CN105631137A - Leaching range monitoring method in in-situ leaching uranium mining process - Google Patents
Leaching range monitoring method in in-situ leaching uranium mining process Download PDFInfo
- Publication number
- CN105631137A CN105631137A CN201511016905.9A CN201511016905A CN105631137A CN 105631137 A CN105631137 A CN 105631137A CN 201511016905 A CN201511016905 A CN 201511016905A CN 105631137 A CN105631137 A CN 105631137A
- Authority
- CN
- China
- Prior art keywords
- model
- tracer
- leaching
- numerical
- tracer agent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Landscapes
- Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a leaching range monitoring method in an in-situ leaching uranium mining process. The monitoring method includes the steps that 1, a numerical model is established through computer numerical simulation software, wherein the steps of conducting model generalization, conducting model numeralization, establishing the numerical model, correcting the numerical model and designing a drill hole arrangement mode are included; 2, interwell tracer tests are conducted on a test unit and a production unit, wherein the steps of selecting a tracer agent, calculating feeding quantity of the tracer agent, feeding and sampling the tracer agent, conducting concentration analysis on the tracer agent, analyzing tracer agent test data and simulating numerical values are included. According to the monitoring method, an interwell tracer method is introduced to the leaching uranium mining process, a numerical value simulation technology is utilized, estimation, monitoring and predicting of the flow direction, the flow rate and the leaching range of a leaching solution are achieved through numerical value simulation of the flow direction, the flow rate and the diffusion range of a groundwater flow field and the tracer agent, accordingly in-situ leaching tests and drill hole arrangement in production are guided, consumption of raw materials is greatly lowered, production cost is saved, and dispersal of pollution to in-situ leaching mine is controlled.
Description
Technical field
The present invention relates to a kind of original place leaching (hereinafter referred to as ground leaching) and adopt soak molten leaching scope method with utilizing inter-well tracer test and computer numerical simulation monitoring in uranium.
Background technology
Ground-dipping uranium extraction test, produce in leaching solution flows to, flow velocity and molten leaching scope are all extremely important technical indicator, these indexs in the boring of well site development layout, determine perforation interval, adjustably leaching take out, reservoir quantity time be all must inclusive significant data. Conventional test, produce in these indexs all cannot Measurement accuracy or prediction, thus to a great extent the dipped journey in Shangdi also exists the wayward phenomenon of certain unchecked construction, waste of raw materials and molten leaching scope.
Summary of the invention
It is an object of the invention to provide molten leaching scope monitoring method in a kind of in-situ leaching uranium, it is for predicting, estimate molten leaching scope, instruct ground leaching bore arrangement mode, boring is taken out, reservoir quantity to regulate various places to soak, avoid the blindness wasting phenomenon in test, production to greatest extent, it is that leaching mine, ground reduces investment and production cost.
Realize the technical scheme of the object of the invention: molten leaching scope monitoring method in a kind of in-situ leaching uranium, it comprises the steps:
Step (1) sets up numerical model with Computer Numerical Simulation software, and it comprises following sub-step:
(1.1) model is generally changed;
The hydrogeological conditions of ground-dipping uranium extraction test, output zone is generally changed, namely the boundary property of waterbearing stratum reality, internal structure, penetrating quality, hydraulic characteristic and supply excretion concept is converted into the key model being convenient to carry out mathematics and physical simulation;
(1.2) model value;
The key model of step (1.1) is converted into the numerical model that can separate;
(1.3) numerical model is set up;
The numerical model of step (1.2) is carried out the modeling work of stress and strain model and data input, then logarithmic value model boundary condition sets;
(1.4) numerical model correction
After numerical model runs, result can have deviation with actual observation, and at this moment logarithmic value model parameter is modified, adjusted, to improve the degree of fitting of numerical model;
(1.5) design bore arrangement mode, set up test, production well site
According in the dipped journey in numerical model simulation and forecast result qualitative analysis ground taking out, note when ground water field Changing Pattern, design experiment, produce bore arrangement mode, perforation interval, set up test, production well site;
