The Effect of Drillpipe Rotation on Pressure Losses and Fluid Velocity Profile in Foam Drilling

2008 ◽  
Author(s):  
Mingqin Duan ◽  
Stefan Z. Miska ◽  
Mengjiao Yu ◽  
Nicholas E. Takach ◽  
Ramadan Mohammed Ahmed ◽  
...  
Keyword(s):  
Velocity Profile ◽  
Fluid Velocity ◽  
Pressure Losses ◽  
Drillpipe Rotation ◽  
Foam Drilling

Investigation of Pressure Losses in Eccentric Inclined Annuli

2017 ◽  
Author(s):  
S. Rushd ◽  
R. A. Sultan ◽  
A. Rahman ◽  
V. Kelessidis
Keyword(s):  
Power Law ◽  
Fluid Velocity ◽  
Petroleum Industry ◽  
Pressure Losses ◽  
Hydraulic Design ◽  
Power Law Fluids ◽  
Hydraulic Conditions ◽  
Drillpipe Rotation ◽  
Extended Reach Drilling ◽  
Fluid Rheology

Accurate pressure drop estimation is vital in the hydraulic design of annular drillholes in Petroleum Industry. The present study investigates the effects of fluid velocity, fluid type, fluid rheology, drillpipe rotation speed, drillpipe eccentricity and drillhole inclinationon on pressure losses with the presence of cuttings using both experiments and computational fluid dynamics (CFD). The eccentricity of the drillpipe is varied in the range of 0 – 100% and it rotates about its own axis at 0 – 150 rpm. The diameter ratio of the simulated drillhole is 0.56 and it is inclined in the range of 0 – 15°. The effects of fluid rheology are addressed by testing power law and yield power law fluids. Both of the laminar and turbulent conditions are experimentally tested and numerically simulated. Experimental data confirmed the validity of current CFD model developed using ANSYS 16.2 platform. The goal of the current work is to develop a comprehensive CFD tool that can be used for modeling the hydraulic conditions associated with hole cleaning in extended reach drilling.

scholarly journals Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tiziana Ciano ◽  
Massimiliano Ferrara ◽  
Meisam Babanezhad ◽  
Afrasyab Khan ◽  
Azam Marjani
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Velocity Profile ◽  
Fluid Velocity ◽  
Accurate Prediction ◽  
Inference System ◽  
Porous Tube ◽  
Intelligence Algorithm ◽  
Water Based ◽  
Artificial Intelligence Algorithm

AbstractThe heat transfer improvements by simultaneous usage of the nanofluids and metallic porous foams are still an attractive research area. The Computational fluid dynamics (CFD) methods are widely used for thermal and hydrodynamic investigations of the nanofluids flow inside the porous media. Almost all studies dedicated to the accurate prediction of the CFD approach. However, there are not sufficient investigations on the CFD approach optimization. The mesh increment in the CFD approach is one of the challenging concepts especially in turbulent flows and complex geometries. This study, for the first time, introduces a type of artificial intelligence algorithm (AIA) as a supplementary tool for helping the CFD. According to the idea of this study, the CFD simulation is done for a case with low mesh density. The artificial intelligence algorithm uses learns the CFD driven data. After the intelligence achievement, the AIA could predict the fluid parameters for the infinite number of nodes or dense mesh without any limitations. So, there is no need to solve the CFD models for further nodes. This study is specifically focused on the genetic algorithm-based fuzzy inference system (GAFIS) to predict the velocity profile of the water-based copper nanofluid turbulent flow in a porous tube. The most intelligent GAFIS could perform the most accurate prediction of the velocity. Hence, the intelligence of GAFIS is tested for different values of cluster influence range (CIR), squash factor(SF), accept ratio (AR) and reject ratio (RR), the population size (PS), and the percentage of crossover (PC). The maximum coefficient of determination (~ 0.97) was related to the PS of 30, the AR of 0.6, the PC of 0.4, CIR of 0.15, the SF 1.15, and the RR of 0.05. The GAFIS prediction of the fluid velocity was in great agreement with the CFD. In the most intelligent condition, the velocity profile predicted by GAFIS was similar to the CFD. The nodes increment from 537 to 7671 was made by the GAFIS. The new predictions of the GAFIS covered all CFD results.

Mapping of protein fouling by FTIR-ATR as experimental tool to study membrane fouling and fluid velocity profile in various geometries and validation by CFD simulation

2008 ◽  
Vol 47 (7) ◽  
pp. 1106-1117 ◽  
Author(s):  
David Delaunay ◽  
Murielle Rabiller-Baudry ◽  
José M. Gozálvez-Zafrilla ◽  
Béatrice Balannec ◽  
Matthieu Frappart ◽  
...  
Keyword(s):  
Velocity Profile ◽  
Membrane Fouling ◽  
Cfd Simulation ◽  
Fluid Velocity ◽  
Protein Fouling ◽  
Experimental Tool

The Effect of Drillpipe Rotation on Annular Frictional Pressure Loss

1998 ◽  
Vol 120 (1) ◽  
pp. 61-66 ◽  
Author(s):  
X. Wei ◽  
S. Z. Miska ◽  
N. E. Takach ◽  
P. Bern ◽  
P. Kenny
Keyword(s):  
Horizontal Wells ◽  
Flow Loop ◽  
Rotary Drilling ◽  
Flow Models ◽  
Pressure Losses ◽  
Power Law Fluids ◽  
Drillpipe Rotation ◽  
Pipe Rotation ◽  
Thinning Effect ◽  
Good Agreement

