Customer Case Study
Revolutionizing Offshore Drilling
How a Leading Energy Company Unlocked OT Data for Real-Time Machine Learning Insights with EOT’s Twin Talk Solution
Customer Overview
A leading multinational energy services company needed a real-time monitoring and analytics solution to improve the performance and reliability of its offshore drilling platforms. By enhancing operational visibility and leveraging advanced machine learning, the company aimed to minimize downtime, optimize asset performance, and maximize profitability.
the challenge
The company’s operations team lacked real-time access to critical drilling data, making it difficult to detect anomalies and prevent potential downtime or production disruptions. Existing systems provided delayed insights, limiting the ability to respond proactively to operational issues.
Without up-to-the-second data, the company risked costly unplanned downtime, safety hazards, and inefficiencies across its offshore assets. To address this, the company sought a high-performance, scalable data platform capable of ingesting and analyzing massive volumes of real-time data.
Solution: Twin Talk for Real-Time Data Aggregation & Analytics
The company deployed EOT’s Twin Talk to handle the ingestion, aggregation, and visualization of operational drilling data from offshore wells. The solution enabled high-speed, high-volume data processing while maintaining security, efficiency, and scalability.
the implementation included:
Processing 1.4 billion data points per day from offshore wells
Sub-second latency for real-time visibility
Direct integration with AWS S3 for scalable storage
Databricks for machine learning training and anomaly detection to predict potential failures
Results & Business Impact
The successful deployment of Twin Talk delivered significant business value:
Real-Time Monitoring & Visibility: The operations team gained instant access to drilling data, allowing for proactive decision-making.
Increased Asset Performance: Improved visibility enabled optimized drilling operations, reducing failures and maximizing uptime.
Enhanced Company Profitability: Preventing unplanned downtime translated to millions in potential savings.
Lower Total Cost of Ownership (TCO): Outperformed previously deployed custom-coded solutions, while offering greater security and operational efficiency.
Lessons Learned
- Industrial projects can be accelerated using EOT’s Twin Talk to connect, enrich, and contextualize the exchange of data between OT and IT systems.
High-volume, low-latency data challenges with sub-second delivery requirements can be efficiently handled with Twin Talk, making it a scalable solution for industrial IoT applications.
Twin Talk can be deployed quickly through software configuration rather than requiring highly skilled engineers to develop extensive custom code.
conclusion
By leveraging EOT’s Twin Talk, the multinational energy company transformed its drilling operations, achieving real-time insights, improved asset performance, and reduced downtime. The solution’s scalability and security positioned the company for future growth and efficiency gains, making it a model for modern industrial IoT transformations.
About Twin Talk
Twin Talk offers a simple, secure, and scalable solution for delivering operational data from SCADA systems and historians to the cloud. Twin Talk revolutionizes the way industrial companies handle data. The platform enables cloud-based, event-driven, real-time architectures such as data lakes, mobile monitoring, and surveillance apps. The top benefit customers report is being able to quickly generate valuable insights from analytics, AI, and machine learning with Twin Talk.
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