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author:

Xu, H. (Xu, H..) [1] | Maccarthy, I.A.J. (Maccarthy, I.A.J..) [2]

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Abstract:

A computer software package, SAVFS, is presented for statistical analysis of vertical facies sequences using the Markov chain or variations of it. The analysis may reveal the possible presence of preferred vertical occurrences of facies in sedimentary successions. SAVFS is written in FORTRAN 77 for IBM-PC or compatible microcomputers. Based on the combination of some generally used methods. SAVFS provides three analytical methods, Gingerich-Harper, Powers-Easterling and Selley-Turk. This remedies some of the problems occurring with single methods and improves the statistical techniques. SAVFS calculates various matrices and automatically estimates significance levels. In the Gingerich-Harper method, SAVFS allows the user to test significance at different levels. In addition, the package performs a comparison of multi-sections so that data from several similar stratigraphic sections may be combined and presented as a single section. A set of scales for significance derived from the values of the normalized difference and binomial probability matrices is proposed. This makes the results of the Powers-Esterling and Selley-Turk methods comparable with those of the Gingerich-Harper method. A case study of the Courtmacsherry Formation (Tournaisian) in Ireland using SAVFS demonstrates that two facies transition successions, sandy and muddy successions, are revealed. The sandy facies transition succession well illustrated a coarsening-upward sequence, representing a storm- and wave-dominated shallow marine environment. The vertical facies sequences of the formation are extracted from this apparently random succession.

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  • [ 1 ] [Xu, H.]Department of Geology, University College Cork, Cork, Ireland
  • [ 2 ] [Xu, H.]Department of Environmental and Resource Engineering, Fuzhou University, Fujian 350002, China
  • [ 3 ] [Maccarthy, I.A.J.]Department of Geology, University College Cork, Cork, Ireland

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Source :

Computers and Geosciences

ISSN: 0098-3004

Year: 1998

Issue: 2

Volume: 24

Page: 131-139

0 . 4 1 2

JCR@1998

4 . 2 0 0

JCR@2023

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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