Improving Asset Reliability Through Data Science
A major oil and gas operator had suffered 11 cracker trips in 2021 and 8 in 2022, causing significant production losses. By applying our data science solutions, we identified key actions that reduced cracker trips by 70%.
The Challenge:
Unlocking Operational Excellence
Our client has firmly established themselves as a leader in the energy and petrochemical industry, with an experienced asset management team and a strong and diverse workforce.
However, with reliability issues impacting productivity, identifying root causes was difficult. Through the client’s rigorous continuous improvement programme, they were keen to explore how data science could provide new insights that would enhance their operating decisions.
The Outcome
Transforming Operations Through Data
Using advanced statistical analysis and machine learning tools, we pinpointed areas for improvement and developed and executed a targeted plan.
This translated into huge improvements in asset reliability and substantial financial savings attributed to enhanced leadership and supervision. The implementation of a subsequent leadership training programme resulted in lasting positive effects. In addition, the shift in culture has fostered a more efficient, environmentally responsible and sustainable long-term business model.
Key Factors Contributing to the Outcomes
The Process
Working as one team.
We worked in a highly collaborative way with the client’s data science and technical functions, creating a strong one-team ethos where we co-developed solutions. Using an agile approach allowed us to respond quickly to new hypotheses and questions generated as insights were uncovered.
“Empirisys’ belief that changing culture is fundamental to creating the conditions that enable safer, better performing, more environmentally responsible and, ultimately, more sustainable businesses to evolve. These goals can be achieved with a more data driven approach in which Empirisys excel.”
Project Sponsor, Reliability Analytics Advisor
What sets Empirisys apart?
