We believe that spending reliability dollars effectively to be reliable is required to be competitive in any industrial facility. And to do that effectively, leaders at these facilities must figure out how to properly leverage the right data to make the right reliability decisions. To help them to do just that, our entire focus is bringing together the best or reliability engineering, data management and science to the industrial context.
Reliability and mechanical integrity basics and engineering, from programmatic setup to corrosion engineering to root cause analysis
Doing reliability well takes know-how and technology, from data gathering to models and data science
Understanding the business of industrial facilities, how they function, and how to get things done from the office to the field
Whether it’s upstream, midstream, refining, chemical, mining, water, or another industrial process, we meet our customers at whatever stage they fall in to help them navigate forward with confidence.
In the FEED stage, we can use the right modeling approaches to optimize design for the entire lifecycle with reliability in mind. In the build or startup phase, we can support from a reliability perspective, ensuring the customer is confident in their reliability strategy from startup.
Fundamentals vary based on the facility and specific needs. We use a data-driven approach to ensure the customer is getting the right fundamentals in place that work for them, which can include technology selection, people and process, data and documentation management, and modeling.
There is no shortage of initiatives in today’s market. We use a data-driven approach to identify value opportunities and bring them to reality. Objectives range from unplanned downtime reduction, optimized planned downtime, reduced reliability spend, to process safety risk reduction.
In the post-transformation stage, we help our customers sustain the transformations they have achieved and continue to improve their programs quarter by quarter, year over year. This can range from reliability engineering support to the full outsourcing of reliability functions.
In the FEED stage, we can use the right modeling approaches to optimize design for the entire lifecycle with reliability in mind. In the build or startup phase, we can support from a reliability perspective, ensuring the customer is confident in their reliability strategy from startup.
Fundamentals vary based on the facility and specific needs. We use a data-driven approach to ensure the customer is getting the right fundamentals in place that work for them, which can include technology selection, people and process, data and documentation management, and modeling.
There is no shortage of initiatives in today’s market. We use a data-driven approach to identify value opportunities and bring them to reality. Objectives range from unplanned downtime reduction, optimized planned downtime, reduced reliability spend, to process safety risk reduction.
In the post-transformation stage, we help our customers sustain the transformations they have achieved and continue to improve their programs quarter by quarter, year over year. This can range from reliability engineering support to the full outsourcing of reliability functions.
To enable reliability confidence, we architect a unique set of solutions for each customer – developing data-driven insights, enabling and building the best reliability technology, and bringing the right expertise and horsepower through services. By building a roadmap specific to each customer’s needs, we help them achieve mechanical integrity compliance, reduce overall spend, ensure reliable facility design and startup, and prevent loss of primary containment.
Set up a discovery call now
info@pinnaclereliability.com