Advanced Computational Modeling for Estimating Safe Cuttings Load Through MPD Surface Equipment

2021 ◽  
Author(s):  
Kedar Deshpande ◽  
Pravin Naphade ◽  
Chad Wuest
Keyword(s):  
Pressure Drop ◽  
Cfd Simulation ◽  
Operating Conditions ◽  
Cfd Modeling ◽  
Drilling Mud ◽  
Operational Parameters ◽  
Modeling Approach ◽  
Fluid Properties ◽  
Pass Through ◽  
Critical Components

Abstract The critical components of Managed Pressure Drilling (MPD) operations include surface manifold, surface chokes and the pipes connected to Mud Gas separators. The MPD surface equipment needs to safely handle a multiphase mixture of drilling mud, cuttings load and reservoir fluid influx during operations. The focus of this work is to establish safe cuttings load limit that can be handled by MPD system using advanced computational fluid dynamics (CFD) modeling approach. In MPD operations the surface choke is the key surface manifold component through which the fluid and cuttings flow before entering the Coriolis meter. Based on choke position only a certain volume and size of cuttings (cuttings load) can pass through chokes without causing unintentional pressure surges. In this work, Non-Newtonian fluid flow using Eulerian-Granular modeling approach is presented to understand the effects of cuttings load and different choke positions on the overall pressure drop through MPD surface manifold. Several CFD studies were conducted for different choke sizes, cuttings load and fluid properties to understand velocity profiles, cuttings accumulation and pressure drop across the MPD surface manifold. CFD results were first validated with available test data to generate confidence in CFD simulation model settings, good match was observed in pressure values between test and numerical results. Based on CFD simulations, charts were developed showing effect of operational parameters that help field personnel design the best surface equipment configuration, determine associated pressure drop and guard against the possibility of Non-Productive Time (NPT). CFD studies provided insights into cuttings accumulation and associated pressure drop change across choke for given operating conditions. Usage of advanced computational methods helped model the multi-phase flow with cuttings accurately and provided safe cuttings load estimation for given range of operational parameters.

CFD Simulation of Fin-and-Tube Heat Exchanger with Louvered Fin Configuration: Technical Note

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
M. Sabari ◽  
D. Channankiah ◽  
D. Shivalingappa
Keyword(s):  
Heat Transfer ◽  
Heat Exchanger ◽  
Pressure Drop ◽  
Cfd Simulation ◽  
Calculated Data ◽  
Technical Note ◽  
Operating Conditions ◽  
Tube Heat Exchanger ◽  
Louvered Fin ◽  
Almost All

Heat exchanger plays a major role in almost all mechanical industries. Enhancement of heat transfer surface plays major role in numerous applications such as in heat exchangers, refrigeration and air conditioning systems etc. This paper examines the fluid flow and heat exchange on the air side of a multi-row fin-and-tube heat exchanger. A brief comparison is given between fin-and-tube heat exchanger attributes with louvered fins in a wider range of operating conditions defined by inlet air velocities. The brief representation on the calculated data for the louvered heat exchanger shows better heat transfer characteristics with a slightly higher pressure drop. The CFD procedure is validated by comparing the numerical simulation results with different inlet air velocities. Best combination of higher heat transfer and minimum pressure drop are occurred in inlet air velocity of 2.5 m/s.

A New 1.5-Stage Turbine Wheelspace Hot Gas Ingestion Rig (HGIR): Part II — CFD Modeling and Validation

2013 ◽  
Author(s):  
Zhongman Ding ◽  
Pepe Palafox ◽  
Kenneth Moore ◽  
Raymond Chupp ◽  
Kevin Kirtley
Keyword(s):  
Test Data ◽  
Cfd Simulation ◽  
Operating Conditions ◽  
Cfd Modeling ◽  
Test Configuration ◽  
Reduced Order ◽  
Sector Model ◽  
Hot Gas ◽  
Seal Design ◽  
Good Agreement

