PTQ Q4 2024 Issue

Figure 6 Circuit-level dashboards: Sensor status and CML rankings

Simplified dashboards with critical insights The number of CMLs varies significantly between differ - ent industries. Oil and gas plants typically have hundreds to thousands of CMLs, while refineries manage hundreds of thousands of CMLs grouped into thousands of circuits. Managing thousands of circuits manually is impractical, necessitating machine learning tools to simplify the infor - mation into a human-manageable overview at the unit or plant level. An example of such a dashboard is shown in Figure 7 . This dashboard uses a mixture of event widgets and list widgets to provide a simple overview of the status of a unit or plant, helping asset owners focus on what matters. Internal links allow users to drill down into circuit and trend views for more detailed information about critical CMLs. This dashboard helps asset owners quickly identify and focus on the most critical CMLs. It is linked to other dash - boards, enabling users to drill down for more detailed infor - mation on these critical CMLs. Case study: Enhancing corrosion management with AIoT technology One of the largest US refineries faced severe corrosion issues in its degassing system, particularly affecting a critical 2in elbow pipe. This component endured extreme conditions, including chemical exposure, high temperatures, pressure, moisture, oxygen, and impurities, posing serious risks to

system integrity. Traditional monitoring methods struggled with the pipe’s complex conditions and geometry, heighten - ing the risk of equipment failures and safety hazards. Conventional methods proved inadequate in accurately capturing the subtle effects of fluctuating environmental conditions on corrosion. This monitoring gap raised con - cerns about undetected equipment degradation and poten - tial safety incidents. To overcome these challenges, the facility adopted mCluez, a proprietary advanced AIoT-based corrosion and monitoring solution, combining AI with IoT sensors to deliver precise, real-time insights into asset conditions. By deploying mCluez sensors, the facility achieved contin - uous monitoring of the elbow pipe, capturing crucial data on thickness, corrosion rate, and environmental factors. The system’s sophisticated dashboard provided detailed trends and alerts, enabling the team to monitor changes and respond promptly. Key findings from the mCluez dashboard revealed a sharp decrease in pipe thickness and an alarming increase in the corrosion rate, reaching 400 mils per year (mpy). Further investigation linked these issues to a temperature drop below the dew point, which coincided with a process line-up change. This temperature drop directly contributed to the increased corrosion rate. In response, the team adjusted the temperature in the affected section of the degassing system. The real-time data

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PTQ Q4 2024