ENERGY AND UTILITIES

Fuel Growth with Digital Transformation

REINVENT YOUR BUSINESS WITH THE POWER OF REAL-TIME INTELLIGENCE

The demand for clean and renewable energy, rising interest in distributed generation, and the move to smart grids create new business models that require a modern data infrastructure incorporating internet of things (IoT). Using the power of real-time insight, from rigs to smart meters, is a key way to increase operational productivity, reduce costs, comply with regulations, and gain a timely understanding of customers’ energy use. Striim makes it easy to adopt a modern, streaming data architecture that enables automated data integration in real-time and smart decisions across the whole value chain; delivering safe and cost-effective operations, and better customer experience.

  • Integrate and distribute data across sites and various system in real time
  • Monitor and optimize production operations in real-time using sophisticated variables
  • Adjust load and provide energy conservation recommendations by monitoring distribution networks in real time
  • Optimize well site operations, and control automatically and remotely in real time
  • Predict energy prices, equipment failures, and power-outage durations
  • Provide up-to-date information to customers about outages, repair work, grid updates

WHY STRIIM FOR ENERGY AND UTILITIES

Using Striim, you adopt a smart, modern data architecture that integrates, analyzes, and visualizes high-volume, high-velocity operational data as soon as it is generated. It captures real-time change data non-intrusively from enterprise databases, combines with real-time sensor and machine data, including WITSml files, for a comprehensive view of operations. It optimizes data storage by filtering, aggregating, transforming, enriching, and analyzing sensor data at the edge.

It analyzes data-in-motion to respond to time-sensitive operational events such as changes in weather conditions. Striim’s advanced features such as predictive analytics and ability to embed machine learning algorithms allow you to make accurate and timely decisions that maximize operational productivity while reducing costs.

REDUCE COSTS, RAISE PRODUCTIVITY
Optimize production, distribution network load, field service operations, predict maintenance needs, and automate well control
IMPROVE CUSTOMER EXPERIENCE
Prevent outages via real-time predictive analytics, and provide real-time usage based recommendations to customers
ENSURE SAFETY AND COMPLIANCE
Shutdown rigs proactively and automatically when needed, monitor gas emission and leaks continuously in real time
Customer Use Case

NORTH AMERICAN UTILITY COMPANY

The leading utility company serving over 1 million customers in the U.S. decided to improve its understanding of the distribution system’s health and its customers’ gas and electric services usage. It uses the Striim platform to integrate, analyze, and visualize real-time data from energy distribution systems, SCADA systems, and smart meters.

Via real-time dashboards the utility company tracks key metrics on the network health and energy use and receives alerts on any deviation from normal thresholds immediately. It can instantaneously identify faults in distribution networks and isolate the sections of the network to prevent outages for a larger group of customers. The company can detect and alert on potential issues on the distribution system proactively, before they even occur. The utility company can provide its customers with up-to-date views into their usage patterns via its website.

 


Monitors its distribution network and smart meters in real time


Detects potential issues in the networks immediately before an outage occurs


Enables customers to view their up-to-date energy usage information via the website

Use Case Examples

MAKE YOUR FAST DATA WORK BETTER FOR YOU

Striim supports energy and utilities companies with a variety of use cases including:

  • Real-time data integration for cloud, Big Data, and Kafka
  • Zero downtime migration to cloud
  • Proactive drill shutdown for safety and environment
  • Gas emission and leak monitoring for compliance
  • Identifying oil sites, and predicting oil availability and production
  • Dynamic, demand-based pricing with smart meter data analysis
  • Real-time smart grid visibility and load forecasting
  • Price forecasts and risk mitigation in trading
  • Automatic field service dispatch based on real-time events
  • Asset monitoring and predictive maintenance

GET STARTED