globalchange  > 气候变化与战略
DOI: 10.5194/hess-22-5485-2018
论文题名:
Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics
作者: Barfod A.A.S.; Vilhelmsen T.N.; Jørgensen F.; Christiansen A.V.; Hyer A.-S.; Straubhaar J.; Møller I.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期:10
起始页码: 5485
结束页码: 5508
语种: 英语
Scopus关键词: Boreholes ; Geologic models ; Geophysics ; Groundwater ; Lithology ; Stochastic systems ; Uncertainty analysis ; Well logging ; Geological heterogeneities ; Geological modeling ; Geological setting ; Multiple-point statistics ; Similarity analysis ; Structural information ; Subsurface geology ; Transient electromagnetics ; Structural geology ; borehole ; conceptual framework ; data set ; forecasting method ; groundwater flow ; hydrostatics ; lithology ; parameterization ; quantitative analysis ; sensitivity analysis ; stochasticity ; uncertainty analysis ; Denmark
英文摘要: Forecasting the flow of groundwater requires a hydrostratigraphic model, which describes the architecture of the subsurface. State-of-the-art multiple-point statistical (MPS) tools are readily available for creating models depicting subsurface geology. We present a study of the impact of key parameters related to stochastic MPS simulation of a real-world hydrogeophysical dataset from Kasted, Denmark, using the snesim algorithm. The goal is to study how changes to the underlying datasets propagate into the hydrostratigraphic realizations when using MPS for stochastic modeling. This study focuses on the sensitivity of the MPS realizations to the geophysical soft data, borehole lithology logs, and the training image (TI). The modeling approach used in this paper utilizes a cognitive geological model as a TI to simulate ensemble hydrostratigraphic models. The target model contains three overall hydrostratigraphic categories, and the MPS realizations are compared visually as well as quantitatively using mathematical measures of similarity. The quantitative similarity analysis is carried out exhaustively, and realizations are compared with each other as well as with the cognitive geological model. The results underline the importance of geophysical data for constraining MPS simulations. Relying only on borehole data and the conceptual geology, or TI, results in a significant increase in realization uncertainty. The airborne transient electromagnetic SkyTEM data used in this study cover a large portion of the Kasted model area and are essential to the hydrostratigraphic architecture. On the other hand, the borehole lithology logs are sparser, and 410 boreholes were present in this study. The borehole lithology logs infer local changes in the immediate vicinity of the boreholes, thus, in areas with a high degree of geological heterogeneity, boreholes only provide limited large-scale structural information. Lithological information is, however, important for the interpretation of the geophysical responses. The importance of the TI was also studied. An example was presented where an alternative geological model from a neighboring area was used to simulate hydrostratigraphic models. It was shown that as long as the geological settings are similar in nature, the realizations, although different, still reflect the hydrostratigraphic architecture. If a TI containing a biased geological conceptualization is used, the resulting realizations will resemble the TI and contain less structure in particular areas, where the soft data show almost even probability to two or all three of the hydrostratigraphic units. © Author(s) 2018.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163161
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作者单位: Barfod, A.A.S., Department of Groundwater and Quaternary Geological Mapping, Geological Survey of Denmark and Greenland, C.F. Møllers Allé 8, Aarhus, 8000, Denmark, Hydrogeophysics Group, Department of Geoscience, Aarhus University, C.F. Møllers Allé 4, Aarhus, 8000, Denmark; Vilhelmsen, T.N., Hydrogeophysics Group, Department of Geoscience, Aarhus University, C.F. Møllers Allé 4, Aarhus, 8000, Denmark; Jørgensen, F., Department of Groundwater and Quaternary Geological Mapping, Geological Survey of Denmark and Greenland, C.F. Møllers Allé 8, Aarhus, 8000, Denmark; Christiansen, A.V., Hydrogeophysics Group, Department of Geoscience, Aarhus University, C.F. Møllers Allé 4, Aarhus, 8000, Denmark; Hyer, A.-S., Department of Groundwater and Quaternary Geological Mapping, Geological Survey of Denmark and Greenland, C.F. Møllers Allé 8, Aarhus, 8000, Denmark; Straubhaar, J., Centre d'Hydrogéologie et de Géothermie, Université de Neuchâtel, Neuchâtel, Switzerland; Møller, I., Department of Groundwater and Quaternary Geological Mapping, Geological Survey of Denmark and Greenland, C.F. Møllers Allé 8, Aarhus, 8000, Denmark

Recommended Citation:
Barfod A.A.S.,Vilhelmsen T.N.,Jørgensen F.,et al. Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics[J]. Hydrology and Earth System Sciences,2018-01-01,22(10)
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