地质不确定性与地球物理反演

M. Jessell, L. Aillères, E. Kemp, M. Lindsay, F. Wellmann, M. Hillier, G. Laurent, T. Charmichael, Roland Martin
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引用次数: 1

摘要

现有的三维地质系统可以很好地适应高数据密度环境,例如在矿山规模存在大量钻芯的情况下,或者在三维地震提供地层约束的盆地中,但对区域地质问题的适应能力较差。在3D工作流程中有三个需要改进的领域:处理不确定性;在模型构建算法本身;在地球物理反演界面。所有的3D模型都是受限的,在区域尺度上,这对于选择建模策略尤其重要。只产生单一模型的做法忽略了模型构建过程中存在的巨大的不确定性,并且在向最终用户提供有关应用模型来解决地质问题所涉及的潜在风险的有意义的信息方面存在困难。未来的研究需要认识到这一点,并将重点放在模型不确定性的表征上,从空间和地质特征的角度出发,并产生可信的模型套件,而不是有效性未知的单一模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geological uncertainty and geophysical inversion
Existing 3D geological systems are well adapted to high data-density environments, such as at the mine scale where abundant drill core exists, or in basins where 3D seismic provides stratigraphic constraints, but are poorly adapted to regional geological problems. There are three areas where improvements in the 3D workflow need to be made: in the handling of uncertainty; in the model building algorithms themselves; and in the interface with geophysical inversion. All 3D models are under-constrained, and at the regional scale this is especially critical for choosing modelling strategies. The practice of only producing a single model ignores the huge uncertainties that underlie model-building processes, and underpins the difficulty in providing meaningful information to end-users about the inh erent risk involved in applying the model to solve geological problems. Future studies need to recognize this and focus on the characterization of model uncertainty, spatially and in terms of geological features, and produce plausible model suites, rather than single models with unknown validity.
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