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Piece wise 1D laterally constrained inversion of resistivity data

机译:电阻率数据的分段1D横向约束反演

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摘要

In a sedimentary environment, layered models are often capable of representing the actual geology more accurately than smooth minimum structure models. Furthermore, interval thicknesses and resistivities are often the parameters to which non-geophysicist experts can relate and base decisions on when using them in waste site remediation, groundwater modelling and physicalplanning. We present a laterally constrained inversion scheme for continuous resistivity data based on a layered earth model (1D). All 1D data sets and models are inverted as one system, producing layered sections with lateral smooth transitions. The models are regularized through laterally equal constraints that tie interface depths and resistivities of adjacent layers. Prior information, e.g. originating from electric logs, migrates through the lateral constraints to the adjacent models, making resolution of equivalences possible to some extent. Information from areas with well-resolved parameters will migrate through the constraints in a similar way to help resolve the poorly constrained parameters. The estimated model is complemented by a full sensitivity analysis of the model parameters, supporting quantitative evaluation of the inversion result. Examples from synthetic 2D models show that the model recognition of a sublay-ered 2D wedge model is improved using the laterally constrained inversion approach when compared with a section of combined 1D models and when compared with a 2D minimum structure inversion. Case histories with data from two different continuous DC systems support the conclusions drawn from the synthetic example.
机译:在沉积环境中,分层模型通常比平滑的最小结构模型能够更准确地表示实际地质情况。此外,层间厚度和电阻率通常是非地球物理学家可以与之联系的参数,并在废物现场修复,地下水建模和物理规划中使用这些参数时要做出决策。我们提出了基于分层地球模型(1D)的连续电阻率数据的横向约束反演方案。将所有一维数据集和模型都转换为一个系统,从而生成具有横向平滑过渡的分层部分。通过横向相等的约束对模型进行正则化,约束将界面深度和相邻层的电阻率联系起来。事先信息,例如来自电测井的数据,通过侧向约束条件迁移到相邻模型,从而在某种程度上可以实现对等物的解析。来自具有良好解析参数的区域的信息将以类似的方式通过约束迁移,以帮助解析约束较弱的参数。通过对模型参数的全面敏感性分析来补充估计的模型,从而支持对反演结果进行定量评估。合成2D模型的示例表明,当与组合1D模型的一部分进行比较以及与2D最小结构反演相比时,使用横向约束反演方法可以改善子层2D楔形模型的模型识别。具有来自两个不同连续DC系统的数据的案例历史记录支持从综合示例得出的结论。

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