CN111045112A - Detection method for identifying blind fracture structure of hydrothermal uranium deposit - Google Patents

Detection method for identifying blind fracture structure of hydrothermal uranium deposit Download PDF

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CN111045112A
CN111045112A CN201911401355.0A CN201911401355A CN111045112A CN 111045112 A CN111045112 A CN 111045112A CN 201911401355 A CN201911401355 A CN 201911401355A CN 111045112 A CN111045112 A CN 111045112A
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measuring point
fracture
data
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喻翔
梁永顺
汪硕
胡小婕
杨龙泉
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Beijing Research Institute of Uranium Geology
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Beijing Research Institute of Uranium Geology
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Abstract

The invention belongs to the technical field of hydrothermal uranium deposit geological exploration, and particularly relates to a detection method for identifying a hidden fracture structure of a hydrothermal uranium deposit. The invention comprises the following steps: step 1, developing 4 measurement methods of gravity, ground high-precision magnetic measurement, ground gamma energy spectrum and soil radon gas in a hydrothermal uranium resource exploration area; step 2, carrying out upward continuation on the gravity data in the step 1, and solving a vertical horizontal first-order derivative DZG; step 3, polarizing the magnetic force data in the step 1, and solving a vertical first derivative to process DZM; step 4, calculating the average value and the mean square error of the uranium content of the ground gamma energy spectrum and the soil radon gas concentration obtained in the step 1; step 5, calculating information contrast values of ground gamma energy spectrum measurement and soil radon gas instantaneous measurement data; and 6, deducing and interpreting the latent fracture structure. The method can accurately identify the hidden fracture structure information and characteristics.

