Open Access. Powered by Scholars. Published by Universities.®
- File Type
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Supplementary Information For "Understanding Mid-To Large Underground Leaks From Buried Pipelines As Affected By Soil And Atmospheric Conditions – Field Scale Experimental Study", Navodi J.R.R. Jayarathne, Kathleen M. Smits, Stuart N. Riddick, Daniel J. Zimmerle, Younki Cho, Michelle Schwartz, Fancy Cheptonui, Kevan Cameron, Peter Ronney
Supplementary Information For "Understanding Mid-To Large Underground Leaks From Buried Pipelines As Affected By Soil And Atmospheric Conditions – Field Scale Experimental Study", Navodi J.R.R. Jayarathne, Kathleen M. Smits, Stuart N. Riddick, Daniel J. Zimmerle, Younki Cho, Michelle Schwartz, Fancy Cheptonui, Kevan Cameron, Peter Ronney
Earth & Environmental Sciences Datasets
Reducing the amount of leaked natural gas (NG) from pipelines from production to use has become a high priority in efforts to cut anthropogenic emissions of methane and ensure public safety. However, tracking and evaluating NG pipeline leaks, especially at moderate to high flow rates, requires a better understanding of the leak from the source to the detector as well as more robust quantification methods. To better understand fugitive emissions from NG pipelines, we developed a field scale testbed that simulates mid and high-pressure gas leaks from belowground natural gas infrastructure. The system is equipped with subsurface, surface and atmospheric …
Replication Data For: Investigating Detection Probability Of Mobile Survey Solutions For Natural Gas Pipeline Leaks Under Different Atmospheric Conditions, Shanru Tian, Stuart Riddick, Younki Cho, Bell Clay, Daniel Zimmerle, Kathleen Smits
Replication Data For: Investigating Detection Probability Of Mobile Survey Solutions For Natural Gas Pipeline Leaks Under Different Atmospheric Conditions, Shanru Tian, Stuart Riddick, Younki Cho, Bell Clay, Daniel Zimmerle, Kathleen Smits
Earth & Environmental Sciences Datasets
The 2015 Paris agreement aims to cut greenhouse gas emissions and keep global temperature rise below 2 °C above pre-industrial levels. Reducing CH4 emissions from leaking pipelines presents a relatively achievable objective. While walking and driving surveys are commonly used to detect leaks, the detection probability (DP) is poorly characterized. This study aims to investigate how leak rates, survey distance and speed, and atmospheric conditions affect the DP in controlled belowground conditions with release rates of 0.5–8.5 g min−1. Results show that DP is highly influenced by survey speed, atmospheric stability, and wind speed. The average DP in Pasquill–Gifford stability …