165
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Prediction of Asphaltene Precipitation in Live and Tank Crude Oil Using Gaussian Process Regression

&
Pages 913-922 | Received 31 Aug 2010, Accepted 08 Oct 2010, Published online: 08 Apr 2013

REFERENCES

  • Ashoori , S. , Abedini , A. , Saboorian , H. , Qorbani Nasheghi , K. and Abedini , R. 2009 . Mechanisms of asphaltene aggregation in toluene and heptane mixtures . J. Japan Pet. Instit. , 52 : 283 – 287 .
  • Berger , J. O. 1985 . Statistical decision theory and Bayesian analysis. New York : Springer. .
  • Chaudhuri , U. R. and Ghosh , D. 2009 . Modeling simulation of a crude petroleum desalter using artificial neural network . Pet. Sci. Technol. , 27 : 1233 – 1250 .
  • Hall , M. A. 1999 . Correlation-based feature selection for machine learning , M.Sc. Thesis Hamilton , New Zealand : University of Waikato. .
  • Hu , Y. F. , Chen , G. J. , Yang , J. T. and Guo , T. M. 2000 . A study on the application of scaling equation for asphaltene precipitation . Fluid Phase Equilib. , 171 : 181 – 195 .
  • Khahsar Manshad , A. and Edalat , M. 2008 . Application of continuous polydisperse molecular thermodynamics for modeling asphaltene precipitation in crude oil systems . Energy Fuels , 22 : 2678 – 2686 .
  • Khaksar Manshad , A. , Khaksar Manshad , M. and Ashoori , S. 2012a . Intelligent modeling of asphaltene precipitation in live and tank crude oil systems . J. Pet. Sci. Technol. , 30 : 1392 – 1403 .
  • Khaksar Manshad , A. , Khaksar Manshad , M. and Ashoori , S. 2012b . Application of artificial neural network (ANN), genetic programming neural network (GPNN) for modeling of experimental data of slim tube permeability reduction by asphaltene precipitation in Iranian crude oil reservoirs . J. Pet. Sci. Technol. , 30 : 2450 – 2459 .
  • Khaksar Manshad , A. , Khaksar Manshad , M. and Ashoori , S. 2012c . Prediction of wax precipitation by neural network and genetic algorithm and comparison with multisolid model in crude oil systems . J. Pet. Sci. Technol. , 30 : 1369 – 1378 .
  • Khaksar Manshad , A. , Mofidi , A. M. and Edalat , M. 2008 . Developing of scaling equation with function of pressure to determine onset of asphaltene precipitation . J. Japan Pet. Instit. , 51 : 102 – 106 .
  • Mofidi , A. M. and Edalat , H. 2005 . A simplified thermodynamic modeling procedure for predicting asphaltene precipitation . Fuel , 85 : 2616 – 2621 .
  • Oloso , M. A. 2009 . Prediction of crude oil PVT properties by soft computing techniques. , M.Sc. Thesis King Fahd University of Petroleum and Minerals. .
  • Ozbayoglu , E. M. and Ozbayoglu , M. A. 2009 . Estimating flow patterns and frictional pressure losses of two-phase fluids in horizontal wellbores using artificial neural networks . Pet. Sci. Technol. , 27 : 135 – 149 .
  • Pan , H. and Firoozabadi , A. 2000 . Thermodynamic micellization model for asphaltene precipitation from reservoir crudes at high pressures and temperatures . SPE Prod. Facil. , 15 : 58 – 65 .
  • Park , S. J. and Mansoori , G. A. 1988 . Aggregation and deposition of heavy organics in petroleum crude . Energy Sources , 10 : 109 – 125 .
  • Rasmussen , C. E. and Williams , C. K. I. 2006 . Gaussian process for machine learning. Cambridge , MA : MIT Press. .
  • Rostami , H. , Shahkarami , A. R. and Azin , R. 2012 . Prediction of density of under saturated crude oil using multi layer feed-forward back propagation perceptron . J. Pet. Sci. Technol. , 30 : 89 – 99 .

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.