WO2015156501A1

WO2015156501A1 - Apparatus and method for determining optimum continuous distance in continuous upward process for stripping

Info

Publication number: WO2015156501A1
Application number: PCT/KR2015/001926
Authority: WO
Inventors: 박영수; 임형래; 임무택; 정현기; 신영홍
Original assignee: 한국지질자원연구원
Priority date: 2014-04-10
Filing date: 2015-02-27
Publication date: 2015-10-15
Also published as: KR101415309B1

Abstract

The present invention relates to stripping for separating an abnormality from overlapping detected information and, particularly, to an apparatus and method for determining the optimum continuous distance in a continuous upward process for stripping, which repeatedly apply a continuation, in order to determine the optimum continuous upward distance, so as to derive a spectral similarity curve and determine the maximum value of the spectral similarity curve as the optimum distance. To this end, the present invention comprises the steps of: (A) estimating, by a calculation unit, an abnormal structure of a core part so as to calculate a magnetic field and a relative amplitude spectrum;(B) computing, by a computing unit, a spectral similarity by using the magnetic field and the relative amplitude spectrum calculated in step (A); and (C) deriving a spectral similarity curve on the basis of the spectral similarity computed in step (B), and selecting the maximum value of the spectral similarity curve as the optimum distance.

Description

Apparatus and Method for Determining Optimum Continuous Distance of the Continuous Method Up for Stripping

The present invention relates to stripping that separates the abnormalities of the core from the exploration information superimposed on the noise effect of the core and the abnormalities of the core. Particularly, the spectral similarity curve is derived by repeatedly applying the sequence to determine the optimal distance from the core. The present invention relates to an apparatus and method for determining an optimum continuous distance of the continuous method for stripping, which determines a continuous distance showing a maximum similarity value in the spectral similarity curve as an optimal continuous distance.

In recent years, complex exploration of various techniques has been carried out in order to obtain more information from research areas. This is because the combined exploration technology can minimize the risk of interpretation uncertainty due to a single exploration and increase the reliability of the final decision based on the exploration result. For this reason, active studies on complex analysis have been conducted to complement each other and improve the reliability of analysis results using heterogeneous physical exploration data.

However, existing interpretations of complex exploration remain at the level of qualitatively gathering the results after analyzing individual exploration data, which does not effectively use the advantages of complex exploration. This is because each physical exploration technique has different physical characteristics and resolutions, and it is known that it is difficult to apply it as a single data processing technique numerically.

The patent document described in the following prior art document is Republic of Korea Patent No. 10-1157792, two or more property models Ddata (L, M, N) and Rdata (L on the same three-dimensional grid (L x M x N) A joint coordinate property value estimating step of calculating M, N), respectively; A normalization step of normalizing property models obtained through the joint coordinate property value estimating step to obtain normalized property models of NDdata (l, m, n) and NRdata (l, m, n), and displaying a scatter diagram between property properties; The angle of structure (Four-quadrant inverse tangent) of the distribution position located on the scatter plot between the properties of NDdata (l, m, n) and NRdata (l, m, n) after the normalization step (Four-quadrant inverse tangent) A TA and TI value converting step of converting a Type Angle (TA) value to a Type Intensity (TI) value using a distance away from the origin; Determining a threshold value using a TA value and a TI value obtained through the TA and TI value conversion step, and determining the minimum value of the TI value divided into two or more regions on the scatter diagram as a threshold value. step; And a three-dimensional geological structure analysis step of analyzing a three-dimensional geological structure on the basis of the maximal point of the TA value of each of the regions divided by the threshold value determining step. It is starting.

However, in the prior art document, a magnetic field and a relative amplitude spectrum are calculated by estimating a deeper abnormal structure, and a spectral similarity curve is calculated using the calculated magnetic field and the relative amplitude spectrum. It is not disclosed a technique for deriving and selecting a continuous distance showing the maximum similarity value in the spectral similarity curve as an optimal continuous distance.

Therefore, there is an urgent need for a technique for determining an optimal distance by repeatedly applying a series to separate abnormalities due to geologically important structures.

[Preceding technical literature]

[Patent Documents]

(Patent Document 1) Patent Number: Republic of Korea Patent No. 10-1157792 (Name of the invention: 3D geological structure analysis method)

The present invention has been made to solve the problems of the prior art as described above, and an object of the present invention is to derive a spectral similarity curve by repeatedly applying the continuation to determine the optimal distance of continuation, and the spectral similarity An apparatus and method for determining an optimum continuous distance of the continuous method for stripping, which determines the continuous distance showing the maximum similarity value in a curve as the optimal continuous distance.

