Case Studies

This article discusses two use cases of how advanced visual data capture and image analytics can be used across multiple industries to drive better reliability decisions.

Inadequate consideration of corrosion and material degradation of many older facilities has complicated the implementation of modern-day RBI programs. This article presents a case study of a heat exchanger with such a design.

An assessment of the vibration behavior observed and recorded on a pre-flash column overhead piping system and the strategic methodologies used based on a proactive troubleshooting technique.

A case study of advanced digital technology was assessed to resolve the challenges of internal coating of small diameter pipes by accurately and rapidly measuring pipe-end dimensions, and then matching end-to-end pipes with software-based analysis.

Leveraging and combining the correct inspection tools on complex problems can yield the best overall data and understanding of actual conditions.

A case study on utilizing the Quantitative Reliability Optimization (QRO) methodology to help better evaluate equipment risk and predict future product availability.

The assessment procedures in API 579 may also be applied to pressure-containing equipment constructed to other recognized codes and standards. The author will examine the application of these procedures to aboveground storage tanks.

Resulting from developing a 20-year nonintrusive inspection strategy, a successful experience is presented using a volumetric examination on a modified storage tank shell-to-bottom weld, known in the industry as corner-weld.

After extensive application research, development, and testing, a technique has been developed that eliminates the need for backing gas for purging. It also provides a cost-effective system for welding the entire weld with high integrity.

Statistical techniques are meant to complement the work of SMEs and can provide deeper insights into the inspection data collected as part of a reliability program. Pinnacle has combined traditional methods, expertise, and Machine Learning to...

A study of the level of deterioration on a catalytic reformer support structure, the challenges involved, the solutions presented, and the aggressive schedule that was required to complete the project.

This study found that a machine learning model was able to predict degradation rates for a hydrocracker unit more accurately and with a smaller margin of error compared to current industry practices.

The influence of sensitization on creep response of hydrocracker feed fractionator fired heater tubes made of AISI Type 347 stabilized steel after service exposure of around 20 years is investigated.

Applying advanced statistical analysis methods will provide owner/users with a RAGAGEP-accepted method for analyzing corrosion monitoring data while also integrating the latest improvements in inspection capabilities.

This article describes HTHA predictive modeling advances that are designed to demonstrate a direct integration with inspection such that modeling and inspection can be leveraged together in a way never done before.

The application of a detailed design-by-analysis method using ASME Sec-VIII Div-2 confirms field-observed ratcheting and fatigue type failures in the tubesheet due to the complex cyclical thermal-mechanical loading encountered during operation.