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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

H. Iyiegbu

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3 papers indexed here

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Conference Aug 2026

Transforming Decision-Making with Agentic AI for Dynamic Business and Analytics Dashboards in Hydrocarbon Asset Management

The conventional dashboard paradigm in upstream oil and gas relies on static, pre‑built visualizations tied to specific software platforms. While useful, these dashboards cannot answer ad‑hoc, cross‑domain questions that arise during day‑to‑day asset management. Engineers and managers are forced to manually pull and...

G. Achumba, A. Magnus, T. A. Farotimi et al. · 0 citations
Conference Aug 2026

Aligning Digital Technology Adoption with Operational Leverage: Phased Implementation of Enhanced Asset Management Solution in Upstream Operations

Upstream oil and gas operations continue to face persistent inefficiencies driven by fragmented data sources, manual workflows, and prolonged data-to-insight latency. As a result, engineers spend a disproportionate amount of time locating, validating, and reconciling data rather than performing value-adding analysis....

M. Amaefuna, T. A. Farotimi, A. Ogunjobi et al. · 1 citation
Conference Aug 2026

Development and Validation of an Empirical Correlation for Water Production Forecasting in Petroleum Reservoirs

Accurate water production prediction is critical for field development optimization, surface facility design, and production management in mature oil reservoirs. This study develops empirical correlations for forecasting Water-Oil Ratio (WOR) using 9,161 production records from seven Volve Field wells (Norwegian Nort...

E. Echikwau, M. Mba, M. M. Ekereke et al. · 0 citations

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