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Abstract

Summary

The presented multi-agent orchestration framework represents a practical path toward next-generation digital subsurface workflows.

This system enables:

  • Natural language interaction with complex technical workflows,
  • Real-time cross-disciplinary collaboration,
  • Faster iterations,
  • Secure, explainable AI-driven interpretation

The combination of modular domain GenAI Agents, MCP Protocols and Orchestration Layer and transparent traceability provides a clear, realistic path for operators and service companies seeking to operationalize AI in their core subsurface activities.

This workflow moves the industry from fragmented digitalization to true collaborative intelligence where geoscience and engineering expertise are seamlessly augmented by autonomous, domain-specialized agents.

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/content/papers/10.3997/2214-4609.202639054
2026-03-09
2026-02-08
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References

  1. ErmilovA., TveritnevA., TrusovaA. (2025, November) New Role Of Technical Specialists To Enable Digital Transformation In The Petroleum Industry: A Petrophysicist-based Proof Of Concept (a petrophysicist led PoC at the intersection of GenAI agents, MCP, geological data analysis and petrophysics) | Abu Dhabi International Petroleum Exhibition and Conference
    [Google Scholar]
  2. Tveritnev, A., Khanji, M., Abdullah, S., Rojas, L., Ermilov, A., Al Mansoori, F., & Alblooshi, A. (2023, October 02). Applying Machine Learning NLP Algorithm for Reconciliation Geology and Petrophysics in Rock Typing | Abu Dhabi International Petroleum Exhibition and Conference
    [Google Scholar]
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