Assessment of Particle Size Distribution Models for Black Powders in Natural Gas Pipelines

doi:10.11885/j.issn.1674-5086.2018.03.05.01

Abstract

Abstract: Understanding the particle size distribution (PSD) of black powders in natural gas pipelines is critical to resolving the black powder issue. There are now many PSD models available; however, there is a lack of established methods for assessing them. In this study, seven common PSD models were assessed for their goodness of fit and prediction capacities, on the basis of black powder data of a real natural gas pipeline, by employing assessment indexes such as S_RMSE, R², and I^AIC as well as a confusion matrix and ROC curve. The results showed that the log-normal model not only is capable of both concentrated and even distribution, but also exhibits better goodness of fit. In addition, the log-normal model is capable of effective prediction in the full range of particle sizes (0.30~7.25 μm). Therefore, it is the PSD model with the most comprehensive prediction capability.

Key words: natural gas pipeline, black powder, PSD model, confusion matrix, ROC curve

CLC Number:

TE89

QIN Yunsong, ZHANG Jijun, AN Jianchuan, HUANG Xin, ZHENG Da. Assessment of Particle Size Distribution Models for Black Powders in Natural Gas Pipelines[J]. 西南石油大学学报(自然科学版), 2018, 40(4): 177-186.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2018.03.05.01

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2018/V40/I4/177

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