Fundamental test data for different rim seal geometries have been obtained from the Hot Gas Ingestion Rig (HGIR), a scaled 1.5-stage turbine rig configured from a current generation heavy duty gas turbine. With well-controlled operating conditions the rig has provided valuable sets of data for CFD tool validation. Part I of this work [1] introduced details on the HGIR design and test data summary from selected rim seal configurations and test conditions. In this study, Part II, CFD simulations were carried out on the baseline test configuration, and different modeling approaches were compared to identify and validate a “reduced-order” CFD methodology, i.e. CFX analyses using the k-ε model with scalable wall function. The results show steady state CFD simulation to be incapable of predicting the ingestion levels observed from rig data. However, unsteady solutions using a two-vane/four-blade sector model including a stator-rotor domain interface showed ingestion over the outer rim seal that was in reasonably good agreement with test data. Good agreement was also obtained on pressure distributions in the circumferential direction. The identified “reduced-order” CFD modeling methodology demonstrated enough sensitivity to differentiate between sealing geometry variations, and thus can be applied to guide rim seal design.

scholarly journals Pipeline Design Software and the Simulation of Liquid Propane/Butane - Light Oils Pipeline Operations

1996 ◽  
Author(s):  
John Peters
Keyword(s):  
Pressure Drop ◽  
Computer Software ◽  
Simulation Software ◽  
Operating Conditions ◽  
Fuel Oil ◽  
Fluid Temperature ◽  
Fluid Properties ◽  
Products Pipeline ◽  
The Impact ◽  
Propane Butane

A comprehensive and integrated suite of computer software routines has been developed to simulate the flow of liquids in pipelines. The fluid properties module accommodates Newtonian and non-Newtonian liquids or mixtures including corrections for changes in properties with temperature and pressure. The hydraulic model calculates pressure drop in single or looped pipelines based on the diameter, route (length) and profile data provided. For multi-product pipelines the hydraulics module estimates energy loss for any sequence of batches given the size and fluid properties of each batch, and the velocity in the pipeline. When the characteristics of existing or proposed pipeline pumps are included, location and size of pumps can be optimized. The effect of heat loss on pressure drop is predicted by invoking the module which calculates the fluid temperature profile based on operating conditions, fluid properties, pipe and insulation conductivity and soil heat transfer data. Modules, created to simulate heater or cooler operations, can be incorporated to compensate for changes in temperature. Input data and calculated results can be presented in a format customized by the user. The simulation software has been successfully applied to multi-product, fuel oil, and non-Newtonian emulsion pipelines. The simulation and operation of a refinery products pipeline for the transportation of propane, butane, gasoline, jet and diesel batches will be discussed. The impact of high vapour pressure batches (i.e., propane and butane) on the operation of the pipeline and on the upstream and downstream facilities will be examined in detail.

CFD Modeling of Flow and Heat Transfer Inside a Liquid-Cooled Exhaust Manifold

2003 ◽  
Author(s):  
Rade Milanovic ◽  
Chenn Q. Zhou ◽  
Jim Majdak ◽  
Robert Cantwell
Keyword(s):  
Heat Transfer ◽  
Flow Property ◽  
Industrial Applications ◽  
Operating Conditions ◽  
Cfd Modeling ◽  
Inlet Temperature ◽  
Operational Parameters ◽  
Manifold Optimization ◽  
Parametric Effects ◽  
And Performance

Liquid cooled exhaust manifolds are used in turbo charged diesel and gas engines in the marine and various industrial applications. Performance of the manifold has a significant impact on the engine efficiency. Modifying manifold design and changing operational parameters are ways to improve its performance. With the rapid advance of computer technology and numerical methods, Computational Fluid Dynamics (CFD) has become a powerful tool that can provide useful information for manifold optimization. In this study, commercial CFD software (FLUENT®) was used to analyze liquid cooled exhaust manifolds. Detailed information of flow property distribution and heat transfer were obtained in order to provide a fundamental understanding of the manifold operation. Experimental data was compared with the CFD results to validate the numerical simulation. Computations were performed to investigate the parametric effects of operating conditions (engine rotational speed, coolant flow rate, coolant inlet temperature, exhaust gas inlet temperature, surface roughness of the manifold’s material) on the performance of the manifold. Results were consistent with the experimental observations. Suggestions were made to improve the manifold design and performance.

