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Application of multivariate membership function discrimination method for lithology identification

Formation lithology identification is an indispensable link in oil and gas exploration. Precision of the traditional recognition method is difficult to guarantee when trying to identify lithology of particular formation with strong heterogeneity and complex structure. In order to remove this defect,...

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Main Authors: Zhao, Jun, Wang, Feifei, Lu, Yifan
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/11690/1/24%20SM46%2011.pdf
http://journalarticle.ukm.my/11690/
http://www.ukm.my/jsm/english_journals/vol46num11_2017/contentsVol46num11_2017.htm
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spelling my-ukm.journal.116902018-05-28T00:17:42Z http://journalarticle.ukm.my/11690/ Application of multivariate membership function discrimination method for lithology identification Zhao, Jun Wang, Feifei Lu, Yifan Formation lithology identification is an indispensable link in oil and gas exploration. Precision of the traditional recognition method is difficult to guarantee when trying to identify lithology of particular formation with strong heterogeneity and complex structure. In order to remove this defect, multivariate membership function discrimination method is proposed, which regard to lithology identification as a linear model in the fuzzy domain and obtain aimed result with the multivariate membership function established. It is indicated by the test on lower carboniferous Bachu group bioclastic limestone section and Donghe sandstone section reservoir on T Field H area that satisfactory accuracy can be achieved in both clastic rock and carbonate formation and obvious advantages are unfold when dealing with complex formations, which shows a good application prospect and provides a new thought to solve complex problems on oilfield exploration and development with fuzzy theory. Penerbit Universiti Kebangsaan Malaysia 2017-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11690/1/24%20SM46%2011.pdf Zhao, Jun and Wang, Feifei and Lu, Yifan (2017) Application of multivariate membership function discrimination method for lithology identification. Sains Malaysiana, 46 (11). pp. 2223-2229. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num11_2017/contentsVol46num11_2017.htm
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Formation lithology identification is an indispensable link in oil and gas exploration. Precision of the traditional recognition method is difficult to guarantee when trying to identify lithology of particular formation with strong heterogeneity and complex structure. In order to remove this defect, multivariate membership function discrimination method is proposed, which regard to lithology identification as a linear model in the fuzzy domain and obtain aimed result with the multivariate membership function established. It is indicated by the test on lower carboniferous Bachu group bioclastic limestone section and Donghe sandstone section reservoir on T Field H area that satisfactory accuracy can be achieved in both clastic rock and carbonate formation and obvious advantages are unfold when dealing with complex formations, which shows a good application prospect and provides a new thought to solve complex problems on oilfield exploration and development with fuzzy theory.
format Article
author Zhao, Jun
Wang, Feifei
Lu, Yifan
spellingShingle Zhao, Jun
Wang, Feifei
Lu, Yifan
Application of multivariate membership function discrimination method for lithology identification
author_facet Zhao, Jun
Wang, Feifei
Lu, Yifan
author_sort Zhao, Jun
title Application of multivariate membership function discrimination method for lithology identification
title_short Application of multivariate membership function discrimination method for lithology identification
title_full Application of multivariate membership function discrimination method for lithology identification
title_fullStr Application of multivariate membership function discrimination method for lithology identification
title_full_unstemmed Application of multivariate membership function discrimination method for lithology identification
title_sort application of multivariate membership function discrimination method for lithology identification
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2017
url http://journalarticle.ukm.my/11690/1/24%20SM46%2011.pdf
http://journalarticle.ukm.my/11690/
http://www.ukm.my/jsm/english_journals/vol46num11_2017/contentsVol46num11_2017.htm
_version_ 1643738572965019648
score 13.250246

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