Maintenance planning | SLB

Maintenance planning

An out-of-the-box solution that breaks down silos and infuses AI, to optimize maintenance planning and execution, for a step-change in efficiency, and a reduction in planned shutdowns and OPEX

Maintenance Planning
Maintenance Planning

Overcome the limitations of maintenance planning and management systems with a solution that captures and contextualizes data across your operations for a step-change in the building, optimization, and analysis of maintenance plans. This is possible as the solution captures associated operations data, contextualizes that data across operations, and enables the construction, optimization, and analysis of maintenance plans.

The maintenance planning solution:


  • Maps maintenance and work orders to interactive 3D models of your assets.
  • Enables prioritization of maintenance backlogs.
  • Enables the digitalization of work preparation.
  • Integrates planning across teams.

How the solution delivers value:


  • Reduces OPEX due to more controlled maintenance expenditure, with maintenance executed in the right way, at the right time.
  • Reduces planned shutdowns.
  • Enhances efficiency in maintenance execution.

Results include:


  • Up to 30% reduction in planned shutdowns.
  • Up to 5% efficiency gain in maintenance execution.
OptiSite

OptiSite™

facility, equipment, and pipeline solutions

Embrace a new level of integration and insight for proactive, ‘big picture’ asset performance improvements. Learn how these scalable digital solutions can help you reduce footprint, increase throughput, and maximize uptime, by combining evergreen data, physics-driven models, and AI.

Find out more
Digital services for Production Performance

Intelligent maintenance planning

Digital services for production performance

Use fully contextualized facility information, real-time data from equipment, domain expertise, and AI-based insights to predict potential failures, plan and optimize maintenance, and consolidate campaigns. The result? Increased facility uptime, lower production losses, and more efficient use of resources.

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