Enhanced Computational Fluid Dynamics Modeling and Laser Doppler Anemometer Measurements for the Air-Flow in an Aero-engine Front Bearing Chamber—Part II

2015 ◽  
Vol 137 (8) ◽  
Author(s):  
J. Aidarinis ◽  
A. Goulas
Keyword(s):  
Pressure Drop ◽  
Rotational Speed ◽  
Ball Bearing ◽  
Computational Study ◽  
Air Flow ◽  
Cfd Modeling ◽  
Mathematical Form ◽  
Operational Parameters ◽  
Aero Engine ◽  
Flow Through

A detailed computational study of the air-flow through the outer gap of the front bearing of an aero-engine is presented. The reason to carry out this study was to understand the flow through the bearing as a function of the operational parameters of the engine, which was necessary for the modeling of the flow in the whole bearing chamber. The complex geometry and the size of the bearing gap relative to the overall dimensions of the bearing chamber and the need for very precise and detailed information of the effect on the flow within the chamber of the bearing operational parameters, prohibited the solution of the flow through the gap together with the rest of the bearing chamber. A 3D modeling of the flow through the outer bearing gap, which included a section of the ball bearing, was performed. Functions relating the pressure drop of the air coming through the bearing gap and the tangential component of velocity of the air exiting the bearing region, to the mass of air through the gap of the ball bearing and the rotational speed of the shaft were developed. The effect of the lubrication oil within the bearing was modeled as an anisotropic porous medium with a predefined law. In order to acquire in a mathematical form the above relationships a series of computational runs were performed. These relationships, in the form of second order curves, were subsequently introduced to the model of the bearing chamber as described by Aidarinis and Goulas (2014, “Enhanced CFD Modeling and LDA Measurements for the Air-Flow in an Aero Engine Front Bearing Chamber (Part I),” ASME Paper No. GT2014-26060). The constants of the relationships were derived through comparisons of the calculations with the experimental data. From the analysis, it was concluded that the pressure drop across the bearing increases with the square of the rotational speed of the shaft with the mass flow of air through the ball bearing as a parameter and vice versa. For this particular ball bearing, there is a region where, for any combination of rotational speed of the shaft and pressure drop through the bearing, there is no flow of air through the bearing. In this paper the detailed modeling methodology, the computational flow field, the boundary conditions and finally the results are presented and discussed.

Modeling and Predicting Gas-Solid Fluidized Bed Dynamics to Capture Nonuniform Inlet Conditions

2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Santhip K. Kanholy ◽  
Jillian Chodak ◽  
Brian Y. Lattimer ◽  
Francine Battaglia
Keyword(s):  
Binary Mixture ◽  
Fluidized Beds ◽  
Cfd Simulation ◽  
Solid Phase ◽  
Particle Diameter ◽  
Cfd Modeling ◽  
Dead Zones ◽  
Modeling Approach ◽  
Inlet Conditions ◽  
Eulerian Modeling

The hydrodynamics of fluidized beds involving gas-solids interactions are very complex, and modeling such a system using computational fluid dynamics (CFD) modeling is even more challenging for mixtures composed of nonuniform particle characteristics such as diameter or density. Another issue is the presence of dead-zones, regions of particles that do not fluidize and accumulate at the bottom of the bed, affecting uniform fluidization of the material. The dead zones typically form between the gas jets and depend on the spacing of the distributor holes and gas velocity. Conventionally, in Eulerian–Eulerian modeling for gas-solid mixtures, the solid phase is assumed to behave like a fluid, and the presence of dead zones are not typically captured in a CFD simulation. Instead, the entire bed mass present in an experiment is usually modeled in the simulations assuming complete fluidization of the bed mass. A different modeling approach was presented that accounts for only the fluidizing mass by adjusting the initial mass present in the bed using the measured pressure drop and minimum fluidization velocity from the experiments. In order to demonstrate the fidelity of the new modeling approach, three different bed materials were examined that can be classified as Geldart B particles. Glass beads and ceramic beads of the same mean particle diameter were used, as well as larger-sized ceramic particles. Binary mixture models were also validated for two types of bed mixtures consisting of glass-ceramic and ceramic-ceramic compositions. It was found that adjusting the amount of fluidizing mass in the modeling of fluidized beds best predicted the fluidization dynamics of an experiment for both single phase and binary mixture fluidized beds.

