Subsea Pipeline Design Automation Using Digital Field Twin

S. Bhowmik, Gautier Noiray, Harit Naik
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引用次数: 2

Abstract

The main objective of this paper is to present a cost-effective, user-friendly and highly reliable subsea pipeline design automation framework under the cloud-based digital field twin platform Subsea-XD. The FEED and detail design phase of the subsea pipeline is normally quite long and need to run several analyses sequentially to achieve the desired results. In this cloud-based design automation method, a significant number of calculation hours are saved due to systematic and sequential approach with minimum remediation work by reducing human error. In this proposed design automation framework, all the standard pipeline calculations including code checks are performed through a web-based graphical user interface (GUI) designed in cloud-based digital field twin. In the design phase of the subsea pipeline, some more advanced level pipeline finite element analyses are performed for buckling and walking assessment. The design phase of the subsea pipeline consists of different analytical as well as finite element (FE) calculations which are performed systematically and sequentially in cloud-based digital field twin. Various calculations including wall thickness calculation based on API/DNV/ASME code check, on-bottom stability analysis, pipeline span analysis, pipeline end expansion analysis, out of straightness analysis and pipeline buckling analysis are performed sequentially and systematically in the cloud using the metadata information available from the digital field data. All the standard pipeline calculations are developed using Python API and connected to cloud-based digital twin Subsea-XD. For advanced FE analyses for lateral buckling and pipeline walking, the preliminary susceptibilities are assessed through analytical calculations developed through python- based API. For the pipeline FE analysis for lateral buckling and walking assessment, pre-processor and post-processor are developed in python based on various metadata (pipe data, soil, environment) information available in the subsea digital field. The pipeline design calculation outputs are stored in a standardised report format in the cloud platform. The GUI is developed and the whole pipeline design process is automated through the python API. This design automation approach significantly reduces the total project cost. Integrating all the pipeline design calculations and automated report generation in a cloud-based digital field twin is very much beneficial for the early stages where some changes are expected. This pipeline design automation system relates to cloud-based digital field Subsea XD through API so that it is worked as an integrated system giving 3D digital field diagram as well as all pipeline design calculations in one digital platform.
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利用数字现场孪生实现海底管道设计自动化
本文的主要目标是在基于云的数字现场双平台subsea - xd下,提出一个经济高效、用户友好且高度可靠的海底管道设计自动化框架。海底管道的FEED和详细设计阶段通常相当长,需要连续进行多次分析才能达到预期的结果。在这种基于云的设计自动化方法中,由于系统和顺序的方法,通过减少人为错误来减少补救工作,从而节省了大量的计算时间。在这个建议的设计自动化框架中,所有标准的管道计算,包括代码检查,都是通过基于云的数字领域双胞胎设计的基于web的图形用户界面(GUI)来执行的。在海底管道的设计阶段,进行了一些更先进的管道有限元分析,以进行屈曲和行走评估。海底管道的设计阶段包括不同的分析和有限元(FE)计算,这些计算在基于云的数字现场双胞胎中系统有序地进行。各种计算,包括基于API/DNV/ASME规范检查的壁厚计算,底部稳定性分析,管道跨度分析,管道末端膨胀分析,不直度分析和管道屈曲分析,在云端使用数字现场数据提供的元数据信息依次系统地进行。所有标准管道计算都使用Python API开发,并连接到基于云的数字孪生潜艇xd。对于侧向屈曲和管道行走的高级有限元分析,通过基于python的API开发的分析计算来评估初步的敏感性。对于横向屈曲和行走评估的管道有限元分析,基于海底数字领域中可用的各种元数据(管道数据、土壤、环境)信息,用python开发了预处理和后处理程序。管道设计计算输出以标准化报表格式存储在云平台中。开发了GUI,并通过python API自动化了整个管道设计过程。这种设计自动化方法显著降低了项目的总成本。将所有管道设计计算和自动报告生成集成到一个基于云的数字油田孪生模型中,对于预计会发生一些变化的早期阶段非常有益。该管道设计自动化系统通过API与基于云的数字油田Subsea XD相关,因此它可以作为一个集成系统在一个数字平台上提供3D数字油田图以及所有管道设计计算。
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