CN103529481A - Deep uranium mineralization information detection method - Google Patents

Deep uranium mineralization information detection method Download PDF

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Publication number
CN103529481A
CN103529481A CN201310350138.XA CN201310350138A CN103529481A CN 103529481 A CN103529481 A CN 103529481A CN 201310350138 A CN201310350138 A CN 201310350138A CN 103529481 A CN103529481 A CN 103529481A
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measuring point
value
depth
mineralization
uranium
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CN103529481B (en
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柯丹
王勇
韩绍阳
宋亮
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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 uranium resource prospecting methods, and particularly relates to a method capable of effectively detecting deep uranium mineralization information. The method comprises the following steps of (1) setting measuring points in a working area, placing an activated carbon detector on the ground at each measuring point, simultaneously digging a round pit in the ground at each measuring point, and burying an activated carbon detector in each round pit; (2) taking out the ground and underground activated carbon detectors at each measuring point, and measuring radon concentration values on the ground and at an underground depth h; (3) calculating a perpendicular change gradient value G of radon concentration at each measuring point; (4) calculating a radon concentration value at a burial depth of 40cm at each measuring point; (5) calculating a mineralization information index Ei corresponding to an ith measuring point; (6) identifying advantageous areas for deep uranium mineralization by adopting a concentration and frequency fractal method; (7) determining areas with mineralization information indexes E greater than pm as the advantageous areas for uranium mineralization according to identifiers, determined by the step (6), of the advantageous areas for uranium mineralization.

