OPEX helped an oil and gas operator to understand the persistent causes of safety incidents on their offshore assets through an innovative approach that combines data science and predictive technologies with behavioural psychology.

The Challenge

Our customer wanted to gain a deeper understanding of the underlying causes of offshore safety incidents at a time when they were bringing a new asset online and introducing new working practices.

We approached this challenge on two fronts.

Firstly, we wanted to understand and quantify the levels of behavioural risk across the customer’s assets so that we could reveal their unique ‘behavioural DNA’

Secondly, to make use of the huge volumes of HSE and asset data to identify any previously hidden factors contributing to offshore incidents.

Our Approach

OPEX rolled out the X-PAS™ Safety behavioural survey tool to the core crew on the operator’s assets. This survey revealed respondents’ natural disposition to risk, measured their people and process behaviours, and workforce sentiment and mood.

In parallel to this we also collated masses of structured and unstructured HSE and asset data. Using data science techniques, we were able to turn this data into meaningful insights that highlighted some surprising factors that were impacting behavioural risk and incidents.

Key Insights and Actions

Our analysis highlighted a direct correlation between the risk profiles of the core crews on each platform and the incident histories; the platform demonstrating the highest behavioural risk also had the highest frequency of severe safety incidents.

The data provided a clear picture of the levels of process and people behaviours across the assets, split by crew and department. Analysis also revealed the impact that the time of day, management practices and workforce sentiment had on the frequency of incidents. This helped the operator to understand where to focus their resources and the activities and actions to take to reduce the likelihood of future HSE incidents.

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