Data-Driven Greenfield

A greenfield project provides the opportunity to get reliability right, from the start. Leveraging Pinnacle’s data-driven reliability framework during the front-end engineering and design (FEED) phase enables planning optimizations that will maximize system reliability, availability, and return on investment.

Ensure your facility is designed with reliability in mind from startup.

Establish program compliance with OSHA, MSHA, and other industry regulations

Build program based on strong reliability fundamentals

Create efficient design to maximize reliability and prevent high lifecycle costs

Our data-driven reliability framework provides insight into the impact of design updates on your facility’s availability.

Our framework integrates reliability principles into greenfield facilities and capital projects by confirming modes of operation for your equipment and streamlining the design to maximize system reliability and availability.

A Successful Start: Qualitative Risk-Based Inspection of a Greenfield Project

Learn how we helped a greenfield petrochemical complex successfully establish a proper integrity program prior to startup.

Explore More Information about Data-Driven Reliability

Data-Driven Reliability: Reliability Done Right

Data is the lifeblood of any maintenance or reliability program. Now, a paradigm shift is occurring in the way data is used to achieve reliability. This article explains how you can leverage this shift to implement data-driven reliability at your facility. Learn More →

Digital Twin Technology and Data-Driven Reliability

Digital twin technology is used by asset owners to digitally replicate physical assets, run simulations, and receive insights into future performance that will drive decisions about maintaining the assets. These virtual replications of assets enable asset owners to prevent problems before they occur, identify opportunities for improvement, and plan for the future. A digital twin is a key part of the data-driven reliability framework. Learn More →

Quantitative Reliability Optimization (QRO)

Quantitative Reliability Optimization (QRO) represents an evolution in modeling that brings the best of Risk-Based Inspection, Reliability Centered Maintenance, Reliability Availability Maintainability, and Multi-Variate Machine Learning into one model. QRO is the methodology applied by the data-driven reliability framework. Learn More →

Pinnacle Process to Getting Started

30 Minutes
10 Days
100 Days

Ready to see how data-driven reliability will impact your facility?