Description

A kind of URANIUM DEPOSITS IN THE DEPTH information detection method
Technical field
The invention belongs to uranium resource exploration method technical field, be specifically related to a kind of method that can effectively survey URANIUM DEPOSITS IN THE DEPTH information.
Background technology
Charcoal absorption is surveyed radon method by measuring the decay daughter of radon 214pb and 214the intensity of the gamma rays that Bi radiates is determined soil radon concentration, and further for Prospecting For Uranium provides foundation.That the method has is anti-interference, good stability, high precision, the advantage such as can repeat, and is one of conventional uranium ore detection method.But soil radon concentration is often subject to the impact of the factors such as tectal thickness, ambient humidity, and cannot accurately reflect URANIUM DEPOSITS IN THE DEPTH information.
It is at the underground dell that digs that the conventional working routine of radon method is surveyed in charcoal absorption, activated charcoal detector is placed and wherein measured soil radon concentration, what measure like this is only the soil radon gas concentration value of a certain degree of depth, do not reflect that soil radon concentration is with the variation of the degree of depth, cannot effectively determine whether the radon anomalies detecting is caused by URANIUM DEPOSITS IN THE DEPTHization.
Therefore, need a kind of URANIUM DEPOSITS IN THE DEPTH information detection method of development badly, to avoid being subject to the impact of the factors such as tectal thickness, ambient humidity, accurately URANIUM DEPOSITS IN THE DEPTH information is effectively surveyed, reflect that soil radon concentration is with the variation of the degree of depth simultaneously, and effectively determine the radon anomalies reason detecting.
Summary of the invention
The object of the present invention is to provide a kind of method of effective detection URANIUM DEPOSITS IN THE DEPTH information.
For achieving the above object, the technical scheme that the present invention takes is:
An information detection method, comprises the following steps:
(1) in workspace, set measuring point, on the ground of each point position, place 1 activated charcoal detector, excavate the circular pit that a degree of depth is h simultaneously, and imbed activated charcoal detector; The plan range of the activated charcoal detector that the distance of center circle of circular pit on earth's surface placed from earth's surface is L;
(2) place after a period of time, each ground, measuring point place of placing in step (1) and underground activated charcoal detector are taken out, with Activated Carbon Instrument for testing Radon, it is measured, obtain the radon concentration value at ground and underground degree of depth h place, be designated as respectively D 0and D h;
(3) for each measuring point, calculate the vertical variable gradient value of radon concentration G, by formula (1), calculate and obtain:
G = D h - D 0 h - - - ( 1 )
D in formula (1) 0and D hbe respectively the soil radon gas concentration value at measuring point earth's surface and degree of depth h place;
(4) according to the Grad G of each measuring point obtaining in step (3), calculate the radon concentration value at each measuring point 40cm buried depth place, by formula (2), provided:
R=D 0+40×G (2)
(5), for i measuring point, calculate corresponding mineralization information index E i, by formula (1), determined:
E i = R i - R min R max - R min + G i - G min G max - G min - - - ( 3 )
R in formula (3) maxand R minbe respectively workspace all measuring point soil radon concentration maximal value and minimum value, G maxand G minbe respectively all measuring point soil radon concentrations with maximal value and the minimum value of change in depth gradient, R iit is the soil radon gas concentration value at i measuring point place.
(6) adopt concentration and frequency fractal method to identify URANIUM DEPOSITS IN THE DEPTH beneficial zone, mineralization information index and frequency have the relation of formula (4):
F(E>p)∝E (4)
In formula (4), E is mineralization information index, and F (E > p) represents that mineralization information index E is greater than the measuring point number of a certain value p, itself and E proportional, α is fractal dimension; Between the maximal value of measuring point desired value and minimum value, evenly set n different threshold value, statistics measuring point mineralization information desired value is greater than p nthe number F of all measuring points n;
On the log-log plot of logF and logE, adopt least square fitting to go out two sections of straight lines, obtain the point of crossing corresponding measuring point desired value p of two sections of straight lines m, as the division foundation of identification uranium mineralization beneficial zone;
(7) according to uranium mineralization beneficial zone distinguishing mark definite in step (6), mineralization information index E is greater than to p mlocation, be defined as uranium mineralization beneficial zone.
Further, a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as above, in step (1), the degree of depth of circular pit is 30~80cm, diameter is 15~30cm, the plan range L≤1m of the activated charcoal detector that the distance of center circle of circular pit on earth's surface placed from earth's surface.
Further, a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as above, in step (2), be 5 to 8 days standing time, the standing time of each measuring point is identical.
Further, a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as above in step (6), is evenly set 15~20 different threshold values between the maximal value of measuring point radon concentration and minimum value.
Utilize after technical solution of the present invention, to URANIUM DEPOSITS IN THE DEPTH information, can effectively survey, to uranium ore deep prospecting, work has important practical significance.
Accompanying drawing explanation
Fig. 1 is a kind of URANIUM DEPOSITS IN THE DEPTH information detection method flow diagram provided by the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical solution of the present invention is elaborated.
As shown in Figure 1, a kind of URANIUM DEPOSITS IN THE DEPTH information detection of the present invention method, comprises the following steps:
An information detection method, comprises the following steps:
(1) in workspace, set measuring point, place 1 activated charcoal detector on the ground of each point position, excavate a degree of depth is h(30cm≤h≤80cm simultaneously), diameter to the circular pit between 30cm, and is imbedded activated charcoal detector between 15cm; Plan range L≤the 1m of the activated charcoal detector that the distance of center circle of circular pit on earth's surface placed from earth's surface;
(2) place (standing time of each measuring point is identical) after 5 to 8 days, each ground, measuring point place of placing in step (1) and underground activated charcoal detector are taken out, with Activated Carbon Instrument for testing Radon, it is measured, obtain the radon concentration value at ground and underground degree of depth h place, be designated as respectively D 0and D h;
(3) for each measuring point, calculate the vertical variable gradient value of radon concentration G, by formula (1), calculate and obtain:
G = D h - D 0 h - - - ( 1 )
D in formula (1) 0and D hbe respectively the soil radon gas concentration value at measuring point earth's surface and degree of depth h place.
(4) according to the Grad G of each measuring point obtaining in step (4), calculate the radon concentration value at each measuring point 40cm buried depth place, by formula (2), provided:
R=D 0+40×G (2)
(5), for i measuring point, calculate corresponding mineralization information index E i, by formula (1), determined:
E i = R i - R min R max - R min + G i - G min G max - G min - - - ( 3 )
R in formula (3) maxand R minbe respectively workspace all measuring point soil radon concentration maximal value and minimum value, G maxand G minbe respectively all measuring point soil radon concentrations with maximal value and the minimum value of change in depth gradient, R iit is the soil radon gas concentration value at i measuring point place.
(6) adopt concentration and frequency fractal method to identify URANIUM DEPOSITS IN THE DEPTH beneficial zone, concentration and frequency fractal model are determined by formula (4):
F(E>p)∝E (4)
In formula (4), E is mineralization information index, and F (E > p) represents that mineralization information index E is greater than the measuring point number of a certain value p, itself and E proportional, α is fractal dimension; Between the maximal value of measuring point desired value and minimum value, evenly set n different threshold value, statistics measuring point mineralization information desired value is greater than p nthe number F of all measuring points n;
On the log-log plot of logF and logE, adopt least square fitting to go out two sections of straight lines, obtain the point of crossing corresponding measuring point desired value p of two sections of straight lines m, as the division foundation of identification uranium mineralization beneficial zone;
(7) according to uranium mineralization beneficial zone distinguishing mark definite in step (6), mineralization information index E is greater than to p mlocation, be defined as uranium mineralization beneficial zone.

