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Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030

Bilal Ahmed

Subject area: Management and Commerce  ·  Area of research: Industrial IoT

Abstract

Saudi Arabia's oil and gas sector is moving from instrumented production assets towards connected, analytically supported operations. Yet the value of industrial Internet of Things (IIoT) deployments depends on their interaction with supervisory control and data acquisition (SCADA), rather than the number of sensors installed. This detailed critical review carefully examines how that interaction can improve surveillance, maintenance, production decisions and environmental accountability while protecting safety-critical control functions. Thirty peer-reviewed publications dated 2020–2025 were selected through a focused, transparent review of oilfield digitalisation, industrial communications, edge computing, cyber-physical security and associated applications. Evidence was coded by operational use, integration mechanism, validation setting and reported limitation. The synthesis distinguishes deterministic control from advisory analytics and proposes a layered architecture in which field devices, local controllers, historians, edge services and governed analytical applications exchange contextualised information. The strongest practical opportunities concern fault detection, remote asset surveillance and prioritised intervention; attribution of production or emissions gains remains less secure without robust baselines. Saudi deployment consequently requires interoperable information models, resilient communications, independent safety barriers, cybersecurity assurance and workforce development. A staged implementation and evaluation framework is presented with measurable indicators and explicit decision rights. The review argues that a digital oilfield is successful when trustworthy information changes operational decisions safely, not merely when equipment becomes connected.

Keywords

Industrial Internet of Things, SCADA, digital oilfield, edge computing, Saudi Vision 2030, operational technology, asset integrity

References

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How to cite this paper

Bilal Ahmed "Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030" Iconic Research And Engineering Journals Volume 10 Issue 5 2026 Page 2334-2346
Bilal Ahmed "Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026
Bilal Ahmed (2026). Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030. Iconic Research And Engineering Journals, 10(5).
Bilal Ahmed "Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026.
@article{1725096,
      author = {Bilal Ahmed},
      title = {Integration of Industrial IoT and SCADA Technologies for Digital Oil Field Transformation under Saudi Vision 2030},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {2334-2346},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1725096.pdf},
      abstract = {Saudi Arabia's oil and gas sector is moving from instrumented production assets towards connected, analytically supported operations. Yet the value of industrial Internet of Things (IIoT) deployments depends on their interaction with supervisory control and data acquisition (SCADA), rather than the number of sensors installed. This detailed critical review carefully examines how that interaction can improve surveillance, maintenance, production decisions and environmental accountability while protecting safety-critical control functions. Thirty peer-reviewed publications dated 2020–2025 were selected through a focused, transparent review of oilfield digitalisation, industrial communications, edge computing, cyber-physical security and associated applications. Evidence was coded by operational use, integration mechanism, validation setting and reported limitation. The synthesis distinguishes deterministic control from advisory analytics and proposes a layered architecture in which field devices, local controllers, historians, edge services and governed analytical applications exchange contextualised information. The strongest practical opportunities concern fault detection, remote asset surveillance and prioritised intervention; attribution of production or emissions gains remains less secure without robust baselines. Saudi deployment consequently requires interoperable information models, resilient communications, independent safety barriers, cybersecurity assurance and workforce development. A staged implementation and evaluation framework is presented with measurable indicators and explicit decision rights. The review argues that a digital oilfield is successful when trustworthy information changes operational decisions safely, not merely when equipment becomes connected.},
      keywords = {Industrial Internet of Things, SCADA, digital oilfield, edge computing, Saudi Vision 2030, operational technology, asset integrity},
      month = {November},
  }