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Abstract

Summary

Qatar’s largest oil field presents a technically complex and data-rich environment, characterized by carbonate subsurface settings, real-time surveillance systems, and over 30 years of production history.

The field comprises more than 500 active wells, including ultra extended-reach horizontal wells, multilateral & smart multi-zone producers.

With multiple active producing reservoirs & an extensive monitoring infrastructure, the field is ideal for implementing a comprehensive digital transformation strategy.

This paper describes the structured transition from conventional analytical workflows to an integrated digital system powered by business intelligence (BI), artificial intelligence (AI).

Clear digital roadmap consist of 30 digital solutions was established to transform reservoir management practices into a predictive, self-optimizing ecosystem that is agile, scalable, and value-driven.

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/content/papers/10.3997/2214-4609.202639103
2026-03-09
2026-02-11
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References

  1. Sukapradja, A., Marir, B., O’Connell, A., Hutson, P., & Brahmantio, R. (2025). Use of water injector as gas shield for reservoir management. Innovative Technology for Reservoir Optimization, European Association of Geoscientists & Engineers, 2025(1), 1–3. https://doi.org/10.3997/2214-4609.2025638101
    [Google Scholar]
  2. Sukapradja, A., Clark, J., Hermawan, H., & Tjiptopwiyono, S. (2017). Sisi Nubi dashboard: Implementation of business intelligence in reservoir modelling & synthesis: Managing big data and streamline the decision making process. SPE Asia Pacific Oil and Gas Conference and Exhibition. https://doi.org/10.2118/D021S012R002
    [Google Scholar]
/content/papers/10.3997/2214-4609.202639103
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