CFD for Multiphase Flow Transport in Pipelines

2011 ◽  
Author(s):  
M. Ramdin ◽  
R. A. W. M. Henkes
Keyword(s):  
Surface Tension ◽  
Multiphase Flow ◽  
Oil And Gas ◽  
Three Dimensional ◽  
Oil And Gas Industry ◽  
Bubble Velocity ◽  
Multiphase Model ◽  
Gas Industry ◽  
Flow Transport ◽  
Numerical Grid

There is an increasing interest in applying three-dimensional Computational Fluid Dynamics (CFD) for multiphase flow transport in pipelines, e.g. in the oil and gas industry. In this study the Volume of Fluid (VOF) multiphase model in the commercial CFD code FLUENT was used to benchmark the capabilities. Two basic flow structures, namely the Benjamin bubble and the Taylor bubble, are considered. These two structures are closely related to the slug flow regime, which is a common flow pattern encountered in multiphase transport pipelines. After non-dimensionalization, the scaled bubble velocity (Froude number) is only dependent on the Reynolds number and on the Eo¨tvo¨s number, which represent the effect of viscosity and surface tension, respectively. Simulations were made for a range of Reynolds numbers and Eo¨tvo¨s numbers (including the limits of vanishing viscosity and surface tension), and the results were compared with existing experiments and analytical expressions. Overall there is very good agreement. An exception is the simulation for the 2D Benjamin bubble at low Eo¨tvo¨s number (i.e. large surface tension effect) which deviates from the experiments, even at a refined numerical grid.

Computational Fluid Dynamics Modeling of Benjamin and Taylor Bubbles in Two-Phase Flow in Pipes

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
M. Ramdin ◽  
Ruud Henkes
Keyword(s):  
Fluid Dynamics ◽  
Surface Tension ◽  
Computational Fluid Dynamics ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Bubble Velocity ◽  
Multiphase Model ◽  
Dynamics Modeling ◽  
Two Phase ◽  
Eotvos Number

Abstract There is an increasing interest in applying three-dimensional computational fluid dynamics (CFD) for multiphase flow transport in pipelines, e.g., in the oil and gas industry. In this study, the volume of fluid (VOF) multiphase model in a commercial CFD code was used to benchmark the capabilities. Two basic flow structures, namely, the Benjamin bubble and the Taylor bubble, are considered. These two structures are closely related to the slug flow regime, which is a common flow pattern encountered in multiphase transport pipelines. After nondimensionalization, the scaled bubble velocity (Froude number) is only dependent on the Reynolds number and on the Eötvös number, which represent the effect of viscosity and surface tension, respectively. Simulations were made for a range of Reynolds numbers and Eötvös numbers (including the limits of vanishing viscosity and surface tension), and the results were compared with the existing experiments and analytical expressions. Overall, there is very good agreement. An exception is the simulation for the 2D Benjamin bubble at a low Eötvös number (i.e., large surface tension effect) which deviates from the experiments, even at a refined numerical grid.

scholarly journals Hydrodynamic Study of Oil Leakage in Pipeline via CFD

2014 ◽  
Vol 6 ◽  
pp. 170178 ◽  
Author(s):  
Morgana de Vasconcellos Araújo ◽  
Severino Rodrigues de Farias Neto ◽  
Antonio Gilson Barbosa de Lima ◽  
Flávia Daylane Tavares de Luna
Keyword(s):  
Oil And Gas ◽  
Three Dimensional ◽  
Oil And Gas Industry ◽  
Transient Pressure ◽  
Pipe Length ◽  
Gas Industry ◽  
Efficient Detection ◽  
Ansys Cfx ◽  
Oil Flow ◽  
Dynamics Simulations

This paper describes the transient dynamics behavior of oil flow in a pipe with the presence of one or two leaks through fluid dynamics simulations using the Ansys CFX commercial software. The pipe section is three-dimensional with a pipe length of 10 m, a pipe diameter of 20 cm, and leak diameter of 1.6 mm. The interest of this work is to evaluate the influence of the flow velocity, and the number and position of leaks on the transient pressure behavior. These new data may provide support for more efficient detection systems. Thus, this work intends to contribute to the development of tools of operations in oil and gas industry.

scholarly journals Predicting the Dynamic Parameters of Multiphase Flow in CFD (Dam-Break Simulation) Using Artificial Intelligence-(Cascading Deployment)

Fluids ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 44 ◽  
Author(s):  
S. Hosseini Boosari
Keyword(s):  
Artificial Intelligence ◽  
Numerical Simulation ◽  
Multiphase Flow ◽  
Fast Track ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Dam Break ◽  
Data Driven ◽  
Time Step ◽  
Gas Industry

