Using Neural Networks For Flow Pattern And Frictional Loss Estimation For Aerated Drilling Fluids

Flow Pattern and Frictional-Pressure-Loss Estimation Using Neural Networks for UBD Operations

10.2118/108340-ms ◽

2007 ◽

Cited By ~ 3

Author(s):

Mehmet Evren Ozbayoglu ◽

Murat Ahmet Ozbayoglu

Keyword(s):

Neural Networks ◽

Flow Pattern ◽

Pressure Loss ◽

Loss Estimation

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Dynamic Neural Networks with Semi Empirical Model for Mobile Radio Path Loss Estimation

Learning and Analytics in Intelligent Systems - Advances in Decision Sciences, Image Processing, Security and Computer Vision ◽

10.1007/978-3-030-24318-0_15 ◽

2019 ◽

pp. 119-129

Author(s):

Bhuvaneshwari Achayalingam ◽

Hemalatha Rallapalli ◽

Satya Savithri Tirumala

Keyword(s):

Neural Networks ◽

Empirical Model ◽

Path Loss ◽

Mobile Radio ◽

Loss Estimation ◽

Dynamic Neural Networks ◽

Radio Path ◽

Semi Empirical

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Graphical Processing Unit accelerated radio path-loss estimation with neural networks

The Journal of Defense Modeling and Simulation Applications Methodology Technology ◽

10.1177/1548512912458482 ◽

2012 ◽

Vol 10 (2) ◽

pp. 117-130

Author(s):

Adam McLeod ◽

Scott Bai ◽

Joseph Meyer

Keyword(s):

Neural Networks ◽

Path Loss ◽

Loss Estimation ◽

Graphical Processing Unit ◽

Processing Unit ◽

Radio Path ◽

Graphical Processing

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Neural networks approach for prediction of gas–liquid two-phase flow pattern based on frequency domain analysis of vortex flowmeter signals

Measurement Science and Technology ◽

10.1088/0957-0233/19/1/015401 ◽

2007 ◽

Vol 19 (1) ◽

pp. 015401 ◽

Cited By ~ 25

Author(s):

Zhiqiang Sun ◽

Hongjian Zhang

Keyword(s):

Neural Networks ◽

Frequency Domain ◽

Flow Pattern ◽

Two Phase Flow ◽

Domain Analysis ◽

Frequency Domain Analysis ◽

Phase Flow ◽

Two Phase ◽

Vortex Flowmeter

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Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows

International Journal of Multiphase Flow ◽

10.1016/j.ijmultiphaseflow.2010.05.001 ◽

2010 ◽

Vol 36 (9) ◽

pp. 738-754 ◽

Cited By ~ 66

Author(s):

E.S. Rosa ◽

R.M. Salgado ◽

T. Ohishi ◽

N. Mastelari

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Expert Systems ◽

Flow Pattern ◽

Performance Comparison ◽

Pattern Identification ◽

Artificial Neural ◽

Flow Pattern Identification ◽

Liquid Flows

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Flow pattern identification of horizontal two-phase refrigerant flow using neural networks

International Communications in Heat and Mass Transfer ◽

10.1016/j.icheatmasstransfer.2015.12.033 ◽

2016 ◽

Vol 71 ◽

pp. 254-264 ◽

Cited By ~ 16

Author(s):

Abdeel J. Roman ◽

Paul J. Kreitzer ◽

Jamie S. Ervin ◽

Michael S. Hanchak ◽

Larry W. Byrd

Keyword(s):

Neural Networks ◽

Flow Pattern ◽

Pattern Identification ◽

Two Phase ◽

Flow Pattern Identification

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Frictional Pressure Loss Estimation of Water-Based Drilling Fluids at Horizontal and Inclined Drilling with Pipe Rotation and Presence of Cuttings

10.2118/127300-ms ◽

2010 ◽

Cited By ~ 6

Author(s):

Mehmet Evren Ozbayoglu ◽

Mehmet Sorgun

Keyword(s):

Pressure Loss ◽

Loss Estimation ◽

Drilling Fluids ◽

Water Based ◽

Pipe Rotation

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The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows

Experimental Thermal and Fluid Science ◽

10.1016/j.expthermflusci.2015.08.010 ◽

2016 ◽

Vol 70 ◽

pp. 29-50 ◽

Cited By ~ 28

Author(s):

M.M.F. Figueiredo ◽

J.L. Goncalves ◽

A.M.V. Nakashima ◽

A.M.F. Fileti ◽

R.D.M. Carvalho

Keyword(s):

Neural Networks ◽

Flow Pattern ◽

Multiphase Flows ◽

Volume Fraction ◽

Ultrasonic Technique ◽

Gas Volume Fraction ◽

Gas Volume

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Artificial Neural Networks Approach for Estimating Filtration Properties of Drilling Fluids

Journal of the Japan Petroleum Institute ◽

10.1627/jpi.49.65 ◽

2006 ◽

Vol 49 (2) ◽

pp. 65-70 ◽

Cited By ~ 5

Author(s):

Zahra Jeirani ◽

Ali Mohebbi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Drilling Fluids ◽

Artificial Neural ◽

Filtration Properties

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The Use of Artificial Neural Networks for Flow Pattern Identification and GVF Determination in Two-phase Flows

Modelling, Simulation and Identification / 841: Intelligent Systems and Control ◽

10.2316/p.2016.841-011 ◽

2016 ◽

Author(s):

Mauricio Figueiredo ◽

Hugo Gutierrez ◽

Ana M. F. Fileti ◽

Nicolas Ratkovich ◽

Ricardo D.M. Carvalho

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Flow Pattern ◽

Pattern Identification ◽

Two Phase Flows ◽

Two Phase ◽

Artificial Neural ◽

Flow Pattern Identification

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