Improved Inspection Data Quality Using Modified Corrosion Rate Method for Offshore Pipeline Assessment

2009 ◽  
Author(s):  
Mazura Mat Din ◽  
Md Asri Ngadi ◽  
Khadijah Abdul Razak ◽  
Norhazilan Md. Noor
Keyword(s):  
Corrosion Rate ◽  
Data Quality ◽  
Offshore Pipeline ◽  
Rate Method ◽  
Inspection Data

scholarly journals Automated Matching Systems and Correctional Method for Improved Inspection Data Quality

2011 ◽  
pp. 248-254 ◽  
Author(s):  
Mazura Mat Din ◽  
Norhazilan Md. Noor ◽  
Md. Asri Ngadi ◽  
Khadijah Abd. Razak ◽  
Maheyzah Md Siraj
Keyword(s):  
Data Quality ◽  
Inspection Data

scholarly journals ERROR SOURCES IN PROCCESSING LIDAR BASED BRIDGE INSPECTION

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 455-459
Author(s):  
H. Bian ◽  
S. E. Chen ◽  
W. Liu
Keyword(s):  
Quality Management ◽  
Data Processing ◽  
Data Quality ◽  
Visual Inspection ◽  
Inspection System ◽  
Bridge Inspection ◽  
Error Sources ◽  
Scanning Angle ◽  
Management Framework ◽  
Inspection Data

Bridge inspection is a critical task in infrastructure management and is facing unprecedented challenges after a series of bridge failures. The prevailing visual inspection was insufficient in providing reliable and quantitative bridge information although a systematic quality management framework was built to ensure visual bridge inspection data quality to minimize errors during the inspection process. The LiDAR based remote sensing is recommended as an effective tool in overcoming some of the disadvantages of visual inspection. In order to evaluate the potential of applying this technology in bridge inspection, some of the error sources in LiDAR based bridge inspection are analysed. The scanning angle variance in field data collection and the different algorithm design in scanning data processing are the found factors that will introduce errors into inspection results. Besides studying the errors sources, advanced considerations should be placed on improving the inspection data quality, and statistical analysis might be employed to evaluate inspection operation process that contains a series of uncertain factors in the future. Overall, the development of a reliable bridge inspection system requires not only the improvement of data processing algorithms, but also systematic considerations to mitigate possible errors in the entire inspection workflow. If LiDAR or some other technology can be accepted as a supplement for visual inspection, the current quality management framework will be modified or redesigned, and this would be as urgent as the refine of inspection techniques.

Using Statistic Method to Calculating and Monitoring the Corrosion Rate of Petroleum Process Piping

2006 ◽  
Author(s):  
Chi-Hui Chien ◽  
Chun-Hung Chen
Keyword(s):  
Corrosion Rate ◽  
Piping System ◽  
Chemical Plants ◽  
Rate Data ◽  
Process Piping ◽  
Clear Idea ◽  
Inspection Data ◽  
A Site ◽  
Ultrasonic Thickness ◽  
Operating Unit

In chemical plants and most refineries, some process piping is suffered from metal thinning. Take carbon steel piping for example, each component such as elbow, tee, direct piping, branches, reducers are suffered thinning no matter the piping is still in using or not. So, with an eye to personal safety and smooth operation held in the chemical plants and refineries, every effort put in the inspections should be correctly getting knowledge about the deterioration conditions. Normally, to check the piping thinning condition is to perform the ultrasonic thickness spot gauging at each component of the piping. Through the thickness reading, inspectors could get the information about the piping remaining thickness, calculate the corrosion rate, and evaluate the remaining life at each part of the piping spools. However, when one puts an eye on the piping inspection management and deterioration conditions about the piping system in the operating unit, the variation condition of the inspection thickness data, in some view points, always play an important part as corrosion information hidden in the thickness data group. Besides, by considering the variation condition of the thickness data, the inspectors can get a more conservative and satisfactory corrosion rate data about the whole piping spool. By plotting the histogram of the corrosion data; inspectors can get a more clear idea about the deterioration condition of the whole operating unit. In this paper, the ultrasonic thickness survey is reported from the pre-selected susceptible areas of deterioration such as the injection points, elbow, tee etc. (as suggested by the API 570 Code and the API recommended practice 574). After collecting the thickness readings, the statistic skill is used to evaluate the corrosion rate of each piping spool in the operating unit. After the statistic calculations, the inspectors can analyze the evaluated corrosion rate data by plotting the histogram of the evaluated upper bound corrosion rate values. With the trend shown in the histogram, the inspectors can easily get knowledge about the deteriorating condition of the operating unit. Finally, in order to discuss the feasibility of the proposed method, the inspection data of two piping spools will be used as the examples. Also, a site survey result performed in the lubricant rerun unit shows the effectiveness of this statistic calculation method.

Piping Corrosion Rate and Remaining Life Basis: Commercializing Conservatism in First Time Inspections

2014 ◽  
Author(s):  
Graig Cilluffo
Keyword(s):  
Corrosion Rate ◽  
Nuclear Power ◽  
Corrosion Monitoring ◽  
Internal Corrosion ◽  
Novel Approach ◽  
Piping Systems ◽  
Plant Data ◽  
Inspection Data ◽  
Plant Inspection ◽  
First Time

This paper sets forth guidance on how to establish a justifiable internal corrosion rate following a first time inspection to predict re-inspection or replacement timing for raw water piping. A novel approach leverages actual plant-wide piping inspection data, leak history, repair history, and corrosion monitoring results together to inform integrity decisions based on experience at a reliably-operating, nuclear power plant. Data is applied on a risk-conscious basis to piping systems based upon failure consequence and uncertainty and differs from the typical approach of reporting location-specific, time-averaged rates. Excavation and in-plant inspection results can now inform commercially-friendly conservatism that reduces leak risks while also minimizing total inspection and maintenance costs. While directly applicable to buried piping, this method can be applied to any corrosive system / location. Information is presented in a format that readers can readily follow to develop similar justifications for their own sites / systems. Guidance on applications, limitations, and areas for improvement are also provided.

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