Accurate predictions of annular frictional pressure losses (AFPL) are important for optimal hydraulic program design of both vertical and horizontal wells. In this study, the effects of drillpipe rotation on AFPL for laminar, helical flow of power law fluids are investigated through theoretical, study, flow models were developed for concentric and eccentric pipe configurations assuming that pipe rotates about its axis. A hybrid-analytical solution is developed for calculating AFPL in eccentric pipe configuration. Computer simulations indicate that the shear-thinning effect induced by pipe rotation results in reduction of AFPL in both concentric and eccentric pipe configurations. The pressure reduction is most significant for concentric pipe configurations. For conventional rotary drilling geometry and pipe rotary speeds, the reduction in AFPL is small. A number of laboratory experiments conducted on the full-scale TUDRP flow loop are generally in good agreement with the results of modeling. Available fileld data, however, consistently show an increase in AFPL. This behavior is explained by pipe lateral movement (swirling), which causes turbulence and eventually an increase in AFPL.

scholarly journals Effect of Drillpipe Rotation on Cuttings Transport during Horizontal Foam Drilling

2013 ◽  
Vol 56 (4) ◽  
pp. 230-235 ◽  
Author(s):  
Amna Gumati ◽  
Hiroshi Takahashi ◽  
Ausama A. Giwelli
Keyword(s):  
Cuttings Transport ◽  
Drillpipe Rotation ◽  
Foam Drilling

Estimation of the Fluid Velocity Profile in the Stratification Zone of a Falcon Concentrator

2019 ◽  
Vol 37 (1) ◽  
pp. 321-331 ◽  
Author(s):  
Ranjeet Kumar Singh ◽  
Raj Kishore ◽  
Kisor Kumar Sahu ◽  
Ganesh Chalavadi ◽  
Ratnakar Singh
Keyword(s):  
Velocity Profile ◽  
Fluid Velocity

Methodology for developing a high-precision ultrasound flow meter and fluid velocity profile reconstruction

2008 ◽  
Vol 55 (1) ◽  
pp. 161-172 ◽  
Author(s):  
Emmanuelle Mandard ◽  
Denis Kouame ◽  
Rodolphe Battault ◽  
Jean-Pierre Remenieras ◽  
Frederic Patat
Keyword(s):  
Velocity Profile ◽  
High Precision ◽  
Fluid Velocity ◽  
Flow Meter ◽  
Profile Reconstruction

Measurement of the fluid-velocity profile using a self-mixing superluminescent diode

2011 ◽  
Vol 22 (2) ◽  
pp. 025402 ◽  
Author(s):  
Luigi Rovati ◽  
Stefano Cattini ◽  
Nithiyanantham Palanisamy
Keyword(s):  
Velocity Profile ◽  
Fluid Velocity ◽  
Superluminescent Diode

scholarly journals Fluid velocity profile reconstruction for non-Newtonian shear dispersive flow

2001 ◽  
Vol 5 (2) ◽  
pp. 87-104 ◽  
Author(s):  
Paul R. Shorten ◽  
David J. N. Wall
Keyword(s):  
Inverse Problem ◽  
Velocity Profile ◽  
Fluid Velocity ◽  
Average Concentration ◽  
Two Dimensional ◽  
Cross Sectional ◽  
Dispersive Flow ◽  
Ill Posed ◽  
Profile Reconstruction ◽  
Well Posed

An inverse problem associated with the mass transport of a material concentration down a pipe where the flowing non-Newtonian medium has a two-dimensional velocity profile is examined. The problem of determining the two-dimensional fluid velocity profile from temporally varying cross-sectional average concentration measurements at upstream and downstream locations is considered. The special case of a known input upstream concentration with a time zero step, and a strictly decreasing velocity profile is shown to be a well-posed problem. This inverse problem is in general ill-posed and mollification is used to obtain a well conditioned problem.

scholarly journals CFD Method for Predicting Annular Pressure Losses and Cuttings Concentration in Eccentric Horizontal Wells

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Titus N. Ofei ◽  
Sonny Irawan ◽  
William Pao
Keyword(s):  
Experimental Data ◽  
Oil And Gas ◽  
Current Model ◽  
Fluid Velocity ◽  
Pipe Diameter ◽  
Pressure Losses ◽  
Gas Drilling ◽  
Drilling Parameters ◽  
Drilling Operations ◽  
Oil And Gas Drilling

In oil and gas drilling operations, predictions of pressure losses and cuttings concentration in the annulus are very complex due to the combination of interacting drilling parameters. Past studies have proposed many empirical correlations to estimate pressure losses and cuttings concentration. However, these developed correlations are limited to their experimental data range and setup, and hence, they cannot be applicable to all cases. CFD methods have the advantages of handling complex multiphase flow problems, as well as, an unlimited number of physical and operational conditions. The present study employs the inhomogeneous (Eulerian-Eulerian) model to simulate a two-phase solid-fluid flow and predict pressure losses and cuttings concentration in eccentric horizontal annuli as a function of varying drilling parameters: fluid velocity, diameter ratio (ratio of inner pipe diameter to outer pipe diameter), inner pipe rotation speed, and fluid type. Experimental data for pressure losses and cuttings concentration from previous literature compared very well with simulation data, confirming the validity of the current model. The study shows how reliable CFD methods can replicate the actual, yet complex oil and gas drilling operations.

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