To this end, a streaming method for determining an optimum continuous distance of a continuous filter according to the present invention includes: (A) calculating a magnetic field and a relative amplitude spectrum by estimating a deep abnormal structure; (B) a computing unit calculating spectral similarity using the magnetic field and the relative amplitude spectrum calculated in the step (A); And (C) the selection unit deriving a spectral similarity curve based on the spectral similarity calculated in the step (B) and selecting a continuous distance showing the maximum similarity value of the spectral similarity curve as an optimal distance. It includes.

In the step (A) according to an embodiment of the present invention, the estimation is estimated by approximation or inversion, such as a half amplitude width.

In addition, the step (B) according to the embodiment of the present invention includes the steps of: (a) continuing the observation field upwards by any one of the estimated distances below the depth of the deep structure abnormality; (b) repeating step (a) a predetermined number of times; And deriving spectral similarity between the continuous field and the estimated field in step (b).

On the other hand, in the embodiment of the present invention, the spectral similarity is calculated by the following equation (1).

[Equation 1]

In addition, the apparatus for determining the optimum continuous distance of the continuous method for stripping according to an embodiment of the present invention includes a calculation unit for estimating the deeper abnormal structure to calculate the magnetic field and the relative amplitude spectrum; A calculator for deriving spectral similarity using the calculated magnetic field and the relative amplitude spectrum; And a selection unit for deriving a spectral similarity curve based on the calculated spectral similarity and selecting a maximum value of the spectral similarity curve as an optimal distance.

In an embodiment of the invention, the estimation is estimated by approximation or inversion, such as half amplitude width.

In addition, according to an embodiment of the present invention, the operation unit continues the observation field in an upward direction by any one distance among the estimated distances of the depth or more of the deep structure or more, and the continuation by a predetermined number of ranges. Iteratively derives the spectral similarity between successive and estimated fields.

In addition, the embodiment of the present invention is based on a simple model having an irregular but generally vertical prism-shaped ideal body in the core and several noise sources in the top as shown in FIG.

Finally, according to the embodiment of the present invention, the spectral similarity is calculated by the calculation unit (1).

[Equation 1]

The features and advantages of the present invention will become more apparent from the following detailed description based on the accompanying drawings.

Prior to this, the terms or words used in this specification and claims are not to be interpreted in a conventional and dictionary sense, and the inventors may appropriately define the concept of terms in order to best describe their own invention. It should be interpreted as a meaning and a concept corresponding to the technical idea of the present invention based on the Win principle.

According to various embodiments of the present disclosure, by applying a continuous iteratively to determine the optimum continuous distance, and by continuing up by the determined distance, the effect that can be effectively separated from the noise effect of the natural part by the ideal body of the core There is.

Therefore, according to various embodiments of the present invention, there is an effect of providing accurate geological data by effectively separating the overlap effect ultimately.

1 is a block diagram illustrating, for example, an apparatus for determining an optimum continuous distance of a continuous method for stripping according to an embodiment of the present invention.

2 is a flow chart illustrating a method for determining an optimum continuous distance of the continuous method for stripping according to an embodiment of the present invention.

3 is a graph showing an underground structural model according to an embodiment of the present invention and the magnetic abnormality curve by the model.

FIG. 4 is a graph showing an amplitude spectrum due to a deep noise structure and a shallow noise source by the model of FIG. 3 according to an exemplary embodiment of the present invention.

5 is a flowchart illustrating an operation of calculating, by a calculator, spectral similarity according to an embodiment of the present invention.

6 is a graph showing a spectral similarity curve when applying continuous up by various continuous distances according to an embodiment of the present invention.

FIG. 7 is a graph showing a magnetic abnormality curve applied by a selector according to an exemplary embodiment of the present invention selecting a maximum value at an optimal distance.

100: streaming device 110: calculator

120: calculator 130: selector

The objects, specific advantages and novel features of the present invention will become more apparent from the following detailed description and preferred embodiments in conjunction with the accompanying drawings. In the present specification, in adding reference numerals to the components of each drawing, it should be noted that the same components as possible, even if displayed on different drawings have the same number as possible. Also, the singular forms used below include the plural forms unless the phrases clearly indicate the opposite meanings. Throughout the specification, when a part is said to "include" a certain component, it means that it may further include other components, except to exclude other components unless specifically stated otherwise.

The same reference numerals are used for the same members in FIGS. 1 to 7.

The basic principle of the present invention is to derive a spectral similarity curve by repeatedly applying the continuation to determine the optimal distance of continuation, and to determine the maximum value of the spectral similarity curve as the optimal distance.

In addition, in describing the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

Prior to describing the present invention in detail, the measured gravity or magnetic exploration data is the sum of the effects by various lipid sources distributed horizontally or vertically. This overlapping effect distorts the anomalies caused by the ore and the geological structure to be detected. Separation of anomalies due to geologically important structures from overlapping exploration data is key to exploration data processing.