scholarly journals Designing and studying operational parameters of hydrocyclone for oil – water separation

2019 ◽  
Vol 26 (4) ◽  
pp. 41-51
Author(s):  
Maryam Ibrahim Chasib ◽  
Raghad Fareed Qasim
Keyword(s):  
Pressure Drop ◽  
Flow Rate ◽  
Separation Efficiency ◽  
Design Procedure ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Operational Parameters ◽  
Water Separation ◽  
Water Emulsion ◽  
Split Ratio

This research presents the design procedure for liquid – liquid hydrocyclone to separate kerosene – water emulsion. It studies the effects of varying feed flow rate (6, 8, 10, and 12 l/min), inlet kerosene concentration (250, 500, 750, 1000, and 1250 ppm) , and split ratio (0.1, 0.3, 0.5, 0.7, and 0.9) on the outcomes; separation efficiency and pressure drop ratio . This study used factorial experimental design assisted with Minitab program to obtain the optimum operating conditions. It was shown that inlet concentration of 250 ppm, 12 l/min inlet flow rate, and 0.9 split ratio gave 94.78 % as maximum separation efficiency and 0.895 as minimum pressure drop ratio.

scholarly journals A Transported Livengood-Wu Integral Model for Knock Prediction in CFD Simulation

2020 ◽  
Author(s):  
Zongyu Yue ◽  
Chao Xu ◽  
Sibendu Som ◽  
C. Scott Sluder ◽  
K. Dean Edwards ◽  
...  
Keyword(s):  
Cfd Simulation ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Single Stage ◽  
Integral Model ◽  
Two Stage ◽  
Modeling Approach ◽  
Oscillation Analysis ◽  
Auto Ignition ◽  
Wide Range

Abstract This work describes the development of a transported Livengood-Wu (L-W) integral model for computational fluid dynamics (CFD) simulation to predict auto-ignition and engine knock tendency. The currently employed L-W integral model considers both single-stage and two-stage ignition processes, thus can be generally applied to different fuels such as paraffin, olefin, aromatics and alcohol. The model implementation is first validated in simulations of homogeneous charge compression ignition combustion for three different fuels, showing good accuracy in prediction of auto-ignition timing for fuels with either single-stage or two-stage ignition characteristics. Then, the L-W integral model is coupled with G-equation model to indicate end-gas auto-ignition and knock tendency in CFD simulations of a direct-injection spark-ignition engine. This modeling approach is about 10 times more efficient than the ones that based on detailed chemistry calculation and pressure oscillation analysis. Two fuels with same Research Octane Number (RON) but different octane sensitivity are studied, namely Co-Optima Alkylate and Co-Optima E30. Feed-forward neural network model in conjunction with multi-variable minimization technique is used to generate fuel surrogates with targets of matched RON, octane sensitivity and ethanol content. The CFD model is validated against experimental data in terms of pressure traces and heat release rate for both fuels under a wide range of operating conditions. The knock tendency — indicated by the fuel energy contained in the auto-ignited region — of the two fuels at different load conditions correlates well with the experimental results and the fuel octane sensitivity, implying the current knock modeling approach can capture the octane sensitivity effect and can be applied to further investigation on composition of octane sensitivity.

