scholarly journals Detection and sizing of extended partial blockages in pipelines by means of a stochastic successive linear estimator

2013 ◽  
Vol 16 (2) ◽  
pp. 248-258 ◽  
Author(s):  
Christian Massari ◽  
Tian Chyi J. Yeh ◽  
Marco Ferrante ◽  
Bruno Brunone ◽  
Silvia Meniconi
Keyword(s):  
Water System ◽  
Diameter Distribution ◽  
Linear Estimator ◽  
System Management ◽  
Pipeline System ◽  
Theoretical Formulation ◽  
Current State ◽  
Water Pipeline ◽  
Numerical Case Study

Effective water system management depends upon knowledge of the current state of a water pipeline system network. For example, in many cases, partial blockages in a water pipeline system are a source of inefficiencies, and result in an increase of pumping costs. These anomalies must be detected and corrected as early as possible. In this study, an algorithm is developed for detecting blockages by means of pressure transient measurements and estimating the diameter distribution resulting from their formation. The algorithm is a stochastic successive linear estimator that provides statistically the best unbiased estimate of diameter distribution due to partial blockages and quantifies the uncertainty associated with these estimates. We first present the theoretical formulation of the algorithm and then test it with a numerical case study.

Diagnosis of pipe systems by the SLE: first results

2013 ◽  
Vol 13 (4) ◽  
pp. 958-965 ◽  
Author(s):  
Christian Massari ◽  
Tian-Chyi J. Yeh ◽  
Marco Ferrante ◽  
Bruno Brunone ◽  
Silvia Meniconi
Keyword(s):  
Linear Estimator ◽  
Groundwater Hydrology ◽  
Theoretical Formulation ◽  
Pipe System ◽  
System Diagnosis ◽  
First Results ◽  
Unbiased Estimates ◽  
Pipe Systems ◽  
Numerical Case Study

In this study, an algorithm is presented for pipe system diagnosis. The algorithm is the Successive Linear Estimator (SLE) previously used in groundwater hydrology to estimate the hydraulic proprieties of soils. The SLE is an iterative cokriging-like technique which provides statistically the best unbiased estimates and quantifies the associated uncertainty. In this paper the algorithm has been extended to the pipe system diagnosis to infer leak areas, status of valves and partial blockage location and extent. We first present the theoretical formulation of the algorithm and then test it by a numerical case study.

scholarly journals Electrolytic corrosion of water pipeline system in the remote distance from stray currents—Case study

2016 ◽  
Vol 4 ◽  
pp. 116-124 ◽  
Author(s):  
Krzysztof Zakowski​ ◽  
Kazimierz Darowicki​ ◽  
Juliusz Orlikowski​ ◽  
Agata Jazdzewska​ ◽  
Stefan Krakowiak​ ◽  
...  
Keyword(s):  
Pipeline System ◽  
Electrolytic Corrosion ◽  
Water Pipeline

Case Study: Mardi Gras Deep Water Transportation System GIS and Underwater Inspections

2006 ◽  
Author(s):  
W. Leith McDonald ◽  
Gordon Gin ◽  
Rachel Boyle
Keyword(s):  
Deep Water ◽  
New Technology ◽  
Large Diameter ◽  
Transportation System ◽  
Pipeline System ◽  
Management Tools ◽  
Mardi Gras ◽  
Water Transportation ◽  
Water Pipeline

This paper presents a case study of BP’s Mardi Gras Gulf of Mexico deep water pipeline transportation system. The Mardi Gras Transportation System (MGTS), operated by BP Pipelines, N.A. has set the standard for large diameter, deepwater pipeline design, construction and maintenance. The pipelines range in size from NPS 16 to NPS 30 in water depths up to 7,300 ft. The paper showcases the ArcGIS and PODS relational database management tools and the process of how we implemented programs to track underwater facility features and their displacements caused by the 2005 hurricane season. We will describe the challenges, solutions and new technology used to monitor and maintain the integrity of this pipeline system, even when covered by 5000 feet or more of water. Submarine (ROV) inspection technology, digital video and GPS are the order of the day. We shall demonstrate how GIS can assist in managing and reporting the results of the inspections and setup a database for long term managment of the pipeline system.