Step (2) carries out interwell tracer test at test, productive unit, and it comprises following sub-step:
(2.1) tracer agent is selected
Select one or more alcohol class tracer agents, for dropping into different liquid filling holes;
(2.2) tracer agent injected volume is calculated
The injected volume of each alcohol class tracer agent of the numerical model analog calculation utilizing step (1) to build up;
(2.3) tracer agent is thrown in
Mode thrown in by tracer agent is instantaneous input; Tracer agent drops into different liquid filling holes, returns to normal production afterwards;
(2.4) sample
The all fluid apertures of taking out in test region are thief hole, start sample time to be within 0.5��1 hour, get 1 sample, proper extension sample time after tracer concentration is stable;
(2.5) tracer concentration analysis
The analysis of alcohol class tracer agent adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class;
(2.6) tracer test data are analyzed
See that agent time, change in concentration calculate tracer agent diffusion rate, the derive hydraulic connection between each boring and stopping state according to tracer agent, take out with each boring in instructing test, producing, the adjustment of reservoir quantity and hole flushing operate;
(2.7) numerical simulation
By the numerical model that tracer test data importing has been built up, verification further, the degree of fitting improving numerical model, draw out the Spread scope of each spike alcohol, the Spread scope of simulation and forecast later stage spike alcohol, instructs next step well site developing and the layout of well site periphery spy hole with this simulation and forecast result.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, the key model by step (1.1) described in its step (1.2) is converted into the numerical model that can separate, and it adopts numerical simulation software to be GMS, VisualModflow, VisualGroundwater, PHREEQC, HST3D or TNTmips.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, the numerical model to step (1.2) described in its step (1.3) carries out the modeling work of stress and strain model and data input, and each borehole data of described data comprise, observation water bit data, boring take out/reservoir quantity data, injection reagent concentration, fluid reagent concentration, stratum osmotic coefficient.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, logarithmic value model parameter described in its step (1.4) is modified, is adjusted, the parameter of its amendment, adjustment comprises model boundary condition, stratum osmotic coefficient, simulation time, step-length, optimized by continuous parameter adjustment, make the numerical model analogue value progressively close to measured value; Numerical model degree of fitting is greater than 75%.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, the tracer agent that its step (2.1) adopts has methyl alcohol, ethanol, n-propyl alcohol, propyl carbinol or Virahol.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, tracer agent described in its step (2.3) drops into different liquid filling holes, its each corresponding taking out of input point is noted unit and should be distributed in well site four direction, substantially can control the distribution characteristics of well site vertical dispersivity.
Molten leaching scope monitoring method in a kind of in-situ leaching uranium as above, the analysis of the alcohol class tracer agent described in its step (2.5) adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class, first it utilize standard alcohol to draw the typical curve of selected spike alcohol, and sampling analysis result calculates thereafter the concentration of spike alcohol with reference to respective typical curve.
The effect of the present invention is: the present invention by introducing the method for inter-well tracer test in ground-dipping uranium extraction, utilize numerical simulation technology, to the flow direction of ground water field and tracer agent, the numerical simulation of flow velocity and Spread scope, reach and leaching solution is flowed to, the estimation of flow velocity and molten leaching scope, monitoring and prediction, and then instruct ground leaching test, in production, boring is arranged, regulate well site respectively to hole to take out, reservoir quantity, control molten leaching scope, greatly reduce raw-material consumption, save production cost, leaching mine, control ground contamination, a kind of novel method and new approaches are provided for ground-dipping uranium extraction.
Accompanying drawing explanation
Fig. 1 is methyl alcohol diffusion rate schematic diagram (in figure, speed unit is m/d);
Fig. 2 is methyl alcohol smeared cracking;
Fig. 3 is Virahol diffusion rate schematic diagram (in figure, speed unit is m/d);
Fig. 4 is Virahol smeared cracking.
Embodiment
Below in conjunction with the drawings and specific embodiments, molten leaching scope monitoring method in a kind of in-situ leaching uranium of the present invention is further described.
