Industrial Analytics for the Energy & Natural Resource Industries
Turn Data into Insights to Optimize Existing Energy Production and Accelerate the Energy Transition
Power the World through
Smart Operations
The Energy and Natural Resources market is transitioning towards Net-Zero Operations. To achieve this target, operational experts are under pressure and need to get better insights and deeper analysis to ensure optimal production, profitability and safety operation to meet customer demand.
1000+
More than 1000 process engineers from four of the top ten global energy companies make daily data-driven decisions based on insights from TrendMiner.
10x
Combining data collaboration and analysis in a single tool speeds up analysis performance up to ten times, allowing for quicker decision-making and greater control.
Explore our Solutions
Our industry-specific solutions are designed to meet the unique needs of the Energy & Natural Resources sector.
With our expertise and technology, we help manufacturers optimize their operations, improve efficiency, and drive growth.
Data Integration & Quality
Integrating data from various sources, such as sensors, historians, and control systems, requires maintaining high data quality through filtering and pre-treatment. Centralizing data from sensors, monitoring systems, and inspection reports allows for comprehensive analysis and insight extraction, offering a unified solution for operational data management.
Real-time Monitoring & Optimization
Supporting real-time operations involves rapid data analysis and effective decision-making. Early detection of equipment degradation enables proactive maintenance scheduling. Addressing challenges like data latency, processing speed, and algorithmic complexity is essential for ensuring timely insights and responsive actions in dynamic operating conditions.
Process Performance Optimization
Maximizing efficiency and productivity involves identifying opportunities for process optimization, minimizing energy consumption, and reducing operating costs. Organizing production through demand forecasts and inventory management supports the development of robust production plans and schedules, optimizing resource utilization, reducing lead times, and meeting quality requirements consistently.
Segments
Upstream
Ensure data integration and quality for real-time asset optimization and monitoring while achieving net-zero operations.
Downstream
Optimize your production process with easy to use analytics and machine learning, centralised in one platform, to be used by everyone operations.
Hydrogen
Production conditions through the main technologies: steam reforming, partial oxidation and autothermal reforming.
Renewable Energy
Collect, process and analyse data from various sources related to production, consumption and impact.
Traditional Production
Fossil fuels (coal, oil and natural gas) have been powering economies for over 150 years, and currently supply about 80% of the world’s energy.
Gained Value by our Customers
Avoid product contamination through monitoring of zero-emission mechanical seals
Leverage advanced analytics and real-time monitoring to achieve $100k savings per year per refinery.
Rotationary equipment and individual assessment
Remove bottlenecks and optimize operations reducing shutdowns to save up to $360k per equipment per day.
Optimize reliability of critical compressors through health and performance monitoring
Previous investigations failed to avoid unnecessary shutdowns. Through root cause analysis and monitoring, gas turbine fouling can be avoided resulting in increased performance of compressor.
Using Time-series Analysis to Optimize Sulfur Recovery Units
Self-analytics enabled engineers to increase unit utilization by 8%, and a 15% reduction in sulfur dioxide emissions and thus helping meet net-zero operations goals faster.
“Process Engineers, Technologists, Run Engineers, or Operators… Thanks to TrendMiner, they can unlock the power of the industrial data for their day-to-day questions.”
“Having data collection, culling and analysis in the same tool makes analysis time about 10 times faster”
“At Enerjisa Üretim, our new self-service data analytics tool has enabled us to go from data visualization to data interrogation across multiple systems and sources. Now plant engineers can set alarms triggered by efficiency tags. This is driving our corporate strategy to achieve operational excellence and meet sustainability targets.”
Read more about TrendMiner @ Enerjisa
“We find that the users can quickly learn the TrendMiner solution and start analyzing data. Also, the solution has better UI/UX”
TrendMiner’s Added Value
Transforming the Energy & Natural Resources Sector
Our industrial analytics software helps industries within the Energy & Natural Resources Sector optimize their operations and improve efficiency.