Claims (4)

1. a URANIUM DEPOSITS IN THE DEPTH information detection method, is characterized in that: comprise the following steps:
(1) in workspace, set measuring point, on the ground of each point position, place 1 activated charcoal detector, excavate the circular pit that a degree of depth is h simultaneously, and imbed activated charcoal detector; The plan range of the activated charcoal detector that the distance of center circle of circular pit on earth's surface placed from earth's surface is L;
(2) place after a period of time, each ground, measuring point place of placing in step (1) and underground activated charcoal detector are taken out, with Activated Carbon Instrument for testing Radon, it is measured, obtain the radon concentration value at ground and underground degree of depth h place, be designated as respectively D 0and D h;
(3) for each measuring point, calculate the vertical variable gradient value of radon concentration G, by formula (1), calculate and obtain:
G = D h - D 0 h - - - ( 1 )
D in formula (1) 0and D hbe respectively the soil radon gas concentration value at measuring point earth's surface and degree of depth h place;
(4) according to the Grad G of each measuring point obtaining in step (3), calculate the radon concentration value at each measuring point 40cm buried depth place, by formula (2), provided:
R=D 0+40×G (2)
(5), for i measuring point, calculate corresponding mineralization information index E i, by formula (1), determined:
E i = R i - R min R max - R min + G i - G min G max - G min - - - ( 3 )
R in formula (3) maxand R minbe respectively workspace all measuring point soil radon concentration maximal value and minimum value, G maxand G minbe respectively all measuring point soil radon concentrations with maximal value and the minimum value of change in depth gradient, R iit is the soil radon gas concentration value at i measuring point place;
(6) adopt concentration and frequency fractal method to identify URANIUM DEPOSITS IN THE DEPTH beneficial zone, mineralization information index and frequency have the relation of formula (4):
F(E>p)∝E (4)
In formula (4), E is mineralization information index, and F (E > p) represents that mineralization information index E is greater than the measuring point number of a certain value p, itself and E proportional, α is fractal dimension; Between the maximal value of measuring point desired value and minimum value, evenly set n different threshold value, statistics measuring point mineralization information desired value is greater than p nthe number F of all measuring points n;
On the log-log plot of logF and logE, adopt least square fitting to go out two sections of straight lines, obtain the point of crossing corresponding measuring point desired value p of two sections of straight lines m, as the division foundation of identification uranium mineralization beneficial zone;
(7) according to uranium mineralization beneficial zone distinguishing mark definite in step (6), mineralization information index E is greater than to p mlocation, be defined as uranium mineralization beneficial zone.
2. a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as claimed in claim 1, it is characterized in that: in step (1), the degree of depth of circular pit is 30~80cm, and diameter is 15~30cm, the plan range L≤1m of the activated charcoal detector that the distance of center circle of circular pit on earth's surface placed from earth's surface.
3. a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as claimed in claim 1, is characterized in that: in step (2), be 5 to 8 days standing time, and the standing time of each measuring point is identical.
4. a kind of URANIUM DEPOSITS IN THE DEPTH information detection method as claimed in claim 1, is characterized in that: in step (6), evenly set 15~20 different threshold values between the maximal value of measuring point radon concentration and minimum value.
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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103913780A (en) * 2014-03-18 2014-07-09 核工业北京地质研究院 Method for prospection of calcrete type uranium ore
CN103913781A (en) * 2014-03-18 2014-07-09 核工业北京地质研究院 Combined prospection method for predicting uranium ore body burial depth
CN104237964A (en) * 2014-08-14 2014-12-24 核工业北京地质研究院 Paleochannel type sandstone-type uranium ore deposit positioning method
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
CN104808255A (en) * 2015-04-30 2015-07-29 武汉光谷北斗控股集团有限公司 Fractal theory-based mineralization anomaly information mining method
CN105403909A (en) * 2015-08-13 2016-03-16 核工业北京地质研究院 Method for detecting paleochannel type uranium mine
CN106324691A (en) * 2015-06-30 2017-01-11 核工业北京地质研究院 Soil radon concentration data leveling correction method for uranium exploration
CN106526078A (en) * 2016-10-28 2017-03-22 核工业北京地质研究院 Radon gas-geogas combined measurement method for extracting deep uranium mineralization information
CN106932460A (en) * 2015-12-30 2017-07-07 核工业北京地质研究院 A kind of latent sandstone type uranium mineralization information identifying method
CN107976718A (en) * 2016-10-25 2018-05-01 核工业北京地质研究院 A kind of deep sandstone type uranium mineralization direct information exploration method
CN108008456A (en) * 2016-10-27 2018-05-08 核工业北京地质研究院 A kind of method for drawing a circle to approve mesothermal gold deposits deep three-dimensional emphasis U metallogeny Favourable Target Areas
CN108241166A (en) * 2016-12-26 2018-07-03 核工业北京地质研究院 A kind of activated carbon adsorption formula three-dimensional surveys radon method
CN109270588A (en) * 2018-09-30 2019-01-25 核工业北京地质研究院 A kind of granite type U-ore Mineralization In Depth information extracting method
CN109900768A (en) * 2017-12-07 2019-06-18 核工业北京地质研究院 A method of for extracting SOIL GAS medium and deep uranium mineralization information
CN112444890A (en) * 2020-11-06 2021-03-05 核工业北京地质研究院 Deep uranium ore two-dimensional radon gas difference detection method
CN113406723A (en) * 2021-06-07 2021-09-17 核工业北京地质研究院 Evaluation method for deep mineralization potential of volcanic rock type uranium ore
CN113406723B (en) * 2021-06-07 2024-04-26 核工业北京地质研究院 Evaluation method for deep ore forming potential of volcanic uranium ore