Multiphase flow of oil, gas, and water occurs in a reservoir’s underground formation and also within the associated downstream pipeline and structures. Computer simulations of such phenomena are essential in order to achieve the behavior of parameters including but not limited to evolution of phase fractions, temperature, velocity, pressure, and flow regimes. However, within the oil and gas industry, due to the highly complex nature of such phenomena seen in unconventional assets, an accurate and fast calculation of the aforementioned parameters has not been successful using numerical simulation techniques, i.e., computational fluid dynamic (CFD). In this study, a fast-track data-driven method based on artificial intelligence (AI) is designed, applied, and investigated in one of the most well-known multiphase flow problems. This problem is a two-dimensional dam-break that consists of a rectangular tank with the fluid column at the left side of the tank behind the gate. Initially, the gate is opened, which leads to the collapse of the column of fluid and generates a complex flow structure, including water and captured bubbles. The necessary data were obtained from the experience and partially used in our fast-track data-driven model. We built our models using Levenberg Marquardt algorithm in a feed-forward back propagation technique. We combined our model with stochastic optimization in a way that it decreased the absolute error accumulated in following time-steps compared to numerical computation. First, we observed that our models predicted the dynamic behavior of multiphase flow at each time-step with higher speed, and hence lowered the run time when compared to the CFD numerical simulation. To be exact, the computations of our models were more than one hundred times faster than the CFD model, an order of 8 h to minutes using our models. Second, the accuracy of our predictions was within the limit of 10% in cascading condition compared to the numerical simulation. This was acceptable considering its application in underground formations with highly complex fluid flow phenomena. Our models help all engineering aspects of the oil and gas industry from drilling and well design to the future prediction of an efficient production.

Three-Dimensional Multibody Tracked Vehicle Modeling and Simulation

2003 ◽  
Author(s):  
Corina Sandu ◽  
Jeffrey S. Freeman
Keyword(s):  
Oil And Gas ◽  
Three Dimensional ◽  
Oil And Gas Industry ◽  
Vehicle Model ◽  
Road Vehicles ◽  
Gas Industry ◽  
Tracked Vehicles ◽  
Applied Forces ◽  
The Military ◽  
Recursive Dynamics

Off-road vehicles have broad areas of application (in agriculture, in the construction industry, in the transport industry, in the military, in the U.S. space programs, in the oil and gas industry). A large segment of the off-road vehicles is made up by the tracked vehicles. The purpose of this study is to develop and implement an independent vehicle model. The vehicle model is general, in the sense that it is not restricted to a specific vehicle; it can model vehicles with varying numbers of road wheels, or different suspension characteristics It can be used, together with a track model, to analyze several types of tracked vehicles. A recursive dynamics formulation approach is used to model the vehicle. All the computations are performed in relative coordinates. The kinematic formulation of the model is presented, as well as the dynamic analysis, including the external and the internal applied forces. Dynamic settling simulations of the vehicle model on several types of soil are presented. The vehicle model presented in this study serves as a support, to help testing and comparing different track models and track-terrain interaction formulations.

The Challenges of Multiphase Flow Metering: Today and Beyond

2007 ◽  
Author(s):  
Gioia Falcone ◽  
Claudio Alimonti
Keyword(s):  
Multiphase Flow ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Black Box ◽  
Full Potential ◽  
Gas Industry ◽  
Individual Measurement ◽  
Flow Metering ◽  
Wet Gas ◽  
The Impact

Since the early 1990’s, when the first commercial meters started to appear, Multiphase Flow Metering (MFM) has grown from being an area of R&D to representing a discipline in its own right within the oil and gas industry. The total figure for MFM installations worldwide is now over 1,800. Field applications include production optimisation, wet gas metering, mobile well testing and production allocation. However, MFM has not yet achieved its full potential. Despite an impressive improvement in the reliability of sensors and mechanical parts (particularly for subsea installations) over the past few years, there remain unresolved questions regarding the accuracy and range of applicability of today’s MFM technology. There is also a tendency to forget the complexity of multiphase flow and to evaluate the overall performance of a MFM as a “black box”, often neglecting all the possible uncertainties that are inherent in each individual measurement solutions. This paper reviews the inherent limitations of some classical MFM techniques. It highlights the impact of instruments rangeability, empirical correlations for pressure drop devices and fluids characterisation on the error propagation analysis in the “black box”. It also provides a comprehensive review of wet gas definitions for the oil and gas industry. Several attempts have been made to define “wet gas” for the purpose of metering streams at high gas-volume-fractions, but a single definition of wet gas still does not exist. The measurement of multiphase flows presents unique challenges that have not yet been fully resolved. However, the challenges are exciting and the authors have no doubts that new milestones will soon be set in this area. Today’s MFM technology has already become one piece of the optimised production system jigsaw. MFM has succeeded in fitting with other technologies toward global field-wide solutions. The ideal MFM of the future is one that provides unambiguous measurements of key parameters from which the flow rates can be deduced independently from flow regimes and fluid properties.

