IIoT transforms Texmark and the oil and gas industry
The highly competitive oil and gas industry faces changing demand patterns, complex initiatives, and exponentially increasing data volumes. Texmark is creating a next-generation chemical plant that will enable it to compete at the highest level while delivering superior worker safety, process performance and profitability. This Refinery of the Future is aggressively leveraging state of the art Industrial Internet of Things (IIoT) technologies and techniques such as data from sensored pumps and machine learning to create new insights for multiple job functions in the plant to enhance decision making and reduce employee and business risks.
Monitor the condition of connected assets and predict when failures will occur to reduce unplanned downtime, extend equipment life and optimise machine performance.
Enhance plant security by using advanced video analytics to monitor property boundaries for trespassers, and monitor rail cars and rails at loading dock for extraneous objects.
Provide directed response to workers during an emergency using real-time location based services and alert notification systems. Provide a geo fencing function to warn workers when they are approaching a hazardous location.
Provide appropriate real-time content to workers that is role- and location-based and context aware by using location-based services and augmented reality.
Provide instant access to real-time information about the integrity of the plant assets based on all available documentation using a digital twin described in a 3D point database.
What's New
Texmark Chemicals leverages new sensor data sources and advanced analytics to help create the digital path to the future
What's New
Texmark Chemicals leverages new sensor data sources and advanced analytics to help create the digital path to the future
Refinery of the Future Partner Ecosystem
VISIT THE REFINERY OF THE FUTURE
See actual Industrial IoT solutions in action, with an in-depth exploration of how these components come together to generate insights to enable IIoT use cases like predictive maintenance, condition monitoring and asset management, creating a safer, smarter and more efficient production environment.