Data Mining and Equi-Accident Zones for US Pipeline Accidents
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 9, Issue 4
Abstract
Data mining is performed on the last 21 years of United States pipeline accident data to illustrate the trends in different pipeline accident types and their consequences, namely financial losses, fatalities, and volume of oil spill. An objective ranking is introduced to identify the states with most pipeline accidents, losses, fatalities, and oil spills. The influence of meteorological season, temperature, and precipitation on pipeline accidents is investigated. The contiguous United States (excluding Alaska, Hawaii, and Puerto Rico) is partitioned into six accident zones with equal amounts of accidents (equi-accident zones) and the most frequent pipeline accident type in each zone is identified. Among all the pipeline accident types, material/equipment/weld failure is found to be the most frequent, expensive, and environmentally unfriendly pipeline accident type. Pipeline accidents due to natural force damage increase dramatically during winter season. Among the six equi-accident zones, Zone 2, located in the southern United States, is the smallest zone with the highest density of accidents.
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Acknowledgments
The financial support from North Dakota State University (NDSU) and NDSU Foundation and Alumni Association through Centennial Endowment (Grant No. FAR0027718) is gratefully acknowledged by the authors.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 9 • Issue 4 • November 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Sep 1, 2017
Accepted: Apr 11, 2018
Published online: Jul 10, 2018
Published in print: Nov 1, 2018
Discussion open until: Dec 10, 2018
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