Embodiment 1
C10 exploiting field, uranium in Xinjiang mine, which employs molten leaching scope monitoring method in in-situ leaching uranium of the present invention, utilize VisualModflow software to establish C10 exploiting field numerical model, it is that tracer agent carries out interwell tracer test test at test, productive unit taking methyl alcohol. Specifically comprise the steps:
Step (1) sets up numerical model with Computer Numerical Simulation software, and it comprises 4 steps
(1.1) model is generally changed;
The hydrogeological conditions of ground-dipping uranium extraction test, output zone is carried out reasonably generalization, namely the boundary property of waterbearing stratum reality, internal structure, penetrating quality, hydraulic characteristic and supply excretion concept are converted into the key model being convenient to carry out mathematics and physical simulation
(1.2) model value;
The key model of step (1.1) is converted into the numerical model that can separate, and the numerical simulation software of employing is VisualModflow;
(1.3) numerical model is set up;
The numerical model of step (1.2) is carried out the modeling work of stress and strain model and data input, each borehole data of described data comprise, observation water bit data, boring take out/reservoir quantity data, inject reagent concentration, fluid reagent concentration, stratum osmotic coefficient; Logarithmic value model boundary condition sets again, according to the border of practical situation setting model, defines the final condition on each border;
(1.4) numerical model correction
After numerical model runs, result can have deviation with actual observation, and at this moment logarithmic value model parameter is modified, adjusted, to improve the degree of fitting of numerical model;
The parameter of main adjustment comprises model boundary condition, stratum osmotic coefficient, simulation time, step-length etc., is optimized by continuous parameter adjustment, makes pattern die analog values progressively close to measured value; Numerical model degree of fitting need to be greater than 75% just can reach the requirement instructed test, produce;
(1.5) design bore arrangement mode, set up test, production well site
According in the dipped journey in numerical model simulation and forecast result qualitative analysis ground taking out, note when ground water field Changing Pattern, design experiment, produce bore arrangement mode, perforation interval, set up test, production well site;
Step (2) carries out interwell tracer test at test, productive unit, and it comprises 5 steps
(2.1) tracer agent is selected
One or several alcohol class tracer agents are selected to drop into different liquid filling holes respectively; Tracer agent has methyl alcohol.
(2.2) tracer agent injected volume is calculated
The injected volume of each alcohol class tracer agent of the numerical model analog calculation utilizing step (1) to build up;
(2.3) tracer agent is thrown in
Mode thrown in by tracer agent is instantaneous input; Tracer agent is injected into well from well head by surge pump, returns to normal production afterwards; Each corresponding taking out of input point is noted unit and should be distributed in well site four direction, substantially can control the distribution characteristics of well site vertical dispersivity.
(2.4) sample
Test region all fluid apertures of taking out are thief hole, start sample time to be within 1 hour, get 1 sample, and after tracer concentration is stable, sample time can proper extension;
(2.5) tracer concentration analysis
The analysis of alcohol class tracer agent adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class; First utilize standard alcohol to draw the typical curve of selected spike alcohol, thereafter sampling analysis result is calculated with reference to respective typical curve the concentration of spike alcohol;
(2.6) tracer test data are analyzed
See that agent time, change in concentration calculate tracer agent diffusion rate, the derive hydraulic connection between each boring and stopping state according to tracer agent, take out with each boring in instructing test, producing, the adjustment of reservoir quantity and hole flushing operate;
(2.7) numerical simulation
By the numerical model that tracer test data importing has been built up, verification further, the degree of fitting improving numerical model, draw out the Spread scope of each spike alcohol, the Spread scope of simulation and forecast later stage spike alcohol, instructs next step well site developing and the layout of well site periphery spy hole with this simulation and forecast result.
Methyl alcohol is calculated as tracer agent injected volume as 50kg using this modeling. Being dropped into by 50kg methyl alcohol in 0002 hole and start test, test carries out 27 days altogether, and test data analyzer is as follows: Fig. 1 is methyl alcohol diffusion rate schematic diagram, and Fig. 2 is each hole methyl alcohol smeared cracking. Can find out that methyl alcohol diffusion rate 0102 hole and 0202 hole are more high than other holes by Fig. 1 and Fig. 2, and the diffusion rate in 0100 hole and 0200 hole and see agent concentration than apart from farther boring also little, this illustrates that the hydraulic connection in 0102 hole and 0202 hole and 0002 hole is significantly better than 0100 hole and 0200 hole, can infer that 0100 hole and 0200 hole and 0002 hole exist certain latch up phenomenon simultaneously, hole flushing should be carried out. Suggestion improves 0100 hole and 0200 hole and takes out liquid measure, and that reduces by 0102 hole and 0202 hole takes out liquid measure so that the leaching that note unit uranium is taken out in 0002 hole is more balanced.
