NDLI: Inversion of mud invasion of horizontal layered formation with induction logs in Mahuangshan area

Content Provider	IEEE Xplore Digital Library
Author	Wenhui Chang Heping Pan Yonggang Zhao Song Lu
Copyright Year	2010
Description	Author affiliation: Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China (Wenhui Chang; Heping Pan; Song Lu) \|\| Logging Company of North China Petroleum Boreau of SINOPEC, Xinxiang 453700, China (Yonggang Zhao)
Abstract	Combining dual induction logging curves and eight lateral logging curves, we establish a two-dimensional resistivity forward model of horizontal layered formation (considering the borehole, the flushed zone, etc.) by Doll geometric factor theory. The resistivity of flushed zone, radius of mud invasion, resistivity of virgin formation are inversed with the least-squares method. For different layers, cyclic variable method is used to complete the inversion of two-dimensional formation. The calculation showed that the combined method is good at the inversion of dual induction logs of Mahuangshan area. Writing the code by FORTRAN language, the inversion is fast and the curves from inversion fit the measured logs well (absolute error is less than 0.001). The affect of mud invasion is removed, meanwhile the differences among oil layer, oil-water layer and water layer is enhanced. The interpretations from the inversion logs fit the tests better.
Starting Page	3176
Ending Page	3180
File Size	293735
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coils Dual induction logging Geophysics Conductivity least-square method cyclic variable method Reservoirs Data models Numerical models radial resistivity ratio geometric factor Petroleum
Content Type	Text
Resource Type	Article

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