The Asset Integrity Intelligence Blog

The addition of data science into traditional reliability methods allows models to evolve continually and learn, preventing results from becoming stagnant.

This blog will dive into the “next steps” of maximizing RBI programs, specifically how to better quantify the value of inspections and improve inspection handling.

This improved data can help us better predict failure, plan inspections in terms of time and coverage, and identify when inspections aren’t necessarily the right solution for mitigation.

What happens when there are programs no one wants to own and people avoid taking responsibility for them? It is important that people have an understanding of their responsibilities and the accountabilities of the program.

We regularly poll the Inspectioneering audience to help us determine how to best allocate our editorial efforts. In this survey, we asked readers to provide their greatest professional challenges, preferred ways to receive information, and the like.

Our proprietary furnace tube inspection system, FTIS is an ultrasonic inspection technology capable of rapid, automated fired heater coil inspection in refinery fired heaters. The data captured by our furnace tube inspection system is...

There is a major difference between fixed equipment mechanical integrity (FEMI) and fixed equipment reliability (FER). It’s important to differentiate between the purpose and reasons for the two programs even when they are often mixed together.

There are still lessons to be learned 48 years after the failure of the cyclohexane plant that led to the explosion that occurred on Saturday, June 1, 1974.

At the end of the day, it is still about people and qualities like trust, integrity, empathy, care for our fellow man, treating others with respect and dignity, passion, strong work ethic and attention to detail, which are immutable.

Complex problems require collaboration between process, operations, maintenance, inspection, and engineering. It is important to establish a sense of trust in your organization and work to avoid situations where "dynamic tension" is a way of life.

Since the pandemic, we have seen stories about the “changing face” of work – work cultures are evolving, flexible working conditions are the new expectation, and the balance of bargaining power has shifted from employers to the employees.

We rely on feedback from our audience to determine our editorial direction and which topics we should focus on covering in the future. Please help us accomplish this by completing the following brief survey.

When preparing an article, a report, a presentation, or a paper, it is important to know who your audience is and to adjust your writing accordingly.

The results of the analysis demonstrate the exciting possibilities for how “Big Data” can be used to empower the reliability and corrosion engineer to solve real-world reliability challenges faster and more accurately than current industry...

Acting as a reliability twin, QRO is a new dynamic reliability approach that bridges existing first principles-based reliability models with advanced data science principles and system-based optimization to drive improved facility performance.

Quantifying corrosion for different crude fractions allows planners the ability to mix and match crude blends alternatively to achieve pre-set metal loss and reliability goals. This flexibility has significant implications for extensive cost savings.