268
Views
23
CrossRef citations to date
0
Altmetric
Original Articles

PREDICTION OF HORIZONTAL OIL-WATER FLOW PRESSURE GRADIENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES

&

References

  • Adhikari , B. , and Jindal , V. K. ( 2000 ). Artificial neural networks: A new tool for prediction of pressure drop of non-Newtonian fluid foods through tubes , J. Food Eng. , 46 , 43 – 51 .
  • Alizadehdakhel , A. , Rahimi , M. , Sanjari , J. , and Alsairafi , A. A. ( 2009 ). CFD and artificial neural network modeling of two-phase flow pressure drop , Int. Commun. Heat Mass Transfer , 36 , 850 – 856 .
  • Al-Wahaibi , T. ( 2012 ). Pressure gradient correlation for oil-water separated flow in horizontal pipes , Exp. Therm. Fluid Sci. , 42 , 196 – 203 .
  • Al-Wahaibi , T. , Smith , M. , and Angeli , P. ( 2007 ). Effect of drag-reducing polymers on horizontal oil-water flows , J. Pet. Sci. Eng. , 57 ( 3–4 ), 334 – 346 .
  • Al-Yaari , M. , Soleimani , A. , Abu-Sharkh , B. , Al-mubaiyedh , U. , and Al-sarkhi , A. ( 2009 ). Effect of drag reducing polymers on oil–water flow in a horizontal pipe , Int. J. Multiphase Flow , 35 , 516 – 524 .
  • Angeli , P. , and Hewitt , G. F. ( 1998 ). Pressure gradient in horizontal liquid-liquid flows , Int. J. Multiphase Flow , 24 ( 7 ), 1183 – 1203 .
  • Bar , N. , Bandyopadhyay , T. K. , Biswas , M. N. , and Das , S. K. ( 2010 ). Prediction of pressure drop using artificial neural network for non-Newtonian liquid flow through piping components , J. Pet. Sci. Eng. , 71 , 187 – 194 .
  • Brauner , M. , and Moalem Maron , D. ( 1989 ). Two phase liquid-liquid stratified flow , Phys. Chem. Hydrodynamics , 11 , 487 – 506 .
  • Chakrabarti , D. P. , Das , G. , and Ray , S. ( 2005 ). Pressure drop in liquid–liquid two phase horizontal flow: Experiments and prediction , Chem. Eng. Technol. , 28 , 1003 – 1009 .
  • Chakrabarti , D. P. , Pilgrim , A. , Sastry , M. K. S. , and Das , G. ( 2011 ). Identification of liquid–liquid flow pattern in a horizontal pipe using artificial neural network , Chem. Eng. Commun. , 198 , 273 – 285 .
  • Charles , M. E. , and Lilleleht , L. U. ( 1966 ). Correlation of pressure gradients for the stratified laminar-turbulent pipeline flow of two immiscible liquids , Can. J. Chem. Eng. , 44 , 47 – 49 .
  • Demuth , H. , and Beale , M. ( 2000 ). Neural Network Toolbox for Use with MATLAB, User Guide , MathWorks , Natick, Mass .
  • Dukler , A. E. , Wicks , M. , and Cleveland , R. G. ( 1964 ). Pressure drop and hold-up in two-phase flow , AIChE J. , 10 , 38 – 51 .
  • Elseth , G. ( 2001 ). An experimental study of oil-water flow in horizontal pipes, PhD diss., Norwegian University of Science and Technology, Porsgrunn.
  • Gayon , P. H. , Pina , A. , Ahmed , I. , and Faraj , A. ( 2008 ). Viscosity modelling for reservoir fluids: Contribution of partial least square with bootstrap techniques and neural networks , Oil Gas Sci. Technol. , 63 , 629 – 643 .
  • Himmelblau , D. M. ( 2000 ). Application of artificial neural networks in chemical engineering , Korean J. Chem. Eng. , 17 ( 4 ), 373 – 392 .
  • Lahiri , S. K. , and Ghanta , K. C. ( 2008 ). Development of an artificial neural network correlation for prediction of hold-up of slurry transport in pipelines , Chem. Eng. Sci. , 63 , 1497 – 1509 .
  • Liu , Y. , Zhang , H. , Wang , S. , and Wang , J. ( 2008 ). Prediction of pressure gradient and holdup in small Eötvös number liquid-liquid segregated flow , Chin. J. Chem. Eng. , 16 ( 2 ), 184 – 191 .
  • Lockhart , R. W. , and Martinelli , R. C. ( 1949 ). Proposed correlation of data for isothermal two-phase, two-component flow in pipes , Chem. Eng. Prog. , 45 , 39 – 48 .
  • Lovick , J. , and Angeli , P. ( 2004 ). Experimental studies on the dual continuous flow pattern in oil-water flows , Int. J. Multiphase Flow , 30 , 139 – 157 .
  • Mjalli , F. S. , and Al-Mfargi , A. (2010). Neural network-based heat and mass transfer coefficients for the hybrid modeling of fluidized reactors, Chem. Eng. Commun. , 197, 318–342.
  • Nädler , M. , and Mewes , D. ( 1997 ). Flow induced emulsification in the flow of two immiscible liquids in horizontal pipes , Int. J. Multiphase Flow , 23 , 55 – 68 .
  • Naseeh , S. , Mohebbi , A. , Sarrafi , A. , and Taheri , M. ( 2009 ). Estimation of pressure drop in venturi scrubbers based on annular two-phase flow model, artificial neural networks and generic algorithm , Chem. Eng. J. , 150 , 131 – 138 .
  • Rey-Fabret , I. , Sankar , R. , Duret , E. , Heintze , E. , and Henriot , V. ( 2001 ). Neural networks tools for improving tacite hydrodynamic simulation of multiphase flow behavior in pipelines , Oil Gas Sci. Technol. , 56 , 471 – 478 .
  • Rodriguez , O. M. H. , and Oliemans , R. V. A. ( 2006 ). Experimental study on oil–water flow in horizontal and slightly inclined pipes , Int. J. Multiphase Flow , 32 , 323 – 343 .
  • Salgado , C. M. , Brandão , L. E. , Schirru , R. , Pereira , C. M. , da Silva , A. X. , and Ramos , R. ( 2009 ). Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network , Appl. Radiat. Isotopes , 67 , 174 – 177 .
  • Stapelberg , H. H. , and Mewes , D. ( 1994 ). The pressure loss and slug frequency of liquid-liquid-gas slug flow in horizontal pipes , Int. J. Multiphase Flow , 20 , 285 – 303 .
  • Valle , A. , and Kvandal , H. ( 1995 ). Pressure drop and dispersion characteristics of separated oil/water flow , Proc. Int. Symp. on Two-Phase Flow Modelling and Experimentation , Rome , Italy , 583 – 592 .
  • Yousuf , T. ( 2011 ). Experimental study in horizontal oil-water flow, PhD diss., Ahmadu Bello University, Nigeria.
  • Zhao , Z. C. , Zhang , X. D. , Wang , D. , and Xu , J. M. ( 2005 ). Calculation of thixotropic stress of waxy crude oil by BP artificial neural network , Dalian Ligong Daxue Xuebao/J. Dalian Univ. Technol. , 45 ( 2 ), 181 – 185 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.