Title :
Notice of Retraction
A novel porosity simulation method using the Markov model
Author :
Juan Qi ; Chaomin Mu ; Ting Zhang
Author_Institution :
Center of Modern Educ. Technol., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Porosity is quite significant for the characterization and prediction of transport properties. To simulate the porosity values, a porosity simulation method using Markov model based on cokriging is proposed to simulate the continuous values of porosity. Although cokriging is an unbiased prediction method with minimum prediction variance, original cokriging cannot solve the problem of instability in matrix. However, according to the hypothesis of screening effect provided by a Markov model, cokriging can be successfully approximated. The screening hypothesis indicates that the hard (primary) datum screens the influence of any other datum on the soft (secondary) collocated datum. Experimental results show that our method is better than the original full cokriging without Markov model, and regenerates the characteristics of soft data well.
Keywords :
Markov processes; data analysis; geophysics computing; interpolation; porosity; Markov model; cokriging; matrix instability; porosity simulation method; prediction variance; soft data well; unbiased prediction method; Markov model; cokriging; interpolation; porosity; simulation;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564924