June 7th, 2024
Real Time Monitoring + Digital BOP Assurance (DBA)
Reduce Non-Productive Time (NPT) for Subsea BOPs with Predictive Analytics
In offshore deep-water drilling, time is money. Non-productive time (NPT) due to Blowout Preventer (BOP) failures, unplanned stack pulls, and other preventable issues can significantly impact operations, leading to costly delays.
Predictive analytics, powered by Aquila Engineering's Real-Time Monitoring (RTM) and Digital BOP Assurance (DBA), addresses these challenges by maximizing maintenance efficiency through data and health models of your BOP equipment.
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The Impact of BOP Reliability on Operations
BOP reliability is crucial in subsea operations, where equipment is deployed thousands of feet underwater. Before operations can begin, BOPs undergo a series of tests. If these tests fail, the BOP must be retrieved to the surface for repairs—a process that can take several days to weeks, depending on the depth and availability of parts. This yo-yo effect of unplanned stack pulls not only wastes time but also incurs significant costs.
“And if those tests are not successful, guess what? You're having to pull the BOP all the way back up. And in our industry, time is money, and this takes days.” - Jose Meraz
Predictive Analytics: The Key to Proactive Maintenance
Predictive analytics transforms how subsea engineers manage BOP reliability. By continuously collecting and analyzing data, engineers can detect issues before they lead to failures. This proactive approach reduces NPT by enabling timely maintenance and repairs, ensuring that the BOP is in optimal condition before it is deployed.
Leveraging Data and Health Models with DBA
Aquila Engineering’s DBA integrates real-time data with advanced analytics to provide a comprehensive view of BOP performance. This system goes beyond traditional monitoring by incorporating physics-based analytics and condition monitoring, offering a deeper understanding of the BOP's real-time health. With DBA, engineers can predict potential failures and schedule maintenance more effectively, minimizing the risk of unexpected downtime.
Practical Benefits of Predictive Analytics
Reduced Stack Pulls: Decrease the frequency of BOP pulls, saving days to weeks of operational downtime.
Improved Efficiency: Streamline maintenance events by utilizing real-time data and health models.
Enhanced Decision-Making: Make informed decisions based on comprehensive data analytics, ensuring the BOP is ready for deployment.
Cost Savings: Avoid the high costs associated with extended NPT due to BOP failures.
The Future is Predictive Analytics
Implementing predictive analytics with real-time monitoring and Digital BOP Assurance (DBA) from Aquila Engineering can significantly reduce non-productive time in subsea operations. By maximizing the efficiency of maintenance events through advanced data analytics and health models, operators can ensure their BOP equipment remains reliable and ready for the challenges of deep-water drilling.