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Controlled source audio frequency magnetotelluric one-dimensional inversion method based on improved genetic algorithm

An audio magnetotelluric, improved genetic algorithm technology, applied in the direction of genetic law, calculation, electrical digital data processing, etc., can solve the problems of immature convergence, avoid sharp rise or fall, ensure convergence, strong robustness. Effect

Inactive Publication Date: 2018-10-16
JILIN UNIV
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Problems solved by technology

However, there are problems such as premature convergence

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  • Controlled source audio frequency magnetotelluric one-dimensional inversion method based on improved genetic algorithm
  • Controlled source audio frequency magnetotelluric one-dimensional inversion method based on improved genetic algorithm
  • Controlled source audio frequency magnetotelluric one-dimensional inversion method based on improved genetic algorithm

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Embodiment Construction

[0040] In order to make the purpose of the present invention and technical scheme clearer, with reference to accompanying drawing and embodiment the present invention is described in further detail:

[0041] The present invention relates to the field of controllable source audio frequency magnetotelluric method, and its working method is as follows: figure 1 As shown, a certain regular current signal is emitted by the transmitting device, and the electric field and magnetic field signals are collected by the receiving device for processing, and the amplitude and phase of the corresponding frequency points are respectively obtained.

[0042] The present invention improves on the basis of the standard genetic algorithm, and applies it to CSAMT one-dimensional inversion, and its flow is as follows image 3shown. The whole process includes: determine the coding rules, form the initialization population; perform forward calculation to obtain the apparent resistivity and apparent p...

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Abstract

The invention provides a controlled source audio-frequency magnetotellurics one-dimensional inversion method using an improved genetic algorithm. By applying the genetic algorithm to CSAMT one-dimensional data inversion, a target function based on the combination of frequency weighting and phase weighting is proposed, a selection operator based on the combination of fitness value ranking selection and the simulated annealing method is proposed, segmented crossover probability upper and lower limits are proposed, and a crossover operator based on the combination of the self-adaptive crossover probability based on fitness values and a mutation operator based on the combination of fitness and gene weighting are proposed; by using the probability-based optimal individual preservation strategy, the individual with the smallest fitness value is replaced by the individual with the largest fitness value with a certain probability. Compared with the conventional CSAMT data inversion method, the method prevents inversion failure caused by the emergence of ill-conditioned matrixes, can avoid the problems of prematurity and the condition of being liable to be caught in a local extremum in the standard genetic algorithm, and enables chromosomes to move in the optimal solution direction rapidly to find the optimal solution.

Description

technical field [0001] The invention relates to a controllable source audio frequency magnetotelluric detection method, in particular to a controllable source audio frequency magnetotelluric one-dimensional inversion method with an improved genetic algorithm. Background technique [0002] Controlled source audio frequency magnetotelluric method (CSAMT) is a new geophysical technology developed in the 1980s, which has a controllable artificial source and strong anti-interference ability. This method has been applied in water resources prospecting, metal mine prospecting, geological survey and other fields. Inversion is an important means of CSAMT data processing, and its effect determines the accuracy of the final interpretation results. Traditional inversion methods include Bostick inversion, OCCAM inversion, least squares inversion, fast relaxation inversion, nonlinear conjugate gradient inversion, etc. They belong to linear or local linear methods. These methods depend on...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G16Z99/00
Inventor 孙彩堂李玲刘真黄维宁韩思雨周逢道
Owner JILIN UNIV
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