48240

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Automated Detection of Significant Deviations in a Spatial Position of Oil Pipelines

Электронная публикация: 

Да

ISBN/ISSN: 

1613-0073

Наименование конференции: 

  • School-Seminar on Optimization Problems and their Applications (OPTA-SCL 2018)

Наименование источника: 

  • Proceedings of the School-Seminar on Optimization Problems and their Applications (OPTA-SCL 2018)

Обозначение и номер тома: 

Т. 2098

Город: 

  • Омск

Издательство: 

  • CEUR-WS

Год издания: 

2018

Страницы: 

431-437
Аннотация
Selective comparison of the oil pipeline sections based upon datasets of multiple in-line inspections [1] showed that there is a significant group of sections with 3d position changed again and again after repairs. At the same time, increasing volume of in-line inspections makes it impossible to analyze a spatial position of each pipeline section over time. It provokes adapting methods of multidimensional data analysis for automating detection of significant deviations in a spatial position of the pipeline. First phase of data preparation algorithm includes checking the uniqueness headers of dataset, lack of duplicates and gaps, lack of special characters, unprintable characters and extra spaces. The second phase includes checking misses, as well as significant and rapid changes in trends. Method of detecting significant deviations in a spatial position of the oil pipeline consists of four main steps: evaluating correlation coefficients of datasets, selecting the grouping method [2], analyzing intra-group statistics and assigning compensating activities for each group of pipeline sections.

Библиографическая ссылка: 

Владова А.Ю. Automated Detection of Significant Deviations in a Spatial Position of Oil Pipelines / Proceedings of the School-Seminar on Optimization Problems and their Applications (OPTA-SCL 2018). Омск: CEUR-WS, 2018. Т. 2098. С. 431-437.