High-Resolution Surface Geophysics to Guide Pipeline Construction Projects

2014 ◽  
Author(s):  
S. Nettles ◽  
B. Jarrett
2012 ◽  
Vol 27 ◽  
pp. 99-110 ◽  
Author(s):  
Greg Duffy ◽  
Asregedew Woldesenbet ◽  
“David” Hyung Seok Jeong ◽  
Garold D. Oberlender

2019 ◽  
Vol 4 (1) ◽  
pp. 115-122
Author(s):  
Ernest Oria Ihendeson ◽  
Awajiogak A Ujile ◽  
Anthony K. Leol

This study aim to proffer solution to the factors causing delay is pipeline construction project deliverables, it compared deterministic model (variable with certainty) and stochastic model (variable with uncertainty), with Six (6) planned project schedules of Brownfield Energy Service Limited for pipeline construction. Time assigned to critical activities, identified from a network analysis, with the aid of the Critical Path Method, expected mean time, both deterministic and stochastic duration was calculated. Program Evaluation Review Techniques (PERT), the variance and standard deviation of the critical activities were also calculated. The probability of completion of a project within a given period was gotten with PERT. Comparing the results for deterministic duration 60 days to 79 days, which is 50% compared to 64%. It was concluded that stochastic model is preferable when scheduling and executing pipeline construction projects, because uncertainties are factored into the planning and scheduling process including delays. Delays during execution stage, occurs mainly due to community related issues, equipment failures, change in job scope and work- men antics but not limited to these. This study advocates elimination of causes of delay, especially before and during project execution phase. It also suggested that every project schedule should follow an order of precedents, prerequisite, and management involvement and cooperation at all stages of the project


2005 ◽  
Author(s):  
N. Wardell ◽  
R. Francese ◽  
J. Centonze ◽  
F. Merchan Alvarez ◽  
M. Higuenas Gil ◽  
...  

Author(s):  
Joseph Hlady ◽  
Dana Sands ◽  
Lance Fugate

Abstract Many places where pipelines are built have soil, basal material and water table conditions which can create suboptimal environments for centerline as-builting and weld mapping. Furthermore, ditches containing multiple pipelines can make as-built and weld mapping particularly complex especially when the pipes are of varying sizes. The complexity of the laying in of multiple pipes may also result in the ditch being exposed longer than desired, enabling further deterioration of ditch conditions and even flooding. At times, circumstances can become so hazardous that manual survey of the pipeline centerline can only be completed while the pipe is outside of the ditch (requiring a transposition) and a variety of survey techniques must be used to capture the centreline locations. Surveying at a distance from the pipes can make verification to weld mapping and field inspection problematic. Recent advancements in remote sensing, particularly mobile LiDAR and imagery collection technology, have lowered collection and processing costs and expanded the applicability of the technology to complex collection environments and harsh conditions on pipeline construction rights-of-way. Additionally, there has been a marked improvement in overall data accuracy and precision from mobile mapping systems. Up until recently, these technologies have only been useful in static construction environments where periods of inactivity during construction afforded the time to set up and collect data in a safe and accurate manner. New remote sensing systems, designed for more rugged, fast-paced, and complex environments are expanding the use of mobile remote sensing to the pipeline construction right of way. These mobile mapping technologies have significant advantages over drone collected data particularly with respect to the logistics of the data collection. Recently, advanced mobile mapping technology was employed on various pipeline construction projects and the accuracy of LiDAR and imagery collection for centerline as-builting and weld mapping was assessed. Some of the project locations were in areas where the traditional manual collection of data could be deemed hazardous or unsafe. This paper evaluates the collection technique against the traditional methods used under hazardous or inaccessible conditions and discusses the benefits of mobile remote sensing for this scenario. The authors also provide an analysis of the remote sensing based as-built and weld mapping data against those acquired through the traditional technique during this trial. Opportunities for adoption of this method as well as improvements to its application are also discussed.


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