By the numerical simulator that tracer test data importing has been built up, and with Knowledge Verification Model, final mask degree of fitting has brought up to 83.7%.
Proposed suggestion according to tracer test and numerical simulation result between trial period all to be adopted by manufacturer, so far C10 exploiting field is run good, leach liquor uranium concentration can reach 25mg/L, and later stage well site is opened up its spacing of new drilling and is adjusted to 28m, and exploiting field periphery spy hole acidity and uranium concentration are all within zone of reasonableness.
Embodiment 2
C10 exploiting field, uranium in Xinjiang mine, which employs molten leaching scope monitoring method in in-situ leaching uranium of the present invention, utilize VisualModflow software to establish C10 exploiting field numerical model, it is that tracer agent carries out interwell tracer test test at test, productive unit taking Virahol. Specifically comprise the steps:
Step (1) sets up numerical model with Computer Numerical Simulation software, and it comprises 4 steps
(1.1) model is generally changed;
The hydrogeological conditions of ground-dipping uranium extraction test, output zone is carried out reasonably generalization, namely the boundary property of waterbearing stratum reality, internal structure, penetrating quality, hydraulic characteristic and supply excretion concept are converted into the key model being convenient to carry out mathematics and physical simulation
(1.2) model value;
The key model of step (1.1) is converted into the numerical model that can separate, and the numerical simulation software of employing is VisualModflow;
(1.3) numerical model is set up;
The numerical model of step (1.2) is carried out the modeling work of stress and strain model and data input, each borehole data of described data comprise, observation water bit data, boring take out/reservoir quantity data, inject reagent concentration, fluid reagent concentration, stratum osmotic coefficient; Logarithmic value model boundary condition sets again, according to the border of practical situation setting model, defines the final condition on each border;
(1.4) numerical model correction
After numerical model runs, result can have deviation with actual observation, and at this moment logarithmic value model parameter is modified, adjusted, to improve the degree of fitting of numerical model;
The parameter of main adjustment comprises model boundary condition, stratum osmotic coefficient, simulation time, step-length etc., is optimized by continuous parameter adjustment, makes pattern die analog values progressively close to measured value; Numerical model degree of fitting reaches 78.35%;
(1.5) design bore arrangement mode, set up test, production well site
According in the dipped journey in numerical model simulation and forecast result qualitative analysis ground taking out, note when ground water field Changing Pattern, design experiment, produce bore arrangement mode, perforation interval, set up test, production well site;
Step (2) carries out interwell tracer test at test, productive unit, and it comprises 5 steps
(2.1) tracer agent is selected
One or several alcohol class tracer agents are selected to drop into different liquid filling holes respectively; Tracer agent has Virahol.
(2.2) tracer agent injected volume is calculated
The injected volume of each alcohol class tracer agent of the numerical model analog calculation utilizing step (1) to build up;
(2.3) tracer agent is thrown in
Mode thrown in by tracer agent is instantaneous input; Tracer agent is injected into well from well head by surge pump, returns to normal production afterwards; Each corresponding taking out of input point is noted unit and should be distributed in well site four direction, substantially can control the distribution characteristics of well site vertical dispersivity.
(2.4) sample
Test region all fluid apertures of taking out are thief hole, start sample time to be within 1 hour, get 1 sample, and after tracer concentration is stable, sample time can proper extension;
(2.5) tracer concentration analysis
The analysis of alcohol class tracer agent adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class; First utilize standard alcohol to draw the typical curve of selected spike alcohol, thereafter sampling analysis result is calculated with reference to respective typical curve the concentration of spike alcohol;
(2.6) tracer test data are analyzed
See that agent time, change in concentration calculate tracer agent diffusion rate, the derive hydraulic connection between each boring and stopping state according to tracer agent, take out with each boring in instructing test, producing, the adjustment of reservoir quantity and hole flushing operate;
(2.7) numerical simulation
By the numerical model that tracer test data importing has been built up, verification further, the degree of fitting improving numerical model, draw out the Spread scope of each spike alcohol, the Spread scope of simulation and forecast later stage spike alcohol, instructs next step well site developing and the layout of well site periphery spy hole with this simulation and forecast result.
