中心回线瞬变电磁自适应正则化反演

采用自适应正则化反演,直接对瞬变电磁感应电动势曲线进行反演拟合。相对于传统的求取视电阻率进行定性或半定量的解释方法,利用自适应正则化反演技术可更为准确的获得地电断面的电阻率分布。通过理论模型试算表明自适应正则化反演算法收敛快速、拟合效果好,一般只需迭代5次反演就趋于稳定,迭代10次后目标函数即可达到5×10-2。对某煤矿区的中心回线装置瞬变电磁资料进行反演,和已知资料吻合较好,验证了自适应正则化反演算法可以很好的应用于瞬变电磁资料解释中。

Inversion Display of ARIA Used in In-Loop Transient Electromagnetic Sounding

We take the method of Adaptive Regularized Inversion Algorithm-ARIA fits the Vz curve of TEM directly. Compared to traditional qualitative and semi-quantitative interpretation method of calculating the apparent resistivity, it is more accurate to obtain resistivity distribution of the geoelectric section by making use of ARIA. After conducting theoretical model calculation, the calculation results have shown that ARIA converges faster and fitting effect is good. Generally, 5 times of iteration, inversion results tend to be stable, and 10 times of iteration, the objective function is enough to reach to 5×10_-2. Conducting inversion of transient electromagnetic data of central loop device in a certain coal mining area, the results show good agreement with the data obtained and verify that the ARIA can be well used in interpretation of TEM data.