Batch Analytics for the Oil and Gas Industry

When we asked batch process experts what their top concerns were, their answers included reducing cycle time, unplanned downtime, and maintenance events; improving root cause analysis of quality deviations; and of course monitoring batch production. These capabilities are also linked to achieving expected throughput and product quality which ultimately leads to profitability. One way to address the challenges that batch process experts face and to obtain batch production profitability is through the use of technology like self-service analytics.
TrendMiner is an accessible proven solution that democratizes analytics so as a process expert, you can monitor, analyze, and predict batch processes yourself. You will be able to increase your analytics maturity and be empowered to do your job faster and better. After all, you have the essential batch process knowledge and skillsets to understand the production data. You will therefore be able to maintain quality control and perform not only descriptive and diagnostic analytics but also prescriptive analytics to ensure quality control and limit future batch issues.
Watch this TrendMiner introductory video for batch production to learn how you can:
- Speed up root cause analysis to know what is happening, and why and if it has happened before
- Identify optimal process behavior and create golden fingerprints
- Set monitors for processes and get alerts when process deviations occur.
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Product FAQ
Your Questions on TrendMiner, Answered
TrendMiner is an advanced analytics software platform for operational specialists in the process manufacturing industries. Those specialists can use sensor generated time-series data to Analyze, Monitor and Predict production performance within its operational context. The software is based on patented pattern recognition technology and uses machine learning technology to provide recommendations in root cause performance analysis.
TrendMiner is fully focused on making each operational expert successful in using the available data. We have onboarding services, basic, advanced and coach training classes, both face-to-face, but in current times we do all of this remotely and we can offer engineers on demand, where specialists from our team help our customers support their team or even work on use cases. For unlocking data silos; to democratize data, we have consultants specializing in making integrations with 3rd party business applications and setting up context views and dashboards. With all these services we aim to get a team of users that will leverage their data and analytics to higher levels than we can, because they have the specific years process and asset expertise and experience that we do not have.
Key features of TrendMiner include interactive dashboards, advanced search and filter capabilities, predictive analytics, root cause analysis, and integrations with various data sources.
TrendMiner offers a unique combination of self-service analytics, automatic pattern recognition, and predictive capabilities that makes it easier to derive insights from operational data.
TrendMiner can analyze any time-series data, including data from process historians, relational databases, and CSV files.
TrendMiner is used by a variety of industries, including manufacturing, chemical, pharmaceutical, energy, among others.
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