Virahol is calculated as tracer agent injected volume as 50kg using this modeling. Being dropped into by 50kg Virahol in 0302 hole and start test, test carries out 27 days altogether, and test data analyzer is as follows: Fig. 3 is Virahol diffusion rate schematic diagram, and Fig. 4 is Virahol smeared cracking. Can finding out that the disperse of Virahol is respectively to there is bigger difference by Fig. 3 and Fig. 4, it is a lot of that 0302 hole exceeds other boring of periphery to 0102 hole and 0502 hole diffusion rate. From seeing tracer agent agent concentration, 0502 hole production bore isopropyl alcohol concentration exceeds other boring several times, and 0102 hole peak concentration is 36.5 �� L/L, and 0502 hole peak concentration reaches 235.3 �� L/L, and between trial period, liquid measure is on average taken out in 0102 hole is 2.75m3/ h, it is 1.92m that liquid measure is on average taken out in 0502 hole3/ h, therefore isopropyl alcohol concentration height is not because 0502 hole is taken out caused by liquid measure height, illustrates that hole hydraulic connection is taken out in 0302 hole and 0102 hole and these 2,0502 hole close, is better than other boring, and wherein 0302 hole, hole 0502 hydraulic connection is best. 0100 hole and 0500 hole are carried out hole flushing by suggestion, and that suitably heightens 0100 hole and 0500 hole in production process takes out liquid measure, and that reduces by 0102 hole and 0502 production bore takes out liquid measure, makes the leaching of uranium more balanced.
Claims (7)
1. molten leaching scope monitoring method in an in-situ leaching uranium, it is characterised in that: the method comprises the steps:
Step (1) sets up numerical model with Computer Numerical Simulation software, and it comprises following sub-step:
(1.1) model is generally changed
The hydrogeological conditions of ground-dipping uranium extraction test, output zone is generally changed, namely the boundary property of waterbearing stratum reality, internal structure, penetrating quality, hydraulic characteristic and supply excretion concept is converted into the key model being convenient to carry out mathematics and physical simulation;
(1.2) model value
The key model of step (1.1) is converted into the numerical model that can separate;
(1.3) numerical model is set up
The numerical model of step (1.2) is carried out the modeling work of stress and strain model and data input, then logarithmic value model boundary condition sets;
(1.4) numerical model correction
After numerical model runs, result can have deviation with actual observation, and at this moment logarithmic value model parameter is modified, adjusted, to improve the degree of fitting of numerical model;
(1.5) design bore arrangement mode, set up test, production well site
According in the dipped journey in numerical model simulation and forecast result qualitative analysis ground taking out, note when ground water field Changing Pattern, design experiment, produce bore arrangement mode, perforation interval, set up test, production well site;
Step (2) carries out interwell tracer test at test, productive unit, and it comprises following sub-step:
(2.1) tracer agent is selected
Select one or more alcohol class tracer agents, for dropping into different liquid filling holes;
(2.2) tracer agent injected volume is calculated
The injected volume of each alcohol class tracer agent of the numerical model analog calculation utilizing step (1) to build up;
(2.3) tracer agent is thrown in
Mode thrown in by tracer agent is instantaneous input; Tracer agent drops into different liquid filling holes, returns to normal production afterwards;
(2.4) sample
The all fluid apertures of taking out in test region are thief hole, start sample time to be within 0.5��1 hour, get 1 sample, proper extension sample time after tracer concentration is stable;
(2.5) tracer concentration analysis
The analysis of alcohol class tracer agent adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class;
(2.6) tracer test data are analyzed
See that agent time, change in concentration calculate tracer agent diffusion rate, the derive hydraulic connection between each boring and stopping state according to tracer agent, take out with each boring in instructing test, producing, the adjustment of reservoir quantity and hole flushing operate;
(2.7) numerical simulation
By the numerical model that tracer test data importing has been built up, verification further, the degree of fitting improving numerical model, draw out the Spread scope of each spike alcohol, the Spread scope of simulation and forecast later stage spike alcohol, instructs next step well site developing and the layout of well site periphery spy hole with this simulation and forecast result.
2. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterized in that: the key model by step (1.1) described in step (1.2) is converted into the numerical model that can separate, it adopts numerical simulation software to be GMS, VisualModflow, VisualGroundwater, PHREEQC, HST3D or TNTmips.
3. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterized in that: the numerical model to step (1.2) described in step (1.3) carries out the modeling work of stress and strain model and data input, each borehole data of described data comprise, observation water bit data, boring take out/reservoir quantity data, injection reagent concentration, fluid reagent concentration, stratum osmotic coefficient.
4. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterized in that: the logarithmic value model parameter described in step (1.4) is modified, adjusted, the parameter of its amendment, adjustment comprises model boundary condition, stratum osmotic coefficient, simulation time, step-length, optimized by continuous parameter adjustment, make the numerical model analogue value progressively close to measured value; Numerical model degree of fitting is greater than 75%.
5. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterised in that: the tracer agent that step (2.1) adopts has methyl alcohol, ethanol, n-propyl alcohol, propyl carbinol or Virahol.
6. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterized in that: the tracer agent described in step (2.3) drops into different liquid filling holes, its each corresponding taking out of input point is noted unit and should be distributed in well site four direction, substantially can control the distribution characteristics of well site vertical dispersivity.
7. molten leaching scope monitoring method in a kind of in-situ leaching uranium according to claim 1, it is characterized in that: the analysis of the alcohol class tracer agent described in step (2.5) adopts gas chromatograph detection to analyze, the disposable analytical results that can obtain multiple spike alcohol class, first it utilize standard alcohol to draw the typical curve of selected spike alcohol, and sampling analysis result calculates thereafter the concentration of spike alcohol with reference to respective typical curve.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201511016905.9A CN105631137A (en) | 2015-12-29 | 2015-12-29 | Leaching range monitoring method in in-situ leaching uranium mining process |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201511016905.9A CN105631137A (en) | 2015-12-29 | 2015-12-29 | Leaching range monitoring method in in-situ leaching uranium mining process |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105631137A true CN105631137A (en) | 2016-06-01 |
Family
ID=56046066
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201511016905.9A Pending CN105631137A (en) | 2015-12-29 | 2015-12-29 | Leaching range monitoring method in in-situ leaching uranium mining process |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105631137A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108460223A (en) * | 2018-03-19 | 2018-08-28 | 核工业北京化工冶金研究院 | A kind of quantitative analysis method for ground-dipping uranium extraction flow field |
CN111250526A (en) * | 2019-12-23 | 2020-06-09 | 北京建工环境修复股份有限公司 | High-pressure jet grouting injection in-situ repair system and method |
CN112981149A (en) * | 2021-02-04 | 2021-06-18 | 核工业北京化工冶金研究院 | Control method and system for pumping and injecting balance of mining area of in-situ leaching uranium mining mine |
CN114029324A (en) * | 2021-11-08 | 2022-02-11 | 核工业北京化工冶金研究院 | Method for repairing local suction injection of fixed ring layer |
CN115688396A (en) * | 2022-10-21 | 2023-02-03 | 中核第四研究设计工程有限公司 | Extraction-injection ratio determining method for in-situ leaching uranium extraction well site extraction-injection mode |
CN115793090A (en) * | 2023-02-10 | 2023-03-14 | 肥城新查庄地质勘查有限公司 | Tracing test method for detecting drill hole communication |
-
2015
- 2015-12-29 CN CN201511016905.9A patent/CN105631137A/en active Pending
Non-Patent Citations (2)
Title |
---|
利广杰等: "基于Visual MODFLOW的地下水数值模拟在地浸采铀中的应用", 《铀矿冶》 * |
王晓东等: "井间示踪在新疆某地浸采铀中的实验研究", 《铀矿冶》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108460223A (en) * | 2018-03-19 | 2018-08-28 | 核工业北京化工冶金研究院 | A kind of quantitative analysis method for ground-dipping uranium extraction flow field |
