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The TEM Inversion Study of Combining Genetic Algorithm and Damped Least Square Method

机译:遗传算法与阻尼最小二乘相结合的TEM反演研究

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摘要

In the inversion of transient electromagnetic data,a reasonable initial model is necessary,but offering a rational initial model is always difficult.Even the model can be acquired,the parameter maybe not enough,which is only suitable for the simple layered earth.But when dealing with an actual profile,it is not reasonable to match the result of each point together.In order to put up with the defect,in this paper,we offer a solution which calculates the all-time apparent resistivity that describe the resistivity variation along the depth firstly,and then get the model which the every thickness is reasonable with the genetic algorithm,at last,combining the Damped Least Square Method to gain the ultimate inversion model.The four types models inversion result show that this algorithm can confmn the resistivity and thickness well and have some significance to the actual data processing.
机译:在瞬变电磁数据反演中,需要一个合理的初始模型,但要提供一个合理的初始模型却总是很困难。即使可以获取模型,参数也可能不够,仅适用于简单的分层地球。为了处理缺陷,将每个点的结果匹配在一起是不合理的。为了弥补这一缺陷,本文提供了一种解决方案,该解决方案可以计算出总的视在电阻率,并描述沿电阻率的变化。首先通过深度计算,然后用遗传算法得到各厚度都合理的模型,最后结合阻尼最小二乘法得到最终的反演模型。四种模型反演结果表明,该算法可以弥补电阻率的不足。厚度和厚度对实际数据处理有一定意义。

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