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Real-Time Data Analytics Platform for Oil & Gas Operations

Services Covered:

Big Data Analytics and Business Intelligence • Cloud Consulting and Services • Custom Software Development
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Industry
Industry

Energy & Natural Resources

Duration
Duration

7 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 July 2022

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable Acropolium is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

mapTallinn, Estonia

Project Summary

Acropolium developed a scalable real-time data analytics and integration platform for an oil and gas company, ingesting IoT and SCADA data and applying predictive modeling. The solution used technologies such as Apache Kafka and Spark for data processing, TensorFlow for predictive analytics, and a React/D3.js user interface. The client reported measurable operational improvements and praised Acropolium's Agile delivery and technical expertise.

Key Challenges

  • Develop a real-time data analytics platform to enhance operational efficiency
  • Integrate diverse data sources (IoT and SCADA) into a scalable pipeline
  • Provide predictive modeling to improve resource management and decision-making

Project Deliverables

  • Scalable real-time data integration platform
  • Real-time data aggregation from IoT and SCADA systems
  • Predictive analytics and machine-learning tools
  • User interface built with React.js and D3.js

Project Solution

Acropolium designed and developed a scalable, real-time data integration platform that aggregated data from IoT and SCADA systems using Apache Kafka and processed it with Apache Spark. They implemented predictive analytics components using TensorFlow and delivered a user-friendly front end built with React.js and D3.js. The vendor followed Agile practices and provided a 6–10 person team to integrate diverse data sources and deliver actionable operational insights.

Project Outcome

  • Achieved a 15% increase in production efficiency
  • Reduced equipment downtime by 20%
  • Decreased maintenance costs by 30%
  • Delivered on time with strong Agile project management

Platforms

  • CloudCloud
  • WebWeb
  • IoTIoT

Tech Stack

  • React.jsReact.js
  • TensorFlowTensorFlow
  • Apache KafkaApache Kafka
  • Apache SparkApache Spark
  • D3.jsD3.js

Client Endorsement

Overall Review Rating

4.75star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“With the new solution, the client saw a 15% uptick in production speed, a 20% reduction in equipment downtime, and a 30% decrease in maintenance costs. Acropolium managed the project well, utilizing Agile methodology to ensure tasks were completed on time. Their technical expertise was commendable.”

Anonymous

Marketing Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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