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CN110851991A - Underground water flow numerical simulation method - Google Patents

Underground water flow numerical simulation method Download PDF

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CN110851991A
CN110851991A CN201911125359.0A CN201911125359A CN110851991A CN 110851991 A CN110851991 A CN 110851991A CN 201911125359 A CN201911125359 A CN 201911125359A CN 110851991 A CN110851991 A CN 110851991A
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model
underground water
hydrogeological
aquifer
engineering
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CN110851991B (en
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王文旭
陈霜
狄彦宁
田栋栋
李录峰
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CNNC 208 BATTALION
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Abstract

The invention relates to the technical field of geological exploration, and particularly discloses a groundwater flow numerical simulation method. The method comprises the following steps: 1. collecting basic data, and establishing a hydrogeology model and an engineering geology model; 2. carrying out underground water level monitoring, and identifying and verifying the hydrogeological model by using observation data; 3. collecting rock mechanics analysis samples, and correcting various parameters of the engineering geological model; 4. carrying out simulation and prediction on the influence of coal seam mining on the stability of the overlying rock mass; 5. and comprehensively predicting the underground water level change of the aquifer by using the engineering geological model. The method can comprehensively consider the situation that hydrogeological conditions are changed due to the fact that the bottom plate of the overlying aquifer is damaged in the coal mining process; the parameter change of the hydrogeological model after annual mining is adjusted by combining the development condition of three zones after coal mining, the actual condition of the influence of coal mining on the overlying aquifer is more consistent, and the simulation analysis is more accurate.

