Gravity magnetic potential field source position estimation method and system, medium and electronic equipment

Abstract

The invention provides a gravity magnetic potential field source position estimation method and system, a medium and electronic equipment, and the method comprises the steps: obtaining gravity magnetic abnormal data of a gravity magnetic potential field, and obtaining gradient data in three directions according to the gravity magnetic abnormal data; in any window node, establishing an Euler equation according to the gravity magnetic abnormal data, the gradient data and a preset construction index parameter to obtain an inversion result, and calculating a characteristic value of the window; obtaining a plurality of inversion results and corresponding window characteristic values by sliding the window; sorting the window feature values from large to small, and selecting a preset proportion of solution sets corresponding to the previous window feature values as screened inversion results according to the total number of inversion results; obtaining an estimated value of the field source position data according to the screened inversion result. The method is advantaged in that human influence is reduced, the screening process is simplified, screening result quality and quantity reliability are guaranteed, inversion result reliability and Euler deconvolution method practical application capability are improved, and field source position prediction accuracy is improved.

Description

technical field [0001] The present disclosure relates to the technical field of gravity-magnetic potential field inversion, and in particular to a method, system, medium and electronic equipment for estimating the position of a gravity-magnetic potential field source. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Euler deconvolution is a potential field inversion method that can quickly determine the position information of the field source. It can automatically or semi-automatically delineate the position and range of the field source under the condition of less prior information, and is not affected by the magnetization direction. The influence does not depend on the field source density parameters, but is only related to the geometric parameters of the source position and shape, which can simplify the inversion problem and have obvi...

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Problems solved by technology

For example, using the distribution density of inversion results for screening, such as fuzzy clustering, hierarchical clustering, etc., density-based clustering methods not only require repeated iterative operations, but also have certain difficulties in obtaining clustering conclusions when the sample size is large

[0006] The inventors of the present disclosure have found that the above methods rely too much on manual intervention, and the setting of the threshold will seriously affect the quality of result screening. If the threshold is set too strictly, accurate solutions may be deleted, or the number of solutions will be very small , the reliability is reduced; the threshold setting is too loose, the result may contain false solutions, and the reliability is reduced; and for abnormal data of different targets or scales, the distribution and quantity of the inversion results will be different, and the threshold needs to be manually readjusted to Adapt to the impact of different anomalies, and usually need to be selected based on the results of multiple experiments, which makes the screening process less adaptable and the screening results are greatly affected by human beings, which reduces the reliability of the inversion results, thereby reducing the reliability of position prediction. accuracy

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