A method of pipeline corrosion detection based on hoop-strain monitoring technology

2016 ◽  
Vol 24 (6) ◽  
pp. e1931 ◽  
Author(s):  
Liang Ren ◽  
Tao Jiang ◽  
Dong-sheng Li ◽  
Peng Zhang ◽  
Hong-nan Li ◽  
...  
Keyword(s):  
Hoop Strain ◽  
Monitoring Technology ◽  
Corrosion Detection ◽  
Strain Monitoring ◽  
Pipeline Corrosion

scholarly journals Restoring and Enhancing Degraded Underwater Pipelines for Identifying and Detecting Corrosion

2021 ◽  
Author(s):  
Vaibhav A. Parjane ◽  
Mohit Gangwar
Keyword(s):  
Classification Accuracy ◽  
Oil And Gas ◽  
Corrosion Detection ◽  
Learning Techniques ◽  
Processing Techniques ◽  
Traditional Approaches ◽  
Enhancement Algorithm ◽  
Preliminary Phase ◽  
Pipeline Corrosion

Detection of corrosion from underwater images is necessary for oil and gas pipelines to eliminate the internal leakages and hazards. The tests utilized a broad range of underwater pictures of various situations. A modern technique for estimating subsea pipeline corrosion based on the colour of the corroded pipe. For corrupted underwater videos, an image reconstruction and enhancement algorithm is created as a preliminary phase. The created algorithm reduces blurring and improves picture colour and contrast. The improved colours in the imaging details aid in the method of corrosion estimation. In this work we proposed a underwater corrosion detection using image processing techniques. Some machine learning and deep learning techniques have been used for classification of corrosion. In experimental analysis various features have been evaluated for detection of corrosion and it introduces better classification accuracy than traditional approaches.

Retrofittable External Hoop Strain Sensors to Monitor Changes in Internal Pressure, During Hydrate Blockage Remediation, in a Deep-Water Flowline

2010 ◽  
Author(s):  
Mateusz Podskarbi
Keyword(s):  
Internal Pressure ◽  
Data Storage ◽  
Deep Water ◽  
Composite Structure ◽  
Strain Sensors ◽  
The Novel ◽  
Hoop Strain ◽  
Strain Monitoring ◽  
Permanent Storage ◽  
Fiber Optic Strain Sensors

This paper will describe the first use of a retrofit non-intrusive pressure measurement system to monitor effects of remediating a hydrate blockage in a deep-water flowline jumper. The system was developed in response to a requirement to monitor pressure on the jumper in order to aid in gas hydrate remediation and to monitor the effects of the remediation processes to clear the blockage. An ROV-deployed non-intrusive hoop strain monitoring system (subC-pts*) was designed for clamping to the flowline, which had unknown internal pressure distribution, in order to report hoop strain changes, therefore derive the internal pipe pressure during intervention and remediation. In addition to the requirement for permanent storage of data, Schlumberger’s design included a high intensity LED mounted in the wall of unit, indicating the value of hoop strain on the subC-pts. Four self-contained systems were supplied. Each stand-alone sensor comprised an optical interrogation system, battery pack, data storage and real-time LED. The subsea optoelectronics were contained in a pressure-sealed housing secured to a composite structure containing fiber-optic strain sensors. The housing was removable from the sensor unit, for maintenance purposes, and was connected to the composite structure by an optical jumper cable. The systems were ROV-deployed onto a 30m length of jumper, at depths greater than 1000m. The measurement of hoop strain using highly linear strain sensors, and the deduction of pressure variation is examined. Focus is given to the novel aspects of the technology, and to areas where further improvements can be made, particularly with a view to developing alternative potential problem solving applications.

scholarly journals ANSYS Simulation Model of Buried Metal Pipeline Corrosion Detection

2020 ◽  
Vol 474 ◽  
pp. 052016
Author(s):  
Chunmei Zhang ◽  
Longhuan Liu ◽  
Xian Liao ◽  
Xuquan Hu ◽  
Zhihong Fu ◽  
...  
Keyword(s):  
Simulation Model ◽  
Corrosion Detection ◽  
Ansys Simulation ◽  
Pipeline Corrosion
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