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Feedbacks of sedimentation on crustal heat flow: New insights from the V?ring Basin, Norwegian Sea

机译:沉积物对地壳热流的反馈:挪威海弗林盆地的新见解

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Basement heat flow is one of the key unknowns in sedimentary basin analysis. Its quantification is challenging not in the least due to the various feedback mechanisms between the basin and lithosphere processes. This study explores two main feedbacks, sediment blanketing and thinning of sediments during lithospheric stretching, in a series of synthetic models and a reconstruction case study from the Norwegian Sea. Three types of basin models are used: (1) a newly developed one-dimensional (1D) forward model, (2) a decompaction/backstripping approach and (3) the commercial basin modelling software TECMOD2D for automated forward basin reconstructions. The blanketing effect of sedimentation is reviewed and systematically studied in a suite of 1D model runs. We find that even for moderate sedimentation rates (0.5 mm year~(-1)), basement heat flow is depressed by ~25% with respect to the case without sedimentation; for high sedimentation rates (1.5 mm year~(-1)), basement heat flow is depressed by ~50%. We have further compared different methods for computing sedimentation rates from the presently observed stratigraphy. Here, we find that decompaction/backstripping-based methods may systematically underestimate sedimentation rates and total subsidence. The reason for this is that sediments are thinned during lithosphere extension in forward basin models while there are not in backstripping/decompaction approaches. The importance of sediment blanketing and differences in modelling approaches is illustrated in a reconstruction case study from the Norwegian Sea. The thermal and structural evolution of a transect across the V?ring Basin has been reconstructed using the backstripping/decompaction approach and TECMOD2D. Computed total subsidence curves differ by up to ~3 km and differences in computed basement heat flows reach up to 50%. These findings show that strong feedbacks exist between basin and lithosphere processes and that resolving them require integrated lithosphere-scale basin models.
机译:地下热流是沉积盆地分析中的关键未知数之一。至少由于盆地和岩石圈过程之间的各种反馈机制,其量化具有挑战性。这项研究探索了两个主要反馈,即岩石圈伸展过程中的沉积物覆盖和沉积物变薄,一系列综合模型和来自挪威海的重建案例研究。使用了三种类型的盆地模型:(1)新开发的一维(1D)前向模型;(2)分解/反剥落方法;(3)用于自动前盆地重建的商业盆地建模软件TECMOD2D。在一套一维模型运行中,对沉积的覆盖作用进行了回顾和系统地研究。我们发现,即使沉降速率适中(0.5 mm年〜(-1)),相对于没有沉降的情况,地下热流也降低了约25%。对于高沉积速率(1.5 mm年〜(-1)),地下热流降低了约50%。我们进一步比较了从目前观察到的地层中计算沉降速率的不同方法。在这里,我们发现基于分解/反抽提的方法可能会系统地低估沉积速率和总沉降。原因是前盆地模型在岩石圈扩展过程中沉积物变稀,而反剥离/解压方法则没有。挪威海的重建案例研究说明了沉积物覆盖的重要性和建模方法的差异。使用反剥线/解压缩方法和TECMOD2D重建了跨越Vring盆地的样带的热和结构演化。计算出的总沉降曲线相差约3 km,计算出的地下室热流的差异高达50%。这些发现表明,盆地与岩石圈过程之间存在强烈的反馈,解决这些问题需要集成岩石圈规模的盆地模型。

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