Co.L.Mar.: Subsea Leak Detection with Passive Acoustic Technology

2016 ◽  
pp. 261-277
Author(s):  
Luigi Barbagelata ◽  
Andrey G. Kostianoy
Keyword(s):  
Leak Detection ◽  
Passive Acoustic

LEAK DETECTION AND LEAK LOCATION IN UNDERGROUND PIPELINES1

1997 ◽  
Vol 1997 (1) ◽  
pp. 379-381 ◽  
Author(s):  
Anthony N. Tafuri ◽  
James J. Yezzi ◽  
Daniel J. Watts ◽  
John M. Carlyle
Keyword(s):  
Environmental Protection Agency ◽  
Heating System ◽  
Leak Detection ◽  
Department Of Energy ◽  
Joint Research ◽  
Leak Location ◽  
Acoustic Techniques ◽  
Passive Acoustic ◽  
Location Methods ◽  
Leak Detection And Location

ABSTRACT The use of passive acoustic techniques to detect and locate leaks in underground pipelines that carry pressurized liquids is being investigated in a joint research program between the Department of Defense (DoD), the Department of Energy (DOE), and the U.S. Environmental Protection Agency (EPA). Acoustic techniques permit more cost-effective, timely, and accurate leak detection and location than currently established techniques, such as methodologies based on volumetric changes and others based on pressure loss. An experimental facility for determining the capabilities and limitations of improved leak detection and leak location methods based on advanced acoustic principles is being developed at the EPA's research facility in Edison, New Jersey. Four representative pipeline systems will be installed and evaluated: one typical of the petrochemical industry, one typical of a navy/air force hydrant refueling system, one typical of an army central heating system, and a fourth typical of pipelines associated with low-level liquid wastes at DOE facilities. Results of acoustic experiments on an existing 2-inch-diameter test line have indicated that the fundamental theory behind passive acoustic leak detection and location is solid. Several different acoustic leak detection and location methods have been explored to date; data have been produced by all of the techniques, proving their usefulness.

Spatiotemporal distribution of foraging in a marine predator: behavioural drivers of hotspot formation

2020 ◽  
Vol 635 ◽  
pp. 187-202
Author(s):  
T Brough ◽  
W Rayment ◽  
E Slooten ◽  
S Dawson
Keyword(s):  
Time Of Day ◽  
Spatiotemporal Distribution ◽  
Temporal Effects ◽  
Marine Predator ◽  
Marine Predators ◽  
Additive Mixed Models ◽  
Density Analysis ◽  
The Times ◽  
Passive Acoustic ◽  
Spatial Locations

Many species of marine predators display defined hotspots in their distribution, although the reasons why this happens are not well understood in some species. Understanding whether hotspots are used for certain behaviours provides insights into the importance of these areas for the predators’ ecology and population viability. In this study, we investigated the spatiotemporal distribution of foraging behaviour in Hector’s dolphin Cephalorhynchus hectori, a small, endangered species from New Zealand. Passive acoustic monitoring of foraging ‘buzzes’ was carried out at 4 hotspots and 6 lower-use, ‘reference areas’, chosen randomly based on a previous density analysis of visual sightings. The distribution of buzzes was modelled among spatial locations and on 3 temporal scales (season, time of day, tidal state) with generalised additive mixed models using 82000 h of monitoring data. Foraging rates were significantly influenced by all 3 temporal effects, with substantial variation in the importance and nature of each effect among locations. The complexity of the temporal effects on foraging is likely due to the patchy nature of prey distributions and shows how foraging is highly variable at fine scales. Foraging rates were highest at the hotspots, suggesting that feeding opportunities shape fine-scale distribution in Hector’s dolphin. Foraging can be disrupted by anthropogenic influences. Thus, information from this study can be used to manage threats to this vital behaviour in the locations and at the times where it is most prevalent.

An algebraic observer for Leak Detection and Isolation in plastic pipelines

2013 ◽  
Author(s):  
A. Navarro ◽  
Juan Diego Sanchez-Torres ◽  
O. Begovich ◽  
G. Besancon ◽  
Julian Alberto Patino-Murillo
Keyword(s):  
Leak Detection

Leak detection methods for spacecraft-based crystal growth furnaces

1994 ◽  
Author(s):  
Valerie Belcher ◽  
Daniel Mackowski ◽  
Roy Hartfield, Jr. ◽  
Sushil Bhavnani
Keyword(s):  
Crystal Growth ◽  
Leak Detection ◽  
Detection Methods
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