Maintenance that is too frequent or other. companies with limited access to records may struggle to organize the maintenance.
3. Asset Maintenance based on Condition
The traditional engineering concept of asset longevity extension is recommended. An offshore company could engage oil drilling maintenance services to prolong the lifespan of its offshore structures. The reliability of the structure is often one of the major factors to be considered.
The goal of reliability-centered maintenance is to improve productivity of equipment and not extend the life of the equipment. Technicians employ analytics to assess the condition of equipment’s functionality.
4. Predictive Maintenance
Predictive maintenance helps keep assets in optimum condition, prolong the lifespan of their work while avoiding costly maintenance – unlike preventive maintenance which can be scheduled in intervals. In accordance with the asset’s present condition, predictive maintenance will be planned.
Predictive Maintenance employs preventive as well as technique-based techniques for monitoring performance of the asset. The aim of predictive maintenance is to find the signs of problems early and save money on maintenance. With modern technologies such as IoT, companies can use software dependent on machine learning to pick signals on the condition of their equipment.
Predictive maintenance helps reduce maintenance costs while also ensuring the process operates at optimum capacity. Access to data is crucial in predictive maintenance since it relies upon machines that utilize historic information to create predictions. Engineers may use this software to sort through huge amounts of data to make informed choices about maintenance.
5. Dynamic Maintenance
The most long-term approach to maintenance for oil rigs is the dynamic approach to maintenance. It’s a strategy that utilizes the various approaches, both proactive and reactive. Dynamic maintenance is a way to maximize the management of assets and maintenance expenses.