Abstract
The paper considers a method for detecting offshore pipelines defects using a wavelet transform of a remote magnetometry signal. This method makes it easier and faster to process large amounts of information obtained as the measuremens result. According to statistics, 40% to 50% of accidents with offshore pipelines occur due to the pipe walls corrosion. Thus, the research aimed to development the methods for offshore pipelines inspection and diagnostics is very important. For the testing of the suggested method for detecting pipeline defects, on the engineering analysis software ELCUT base a numerical model describing the magnetic field distribution in the area of corrosion spot located on the pipe wall was developed. It is shown that the suggested method can be used for detecting the defects and evaluating the offshore pipelines technical condition.
Highlights
Estimating offshore exposure to oil spill impacts based on a statistical forecast model //
The paper considers a method for detecting offshore pipelines defects using a wavelet transform of a remote magnetometry signal
40% to 50% of accidents with offshore pipelines occur due to the pipe walls corrosion
Summary
Estimating offshore exposure to oil spill impacts based on a statistical forecast model // Dapeng W.,Weijun G., Shujun K., Tiaojian Xu // Marine Pollution Bulletin.
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