globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-4997-2020
论文题名:
3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse
作者: Dall'Alba V.; Renard P.; Straubhaar J.; Issautier B.; Duvail C.; Caballero Y.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:10
起始页码: 4997
结束页码: 5013
语种: 英语
Scopus关键词: Aquifers ; Boreholes ; Hydrogeology ; Sedimentology ; Topography ; Continuous rotation ; Diffusivity equation ; Geological structures ; Geostatistical approach ; Multiple-point statistics ; Sedimentary environment ; Spatial arrangements ; Statistical inference ; 3D modeling ; aquifer characterization ; borehole geophysics ; bypass ; facies analysis ; image analysis ; numerical model ; Pliocene ; probability ; stacking ; three-dimensional modeling ; France ; Occitanie ; Perpignan ; Pyrenees Orientales ; Roussillon
英文摘要: This study introduces a novel workflow to model the heterogeneity of complex aquifers using the multiple-point statistics algorithm DeeSse. We illustrate the approach by modeling the Continental Pliocene layer of the Roussillon aquifer in the region of Perpignan (southern France). When few direct observations are available, statistical inference from field data is difficult if not impossible and traditional geostatistical approaches cannot be applied directly. By contrast, multiple-point statistics simulations can rely on one or several alternative conceptual geological models provided using training images (TIs). But since the spatial arrangement of geological structures is often non-stationary and complex, there is a need for methods that allow to describe and account for the non-stationarity in a simple but efficient manner. The main aim of this paper is therefore to propose a workflow, based on the direct sampling algorithm DeeSse, for these situations. The conceptual model is provided by the geologist as a 2D non-stationary training image in map view displaying the possible organization of the geological structures and their spatial evolution. To control the non-stationarity, a 3D trend map is obtained by solving numerically the diffusivity equation as a proxy to describe the spatial evolution of the sedimentary patterns, from the sources of the sediments to the outlet of the system. A 3D continuous rotation map is estimated from inferred paleo-orientations of the fluvial system. Both trend and orientation maps are derived from geological insights gathered from outcrops and general knowledge of processes occurring in these types of sedimentary environments. Finally, the 3D model is obtained by stacking 2D simulations following the paleo-topography of the aquifer. The vertical facies transition between successive 2D simulations is controlled partly by the borehole data used for conditioning and by a sampling strategy. This strategy accounts for vertical probability of transitions, which are derived from the borehole observations, and works by simulating a set of conditional data points from one layer to the next. This process allows us to bypass the creation of a 3D training image, which may be cumbersome, while honoring the observed vertical continuity. © 2020 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162569
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作者单位: Dall'Alba, V., Center of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Rue Emile-Argand 11, Neuchâtel, 2000, Switzerland; Renard, P., Center of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Rue Emile-Argand 11, Neuchâtel, 2000, Switzerland; Straubhaar, J., Center of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Rue Emile-Argand 11, Neuchâtel, 2000, Switzerland; Issautier, B., BRGM, Georessource Division, Sedimentary Basin Team, Orleáns, France; Duvail, C., Fugro France SAS, Castries, France; Caballero, Y., BRGM, Univ. Montpellier, Montpellier, France

Recommended Citation:
Dall'Alba V.,Renard P.,Straubhaar J.,et al. 3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse[J]. Hydrology and Earth System Sciences,2020-01-01,24(10)
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