Mathematical model of natural gas flow in pipelines in the presence of hydrate formation

2008 ◽  
Vol 6 ◽  
pp. 205-209
Author(s):  
V.Sh. Shagapov ◽  
R.R. Urazov
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Mass Transfer ◽  
Natural Gas ◽  
Phase Transformations ◽  
Gas Hydrates ◽  
Heat Conductivity ◽  
Gas Flow ◽  
Hydrate Formation ◽  
Natural Gas Flow

The flow of wet natural gas in the pipeline is considered in the presence of the formation of gas hydrates on the internal walls of the channel. In the description of the phenomenon, such interrelated processes as phase transformations and mass transfer of water into the composition of gas hydrates, heat transfer between the gas stream and the environment, heat conductivity in the ground are taken into account.

Investigation of hydrate formation in natural gas flow through underground transmission pipeline

2013 ◽  
Vol 15 ◽  
pp. 27-37 ◽  
Author(s):  
Mahmood Farzaneh-Gord ◽  
Hamid Reza Rahbari ◽  
Mahdi Bajelan ◽  
Lila Pilehvari
Keyword(s):  
Natural Gas ◽  
Gas Flow ◽  
Hydrate Formation ◽  
Transmission Pipeline ◽  
Flow Through ◽  
Natural Gas Flow

FEATURES OF FLOW AND HEAT TRANSFER IN THE INNER CAVITY OF THE FLAME STABILIZER IN THE PRESENCE AND ABSENCE OF NICHES ON ITS SIDE SURFACES

2018 ◽  
Author(s):  
Nataliia Fialko ◽  
◽  
Julii Sherenkovskiy ◽  
Nataliia Meranova ◽  
Serhii Aloshko ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Comparative Analysis ◽  
Natural Gas ◽  
Gas Flow ◽  
Type A ◽  
Flow And Heat Transfer ◽  
Presence And Absence ◽  
Stabilizer Type ◽  
Natural Gas Flow

For microjet burners of the stabilizer type, a study of the regularities of the natural gas flow in the inner cavity of the flame stabilizer has been carried out. A comparative analysis of the features of heat transfer from the inner surfaces of the stabilizer walls is carried out for two variants of its configuration: flat and in the presence of trapezoidal niches on its lateral surfaces.

scholarly journals Problem of conjugate heat transfer between main gas pipeline and frozen ground

2019 ◽  
Vol 102 ◽  
pp. 01001
Author(s):  
Edward Bondarev ◽  
Igor Rozhin ◽  
Kira Argunova
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Gas Flow ◽  
Hydrate Formation ◽  
Conjugate Problem ◽  
Gas Pipeline ◽  
Frozen Ground ◽  
Flow Area ◽  
Tube Cross Section ◽  
Main Gas Pipeline

Mathematical model of non-isothermal gas flow within the framework of tube hydraulics including change of tube cross-section due to hydrate formation and the dependence of coefficient of heat transfer between gas and hydrate layer on varying flow area is proposed. The corresponding conjugate problem of heat exchange between imperfect gas in the pipeline and the environment is reduced to the solution of differential equations describing non-isothermal flow of gas in pipes and heat transfer equations in ground with the corresponding conjugation conditions. In the quasi-stationary mathematical model of hydrate formation (dissociation), the dependence of gas-hydrate transition temperature on gas pressure is taken into account. Some decisions taken in the design of the first section of the main gas pipeline «Power of Siberia» have been analyzed. It has been shown that if gas is not sufficiently dried, outlet pressure may drop below the technological limit in about 6-7 hours. At the same time, for completely dry gas ,it is possible to reduce the cost of thermal insulation of the pipeline at least two fold.

Application of Machine Learning in Gas-Hydrate Formation and Trendline Prediction

2021 ◽  
Author(s):  
Celestine Udim Monday ◽  
Toyin Olabisi Odutola
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Natural Gas ◽  
Gas Hydrate ◽  
Gas Flow ◽  
Flow Line ◽  
Learning Algorithms ◽  
Hydrate Formation ◽  
Machine Learning Algorithms ◽  
Gas Hydrate Formation

Abstract Natural Gas production and transportation are at risk of Gas hydrate plugging especially when in offshore environments where temperature is low and pressure is high. These plugs can eventually block the pipeline, increase back pressure, stop production and ultimately rupture gas pipelines. This study seeks to develops machine learning models after a kinetic inhibitor to predict the gas hydrate formation and pressure changes within the natural gas flow line. Green hydrate inhibitor A, B and C were obtained as plant extracts and applied in low dosages (0.01 wt.% to 0.1 wt.%) on a 12meter skid-mounted hydrate closed flow loop. From the data generated, the optimal dosages of inhibitor A, B and C were observed to be 0.02 wt.%, 0.06 wt.% and 0.1 wt.% respectively. The data associated with these optimal dosages were fed to a set of supervised machine learning algorithms (Extreme gradient boost, Gradient boost regressor and Linear regressor) and a deep learning algorithm (Artificial Neural Network). The output results from the set of supervised learning algorithms and Deep Learning algorithms were compared in terms of their accuracies in predicting the hydrate formation and the pressure within the natural gas flow line. All models had accuracies greater than 90%. This result show that the application Machine learning to solving flow assurance problems is viable. The results show that it is viable to apply machine learning algorithms to solve flow assurance problems, analyzing data and getting reports which can improve accuracy and speed of on-site decision making process.