A Transported Livengood-Wu Integral Model for Knock Prediction in CFD Simulation

2021 ◽  
Author(s):  
Zongyu Yue ◽  
Chao Xu ◽  
Sibendu Som ◽  
Charles Scott Sluder ◽  
K. Dean Edwards ◽  
...  
Keyword(s):  
Cfd Simulation ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Single Stage ◽  
Integral Model ◽  
Two Stage ◽  
Modeling Approach ◽  
Oscillation Analysis ◽  
Auto Ignition ◽  
Wide Range

Abstract This work describes the development of a transported Livengood-Wu (L-W) integral model for computational fluid dynamics (CFD) simulation to predict auto-ignition and engine knock tendency. The currently employed L-W integral model considers both single-stage and two-stage ignition processes, thus can be generally applied to paraffin, olefin, aromatics and alcohol. The model implementation is first validated in simulations of homogeneous charge compression ignition combustion for three different fuels, showing good accuracy in prediction of auto-ignition timing for fuels with either single-stage or two-stage ignition characteristics. Then, the L-W integral model is coupled with G-equation model to indicate end-gas auto-ignition and knock tendency in CFD simulations of a direct-injection spark-ignition engine. This modeling approach is about 10 times more efficient than the ones that based on detailed chemistry calculation and pressure oscillation analysis. Two fuels with same Research Octane Number but different octane sensitivity are studied, namely Co-Optima Alkylate and Co-Optima E30. The CFD model is validated against experimental data in terms of pressure traces and heat release rate for both fuels under a wide range of operating conditions. The knock tendency-indicated by fuel energy contained in the auto-ignited region-of the two fuels at different load conditions correlates well with the experimental results and the fuel octane sensitivity, implying the current knock modeling approach can capture the octane sensitivity effect and can be applied to further investigation on composition of octane sensitivity.

scholarly journals Water Management in PEM Fuel Cell: A Lattice-Boltzmann Modeling Approach

2009 ◽  
Author(s):  
Shiladitya Mukherjee ◽  
J. Vernon Cole ◽  
Kunal Jain ◽  
Ashok Gidwani
Keyword(s):  
Water Management ◽  
Diffusion Layer ◽  
Lattice Boltzmann ◽  
Intermolecular Forces ◽  
Gas Diffusion ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Cfd Modeling ◽  
Analysis Tool ◽  
Modeling Approach

In Proton Exchange Membrane Fuel Cells (PEMFCs), water management and the effective transport of water through the gas-diffusion-layer (GDL) are key issues for improved performance at high power density and for durability during freeze-thaw cycles. The diffusion layer is a thin (∼150–350μm), porous material typically composed of a web of carbon fibers and particles, and is usually coated with hydrophobic Teflon to remove the excess water through capillary action. In-situ diagnostics of water movement and gas-reactant transport through this thin opaque substrate is challenging. Numerical analyses are typically based on simplified assumptions, such as Darcy’s Law and Leverett functions for the capillary pressure. The objective of this work is to develop a high fidelity CFD modeling and analysis tool to capture the details of multiphase transport through the porous GDL. The tool can be utilized to evaluate GDL material design concepts and optimize systems based on the interactions between cell design, materials, and operating conditions. The flow modeling is based on the Lattice Boltzmann Method (LBM). LBM is a powerful modeling tool to simulate multiphase flows. Its strength is in its kinetic theory based foundation, which provides a fundamental basis for incorporating intermolecular forces that lead to liquid-gas phase separation and capillary effects without resorting to expensive or ad-hoc interface reconstruction schemes. At the heart of the solution algorithm is a discrete form of the well-known Boltzmann Transport Equation (BTE) for molecular distribution, tailored to recover the continuum Navier-Stokes flow. The solution advances by a streaming and collision type algorithm, mimicking actual molecular physics, which makes it suitable for porous media involving complex boundaries. We developed a numerical scheme to reconstruct various porous GDL microstructures including Teflon loading. Single and multiphase LBM models are implemented to compute permeability. Predicted values are in good agreement with measured data. The present modeling approach resolves the GDL microstructures and captures the influence of fiber orientation on permeability and the influence of Teflon loading on the development of preferential flow paths through the GDL. These observations can potentially guide the development of novel GDL materials designed for efficient removal of water.

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