Modeling Compressive Reaction in Shock-Driven Secondary Granular Explosives

2011 ◽  
Author(s):  
Aaron L. Brundage
Keyword(s):  
Energetic Materials ◽  
Oil And Gas ◽  
Mixture Theory ◽  
Oil And Gas Industry ◽  
Department Of Energy ◽  
Multiphase Model ◽  
Gas Industry ◽  
The Us ◽  
Impact Experiments ◽  
Compaction Waves

Hexanitrostilbene (HNS) is a secondary, granular explosive with a wide usage in commercial and governmental sectors. For example, HNS is used in the aerospace industry as boosters in rockets, in the oil and gas industry in linear shaped charge designs in wellbore perforating guns, and in a number of applications in the US Department of Energy (DOE) and Department of Defense (DoD). In many of these applications, neat granules of HNS are pressed without binder and device performance is achieved with shock initiation of the powdered bed. Previous studies have demonstrated that powdered explosives do not transmit sharp shocks, but produce dispersive compaction waves. These compaction waves can induce combustion in the material, leading to a phenomenon termed Deflagration-to-Detonation Transition (DDT). The Baer-Nunziato (B-N) multiphase model was developed to predict compressive reaction in granular energetic materials due to shock and non-shock inputs using non-equilibrium multiphase mixture theory. The B-N model was fit to historical data of HNS, and this model was used to predict recent impact experiments where samples pressed to approximately 60% of theoretical maximum density (TMD) were shock loaded by high-velocity flyers [1]. Shock wave computations were performed using CTH, an Eulerian, multimaterial, multidimensional, finite-volume shock physics code developed at Sandia National Laboratories [2]. Predicted interface velocities using the B-N model were shown to be in good agreement with the measurements. Furthermore, an uncertainty quantification study was performed and the computational results are presented with best estimates of uncertainty.

scholarly journals Pressure Drop Determination for Multiphase Flow in a Vertical Well Tubing

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Sarah A Akintola
Keyword(s):  
Pressure Drop ◽  
Multiphase Flow ◽  
Flow Model ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Modified Model ◽  
Multiphase Fluid Flow ◽  
Fluid Properties ◽  
Multiphase Fluid

Several studies have been carried out, by researchers to predict multiphase flow pressure drop in the oil and gas industry, but yet there seems to be one being generally acceptable for accurate prediction of pressure drop. This is as a result of some constraints in each of these models, which makes the pressure drop predicted by the model far from accurate when compared to measured data from the field. This study is aimed at developing a multiphase fluid flow model in a vertical tubing using the Duns and Ros flow model. Data from six wells were utilized in this study and results obtained from the Modified model compared with that of Duns and Ros model along other models. From the result, it was observed that the newly developed model (Modified Duns and Ros Model) gives more accurate result with a R-squared value of 0.9936 over the other models. The Modified model however, is limited by the choice of correlations used in the computation of fluid properties.

Multiphase flow metering with nuclear magnetic resonance

2015 ◽  
Vol 82 (11) ◽  
Author(s):  
Attila M. Bilgic ◽  
Johannes W. Kunze ◽  
Volker Stegemann ◽  
Jankees Hogendoorn ◽  
Lucas Cerioni ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Multiphase Flow ◽  
Oil And Gas ◽  
High Sensitivity ◽  
Oil And Gas Industry ◽  
High Water ◽  
Single Measurement ◽  
Gas Industry ◽  
Flow Metering ◽  
Measurement Principle

AbstractThe measurement of fluids in the oil and gas industry requires a robust measurement of multiphase flows. Magnetic resonance as a measurement principle has multiple advantages over existing technologies (one single measurement principle, measurement performed from outside the pipe with no intruding sensors, full bore design, suited for producing wells and high sensitivity at high water liquid ratios). A magnetic resonance based multiphase flow meter which is capable of producing an image of the spatial distribution of a multiphase flow has been developed. This article describes the principles of magnetic resonance. Afterwards details of the technical implementation and the method by which the system determines multiphase flow composition are explained.

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