Seminar Room Number 14, 1st Floor, VMCC Building, IIT Bombay
Introduction to the course:
We are currently at the cusp of the fourth industrial revolution that is poised to reshape all the sectors of economy and society with unprecedented depth and breadth. The driving force for this will be the application of AI and ML for the analysis of data to look for patterns and information. Process industries are in a unique position to benefit from this data revolution, as they have the right infrastructure, and are in possession of massive amounts of heterogeneous industrial data. The extraction of valuable information and knowledge from industry data will provide economic and competitive advantages in the face of ever increasing demands on energy, environment and quality by providing a level of automation and efficiency never seen before. This course is oriented towards Data Analytics for efficient online process operations mainly process monitoring, and quality prediction using data-driven modeling. In the drive towards good manufacturing practice in chemical plants such as oil & gas, one of the key areas of focus has been leveraging data analytics based approaches for the continuous monitoring of plant performance with a view to improving plant operations. While quality can be built into the design using QbD, the need for an overall advisory system based on data analytics that continuously learns and adapts to the inherent variations during manufacturing, is being strongly felt. Such data analytics based methods are invaluable in promoting operations excellence in the batch and continuous process industry through their ability to model processes using available online data. They also play an important role in quickly detecting aberrant operation using the operating data and facilitating initiation of remedial measures so as to align the plant back along prior established superior benchmarks. Such tools are therefore proving to be very useful in the context of overall plant optimization, advanced control, productivity enhancements & ensuring safe operations. This workshop will provide a tutorial introduction to the tools mentioned above. Representative case studies involving industrial systems taken from the batch and the continuous process industry (oil & gas, manufacturing) will be used to demonstrate the utility of the concepts presented in the course. The course will also involve hands-on sessions on representative software platforms that showcase the technology advances in information extraction and knowledge translation. Typical process industry related applications such as asset management, property prediction, and abnormality detection will be considered.
Course Schedule:
Data Analytics for Process Monitoring and Predictive Modeling
Registration for External Users (Other than Oil & Gas PSUs) . New users need to register to the IIT Bombay CEP portal to apply for the training course.