CN108460223B (en) * | 2018-03-19 | 2021-10-22 | 核工业北京化工冶金研究院 | Quantitative analysis method for in-situ leaching uranium mining flow field |
CN111250526A (en) * | 2019-12-23 | 2020-06-09 | 北京建工环境修复股份有限公司 | High-pressure jet grouting injection in-situ repair system and method |
CN111250526B (en) * | 2019-12-23 | 2022-05-13 | 北京建工环境修复股份有限公司 | High-pressure jet grouting injection in-situ repair system and method |
CN112981149A (en) * | 2021-02-04 | 2021-06-18 | 核工业北京化工冶金研究院 | Control method and system for pumping and injecting balance of mining area of in-situ leaching uranium mining mine |
CN114029324A (en) * | 2021-11-08 | 2022-02-11 | 核工业北京化工冶金研究院 | Method for repairing local suction injection of fixed ring layer |
CN115688396A (en) * | 2022-10-21 | 2023-02-03 | 中核第四研究设计工程有限公司 | Extraction-injection ratio determining method for in-situ leaching uranium extraction well site extraction-injection mode |
CN115688396B (en) * | 2022-10-21 | 2024-02-23 | 中核第四研究设计工程有限公司 | Extraction-injection ratio determination method for in-situ leaching uranium mining well site extraction-injection mode |
CN115793090A (en) * | 2023-02-10 | 2023-03-14 | 肥城新查庄地质勘查有限公司 | Tracing test method for detecting drill hole communication |
CN115793090B (en) * | 2023-02-10 | 2023-05-05 | 肥城新查庄地质勘查有限公司 | Trace test method for checking borehole communication |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105631137A (en) | Leaching range monitoring method in in-situ leaching uranium mining process | |
CN106837297B (en) | Method for identifying connectivity among wells and predicting oil-water dynamic state | |
WO2016078165A1 (en) | Simulation apparatus for natural gas hydrate formation drilling | |
RU2011122475A (en) | METHODS AND DEVICE FOR PLANNING AND DYNAMIC UPDATES OF SAMPLING OPERATIONS DURING DRILLING IN THE UNDERGROUND | |
CN109064864B (en) | Device for simulating recharging path of geothermal tail water and application method of device | |
CN106437644A (en) | Large bottom water sandstone oil reservoir development physical simulation experiment device and working method thereof | |
CN104060985B (en) | A kind of stratified deposit profile control and water plugging blocking agent penetration depth method of testing and system | |
CN205654336U (en) | Fractured reservoir complex operating condition simulation experiment device | |
CN111254912B (en) | Anchoring and grouting engineering management system based on geological logging big data | |
CN104612658A (en) | Well test analysis control system and method used for horizontal well subsection liquid producing identification | |
KR101773868B1 (en) | Trace test system and method in an unsaturated zone aquifer | |
CN110656915B (en) | Shale gas multi-section fracturing horizontal well multi-working-system productivity prediction method | |
CN109736788A (en) | A kind of experimental method for differentiating chemical flooding leading edge and involving state | |
CN101240706B (en) | Annular space logging process of neutron gamma-ray logging instrument for well gadolinium-injecting labelling | |
CN101800000B (en) | Multi-angle horizontal branch well natural gas exploitation simulator | |
CN109284868A (en) | A kind of petroleum production engineering scheme generation method and device | |
CN106779229B (en) | Prediction method for water plugging potential of high-water-cut horizontal well | |
CN107817191A (en) | A kind of method of coal bed gas extraction validity check | |
Neville et al. | Modeling multiaquifer wells with MODFLOW | |
CN207660565U (en) | A kind of directional well drilling liquid takes rock efficiency rating experimental provision | |
CN102073772A (en) | MDT pressure value test simulation method | |
CN111860842B (en) | Prediction method for horizontal displacement of existing subway tunnel adjacent to foundation pit engineering | |
CN103437745A (en) | Experimental device for simulating influence of polymer on reservoir sand production and sand control effect and sand filling model | |
CN201517369U (en) | Multi-angle horizontal branch well natural gas exploitation simulator | |
CN111950111A (en) | Dynamic analysis method for carbonate reservoir suitable for bottom opening |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160601 |