We all know that the maintenance schedules and failure rates often differ and quite frequently we either need to reduce the interval between regular maintenance or even send assets for emergency repairs. With Big Data and IoT maintenance planning and failure rate prediction is now much easier and the companies who use the benefits of these concepts are improving their maintenance schedules, reducing the costs and downtimes therefore winning over their competition.
With the addition of agent-based simulation, the machine learning and deep learning algorithms could be expedited, and the maintenance predictions made as lose to the real life as possible, as we can simulate the behavior of aging assets and new workforce behavior, or the introduction of cutting edge technology to aging workforce, something which is not in the user manuals, but it is omnipresent in today’s industry.
By attending this PetroKnowledge training course delegates will be able to make a substantial, positive impact on the Maintenance Scheduling Planning and Optimization best practices within their organization, more specifically:
This PetroKnowledge training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling, process improvement, asset management and maintenance management.
This training course is suitable to a wide range of professionals but will greatly benefit:
Topics to be covered:
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
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