PIPE “Pre-Emptive Incident Predictor Engine”

The PIPE, aims at building a Predictive Monitoring Mechanism...

...for Oil & Gas - HSE Division by collating inputs from various sources such as Operations Data, Sensors, Audit and Environment data using latest BIG DATA Techniques and further applying Machine Learning to predict the incidents in advance.


Machine learning is an AI technique getting significant attention in today’s fast-changing business landscape. The ultimate aim of machine learning is to enable software applications to become more accurate without being explicitly programmed. But how do machines actually learn? The basic premise of machine learning is to build algorithms that can receive vast amounts of data, and then use statistical analysis to provide a reasonably accurate outcome

Centre of Excellence to Achieve ZERO INCIDENT Safety in HSE- Oil & Gas


Big data analytics is the process of examining large data sets containing a variety of data types, to discover hidden patterns, unknown correlations, market trends, customer preferences, and other useful business information.


  • Early warning signals & alert system Real-time streaming and analytics BIG DATA platform Machine learning algorithms
  • Increase in Operational efficiency Reduction in downtime Environmental and Human Safety