Description

Detection method for identifying blind fracture structure of hydrothermal uranium deposit
Technical Field
The invention belongs to the technical field of hydrothermal uranium deposit geological exploration, and particularly relates to a detection method for identifying a hidden fracture structure of a hydrothermal uranium deposit.
Background
The hydrothermal type uranium deposit is a useful mineral deposit formed by mineral-forming methods such as filling, substitution, deposition and the like in various favorable structures and rock bodies under certain physicochemical conditions by using ore-containing hydrothermal solution. Including granite-type and volcanic-type uranium deposits, which are the major industrial types in our country. Uranium mine production sites are typically in the outer contact zone or fracture formation of the rock mass. At present, fracture structures which are exposed on the earth surface and shallow in burial depth and can be searched for geologically are found, the search for deep blind fracture structures becomes one of the main problems faced by current uranium ore geologists, information such as spatial position form, extension length, plane spread characteristics and the like of blind fracture structures in uranium ore deposits is particularly important, and the important blind fractures have important ore searching significance for controlling the uranium mineralization function of hydrothermal uranium ore deposits.
Gravity, ground high-precision magnetic method, ground gamma energy spectrum measurement and soil radon gas measurement are effective and direct detection methods for uranium mine exploration. The gravity exploration method has remarkable effect in solving geological problems of earth structure unit division, deep and large fracture pursuit and the like; the ground high-precision magnetic method plays an important role in solving the problems of regional fracture, secondary fracture structure and the like, and particularly has obvious effect in the aspect of finding uranium and polymetallic minerals in recent years; the ground gamma-ray spectrum measurement and soil radon gas measurement are conventional measures for radioactive measurement, play an important role in fracture structure of hydrothermal uranium ore formation, and are also main channels for decay daughter rising of uranium such as radium, radon and the like. The ground gamma-ray spectral measurement mainly reflects the radioactive characteristics of the superficial layer of the earth surface, the single use cannot meet the requirement of finding ores from deep uranium ores, and although the detection depth of the method for measuring radon and daughters of radon is greater than that of the gamma-ray spectral measurement, the method is easily influenced by factors such as landform, climate and the like, and the actual application effect of the method is manifold.
In the conventional inference and interpretation work of the fracture structure, comprehensive and integral consideration and analysis are not carried out, and a more accurate identification method of the blind fracture structure needs to be established by combining several typical effective identification and detection technologies aiming at the exploration of the blind fracture structure of the hydrothermal uranium deposit.
Disclosure of Invention
The invention aims to provide a detection method for identifying blind fracture structures of hydrothermal uranium deposit, which can accurately identify information and characteristics of the blind fracture structures.
The technical scheme for realizing the purpose of the invention is as follows:
a detection method for identifying blind fracture structures of hydrothermal uranium deposit comprises the following steps:
step 1, in a hydrothermal uranium resource exploration area, developing on-line 1: 1 ten thousand to 1: 4 measurement methods of 5 ten thousand of gravity, ground high-precision magnetic measurement, ground gamma energy spectrum and soil radon gas; step 2, carrying out upward continuation on the gravity data in the step 1, solving a vertical horizontal first derivative DZG, and normalizing the DZG to [0, 1%]Within the range; step 3, polarizing the magnetic force data in the step 1, solving a vertical first derivative to process DZM, and normalizing the DZM to [0,1]Within the range; step 4, calculating the average values of the uranium content in the ground gamma energy spectrum and the soil radon gas concentration obtained in the step 1, and respectively recording the average values as MGU、MRnAnd simultaneously, calculating their mean square deviations, respectively denoted as SGU、SRn(ii) a Step 5, calculating information contrast values of ground gamma energy spectrum measurement and soil radon gas instantaneous measurement data; step 6, comprehensive information index ID of latent fracture structure of No. i measuring pointi(ii) a And 7, for a certain measuring point, if the ID value is more than 4.0, the measuring point has high latent fracture structural potential, and if the ID value is 3.0<ID<4.0, the measuring point has higher latent fracture structure potential, and if the measuring point is 2.0<ID<3.0, the station has general latent fracture construction potential, if ID<2.0, the measuring point has no latent fracture structural potential; step 8, respectively enabling the ID value in the step 7 to be larger than 4.0 and 3.0<ID<4.0、2.0<ID<And 3.0, screening out the measuring points, projecting the measuring points on a plane to a geological map to connect the measuring points, and deducing and decoding the hidden fracture structure by combining with a specific geological profile.
In the step 1, gravity data, magnetic data, ground gamma spectrum uranium content and soil radon gas concentration 4 data are obtained.
In the step 1, the network measurement, the line measurement and the point distance of the 4 measurement methods are kept consistent.
In the step 2, DZG is normalized to be in the range of [0,1] by using the formula (1):
DZGSi=(DZiG-DZminG)/(DZmaxG-DZminG); (1)
in the above formula, DZGSiIs the vertical first derivative, DZ, of the gravity data after normalization of the measuring point No. iiG is the vertical first derivative of the measuring point No. i, DZminG and DZmaxG is respectively the minimum value and the maximum value of the vertical first derivative of the gravity data of the measuring line.
In step 3, DZM is normalized to the range of [0,1] by using formula (2):
DZMSi=(DZiM-DZminM)/(DZmaxM-DZminM); (2)
