Abstract
Offshore pipelines perform crucial role in energy industry. The safe exploitation of subsea pipelines is one of the most important issues. Therefore, it is necessary to minimize technological risks in order to avoid undesirable situations resulting from oil and gas spills in subsea pipelines. Ensuring the safety of subsea pipelines is one of the most important factors. As about 2/3 of the world is under deep-water, the main energy sources are also under water. The paper investigates the causes of accidents (corrosion, natural disaster, material, operation process) in subsea pipelines. The purpose of the study is to investigate the most common accidents in subsea pipelines, to identify the main risk factors, to develop an algorithm and to calculate its weight factors in accordance with the triangular Fuzzy AHP (Analytical Hierarchy Process). A special algorithm was developed to determine the risk factors in four categories. Then, according to the algorithm, evaluation index system, relative importance language scale, judgement matrices was established and calculations were performed with the fuzzy analytical hierarchy process, degree of possibility and relative criteria weight factors were shown. As a result, risk weight factors were shown in 4 categories and the most affected factor was determined. The result of the study was that the potential source of accidents on subsea process lines was investigated.
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Ismayilova, H., Shahlarli, M., Ismayilova, F. (2023). Investigation of Submarine Pipeline Failure Accidents in Deepwater Based on the Fuzzy Analytical Hierarchy Process. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_52
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