast, smooth...
S. Uko, Enoch Adeponmile Odufejo, J. Okeke· SPE Nigeria Annual Internati...· 0 citations
Workers in the oil and gas industry, construction, and mining are routinely exposed to life-threatening hazards that existing safety systems are too slow and too limited to address. Traditional safety approaches rely on manual reporting and passive physical protection, leaving critical gaps in real-time detection and...
O. S. Ogboro, Kehinde O. Adegboye, Chi-ife D. Ileka et al.· SPE Nigeria Annual Internati...· 0 citations
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