In most exploration conditions, the separation of the effects of the core ideals from the noise effects of the sky is called stripping. Many techniques have been devised, but many are limited, empirical, and not quantitative. Therefore, there is a need for a method for determining the optimal comfort distance in realistic geological environments.

The gist of the present invention is to determine the optimum continuous distance through the experiment to apply the continuous continuous upward. Here, spectral similarity is presented as an index for obtaining an optimal value.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Referring to FIG. 1, the apparatus 100 for determining an optimum continuous distance of the continuous method for stripping according to the present invention includes a calculator 110, a calculator 120, and a selector 130.

As shown in FIG. 1, an apparatus 100 for determining an optimum continuous distance of the continuous method for stripping according to an embodiment of the present invention will be described in detail.

First, the calculating unit 110 is started.

The calculation unit 110 calculates a magnetic field and a relative amplitude spectrum by estimating the deep abnormal structure.

The deep abnormal structure is estimated by simple operations such as half-width or approximation.

Here, the half amplitude width means the horizontal distance that is half of the maximum value in the ideal curve, and half the horizontal distance is usually taken in the gravity and magnetic abnormality curves. In an open curve such as an abnormal curve caused by a fault, half of the horizontal distance between a point that becomes 1/4 of the maximum value and a point that becomes 3/4 is taken. The half amplitude width is used to roughly determine the depth at the gravity and magnetic abnormalities. For example, in the magnetic abnormality curve caused by the spherical ideal body, the half amplitude width is approximately half of the ideal body depth.

On the other hand, the approximation means an arithmetic method of calculating an approximation of the result using an approximation number, also called an approximation. In other words, approximation is used to make a brief check on the calculation result or to estimate the approximate value.

After the estimation unit 110 estimates the deep abnormality structure, the magnetic field and the relative amplitude spectrum of the estimated deep abnormality structure are calculated.

Next, the calculator 120 calculates spectral similarity using the magnetic field and the relative amplitude spectrum.

To this end, the calculation unit 120 continues the observation field upwards by a smaller distance than the distance estimated as the depth of the deep abnormal structure. Herein, the operation unit 120 continues the observation field upwards a predetermined number of times. Preferably, the calculation unit 120 repeats the observation field continuously in the upward direction by a sufficient range.

Finally, the calculating unit 120 calculates spectral similarity between the continuous field and the estimated field calculated by successive repetitions.

Here, spectral similarity is calculated by the following equation.

[Equation 1]

Where i is a sample, S1 is the spectrum due to the deep ideal, and S2 is the upward continuous spectrum. And N represents the total number of samples.

The selector 130 generates a spectral similarity curve using the spectral similarity value calculated by the calculator 120.

Thereafter, the selector 130 selects the distance showing the maximum similarity value in the generated spectral similarity curve as the optimal continuous distance.

On the other hand, if the spectral similarity curve is very irregular or the maximum value does not satisfy the preset condition, the calculator 110 estimates the deep abnormality structure again, and the calculator 120 calculates the spectral similarity value again. . The selecting unit 130 repeats the operation of the calculating unit 120 until a maximum value that satisfies a preset condition is derived.

Referring to FIG. 2, in the method S100 for determining an optimal continuous distance of the continuous method for stripping according to an exemplary embodiment of the present invention, the calculation unit 110 estimates a deeper abnormal structure and makes a relative relation with a magnetic field. Computing a relative amplitude spectrum (calculation step S110), the spectral similarity using the calculated magnetic field and the relative amplitude spectrum calculated by the calculation unit 120 Based on the computed spectral similarity calculated by the step (operation step S120) and the selection unit 130, derives a spectral similarity curve and sets the distance when the maximum value among the curves is shown as an optimal distance. Selecting step (selecting step, S130).

The method S100 for determining an optimum continuous distance of the continuous method for stripping according to an embodiment of the present invention configured as shown in FIG. 2 will be described in detail as follows.

First, the calculation unit 110 calculates the magnetic field and the relative amplitude spectrum by estimating the deep abnormal structure (S110).

Since the magnetic field and the relative amplitude spectrum have been described above, the details are omitted.

In order to explain step S110, the following description will be made with reference to FIGS.

FIG. 3 is a graph showing an underground structural model according to an embodiment of the present invention and a magnetic abnormality curve by the model, and FIG. 4 is a diagram illustrating a noise source and a deep structure of a natural part by the model of FIG. 3 according to an exemplary embodiment of the present invention. This is a graph showing the amplitude spectrum.

First, referring to FIG. 3, an anomaly curve in which an irregular but generally vertical prism-shaped ideal body A exists at depth 7 and a plurality of noise sources B exists between depths 2 to 4 is illustrated. do.

