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Lithosphere Tectonics and Thermo-Mechanical Properties: An Integrated Modeling Approach for Enhanced Geothermal Systems Exploration in Europe

机译:岩石圈构造与热机械性能:欧洲增强地热系统勘探的综合建模方法

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摘要

For geothermal exploration and the development of enhanced geothermal systems (EGS) knowlegde of temperature at drillable depth is a prerequisite for site selection. Equally important is the thermo-mechanical signature of the lithosphere and crust which allow to obtain critical constraints for the crustal stress field and basement temperatures where borehole observations are rare. The stress and temperature field in Europe is subject to strong spatial variations which can be linked to polyphase extensional and compressional reactivation of the lithosphere, in different modes of deformation. In this paper we review key thermo-mechanical processes which influence the thermal state and the stress conditions in Europe. The development of innovative combinations of numerical and analogue modeling techniques is a key to thoroughly understand the spatial and temporal variations in crustal stress and temperature. For selected tectonic settings, marked by a specific deformation style, we discuss the relationship between key-factors in tectonic evolution and geothermal prospectivity. This relationship allows to approach in a rational fashion continent-scale exploration for geothermal resources and building hypothesis for thermal and mechanical characterization at depth. Further, through using deep subsurface lithosphere scale data and processes, the approach delivers valuable exploration constraints on the thermo-mechanical signature at deep depth levels and regions where near surface data is not reliable.
机译:对于地热勘探和增强地热系统(EGS)的发展在钻井深度下的温度知识是场地选择的先决条件。同样重要的是岩石圈和地壳的热机械签名,其允许获得地壳应力场和地下室温度的临界约束,其中钻孔观察是罕见的。欧洲的压力和温度场受到强烈的空间变化,其可以与岩石圈的多相延伸和压缩再激活相连,以不同的变形方式。在本文中,我们审查了影响热状态和欧洲应力条件的关键热机械过程。数字和模拟建模技术的创新组合的发展是彻底理解地壳应力和温度的空间和时间变化的关键。对于所选择的构造设置,标志着特定的变形样式,我们讨论了构造演化与地热性能的关键因素与地热性能之间的关系。这种关系允许对地热资源的理性时尚大陆勘探,建立深度热和机械表征的建筑假设。此外,通过使用深度地下岩石过山性尺度数据和过程,该方法在深度深度水平和近地表数据不可靠的区域提供了有价值的探索限制。

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