Case Study: Refiner Solves Persistent Corrosion Problem Using Online Monitoring

  • January 30, 2024
  • Emerson
  • Case Study
Case Study: Refiner Solves Persistent Corrosion Problem Using Online Monitoring
Case Study: Refiner Solves Persistent Corrosion Problem Using Online Monitoring

Preem conducts extensive refinement of crude oil and the sale of petroleum products to oil companies active in Sweden and on the international market, mainly in north-western Europe. The feedstock is primarily crude oil in various grades, with renewable feedstocks under evaluation to produce green diesel. Final products include gasoline and different types of lubricants.
 
This case study focuses on a specific instance of severe corrosion identified on the top of a main crude distillation column in Preem’s Lysekil refinery in Sweden. The problem was located near a complex arrangement of pressure relief valves, and attempts were made to alleviate the corrosion through redesign of the piping in that area, and the installation of a new injection quill.
 
However, despite initial success lasting about five weeks, corrosion began to reoccur.
 

Identifying the issue

Severe corrosion was identified on the top of the main crude distillation column near a complex arrangement of pressure relief valves. The corrosion was found to be caused by a broken injection quill that was used to inject a neutralizing amine into the pipes. Without the proper injection of the amine, the pipes were susceptible to corrosion, leading to elevated corrosion rates.
 
The team installed a new quill and the corrosion stopped, but after some months, corrosion began to reoccur at a high rate of about 47 mils/year, indicating that the amine inhibitor was not the long-term answer, with further investigation required.
 

Root cause analysis

The refinery installed a Rosemount Wireless Permasense Corrosion Monitoring System from Emerson to continuously monitor the corrosion rate and identify the root cause of the corrosion (Figure 1).
 

Figure 1: Rosemount Wireless Permasense sensors installed in a piping system.
 
The corrosion monitoring system consisted of 17 sensors, each sending data to a gateway, which was in turn hardwired via Ethernet TCP/IP to a PC hosting the Emerson monitoring software.
 
The Emerson software interprets and converts the ultrasonic waveform raw signals into wall thicknesses measurements using its patented adaptive cross correlation signal processing, which eliminates the effects of roughness caused by some corrosion mechanisms. The software is then connected via open platform communications (OPC) to the AspenTech IP.21 process historian, where the sensor values are interrogated and imported using a unique tag for each sensor.
 
The corrosion data was correlated with process data using AspenTech IP.21 software (Figure 2). The corrosion was caused by a specific crude slate which was high in salts, causing corrosion further down the process, specifically the top of the main crude distillation column.

Figure 2: Periods of high corrosion (red trend line) can be clearly correlated with periods of crude slate blending (green trend line).

However, when this new crude was blended back out, the corrosion did not stop occurring. The team performed an inspection of the injection location where the issues initially occurred and found out that the injection quill was broken once again, likely causing inhibitor to spread along the pipe wall where the non-intrusive sensors were located.

Problem solved

In July 2021, the injection of neutralizing amine was stopped, and the corrosion rate was significantly reduced (Figure 3). In September 2021, another new injection quill was installed, and the corrosion was further reduced to almost zero.

Figure 3: Since replacing the quill in September 2021, the corrosion was virtually eliminated. Continuous monitoring ensures any recurrence would be picked up quickly.

The refinery was able to prevent further corrosion and ensure the longevity and integrity of the pipes by using advanced monitoring and diagnostic tools, specifically Emerson and AspenTech IP.21 software. This also helped plant personnel to perform effective predictive maintenance and avoid unexpected shutdowns. Although not certain, it is likely that a combination of the high salt crude blend, as well as the broken injection quill and resulting spread of amine along the pipe wall, were causing the corrosion.

Preem avoided unexpected shutdowns, which would have eventually occurred as a result of the increased corrosion rate. Data from the sensors, interpreted by the Emerson and AspenTech IP.21 software, enabled plant personnel to implement an effective preventative maintenance strategy, saving time and money. This strategy now ensures the longevity and integrity of fixed equipment using data from the sensors in quantitative corrosion calculations.
 

Conclusion

Corrosion mechanisms are often very difficult to detect using manual monitoring methods, increasing the risk of pipe and vessel failure. Online monitoring using wireless clamp-on sensors addresses this issue by continuously providing data to specially designed software, which creates trends and uses algorithms to create alerts in advance of failures. This information is made available to notify plant personnel of impending issues so they can perform mitigation.
 
If your process plant or facility has a known or suspected corrosion issue, consultation with a vendor specializing in this area can help solve the problem before it causes downtime or an incident.
 
All figures courtesy of Emerson

About The Author


William Fazackerley is a global product manager at Emerson, specializing in corrosion and erosion technologies, with over 10 years of experience in IT and software development. He specializes in digital transformation, working closely with customers to guide the strategic direction of Emerson’s product portfolio. Fazackerley studied Computing and Applied ICT Central Sussex College.


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