in the above formula, DZMSiIs the vertical first derivative, DZ, of the gravity data after normalization of the measuring point No. iiM is the vertical first derivative of the measuring point No. i, DZminM and DZmaxM is respectively the minimum value and the maximum value of the vertical first derivative of the measuring line magnetic measurement data.
In the step 3, the polarization processing needs to search the basic magnetic field parameters of the earth, and the background magnetic field strength value, the dip angle and the declination angle of the investigation region are calculated by utilizing a spherical harmonic model.
Information contrast value IGU of ground gamma energy spectrum uranium content data of measuring point No. iiDetermined by equation (3):
Figure BDA0002347527360000031
the uranium content value of the ground gamma energy spectrum of the measuring point No. i is GUiAnd the soil radon concentration data value of the measuring point No. i is RniInformation contrast value IRn of soil radon concentration data of No. i measuring pointiDetermined by equation (4):
Figure BDA0002347527360000032
in the step 6, the ithHidden fracture structure comprehensive information index ID of number measuring pointiCalculating by using the formula (5):
IDi=DZSiG+DZMSi+IGUi+IRni(5)。
the invention has the beneficial technical effects that:
(1) the detection method for identifying the blind fracture structure of the hydrothermal uranium deposit is suitable for a hydrothermal uranium resource prediction area in a nationwide range, and is wide in coverage area, strong in operability and high in effectiveness;
(2) the invention relates to a detection method for identifying blind fracture structures of hydrothermal uranium deposit, which comprehensively judges and identifies blind fracture structure information by using several physical and chemical detection methods, has concise flow operation and high efficiency, and ensures the truth and objectivity of research results.
Drawings
Fig. 1 is a flowchart of a detection method for identifying a blind fracture structure of a hydrothermal uranium deposit according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The invention relates to a detection method for identifying a hidden fracture structure of a hydrothermal uranium deposit by taking Guangxi Miao mountain uranium ore field as an example, which sequentially comprises the following steps:
step 1, developing on a measuring line 1: 1 ten thousand to 1: the method comprises the steps of 5 ten thousand gravity, ground high-precision magnetic measurement, and 4 measurement methods of a ground gamma energy spectrum and soil radon gas, wherein gravity data, magnetic data, the uranium content of the ground gamma energy spectrum and the soil radon gas concentration are obtained, the distance between measuring points is 20m, 50 measuring lines are arranged totally, and the line distance is 100 m.
Step 2, carrying out upward continuation on the gravity data in the step 1, solving a vertical horizontal first derivative DZG, and normalizing the DZG to a range of [0,1] by using a formula (1):
DZGSi=(DZiG-DZminG)/(DZmaxG-DZminG); (1)
in the above formula, DZGSiNormalized gravity for measuring point No. iFirst derivative of data vertical, DZiG is the vertical first derivative of the measuring point No. i, DZminG and DZmaxG is respectively the minimum value and the maximum value of the vertical first derivative of the gravity data of the measuring line.
Step 3, polarizing the magnetic force data in the step 1, solving a vertical first derivative to process DZM, and normalizing DZM to be in a range of [0,1] by using the formula (2):
DZMSi=(DZiM-DZminM)/(DZmaxM-DZminM); (2)
in the above formula, DZMSiIs the vertical first derivative, DZ, of the gravity data after normalization of the measuring point No. iiM is the vertical first derivative of the measuring point No. i, DZminM and DZmaxM is respectively the minimum value and the maximum value of the vertical first derivative of the measuring line magnetic measurement data.
In the step 3, basic magnetic field parameters of the earth need to be searched for during the processing of the polarizer, and the background magnetic field strength value, the dip angle and the declination angle of the investigation region are calculated by utilizing a spherical harmonic model provided by an http:// www.ngdc.noaa.gov/seg/geotag/jsp/IGRF.jsp website;
step 4, calculating the average values of the uranium content in the ground gamma energy spectrum and the soil radon gas concentration obtained in the step 1, and respectively recording the average values as MGU、MRnAnd simultaneously, calculating their mean square deviations, respectively denoted as SGU、SRn
Step 5, calculating information contrast values of ground gamma spectrum measurement and soil radon gas instantaneous measurement data, wherein the ground gamma spectrum uranium content value of the measuring point No. i is GUiInformation contrast value IGU of ground gamma energy spectrum uranium content data of the No. i measuring pointiDetermined by equation (3):
Figure BDA0002347527360000051
the soil radon concentration data value of the measuring point No. i is RniInformation contrast value IRn of soil radon concentration data of No. i measuring pointiDetermined by equation (4):
Figure BDA0002347527360000052
step 6, comprehensive information index ID of latent fracture structure of No. i measuring pointiCalculating by using the formula (5):
IDi=DZSiG+DZMSi+IGUi+IRni(5)
and 7, for a certain measuring point, if the ID value is greater than 4.0, the measuring point has high latent fracture structural potential, if the ID is more than 3.0 and less than 4.0, the measuring point has high latent fracture structural potential, if the ID is more than 2.0 and less than 3.0, the measuring point has general latent fracture structural potential, and if the ID is less than 2.0, the measuring point has no latent fracture structural potential.
And 8, screening the measuring points with the ID values of more than 4.0, 3.0< ID <4.0 and 2.0< ID <3.0 in the step 7 respectively, projecting the measuring points on a plane to a geological map to connect the measuring points, and deducing and decoding the hidden fracture structure by combining with a specific geological profile.
The present invention has been described in detail with reference to the drawings and examples, but the present invention is not limited to the examples, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention. The prior art can be adopted in the content which is not described in detail in the invention.

