小线框源TEM拟MT二维反演技术及超前地质预报应用

Pseudo-2D MT inversion technique for small-frame TEM and its application in advance geological prediction

  • 摘要:
    目的 针对瞬变电磁法(transient electromagnetic method,TEM)超前地质预报多维反演计算效率低,难以实用化的瓶颈,提出一种基于时频转换的小线框源TEM拟大地电磁法(magnetotelluric,MT)二维反演技术。
    方法 首先证明小线框源TEM晚期视电阻率与MT卡尼亚视电阻率在超前地质预报常用参数下具有显著相似性;引入最佳时频转换系数(CTF)实现晚期视电阻率向卡尼亚视电阻率的快速转换,转换偏差最大平均值为3.7%,转换偏差整体较小;进而利用MT成熟的反演方法处理转换数据。
    结果 (1) 拟MT一维反演结果中,电阻率相对误差最大为6.14%,深度相对误差最大为5.73%,反演误差整体较小。(2) 拟MT二维反演结果中,含水构造上方测线的反演结果能够确定含水构造的边界位置和真实深度,反演电阻率更接近含水构造的真实电阻率值;含水构造以外测线的反演结果能够反映出低阻含水构造的存在,但各具体反演参数与实际存在一定偏差。
    结论 该方法在普通PC端计算耗时<20 min,提升了计算效率和预报精度,为TEM超前地质预报提供实用化二维反演新途径。

     

    Abstract:
    Objective To address the bottlenecks of low computational efficiency and impracticality of multi-dimensional inversion in the advance geological prediction based on the transient electromagnetic method (TEM), this study developed a pseudo-two-dimensional (2D) magnetotelluric (MT) inversion technique for small-frame TEM based on time-frequency transformation.
    Methods First, this study corroborated the significant similarity between the late-time apparent resistivity derived using small-frame TEM and the Cagniard apparent resistivity in the MT method under the parameters commonly used in advance geological prediction. Then, the optimal time-frequency transformation coefficient (CTF) was introduced to achieve a rapid conversion from the late-time apparent resistivity to the Cagniard apparent resistivity. The maximum average conversion deviation was determined at 3.7%, suggesting generally small deviations. Last, a mature MT inversion method was employed to process the converted data.
    Results In the pseudo-1D MT inversion results, the maximum relative resistivity and depth errors were determined at 6.14% and 5.73%, respectively, suggesting generally small inversion errors. In the pseudo-2D MT inversion results, the inversion results derived from survey lines above the water-bearing structure reflected the boundary locations and actual depth of the water-bearing structure, and the inverted resistivity approximated to the actual resistivity of the water-bearing structure. In contrast, the inversion results obtained using survey lines outside the water-bearing structure can reflect the presence of the low-resistivity water-bearing structure. However, certain deviations were observed between the specific inversion parameters and their actual values.
    Conclusions This method takes less than 20 minutes to calculate on a common PC, which improves the calculation efficiency and prediction accuracy, and provides a new practical 2D inversion approach for TEM advanced geological prediction.

     

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