endorsedCompleted

Real-Time Data Analytics Platform for Oil & Gas Operations

Services Covered:

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

Industry

Energy & Natural Resources

Duration

7 months

Budget

200K - 999K

Start Date

1 July 2022

Team Size

6-10 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

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

Tallinn, 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

Cloud
Web
IoT

Tech Stack

React.js
TensorFlow
Apache Kafka
Apache Spark
D3.js

Client Endorsement

Overall Review Rating

4.75

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
Date: 09/02/2024