Claims (8)

1. A detection method for identifying a blind fracture structure of a hydrothermal uranium deposit is characterized by comprising the following steps: the method comprises the following steps:
step (1), in a hydrothermal uranium resource exploration area, developing on-line 1: 1 ten thousand to 1: 4 measurement methods of 5 ten thousand of gravity, ground high-precision magnetic measurement, ground gamma energy spectrum and soil radon gas; step (2) upwards extending the gravity data in the step (1), solving a vertical horizontal first derivative DZG, and normalizing the DZG to [0,1]]Within the range; step (3) polarizing the magnetic force data in the step (1), solving a vertical first derivative to process DZM, and normalizing the DZM to [0, 1%]Within the range; step (4) of comparing the ground gamma obtained in the step (1)Calculating the average values of the energy spectrum uranium content and the soil radon gas concentration, and respectively recording as MGU、MRnAnd simultaneously, calculating their mean square deviations, respectively denoted as SGU、SRn(ii) a Step (5), calculating information contrast values of ground gamma energy spectrum measurement and soil radon gas instantaneous measurement data; step (6), comprehensive information index ID of latent fracture structure of No. i measuring pointi(ii) a And (7) for a certain measuring point, if the ID value is more than 4.0, the measuring point has high latent fracture structural potential, and if the ID value is 3.0<ID<4.0, the measuring point has higher latent fracture structure potential, and if the measuring point is 2.0<ID<3.0, the station has general latent fracture construction potential, if ID<2.0, the measuring point has no latent fracture structural potential; step (8) respectively enabling the ID value in the step (7) to be larger than 4.0 and 3.0<ID<4.0、2.0<ID<And 3.0, screening out the measuring points, projecting the measuring points on a plane to a geological map to connect the measuring points, and deducing and decoding the hidden fracture structure by combining with a specific geological profile.
2. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 1, wherein: and (2) in the step (1), acquiring gravity data, magnetic data, ground gamma energy spectrum uranium content and soil radon gas concentration 4.
3. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 1, wherein: in the step (1), the net measurement, line measurement and point distance of the 4 measurement methods are kept consistent.
4. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 2, wherein: in the step (2), DZG is normalized to be in the range of [0,1] by using the formula (1):
DZGSi=(DZiG-DZminG)/(DZmaxG-DZminG); (1)
in the above formula, DZGSiIs the vertical first derivative of the gravity data after normalization of the measuring point No. i, DZiG is the vertical first derivative of the measuring point No. i, DZminG and DZmaxG is respectively the minimum value and the maximum value of the vertical first derivative of the gravity data of the measuring line.
5. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 2, wherein: in the step (3), DZM is normalized to be in the range of [0,1] by using the formula (2):
DZMSi=(DZiM-DZminM)/(DZmaxM-DZminM); (2)
in the above formula, DZMSiIs the vertical first derivative, DZ, of the gravity data after normalization of the measuring point No. iiM is the vertical first derivative of the measuring point No. i, DZminM and DZmaxM is respectively the minimum value and the maximum value of the vertical first derivative of the measuring line magnetic measurement data.
6. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 5, wherein: in the step (3), basic magnetic field parameters of the earth are searched for in the chemical pole treatment, and the background magnetic field strength value, the dip angle and the declination angle of the investigation region are calculated by utilizing a spherical harmonic model.
7. The method of detecting blind fracture structures in hydrothermal uranium deposits according to claim 2, wherein: information contrast value IGU of ground gamma energy spectrum uranium content data of measuring point No. iiDetermined by equation (3):
Figure FDA0002347527350000031
the uranium content value of the ground gamma energy spectrum of the measuring point No. i is GUiAnd the soil radon concentration data value of the measuring point No. i is RniInformation contrast value IRn of soil radon concentration data of No. i measuring pointiDetermined by equation (4):
Figure FDA0002347527350000032
8. the method of detecting blind fracture formation in a hydrothermal uranium deposit according to claim 7, wherein: in the step (6), the hidden fracture structure comprehensive information index ID of the No. i measuring pointiCalculating by using the formula (5):
IDi=DZSiG+DZMSi+IGUi+IRni(5)。
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111580182A (en) * 2020-06-04 2020-08-25 核工业航测遥感中心 Method for searching environment favorable for sodium-substituted uranium mineralization in second prospecting space
CN111679342A (en) * 2020-07-21 2020-09-18 核工业航测遥感中心 Method for rapidly searching basin concealed sandstone type uranium ore
CN112748479A (en) * 2020-12-25 2021-05-04 核工业北京地质研究院 Geophysical prospecting combination method for evaluating potential of known hydrothermal uranium deposit peripheral resources
CN112965141A (en) * 2021-02-06 2021-06-15 核工业北京地质研究院 Delineation method for favorable section of uranium polymetallic ore
CN115407425A (en) * 2022-09-30 2022-11-29 山东省地质矿产勘查开发局第五地质大队(山东省第五地质矿产勘查院) Rare earth ore prospecting method and system in shallow coverage area

