A method for fully automatic extreme point depth estimation of potential field in undulating terrain

Abstract

The invention discloses a method for fully automatic extreme value point depth estimation of a potential field under undulating terrain. The invention generates the grid file of elevation and gravity by inputting the elevation data of the observation surface, the gravity observation value and the observation point distance, utilizes the frequency domain rate pseudo-observation surface method to construct the gravity three-dimensional half-space field, and according to the depth of each half-space field The vertical derivative of the point gravity value is used to calculate the ratio of derivatives of different orders at each depth point. Combined with the constant addition method, the gravity three-dimensional half-space field is inverted to obtain the extreme value calculation value at each point in the half-space field, and determine the half-space field. The extreme point set of the space field, normalize the extreme points in the extreme point set, use the normalized extreme point integrated image to form a map, and analyze the extreme depth point of the gravity three-dimensional half-space field, output Normalized extrema at points within the plot and half-space field. The invention does not require prior information, realizes automatic inversion, can directly calculate gravity data under undulating terrain observation, improves inversion efficiency and precision, and has wide application prospects.

Description

technical field [0001] The invention belongs to the field of geophysical exploration, and in particular relates to a fully automatic extreme point depth estimation method of potential field under undulating terrain. Background technique [0002] As a method that can effectively invert the field source parameters, the field source fast imaging method has the advantages of simple algorithm and stable calculation, and does not require too much prior information and iterative calculation in the inversion process, which can provide a basis for establishing a priori model. Effective information, the field source express imaging method includes correlation imaging method (generalized imaging method), migration imaging method, extreme point depth estimation method (DEXP method) and wavelet continuous transform method. [0003] Depth estimation method of extreme point (DEXP method) is a fast inversion method of three-dimensional potential field proposed by Fedi et al. It uses extreme...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above-mentioned technical problems in the prior art, the present invention proposes a fully automatic extreme point depth estimation method for potential field under undulating terrain, which solves the problems of singular points and trapezoidal lines in the solution process of conventional extreme point depth estimation methods. problem, improving the accuracy of extreme point depth estimation under undulating terrain conditions

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