On-line monitoring of biofilm formation in a brewery water pipeline system with a fibre optical device

2003 ◽  
Vol 47 (5) ◽  
pp. 19-24 ◽  
Author(s):  
A. Tamachkiarow ◽  
H.-C. Flemming
Keyword(s):  
Water System ◽  
Automatic Monitoring ◽  
Early Warning Systems ◽  
Pipeline System ◽  
Warning Systems ◽  
Biofilm Growth ◽  
Optical Device ◽  
On Line ◽  
Water Pipeline ◽  
Non Destructive

Any advanced anti-fouling strategy must be based on early warning systems which allow for timely, precisely directed and optimized countermeasures. Such systems must be able to detect biofilm growth on representative surfaces. In order to meet this requirement, a fibre optical device (FOS) has been developed. It is based on light which is scattered by objects deposited on the tip of an optical fibre. A receiving fibre collects the signal and forwards it to a detection and quantification unit. Both the sending and the receiving fibre are mounted in a measuring head which is integrated evenly on the inner surface of a water pipeline at representative sites. This device was applied to a water system of a brewery in order to put its reliability to test under practical conditions. The FOS detected the build-up of a deposit which was identified independently as consisting of microorganisms, i.e., a biofilm. A stable, well detectable and reproducible signal could be obtained above a colonization of 105 cells cm−2. Adjustment of the sensitivity of the amplifier allowed for detection of biofilms up to 1010 cells cm−2. Cleaning countermeasures could be detected clearly by a decrease of backscattered light intensity. The system proved to be suitable for on-line, non-destructive, real-time and automatic monitoring for a period of almost two years, and thus, provides an important constituent for an advanced anti-fouling strategy.

scholarly journals Protecting a Pumping Pipeline System from Low Pressure Transients by Using Air Pockets: A Case Study

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1786 ◽  
Author(s):  
Rafael Bernardo Carmona-Paredes ◽  
Oscar Pozos-Estrada ◽  
Libia Georgina Carmona-Paredes ◽  
Alejandro Sánchez-Huerta ◽  
Eduardo Antonio Rodal-Canales ◽  
...  
Keyword(s):  
Design Stage ◽  
Pipeline System ◽  
Pressure Waves ◽  
Transient Pressure ◽  
Transient Simulations ◽  
Transient Control ◽  
Water Pipeline ◽  
Potential Damage ◽  
Air Pockets

This paper presents a case study of an existing water pipeline with five pumping stations each equipped with five pumps. In order to study the pipeline behavior prior to putting the system into operation, several transient simulations for different scenarios were developed. Results revealed that the most serious situation occurred when a simultaneous failure of the five pumps occur at each station caused by power cut, producing negative pressure waves because the system for control of hydraulic transients of the pipeline was insufficient to suppress downsurge pressures, due to the moment of inertia of all the pumps being erroneously considered during the design stage. The necessity to start supplying water to the population led to attempt an unconventional form of protecting the line against low pressures. The solution was to operate two of the five pumps per plant, and permit air to enter through combination air valves located along the pipeline. Air entrained formed pockets that remained stationary at the air valves locations, acting as air cushions that absorbed the energy of transient pressure waves. Computational simulations were conducted considering that two pumps are in operation at each plant and suddenly these fail simultaneously caused by power failure. The program was verified by comparing the calculated results with those registered during field pressure measurements. It was noticed that the surge modelling results are in good agreement with the measured data; furthermore, these show the air pockets in combination with existing devices for transient control protect the system adequately, avoiding potential damage to the pipeline.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

scholarly journals A Case Study in View of Developing Predictive Models for Water Supply System Management

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3305
Author(s):  
Katarzyna Pietrucha-Urbanik ◽  
Barbara Tchórzewska-Cieślak ◽  
Mohamed Eid
Keyword(s):  
Water Supply ◽  
Predictive Models ◽  
Failure Modes ◽  
Supply System ◽  
Water Supply System ◽  
System Management ◽  
System A ◽  
Operational Failure ◽  
Operational Data

Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.

scholarly journals Defining and Quantifying Intermittency in the Power Sector

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3366
Author(s):  
Daniel Suchet ◽  
Adrien Jeantet ◽  
Thomas Elghozi ◽  
Zacharie Jehl
Keyword(s):  
Power Source ◽  
Production Data ◽  
Power Sector ◽  
Predictive Capacity ◽  
The Public ◽  
Current State ◽  
Definition Of ◽  
Quantitative Definition ◽  
The Impact

The lack of a systematic definition of intermittency in the power sector blurs the use of this term in the public debate: the same power source can be described as stable or intermittent, depending on the standpoint of the authors. This work tackles a quantitative definition of intermittency adapted to the power sector, linked to the nature of the source, and not to the current state of the energy mix or the production predictive capacity. A quantitative indicator is devised, discussed and graphically depicted. A case study is illustrated by the analysis of the 2018 production data in France and then developed further to evaluate the impact of two methods often considered to reduce intermittency: aggregation and complementarity between wind and solar productions.

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