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104615843A (en) * 2014-11-28 2015-05-13 核工业北京地质研究院 Geophysical and geochemical prospecting comprehensive method for recognizing hidden volcanite-type uranium mineralization information
CN108279444A (en) * 2017-12-25 2018-07-13 核工业北京地质研究院 A kind of mesothermal gold deposits deep detection method
CN109991681A (en) * 2019-04-17 2019-07-09 湖南省地质调查院 A kind of Rare Metal Deposit method of prospecting based on geology and geophysical techniques

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104615843A (en) * 2014-11-28 2015-05-13 核工业北京地质研究院 Geophysical and geochemical prospecting comprehensive method for recognizing hidden volcanite-type uranium mineralization information
CN108279444A (en) * 2017-12-25 2018-07-13 核工业北京地质研究院 A kind of mesothermal gold deposits deep detection method
CN109991681A (en) * 2019-04-17 2019-07-09 湖南省地质调查院 A kind of Rare Metal Deposit method of prospecting based on geology and geophysical techniques

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘家远 等编著: "《隐伏矿床预测的理论和方法》", 31 January 2006, 冶金工业出版社 *
赵希刚: "多元信息综合分析在丹凤三角地区铀矿远景预测中的应用", 《铀矿地质》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111580182A (en) * 2020-06-04 2020-08-25 核工业航测遥感中心 Method for searching environment favorable for sodium-substituted uranium mineralization in second prospecting space
CN111580182B (en) * 2020-06-04 2022-12-13 核工业航测遥感中心 Method for searching environment favorable for sodium-substituted uranium mineralization in second prospecting space
CN111679342A (en) * 2020-07-21 2020-09-18 核工业航测遥感中心 Method for rapidly searching basin concealed sandstone type uranium ore
CN112748479A (en) * 2020-12-25 2021-05-04 核工业北京地质研究院 Geophysical prospecting combination method for evaluating potential of known hydrothermal uranium deposit peripheral resources
CN112965141A (en) * 2021-02-06 2021-06-15 核工业北京地质研究院 Delineation method for favorable section of uranium polymetallic ore
CN112965141B (en) * 2021-02-06 2024-03-08 核工业北京地质研究院 Delineating method of ore-forming favorable section of uranium polymetallic ore
CN115407425A (en) * 2022-09-30 2022-11-29 山东省地质矿产勘查开发局第五地质大队(山东省第五地质矿产勘查院) Rare earth ore prospecting method and system in shallow coverage area

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