李学兰, 董艳辉, 李帝铨. 2016: 基于地下水数值模拟的地球物理反演解释优化方法研究. 工程地质学报, 24(6): 1333-1343. DOI: 10.13544/j.cnki.jeg.2016.06.037
    引用本文: 李学兰, 董艳辉, 李帝铨. 2016: 基于地下水数值模拟的地球物理反演解释优化方法研究. 工程地质学报, 24(6): 1333-1343. DOI: 10.13544/j.cnki.jeg.2016.06.037
    LI Xuelan, DONG Yanhui, LI Diquan. 2016: AN OPTIMIZATION METHOD FOR INTERPRETING ERT DATA BASED ON GROUNDWATER NUMERICAL MODELING. JOURNAL OF ENGINEERING GEOLOGY, 24(6): 1333-1343. DOI: 10.13544/j.cnki.jeg.2016.06.037
    Citation: LI Xuelan, DONG Yanhui, LI Diquan. 2016: AN OPTIMIZATION METHOD FOR INTERPRETING ERT DATA BASED ON GROUNDWATER NUMERICAL MODELING. JOURNAL OF ENGINEERING GEOLOGY, 24(6): 1333-1343. DOI: 10.13544/j.cnki.jeg.2016.06.037

    基于地下水数值模拟的地球物理反演解释优化方法研究

    AN OPTIMIZATION METHOD FOR INTERPRETING ERT DATA BASED ON GROUNDWATER NUMERICAL MODELING

    • 摘要: 地球物理的多解性无处不在,面对这种情况我们往往结合地质资料来对反演结果进行合理的地质解释。然而在偏远地区地质、深部钻探资料非常缺乏,野外已有的井孔也往往难以获取岩性编录资料。当这些资料比较少时,反演结果依然存在难以解释或者不确定等问题。是否可以借助于地下水位与水质信息包含的地质体水力特性,来辅助地球物理反演过程?基于此思路探索了基于地下水模型的地球物理反演解释优化方法:以大地电磁法为实现手段,通过研究已知理想地质模型和多个基于反演结果解释得到的地质模型,建立地下水数值模型,对比地下水水流和溶质运移数值模拟结果,最终确定相对最佳地质模型。并通过敏感性分析验证了运用地下水数值模拟搜索相对最佳地质模型的可行性。

       

      Abstract: Geophysical non-uniqueness are everywhere. Faced with this situation we usually tend to combine geological data to calibrate the interpretation results. However, the information on geology and deep drilling are deficiency in remote areas, and field existing wells are often difficult to obtain information on lithology catalog, which will cause that the inversion results are difficult to interpret. Whether hydraulic characteristics of the water level and water quality information contained in the geological body can be used to assist the geophysical inversion? Based on this idea, a method for interpreting ERT data based on groundwater numerical modeling is provided in this article. In this article, Magneto-telluric method is a way to accomplish numerical simulation of geophysical forward and inversion. Firstly, by studying the known geological model and multiple geological models interpreted from ERT data, a set of groundwater numerical models can be set up. Then numerical simulation of groundwater flow and solute transport were conducted. Lastly, the optimal geological model can be obtained by comparing the result of numerical simulation of groundwater. Sensitivity analysis were also conducted to verify the method.

       

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