Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

IF 0.5 Q4 ENGINEERING, MECHANICAL Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2019-05-15 DOI:10.1115/1.4045386
David Cheng
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Abstract

Data from the distributed control system (DCS) or supervisory control and data acquisition (SCADA) system provide useful information critical to the evaluation of the performance and transportation efficiency of a gas pipeline system with compressor stations. The pipeline performance data provide correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedures, and an example of model validation-based performance analysis of a gas pipeline based on actual system operational data. An analysis approach based on statistical methods is demonstrated with actual DCS gas pipeline measurement data. These methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in assessing the pipeline hydraulics parameters that influence the pressure drop in the pipeline such as corrosion (inside diameter change), roughness changes, or basic sediment and water deposition.
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带压气站的天然气输送管道数据分析与模型验证
来自集散控制系统(DCS)或监控和数据采集(SCADA)系统的数据为评估带有压缩站的燃气管道系统的性能和运输效率提供了有用的信息。管道性能数据为压缩机提供校正因子,作为天然气输送管道运行优化的一部分。本文介绍了基于系统实际运行数据的基于模型验证的输气管道性能分析方法、步骤和实例。结合DCS输气管道实测数据,提出了一种基于统计方法的分析方法。这些方法为利用DCS数据验证管道水力学模型提供了切实可行的途径。然后将验证的模型用作性能分析工具,以评估影响管道压降的管道水力参数,如腐蚀(内径变化)、粗糙度变化或基本沉积物和水沉积。
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CiteScore
1.60
自引率
16.70%
发文量
12
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