Latest revision as of 00:58, 2 February 2021

Abstract

               <jats:p>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.

Original document

The different versions of the original document can be found in:

• https://asmedigitalcollection.asme.org/VVS/proceedings-pdf/VVS2019/41174/V001T12A001/6446025/v001t12a001-vvs2019-5113.pdf

• http://asmedigitalcollection.asme.org/VVS/proceedings-pdf/doi/10.1115/VVS2019-5113/6446025/v001t12a001-vvs2019-5113.pdf,

http://dx.doi.org/10.1115/vvs2019-5113

• http://asmedigitalcollection.asme.org/verification/article-pdf/doi/10.1115/1.4045386/6452292/vvuq_004_03_031004.pdf,

http://dx.doi.org/10.1115/1.4045386

• https://asmedigitalcollection.asme.org/verification/article/4/3/031004/1066275/Data-Analysis-and-Model-Validation-of-Natural-Gas,

https://dynamicsystems.asmedigitalcollection.asme.org/VVS/proceedings/VVS2019/41174/V001T12A001/1068378,

https://gasturbinespower.asmedigitalcollection.asme.org/verification/article/doi/10.1115/1.4045386/1066275/Data-Analysis-and-Model-Validation-of-Natural-Gas,

https://asme-dcrust.dcrustlibrary.com/VVS/proceedings/VVS2019/41174/V001T12A001/1068378,

https://academic.microsoft.com/#/detail/2985719806

DOIS: 10.1115/1.4045386 10.1115/vvs2019-5113