DOI: 10.1306/04211211179
Scopus记录号: 2-s2.0-84869426056
论文题名: A database approach for constraining stochastic simulations of the sedimentary heterogeneity of fluvial reservoirs
作者: Colombera L. ; Felletti F. ; Mountney N.P. ; McCaffrey W.D.
刊名: AAPG Bulletin
ISSN: 0149-1722
EISSN: 1558-9452
出版年: 2012
发表日期: 2012
卷: 96, 期: 11 起始页码: 2143
结束页码: 2166
语种: 英语
Scopus关键词: Architectural element
; Architectural features
; Controlling factors
; Data sets
; Different scale
; Dimensional parameters
; Fluvial reservoirs
; Genetic units
; Geometrical informations
; Geostatistical simulation
; Input parameter
; Lithofacies
; Partial characterization
; Primary data
; Relational Database
; Reservoir architecture
; River pattern
; Sedimentary architecture
; Silt contents
; Spatial complexity
; Spatial relationships
; Spatial variations
; Stochastic simulations
; Transition probability matrix
; Climatology
; Parameter estimation
; Sedimentology
; Stochastic models
; Database systems
; database
; heterogeneity
; image classification
; pixel
; probability
; quantitative analysis
; reservoir characterization
; spatial variation
; stochasticity
; variogram
Scopus学科分类: Energy
; Earth and Planetary Sciences
英文摘要: Quantitative databases storing analog data describing the geometry of sedimentologic features are commonly used to derive input for geostatistical simulations of reservoir sedimentary architecture; however, geometrical information alone is inadequate for the detailed characterization of sedimentary heterogeneity. A relational database storing fluvial architecture data has been developed and populated with literature- and field-derived data from modern rivers and ancient successions. The database scheme characterizes fluvial architecture at three different scales of observation-recording style of internal organization geometries and spatial relationships of genetic units-classifying data sets according to controlling factors (e.g. climate type) and context-descriptive characteristics (e.g. river pattern). The database can therefore be filtered on both architectural features and boundary conditions to yield outputs tailored on the system being modeled to generate input to object- and pixel-based stochastic simulations of reservoir architecture. When modeling heterogeneity with stochastic simulations, the choice of input parameters quantifying spatial variation is problematic because of the paucity of primary data and the partial characterization of supposed analogs. This databasedriven approach permits the definition of various constraints referring to either genetic units (e.g., architectural elements) or material units (i.e., contiguous volumes of sediment characterized by the same value of a given categorical or discretized variable; e.g., same lithofacies type, clay and silt content, and others), which permit the realistic description of fluvial architecture heterogeneity. Applications of this database approach include the computation of relative dimensional parameters and the generation of auto- and cross-variograms and transition-probability matrices, which are necessary to effectively model spatial complexity. Copyright ©2012. The American Association of Petroleum Geologists. All rights reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869426056&doi=10.1306%2f04211211179&partnerID=40&md5=808cc14f9e630bf7436d9a10e384055b
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13292
Appears in Collections: 过去全球变化的重建 科学计划与规划 全球变化的国际研究计划 影响、适应和脆弱性 气候变化与战略 气候减缓与适应 气候变化事实与影响
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Recommended Citation:
Colombera L.,Felletti F.,Mountney N.P.,et al. A database approach for constraining stochastic simulations of the sedimentary heterogeneity of fluvial reservoirs[J]. AAPG Bulletin,2012-01-01,96(11)