A database solution for the quantitative characterisation and comparison of deep-marine siliciclastic depositional systems
A database solution for the quantitative characterisation and comparison of deep-marine siliciclastic depositional systems
复制标题
用于深海硅质碎屑沉积系统定量表征和比较的数据库解决方案
DOI：
10.1016/j.marpetgeo.2018.12.023
复制
发表时间：
2019
影响因子：
4.2
通讯作者：
Cullis S
中科院分区：
文献类型：
--
作者：
Cullis S
深海沉积学研究的比较分析因数据收集方法、观测规模、分辨率、分类方法和术语的广泛差异而受到阻碍。已开发了一个关系数据库-深海结构知识库（DMAKS），以便通过按照共同标准整理的深海沉积学数据的整合，促进这种分析。DMAKS拥有关于硅质岩深海系统边界条件的数据，以及关于结构和相特性的数据，包括多尺度单元之间的空间、时间和层次关系。DMAKS数据库的设计是为了包括现代海底研究的原始数据和文献数据，以及在地下和露头研究的古代层序的数据，该数据库可用作纯科学和应用科学的研究工具，使人们能够定量地描述深海系统的特征。从几个案例研究中综合数据，并对描述沉积体系及其控制因素的多个参数的输出进行过滤的能力，能够评估某些控制因素影响沉积结构的程度，从而测试现有模型的有效性。在实际应用中，DMAKS有助于油气藏地质类比的选择和应用，并允许开发解释地质不确定性的储层特征预测模型。为了展示研究应用的广度，提供了以下方面的示例输出：（i）河道几何形状的表征，（ii）河道化和终端沉积物的分级组织，（iii）终端叶沉积的时间趋势，（iv）相邻河道和堤坝结构要素之间的比例关系，（v）不同类型要素可能出现的数量，作为与已知类型要素的横向距离的函数，（vi）元素和层中相的比例和过渡统计，（vii）元素类型之间净毛比的变化。
Comparative analyses of deep-marine sedimentological studies are hindered by the wide variety in methods of data collection, scales of observation, resolution, classification approaches and terminology. A relational database, the Deep-Marine Architecture Knowledge Store (DMAKS), has been developed to facilitate such analyses, through the integration of deep-marine sedimentological data collated to a common standard. DMAKS hosts data on siliciclastic deep-marine system boundary conditions, and on architectural and facies properties, including spatial, temporal and hierarchical relationships between units at multiple scales. DMAKS has been devised to include original and literature-derived data from studies of the modern sea-floor, and from ancient successions studied in the subsurface and in outcrop.The database can be used as a research tool in both pure and applied science, allowing the quantitative characterisation of deep-marine systems. The ability to synthesise data from several case studies and to filter outputs on multiple parameters that describe the depositional systems and their controlling factors enables evaluation of the degree to which certain controls affect sedimentary architectures, thereby testing the validity of existing models. In applied contexts, DMAKS aids the selection and application of geological analogues to hydrocarbon reservoirs, and permits the development of predictive models of reservoir characteristics that account for geological uncertainty.To demonstrate the breadth of research applications, example outputs are presented on: (i) the characterisation of channel geometries, (ii) the hierarchical organisation of channelised and terminal deposits, (iii) temporal trends in the deposition of terminal lobes, (iv) scaling relationships between adjacent channel and levee architectural elements, (v) quantification of the likely occurrence of elements of different types as a function of the lateral distance away from an element of known type, (vi) proportions and transition statistics of facies in elements and beds, (vii) variability in net-to-gross ratios among element types.
登录
查看更多内容
影响因子：
2.7
作者：
A. Prélat;D. Hodgson
通讯作者：
A. Prélat;D. Hodgson
DOI：
10.1080/10420940.2012.734763
发表时间：
2013-02
期刊：
Ichnos
影响因子：
--
作者：
R. Callow;D. McIlroy;B. Kneller;M. Dykstra
通讯作者：
R. Callow;D. McIlroy;B. Kneller;M. Dykstra
影响因子：
4.2
作者：
I. Kane;B. Kneller;M. Dykstra;A. Kassem;W. McCaffrey
通讯作者：
I. Kane;B. Kneller;M. Dykstra;A. Kassem;W. McCaffrey
影响因子：
3.9
作者：
S. Miller;D. Macdonald
通讯作者：
S. Miller;D. Macdonald
细粒度海底扇系统的地层演化，南非卡鲁盆地 Tanqua Depocenter
影响因子：
2
作者：
D. Hodgson;S. Flint;D. Hodgetts;N. Drinkwater;E. Johannessen;S. Luthi
通讯作者：
S. Luthi