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Sea Ice Scour Depth and Width Parameters for Design of Pipelines in the Caspian Sea

机译:里海管道设计的海冰冲刷深度和宽度参数

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Wind stresses on sea ice in the north-eastern Caspian Sea during winter result in the formation and movement of ice ridges and grounded ice structures called stamukhi, with resulting scouring and pitting of the seabed. In designing subsea pipelines, consideration needs to be given to associated loads on the pipe. This paper describes methods that were developed to estimate the expected maximum width and depth of scours at specified annual probabilities of exceedance per kilometre of pipe. These parameters were subsequently used with ice-soil-pipe interaction models to ensure pipeline designs and burial depths met required reliability levels. Available data consisted of multi-beam echo sounder imagery of scour crossings along planned survey lines. Additional images of scour crossings as well as complete scours were obtained from targeted surveys in which operators followed scours or surveyed areas believed to have relatively high probabilities of deep scours. While the general distribution of soil types for the survey region was known; insufficient soil properties were measured at each scour for direct correlation to scour depth and width. The paper describes the methods used to determine appropriate scour width and depth parameters for design given the sources of uncertainty in the data and uncertainties regarding processes and ice features resulting in scour formation. This includes selection and fitting of distributions, accounting for differences between unbiased and biased survey data, and calibration and application of models.
机译:冬季,里海东北部海冰上的风应力导致冰脊和称为stamukhi的接地冰结构的形成和运动,从而导致海床冲刷和蚀坑。在设计海底管道时,需要考虑管道上的相关载荷。本文介绍了一些方法,这些方法用于估算在指定的年平均概率(每公里管道超出)下冲刷的预期最大宽度和深度。这些参数随后与冰土管道相互作用模型一起使用,以确保管道设计和埋藏深度达到要求的可靠性水平。可用数据包括沿计划的勘测线穿越冲刷道口的多束回波测深仪图像。冲刷道口和完全冲刷的其他图像是从有针对性的调查中获得的,在这种调查中,操作员跟踪冲刷或被认为具有较高冲刷可能性的调查区域。虽然已知调查区域土壤类型的一般分布;在每个冲刷中测量的土壤特性不足,与冲刷深度和宽度直接相关。本文介绍了用于确定适当的冲刷宽度和深度参数以进行设计的方法,其中给出了数据的不确定性来源以及有关导致冲刷形成的过程和冰特征的不确定性。这包括选择和拟合分布,解决无偏和有偏调查数据之间的差异以及模型的校准和应用。

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