气候变化领域集成服务门户(CCPortal): Geostatistical earth modeling of cyclic depositional facies and diagenesis

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DOI	10.1306/05091918122
	Geostatistical earth modeling of cyclic depositional facies and diagenesis
	Le Blevec T.; Dubrule O.; John C.M.; Hampson G.J.
发表日期	2020
ISSN	0149-1423
起始页码	711
结束页码	734
卷号	104 期号:3
英文摘要	In siliciclastic and carbonate reservoirs, depositional facies are commonly described as being organized in cyclic successions overprinted by diagenesis. Most reservoir modeling workflows are not able to stochastically reproduce such patterns. Herein, a novel geostatistical method is developed to model depositional facies architectures that are rhythmic and cyclic, together with superimposed diagenetic facies. The method uses truncated Pluri-Gaussian random functions constrained by transiograms. Cyclicity is defined as an asymmetric ordering between facies, and its direction is given by a three-dimensional vector, called shift. This method is illustrated in two case studies. Outcrop data of the Triassic Latemar carbonate platform, northern Italy, are used to model shallowing-upward facies cycles in the vertical direction. A satellite image of the modern Bermuda platform interior is used to model facies cycles in the windward-to-leeward lateral direction. Because depositional facies architectures are modeled using two Gaussian random functions, a third Gaussian random function is added to model diagenesis. Thereby, depositional and diagenetic facies can exhibit spatial asymmetric relationships. The method is applied in the Latemar carbonate platform that experiences syndepositional dolomite formation. The method can also incorporate proportion curves to model nonstationary facies proportions. This is illustrated in Cretaceous shallow-marine sandstones and mudstones of the Book Cliffs (Utah), for which cyclic facies and diagenetic patterns are constrained by embedded transition probabilities. © 2020 The American Association of Petroleum Geologists. All rights reserved.
语种	英语
scopus关键词	Carbonation; Gaussian distribution; Sedimentology; Carbonate platforms; Carbonate reservoir; Dolomite formations; Facies architecture; Gaussian random functions; Geostatistical method; Three-dimensional vectors; Transition probabilities; Deposition; carbonate platform; depositional environment; diagenesis; dolomite; facies; Gaussian method; geostatistics; satellite imagery; siliciclastic deposit; stochasticity; three-dimensional modeling
来源期刊	AAPG Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/143717
作者单位	Earth Science and Engineering, Imperial College London, London, United Kingdom
推荐引用方式 GB/T 7714	Le Blevec T.,Dubrule O.,John C.M.,et al. Geostatistical earth modeling of cyclic depositional facies and diagenesis[J],2020,104(3).
APA	Le Blevec T.,Dubrule O.,John C.M.,&Hampson G.J..(2020).Geostatistical earth modeling of cyclic depositional facies and diagenesis.AAPG Bulletin,104(3).
MLA	Le Blevec T.,et al."Geostatistical earth modeling of cyclic depositional facies and diagenesis".AAPG Bulletin 104.3(2020).