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Thermal anomalies and paleoclimatic diffusive and advective phenomena: example of the Anglo-Paris Basin,northern France
Authors:Jacques Dentzer  Sophie Violette  Simon Lopez  Dominique Bruel
Institution:1.UMR 8538, Laboratoire de Géologie, Département de Géosciences,Ecole normale supérieure, PSL Research University / CNRS,Paris Cedex 05,France;2.UFR 918, UPMC-Sorbonne Universités,Paris Cedex 05,France;3.Direction des Géoressources, BRGM,Orléans Cedex 2,France;4.Centre de Géosciences,Mines ParisTech, PSL Research University,Fontainebleau,France
Abstract:This study is the first quantification of the combined impact of diffusive and advective paleoclimatic phenomena to explain the weak vertical thermal flux anomaly in the upper part of the Anglo-Paris intracratonic sedimentary basin in northern France. The aim of the research is to understand the mechanisms at the origin of the thermal flux anomaly at the level of the Meso-Cenozoic sediment pile. Based on a temperature profile representative of the basin, transient thermo-hydraulic simulations were performed along a representative vertical cross-section of about 400 km within the Lower Cretaceous multi-layer aquifer. Four paleoclimatic scenarios are the combination of two paleotemperature climatic forcings and two hydrodynamic regimes, one of them taking into account the interruption of the recharge linked to permafrost development. The simulation results clearly show the transient nature of the basin’s thermal regime. Then, for the reference well, the majority of the thermal flux anomaly can be explained by advective and paleoclimatic mechanisms with a decrease in geothermal flux simulated up to a little over 30 mW/m2, depending on the scenarios. Decrease in heat flux because of basin-scale subsurface flows in the Lower Cretaceous is around 15 mW/m2. There are several ways forward from this first simple model, including simulation of development of permafrost and also the integration of vertical flows in the basin by use of a three-dimensional model to better explain the data.
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