Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

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

An extreme point, fully automatic technology, applied in the field of geophysical exploration, to achieve the effect of improving efficiency and accuracy, wide application prospects, and stable and reliable calculation results

Active Publication Date: 2022-06-17
中国地质科学院地球物理地球化学勘查研究所
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for fully automatic extreme point depth estimation of potential field in undulating terrain
  • A method for fully automatic extreme point depth estimation of potential field in undulating terrain
  • A method for fully automatic extreme point depth estimation of potential field in undulating terrain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The present invention is described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0062] The invention proposes a fully automatic extreme point depth estimation method of potential field under undulating terrain. figure 1 It is a flow chart of a fully automatic extreme point depth estimation method of potential field under undulating terrain of the present invention, which specifically includes the following steps:

[0063] Step 1: Input the elevation data, gravity observation value and observation point distance of the observation surface to generate the elevation grid file and gravity grid file of the observation surface.

[0064] Step 2, using the frequency domain rate pseudo-observation surface method to construct a three-dimensional half-space field of gravity, which specifically includes the following steps:

[0065] Step 2.1, according to the elevation grid file and gravity grid file of the observation surface, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G01V9/00
CPCG06F30/20G01V9/00
Inventor 徐梦龙孙诚业杨亚斌陈亮荆磊
Owner 中国地质科学院地球物理地球化学勘查研究所
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products