Simulation model for natural gas transmission pipeline network system

Woldeyohannes, Abraham Debebe; Majid, Mohd Amin Abd

doi:10.1016/j.simpat.2010.06.006

Cited by 129 publications

(62 citation statements)

References 22 publications

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“…There were weak inverse correlations between Mn-containing welding fumes and pulmonary function indices, and the inverse correlation between urinary Mn with forced vital capacities (FVC) and forced expiratory volume in 1 s (FEV1) was significant. (J Occup Health 2012; 54: 316-322) Key words: Biomarker, Manganese, Natural gas transmission pipeline welders, Pulmonary disorders, Welding fumes Natural gas is one of the main sources of energy in the world and is a cleaner fuel than fuel oil 1) . Development and planning of natural gas transmission pipelines have considerable impact on the economies of many countries such as Iran, because Iran holds the world's second largest reserves after Russia 2) .…”

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confidence: 99%

Occupational Exposure to Manganese‐containing Welding Fumes and Pulmonary Function Indices among Natural Gas Transmission Pipeline Welders

Hassani

Golbabaei

Ghahri

et al. 2012

Journal of Occupational Health

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Occupational Exposure to Manganese‐containing Welding Fumes and Pulmonary Function Indices among Natural Gas Transmission Pipeline Welders: Hamid HASSANI, et al. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Iran— Objectives The objectives of this study were to evaluate manganese (Mn)‐containing welding fumes' exposure, assess urinary Mn as a biomarker for Mn exposure and investigate the correlation of Mn in air, total fumes and urinary Mn with pulmonary function indices in 118 welders and 37 unexposed controls from two regions in Iran, Assaluyeh and Borujen. Methods Air samples were collected on mixed cellulose ester membrane filters in personal air samplers and then analyzed using inductively coupled plasma atomic emission spectroscopy (ICP‐AES) (NIOSH Method 7300). For all participants, urine samples were collected during the entire work shift, and Mn in urine was determined by graphite furnace atomic absorption spectroscopy according to NIOSH Method 8310. Spirometric measurements were also done for participants. Results The maximum exposures to airborne Mn and total fumes were 0.304 ± 0.256 mg/m3and 21.52 ± 9.40 mg/m3, respectively. The urine Mn levels in the various groups ranged between 0.77 to 7.58 µg/l. The correlation between airborne Mn and urinary Mn was significant for total whole participants. Some values of spirometric indices were statistically lower in welders rather than controls. Conclusions Our results indicate that many welders have been exposed to higher concentrations of Mn‐containing welding fumes. Urinary Mn can be used as a biomarker for Mn exposure. There were weak inverse correlations between Mn‐containing welding fumes and pulmonary function indices, and the inverse correlation between urinary Mn with forced vital capacities (FVC) and forced expiratory volume in 1 s (FEV1) was significant.

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confidence: 99%

Occupational Exposure to Manganese‐containing Welding Fumes and Pulmonary Function Indices among Natural Gas Transmission Pipeline Welders

Hassani

Golbabaei

Ghahri

et al. 2012

Journal of Occupational Health

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“…There are two main problems in natural gas distribution networks: optimization of pipeline diameter and determination of pressure distribution. Some research on pipeline diameter optimization can be found in [1][2][3], while some research on the determination of the pressure distribution in transmission networks can be found in [4], and more recently in [5].…”

Section: Introductionmentioning

confidence: 99%

Determination of Gas Pressure Distribution in a Pipeline Network using the Broyden Method

Sidarto

Kania

Mucharam

et al. 2017

J. Eng. Technol. Sci.

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Abstract.A potential problem in natural gas pipeline networks is bottlenecks occurring in the flow system due to unexpected high pressure at the pipeline network junctions resulting in inaccurate quantity and quality (pressure) at the end user outlets. The gas operator should be able to measure the pressure distribution in its network so the consumers can expect adequate gas quality and quantity obtained at their outlets. In this paper, a new approach to determine the gas pressure distribution in a pipeline network is proposed. A practical and userfriendly software application was developed. The network was modeled as a collection of node pressures and edge flows. The steady state gas flow equations Panhandle A, Panhandle B and Weymouth to represent flow in pipes of different sizes and a valve and regulator equation were considered. The obtained system consists of a set of nonlinear equations of node pressures and edge flowrates. Application in a network in the field involving a large number of outlets will result in a large system of nonlinear equations to be solved. In this study, the Broyden method was used for solving the system of equations. It showed satisfactory performance when implemented with field data.

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“…In the revised algorithms, methods of matrix compression storage and decomposition based solution procedures were used in order to cut down running time of algorithms. On a typical hard problem, the Cholesky decomposition is about 8000 times faster than the point Gauss-Seidel method, 200 times faster than the alternating direction implicit method, and 30 times faster than the block successive over relaxation method with optimum relaxation factor [7]. LU decomposition also is faster than no decomposition.…”

Section: Introductionmentioning

confidence: 99%

The Use of Least Square, Matrix Decomposition and Compression Techniques for Oil and Gas Pipeline Simulation

Xie¹,

Mei²

2016

IJMO

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Abstract-Oil and gas pipeline transmission network simulation is important for the petroleum industry. Existing node method monitors node pressure, simulate pipeline flow rate, and identify different risks. However, it may not be efficient enough to meet the real-time requirement. In this paper, we propose to improve the node method with two techniques. Using the node method, Comparing real data, average deviation, goodness of fit and height of matrix should be raised. First, the least square method is employed to replace the fluid distribution method. Second, matrix decomposition and compression are applied to matrix calculation. Experiments are undertaken on synthesis networks with different sizes. Results show that the new method is at least twice faster than the counterpart.

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Simulation model for natural gas transmission pipeline network system

Cited by 129 publications

References 22 publications

Occupational Exposure to Manganese‐containing Welding Fumes and Pulmonary Function Indices among Natural Gas Transmission Pipeline Welders

Occupational Exposure to Manganese‐containing Welding Fumes and Pulmonary Function Indices among Natural Gas Transmission Pipeline Welders

Determination of Gas Pressure Distribution in a Pipeline Network using the Broyden Method

The Use of Least Square, Matrix Decomposition and Compression Techniques for Oil and Gas Pipeline Simulation

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