DocumentCode
517977
Title
Notice of Retraction
Application of improved collocated cokriging
Author
Shaohua Li ; Yuanpeng Jiang
Author_Institution
Coll. of Geosci., Yangtze Univ., Jingzhou, China
Volume
5
fYear
2010
fDate
16-18 April 2010
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.
The collocated cokriging is such a method that can simulate primary parameter distribution integrating secondary parameter with high efficiency. However, the problem of variance inflation in sequential Gaussian simulation with collocated cokriging causes the input statistics not be reproduced. In this paper, an improved method is introduced. That is the secondary data is used not only at the location being estimated but also at all conditional data locations. An example in Zaoyuan well pattern of Qinshui Basin is presented. In this example, the porosity is primary parameter and ash content is as secondary parameter. The simulated results from traditional and improved methods are compared. The variance inflation observed in the models built by traditional method does not appear in the models constructed by improved method.
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.
The collocated cokriging is such a method that can simulate primary parameter distribution integrating secondary parameter with high efficiency. However, the problem of variance inflation in sequential Gaussian simulation with collocated cokriging causes the input statistics not be reproduced. In this paper, an improved method is introduced. That is the secondary data is used not only at the location being estimated but also at all conditional data locations. An example in Zaoyuan well pattern of Qinshui Basin is presented. In this example, the porosity is primary parameter and ash content is as secondary parameter. The simulated results from traditional and improved methods are compared. The variance inflation observed in the models built by traditional method does not appear in the models constructed by improved method.
Keywords
ash; geophysical techniques; China; Qinshui Basin; Zaoyuan well pattern; ash content; collocated cokriging; porosity; primary parameter distribution; sequential Gaussian simulation; stochastic simulation; variance inflation; Ash; Computational efficiency; Computational modeling; Educational institutions; Geology; Parameter estimation; Probability distribution; Statistical distributions; Statistics; Stochastic processes; collocated cokriging; porosity; stochastic simulation; variance; zaoyuan;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485347
Filename
5485347
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