College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.
Sci Rep. 2022 Aug 12;12(1):13750. doi: 10.1038/s41598-022-17673-3.
Interstate pipelines are the most efficient and feasible mean of transport for crude oil and gas within boarders. Assessing the risks of these pipelines is challenging despite the evolution of computational fuzzy inference systems (FIS). The computational intricacy increases with the dimensions of the system variables especially in the typical Takagi-Sugeno (T-S) fuzzy-model. Typically, the number of rules rises exponentially as the number of system variables increases and hence, it is unfeasible to specify the rules entirely for pipeline risk assessments. This work proposes the significance of indexing pipeline risk assessment approach that is integrated with subtractive clustering fuzzy logic to address the uncertainty of the real-world circumstances. Hypothetical data is used to setup the subtractive clustering fuzzy-model using the fundamental rules and scores of the pipeline risk assessment indexing method. An interstate crude-oil pipeline in Egypt is used as a case study to demonstrate the proposed approach.
州际管道是边境地区运输原油和天然气最有效和可行的手段。尽管计算模糊推理系统 (FIS) 不断发展，但评估这些管道的风险仍然具有挑战性。计算的复杂性随着系统变量的维度增加而增加，特别是在典型的 Takagi-Sugeno (T-S) 模糊模型中。通常，随着系统变量数量的增加，规则数量呈指数级增长，因此，对于管道风险评估来说，完全指定规则是不可行的。这项工作提出了索引管道风险评估方法的重要性，该方法与减法聚类模糊逻辑相结合，以解决实际情况中的不确定性。使用假设数据使用管道风险评估索引方法的基本规则和分数来设置减法聚类模糊模型。埃及的一条州际原油管道被用作案例研究来演示所提出的方法。
