Compression-based Facies Modelling.
Amalgamation ratio
Compression algorithm
Connectivity
Facies 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:
31
07
2022
accepted:
22
01
2023
medline:
23
6
2023
pubmed:
23
6
2023
entrez:
23
6
2023
Statut:
ppublish
Résumé
Simple object- or pixel-based facies models use facies proportions as the constraining input parameter to be honored in the output model. The resultant interconnectivity of the facies bodies is an unconstrained output property of the modelling, and if the objects being modelled are geometrically representative in three dimensions, commonly-available methods will produce well-connected facies when the model net:gross ratio exceeds about 30%. Geological processes have more degrees of freedom, and facies in high net:gross natural systems often have much lower connectivity than can be achieved by object-based or common implementations of pixel-based forward modelling. The compression method decouples facies proportion from facies connectivity in the modelling process and allows systems to be generated in which both are defined independently at input. The two-step method first generates a model with the correct connectivity but incorrect facies proportions using a conventional method, and then applies a geometrical transform to scale the model to the correct facies proportions while retaining the connectivity of the original model. The method, and underlying parameters, are described and illustrated using examples representative of low and high connectivity geological systems.
Identifiants
pubmed: 37351374
doi: 10.1007/s11004-023-10048-y
pii: 10048
pmc: PMC10281905
doi:
Types de publication
Journal Article
Langues
eng
Pagination
625-644Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
Conflict of interestThe authors have no competing interests.
Références
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Oct;66(4 Pt 2):046136
pubmed: 12443288
Math Geosci. 2023;55(4):461-496
pubmed: 37096029
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1995 Jul;52(1):819-828
pubmed: 9963485