Vertical Stacking Statistics of Multi-facies Object-Based Models.
Amalgamation ratio
Compression algorithm
Compression-based model
Facies proportion
Object-based model
Journal
Mathematical geosciences
ISSN: 1874-8961
Titre abrégé: Math Geosci
Pays: Germany
ID NLM: 101538707
Informations de publication
Date de publication:
2023
2023
Historique:
received:
21
04
2022
accepted:
12
01
2023
medline:
25
4
2023
pubmed:
25
4
2023
entrez:
25
04
2023
Statut:
ppublish
Résumé
Equations describing facies proportions and amalgamation ratios are derived for randomly placed objects belonging to two or three foreground facies embedded in a background facies, as a function of the volume fractions and object thicknesses of independent facies models combined in a stratigraphically meaningful order. The equations are validated using one-dimensional continuum models. Evaluation of the equations reveals a simple relationship between an effective facies proportion and an effective amalgamation ratio, both measured as a function only of the facies in question and the background facies. This relationship provides a firm analytical basis for applying the compression algorithm to multi-facies object-based models. A set of two-dimensional cross-sectional models illustrates the approach, which allows models to be generated with realistic object stacking characteristics defined independently for each facies in a multi-facies object-based model.
Identifiants
pubmed: 37096029
doi: 10.1007/s11004-023-10046-0
pii: 10046
pmc: PMC10119076
doi:
Types de publication
Journal Article
Langues
eng
Pagination
461-496Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
Conflict of interestThe authors have no conflict of interest.
Références
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Oct;66(4 Pt 2):046136
pubmed: 12443288