Overview

ParsOilTech encountered significant challenges in its oil field operations, mainly dealing with unsafe working conditions and inefficient fuel management processes. Implementing Azure IoT enabled the company to enhance safety measures drastically, improve fuel management, and decrease operational downtime. Not only have these two integrated their day-to-day operations, they have seen a substantial increase in overall productivity, making their oil field processes safer and more efficient.

Technical Stack

  • Azure Machine Learning
  • Azure Stream Analytics
  • Power BI
  • Azure IoT Hub
  • Industry

    Oil and Gas

  • region
  • Region

    Iran

  • project-size
  • Project Size

    Non- Disclosable

Highlights

Reduced operational downtime by 40%

Enhanced fuel delivery efficiency by 25%

Minimized hazardous zone exposure by 60%

Increased overall operational safety by 50%

Challenges & Solutions

Fuel Management Inefficiency: Delivering fuel to massive oil fields could have been easier. However, it quickly stalled, creating production downtime and lower output.

  • Solution: We used Azure IoT Hub with fuel level sensors to track fuel consumption and re-fueling requirements in real-time, ease fuel management, and reduce time loss by as much as 40 %.

Unsafe Working Conditions in High-Risk Zones: Some of the challenges faced by technicians were monitoring fuel tanks while operating machinery, exposing themselves to hazardous areas, and handling the risk physically.

  • Solution: When IoT sensors connected to the intelligent manufacturing hub were connected to Azure Stream Analytics, the worker's exposure to the danger zones could be decreased by 60%—perhaps control can be done remotely.

Lack of Real-Time Data for Decision-Making: A lack of real-time data had an indirect effect on working capabilities, which became apparent as responses to equipment failures and inefficiencies were slow.

  • Solution: We integrated Azure IoT and PB dashboards and embedded real-time performance of the equipment and fuel levels. This allowed proactive maintenance, cut downtime, and boosted operational efficiency by 25%.

High Operational Costs Due to Manual Processes: Manual operations were labor-intensive and expensive, increasing operational costs.

  • Solution: With automated, IoT-based fuel and equipment monitoring, we streamlined processes, reducing labor costs and improving safety standards, enhancing overall operational efficiency by 50%.

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Core Features

  • Real-time monitoring with Azure IoT Hub
  • Predictive Analytics with Azure Machine Learning
  • Automated fuel-level sensors
  • Cloud-based dashboards using Power BI
  • Integration of fuel, temperature, and pressure sensors
  • Remote management of hazardous zones
  • Enhanced equipment performance tracking
  • Predictive maintenance alerts
  • Improved safety through automation
  • Scalable IoT infrastructure for field operations
  • no.-of-resources
  • No. of Developers

    06

  • time-frame
  • Time Frame

    May 2024 - Ongoing

Experience With Bacancy

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