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101430387A (en) * 2007-11-06 2009-05-13 核工业北京地质研究院 Nano-scale uranium particulate detection method based on soil gaseous water and gaseous water collector
CN101477212A (en) * 2008-01-04 2009-07-08 核工业北京地质研究院 Instantaneous active carbon adsorption radon sampling apparatus and perambulation method
CN101676747A (en) * 2008-09-18 2010-03-24 核工业北京地质研究院 Low background earth atmosphere exploration method suitable for uranium resource exploration

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101430387A (en) * 2007-11-06 2009-05-13 核工业北京地质研究院 Nano-scale uranium particulate detection method based on soil gaseous water and gaseous water collector
CN101477212A (en) * 2008-01-04 2009-07-08 核工业北京地质研究院 Instantaneous active carbon adsorption radon sampling apparatus and perambulation method
CN101676747A (en) * 2008-09-18 2010-03-24 核工业北京地质研究院 Low background earth atmosphere exploration method suitable for uranium resource exploration

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
徐凤山: "找深部铀矿的地球物理-地球化学模式的探讨", 《铀矿地质》, vol. 6, no. 1, 1 January 1990 (1990-01-01) *

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CN103913780A (en) * 2014-03-18 2014-07-09 核工业北京地质研究院 Method for prospection of calcrete type uranium ore
CN103913781A (en) * 2014-03-18 2014-07-09 核工业北京地质研究院 Combined prospection method for predicting uranium ore body burial depth
CN103913781B (en) * 2014-03-18 2017-01-25 核工业北京地质研究院 Combined prospection method for predicting uranium ore body burial depth
CN104237964A (en) * 2014-08-14 2014-12-24 核工业北京地质研究院 Paleochannel type sandstone-type uranium ore deposit positioning method
CN104237964B (en) * 2014-08-14 2017-04-26 核工业北京地质研究院 Paleochannel type sandstone-type uranium ore deposit positioning method
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
CN104615843B (en) * 2014-11-28 2017-07-11 核工业北京地质研究院 A kind of Geophysical-chemical integrated approach for recognizing Blind volcanics type uranium mineralization information
CN104808255A (en) * 2015-04-30 2015-07-29 武汉光谷北斗控股集团有限公司 Fractal theory-based mineralization anomaly information mining method
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