Coupled Heat and Mass Transfer CFD Model for Methane Hydrate

2015 ◽  
Author(s):  
Eugenio Turco Neto ◽  
M. A. Rahman ◽  
Syed Imtiaz ◽  
Thiago dos Santos Pereira ◽  
Fernanda Soares de Sousa
Keyword(s):  
Natural Gas ◽  
Multiphase Flow ◽  
Gas Hydrate ◽  
Gas Flow ◽  
Three Dimensional ◽  
Hydrate Formation ◽  
Cfd Model ◽  
Flow Metering ◽  
Ansys Cfx ◽  
Gas Hydrate Formation

The gas hydrates problem has been growing in offshore deep water condition where due to low temperature and high pressure hydrate formation becomes more favorable. Several studies have been done to predict the influence of gas hydrate formation in natural gas flow pipeline. However, the effects of multiphase hydrodynamic properties on hydrate formation are missing in these studies. The use of CFD to simulate gas hydrate formation can overcome this gap. In this study a computational fluid dynamics (CFD) model has been developed for mass, heat and momentum transfer for better understanding natural gas hydrate formation and its migration into the pipelines using ANSYS CFX-14. The problem considered in this study is a three-dimensional multiphase-flow model based on Simon Lo (2003) study, which considered the oil-dominant flow in a pipeline with hydrate formation around water droplets dispersed into the oil phase. The results obtained in this study will be useful in designing a multiphase flow metering and a pump to overcome the pressure drop caused by hydrate formation in multiphase petroleum production.

Field Calibration of Orifice Meters for Natural Gas Flow

1989 ◽  
Vol 111 (1) ◽  
pp. 22-33
Author(s):  
V. C. Ting ◽  
J. J. S. Shen
Keyword(s):  
Natural Gas ◽  
Gas Flow ◽  
Reynolds Numbers ◽  
National Standard ◽  
Test Facility ◽  
Critical Flow ◽  
Calibration Data ◽  
Discharge Coefficients ◽  
Sand Hills ◽  
Natural Gas Flow

This paper presents the orifice calibration results for nominal 15.24, 10.16, and 5.08-cm (6, 4, 2-in.) orifice meters conducted at the Chevron’s Sand Hills natural gas flow measurement facility in Crane, Texas. Over 200 test runs were collected in a field environment to study the accuracy of the orifice meters. Data were obtained at beta ratios ranging from 0.12 to 0.74 at the nominal conditions of 4576 kPa and 27°C (650 psig and 80°F) with a 0.57 specific gravity processed, pipeline quality natural gas. A bank of critical flow nozzles was used as the flow rate proving device to calibrate the orifice meters. Orifice discharge coefficients were computed with ANSI/API 2530-1985 (AGA3) and ISO 5167/ASME MFC-3M-1984 equations for every set of data points. The uncertainty of the calibration system was analyzed according to The American National Standard (ANSI/ASME MFC-2M-A1983). The 10.16 and 5.08-cm (4 and 2-in.) orifice discharge coefficients agreed with the ANSI and ISO standards within the estimated uncertainty level. However, the 15.24-cm (6-in.) meter deviated up to − 2 percent at a beta ratio of 0.74. With the orifice bore Reynolds numbers ranging from 1 to 9 million, the Sand Hills calibration data bridge the gap between the Ohio State water data at low Reynolds numbers and Chevron’s high Reynolds number test data taken at a larger test facility in Venice, Louisiana. The test results also successfully demonstrated that orifice meters can be accurately proved with critical flow nozzles under realistic field conditions.

scholarly journals Economic impacts of natural gas flow disruptions between Russia and the EU

Energy Policy ◽  
2017 ◽  
Vol 106 ◽  
pp. 288-297 ◽  
Author(s):  
Maaike C. Bouwmeester ◽  
J. Oosterhaven
Keyword(s):  
Natural Gas ◽  
Gas Flow ◽  
Economic Impacts ◽  
Flow Disruptions ◽  
The Eu ◽  
Natural Gas Flow
Sign in / Sign up

Export Citation Format

Share Document