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/ http://journalarticle.ukm.my/11690/ http://journalarticle.ukm.my/11690/1/24%20SM46%2011.pdf

id	ukm-11690
recordtype	eprints
spelling	ukm-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
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/ http://journalarticle.ukm.my/11690/ http://journalarticle.ukm.my/11690/1/24%20SM46%2011.pdf
first_indexed	2023-09-18T20:00:55Z
last_indexed	2023-09-18T20:00:55Z
_version_	1777406842308132864

Application of multivariate membership function discrimination method for lithology identification

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