Referring to FIG. 4, it can be seen that amplitude spectra by natural noise sources and deep structures are shown. Therefore, referring to FIGS. 3 and 4, it can be seen that the abnormal curve caused by the ideal body of the core part is severely distorted due to noise in the top part.

Referring back to FIG. 3, it can be estimated that the ideal bodies A and B are present at depths 7 and 2 to 4, respectively.

Next, the calculator 120 calculates spectral similarity using the calculated magnetic field and the relative amplitude spectrum (S120).

Referring to FIG. 5, the operation of calculating the spectral similarity by the calculator 120 will be described.

Referring to FIG. 5, the step S120 of calculating the spectral similarity by the calculation unit 120 includes a continuous direction S121, a step S121 repetition step S122, and a spectral similarity calculation step S123.

Referring to the spectroscopic similarity calculation step S120 according to the embodiment of the present invention configured as shown in FIG. 5 in detail as follows.

First, the continuous upward step S121 is started.

The continuous upward direction (S121) is a step of continuing the observation field in the upward direction by any one of the distances below the depth of the estimated deeper structure or more.

Thereafter, step S121 is repeated a predetermined number of times (S122).

The predetermined number of times is preferably set by the setter.

Finally, the spectral similarity between the continuous field and the estimated field is calculated (S123).

The spectral similarity value calculated in this way is derived by the selection unit 130 as a spectral similarity curve.

Referring to FIG. 6, there is shown a graph of the spectral similarity curve when the structure of the deep ideal body assumes that the vertical prism is at depth 8 and is continuous from 0 to 15 upwards.

Referring to FIG. 6, the maximum value at depth 3.4 is shown.

Here, the selector 130 selects and applies the maximum value to an optimal distance.

Referring to FIG. 7, the selector 130 may derive a magnetic abnormality curve as a result of successive up to the distance 3.4 selected in FIG. 6.

Thus, according to the present invention, it is possible to provide a method for determining the optimum continuous distance of the continuous method for stripping to separate the effect of the ideal body of the core from the noise effect of the core by determining the optimum distance by repeatedly applying the continuous. Can be.

While the above has been shown and described with respect to preferred embodiments of the invention, the invention is not limited to the specific embodiments described above, it is usually in the technical field to which the invention belongs without departing from the spirit of the invention claimed in the claims. Various modifications can be made by those skilled in the art, and these modifications should not be individually understood from the technical spirit or the prospect of the present invention.

According to the present invention, by applying successive iterations to determine the optimal continuous distance, and by continuing up by the determined distance, it is possible to effectively separate the effect by the ideal body of the core from the noise effect of the natural, ultimately overlapping effect Effective segregation can provide accurate geological data.

Claims

(A) calculating a magnetic field and a relative amplitude spectrum by estimating a deep abnormality structure by the calculating unit;

(B) a computing unit calculating spectral similarity using the magnetic field and the relative amplitude spectrum calculated in the step (A); And

(C) the selection unit deriving a spectral similarity curve based on the spectral similarity calculated in step (B), and selecting a continuous distance showing the most similarity value of the spectral similarity curve as an optimal distance. A method for determining the optimum continuous distance of the continuous method for stripping.
The method according to claim 1,

In the step (A), the estimation

A method for determining the optimum continuous distance of the continuous method up for stripping characterized in that it is estimated by approximation or inversion, such as half amplitude width.
The method according to claim 1,

Step (B) is,

(a) continuing the observation field in an upward direction by any one of the estimated distances below the depth of the deep abnormal structure;

(b) repeating step (a) a predetermined number of times; And

and (c) deriving the spectral similarity between the continuous and estimated fields in step (b).
The method according to claim 1,

The spectral similarity is

A method for determining the optimum continuous distance of the continuous method up for stripping, characterized by the following equation (1).

[Equation 1]
A calculation unit for estimating a deeper abnormal structure and calculating a magnetic field and a relative amplitude spectrum;

A calculator for deriving spectral similarity using the calculated magnetic field and the relative amplitude spectrum; And

And a selection unit for deriving a spectral similarity curve based on the calculated spectral similarity and selecting a maximum value of the spectral similarity curve as an optimal distance.
The method according to claim 5,

The estimation is

Apparatus for determining the optimal continuous distance of the continuous method up for stripping characterized in that it is estimated by approximation or inversion, such as half amplitude width.
The method according to claim 5,

The calculation unit,

Spectroscopy between the continuous field and the estimated field by continuing the observation field in the upper direction by any one of the distances less than the depth of the deeper structure than the estimated deep structure, and repeating the continuous the predetermined number of times range Apparatus for determining the optimum continuous distance of the continuous method for stripping characterized by deriving similarity.
The method of claim 5, wherein the spectral similarity is

And the computing unit is calculated by the following equation (1).

[Equation 1]