Description

Underground water flow numerical simulation method
Technical Field
The invention belongs to the technical field of geological exploration, and particularly relates to a groundwater flow numerical simulation method.
Background
In the coal mine excavated underground by using the underground method, the underground water level of an overlying water-filled aquifer is directly reduced due to the influence of underground drainage engineering; on the other hand, the roof after the roadway is mined out collapses to enable the water diversion crack of the upper rock mass to develop, and the upper water-bearing layer is covered in the communication, so that the discharge amount of the upper water-bearing layer is further increased. Due to the similarity of coal, oil gas and sandstone-type uranium ore mineralization environments, coal mines, oil gas and uranium ore occurrence and production space horizons in a plurality of basins are mutually superposed, for example, in an Ordos basin, a uranium ore layer directly covers a main mining coal layer, and a space lattice frame of 'coal under uranium' is formed. In the coal mining process, the underground water level of an overlying aquifer is reduced due to drainage and roof caving, and further the mining of the overlying oil gas or sandstone type uranium mine and the water environment of the region are affected adversely.
In the prior art, only the hydrogeological parameters and the path-compensating drainage conditions of the aquifer are considered, and the method for carrying out the numerical simulation calculation of the underground water flow by using the fixed hydrogeological model ignores the drainage increase and the change of the hydrogeological conditions caused by the stability damage of the overlying rock mass in coal seam mining.
Disclosure of Invention
The invention aims to provide a numerical simulation method of underground water flow, which solves the problem of simulation prediction of the influence of coal mining on an overlying aquifer under the condition that the existing coal seam is buried deeply and is mined by using a well, the overlying aquifer of the coal seam is the main water source for filling coal mines, and the top of a goaf is managed by a caving method after the coal mining is finished.
The technical scheme of the invention is as follows: a numerical simulation method for underground water flow specifically comprises the following steps:
step 1, collecting basic data, and establishing a hydrogeology model and an engineering geology model;
step 2, carrying out underground water level monitoring, and identifying and verifying the hydrogeological model by using observation data;
step 3, collecting rock mechanical analysis samples, and correcting various parameters of the engineering geological model;
step 4, carrying out simulation prediction of influences of coal seam mining on the stability of the overlying rock mass;
and 5, comprehensively predicting the underground water level change of the aquifer by using the engineering geological model.
The step 1 specifically comprises:
step 1.1, collecting geological, hydrogeological and engineering geological data of a region to be researched;
step 1.2, determining hydrogeology and engineering geological conditions;
step 1.3, constructing a hydrogeology and engineering geology model;
step 1.3.1, constructing a hydrogeological model by using GMS;
step 1.3.2, accurately describing the area to be researched by utilizing Midas, establishing an engineering geological model, and performing simulation calculation by utilizing Flac 3D.
The step 2 specifically comprises:
step 2.1, utilizing the existing aquifer observation hole to dynamically monitor the underground water level and utilizing the obtained underground water level observation data;
2.2, identifying the hydrogeological model by using drainage and drainage quantity and aquifer observation hole monitoring data in the coal mine experimental mining working stage;
and 2.3, performing hydrogeological model verification by using the water discharge after the coal mine stops producing in the later period and the monitoring data of the underground water level of the aquifer.
The step 3 specifically comprises: collecting core samples such as a coal seam roof, a water-bearing layer and the like of a region to be researched, analyzing engineering mechanical parameters such as density, compressive strength, elastic modulus, Poisson's ratio and the like of the core samples, and correcting the engineering geological model by using the measured parameters.
The step 4 specifically comprises: according to coal mining planning, carrying out rock mass mechanical stability simulation by using the established engineering mechanical model, and predicting the influence data of the coal seam roof collapse on the stability of the overlying rock mass; and calculating development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone after the coal mine goaf is formed, and obtaining influence data of coal seam roof caving on hydrogeological parameters and path-compensating drainage conditions of the overlying aquifer.
The step 5 specifically comprises:
step 5.1, utilizing development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone simulated and predicted by rock mechanical stability to correct a hydrogeological model in the mining process year by year;
step 5.2, adjusting the hydrogeological parameters of the aquifer and the variation of the path-supplementing drainage conditions after the coal mine is mined out in each year;
and 5.3, forecasting the change data of the underground water level of the overlying aquifer after the coal mining is carried out for a plurality of years by utilizing the hydrological model parameters.
The concrete steps of determining hydrogeological and engineering geological conditions in the step 1.2 are as follows: and determining the burial depth, the distribution rule and the lithology characteristics of the coal mine layer and the uranium mine aquifer, and the hydrogeology and engineering geological conditions of all the layers.
The step 1.3.1 of constructing the hydrogeological model by using GMS specifically comprises the following steps: and carrying out parameter partitioning on the aquifer, giving boundary conditions, determining the path-filling and drainage conditions, and generalizing the hydrogeological model.
The invention has the following remarkable effects: the underground water flow numerical simulation method can comprehensively consider the situation that the hydrogeological condition changes due to the damage of the bottom plate of an overlying aquifer in the coal mining process from two aspects of the hydrogeological condition and the engineering geological condition; the parameter change of the hydrogeological model after annual mining is adjusted by combining the development condition of three zones after coal mining, the actual condition of the influence of coal mining on the overlying aquifer is more consistent, and the simulation analysis is more accurate.
Drawings
Fig. 1 is a schematic flow chart of a method for simulating a groundwater flow value according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
As shown in fig. 1, a method for simulating a groundwater flow value specifically includes the following steps:
step 1, collecting basic data, and establishing a hydrogeology model and an engineering geology model;
step 1.1, collecting geological, hydrogeological and engineering geological data of a region to be researched;
step 1.2, determining hydrogeology and engineering geological conditions;
determining the burial depth, the distribution rule and the lithology characteristics of a coal mine layer and a uranium mine aquifer and hydrogeology and engineering geological conditions of all layers;
step 1.3, constructing a hydrogeology and engineering geology model;
step 1.3.1, constructing a hydrogeological model by using GMS;
carrying out parameter partition on the aquifer, giving boundary conditions, determining path compensation and drainage conditions, and generalizing the hydrogeological model;
step 1.3.2, accurately describing a region to be researched by utilizing Midas, establishing an engineering geological model, and performing simulation calculation by utilizing Flac 3D;
step 2, carrying out underground water level monitoring, and identifying and verifying the hydrogeological model by using observation data;
step 2.1, utilizing the existing aquifer observation hole to dynamically monitor the underground water level and utilizing the obtained underground water level observation data;
2.2, identifying the hydrogeological model by using drainage and drainage quantity and aquifer observation hole monitoring data in the coal mine experimental mining working stage;
2.3, performing hydrogeological model verification by using the water discharge after the coal mine stops producing in the later period and the monitoring data of the underground water level of the aquifer;
step 3, collecting rock mechanical analysis samples, and correcting various parameters of the engineering geological model;
collecting core samples such as a coal seam roof, a water-bearing layer and the like of a region to be researched, analyzing engineering mechanical parameters such as density, compressive strength, elastic modulus, Poisson's ratio and the like of the core samples, and correcting an engineering geological model by using the measured parameters;
step 4, carrying out simulation prediction of influences of coal seam mining on the stability of the overlying rock mass;
according to coal mining planning, carrying out rock mass mechanical stability simulation by using the established engineering mechanical model, and predicting the influence data of the coal seam roof collapse on the stability of the overlying rock mass; calculating development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone after the coal mine goaf is formed, and obtaining influence data of coal seam roof caving on hydrogeological parameters and path-compensating drainage conditions of an overlying aquifer;
step 5, comprehensively predicting the groundwater level change of the aquifer by using the engineering geological model;
step 5.1, utilizing development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone simulated and predicted by rock mechanical stability to correct a hydrogeological model in the mining process year by year;
step 5.2, adjusting the hydrogeological parameters of the aquifer and the variation of the path-supplementing drainage conditions after the coal mine is mined out in each year;
and 5.3, forecasting the change data of the underground water level of the overlying aquifer after the coal mining is carried out for a plurality of years by utilizing the hydrological model parameters.

Claims (8)

1. A groundwater flow numerical simulation method is characterized in that: the method specifically comprises the following steps:
step 1, collecting basic data, and establishing a hydrogeology model and an engineering geology model;
step 2, carrying out underground water level monitoring, and identifying and verifying the hydrogeological model by using observation data;
step 3, collecting rock mechanical analysis samples, and correcting various parameters of the engineering geological model;
step 4, carrying out simulation prediction of influences of coal seam mining on the stability of the overlying rock mass;
and 5, comprehensively predicting the underground water level change of the aquifer by using the engineering geological model.
2. A method for numerical simulation of an underground water flow according to claim 1, characterized in that: the step 1 specifically comprises:
step 1.1, collecting geological, hydrogeological and engineering geological data of a region to be researched;
step 1.2, determining hydrogeology and engineering geological conditions;
step 1.3, constructing a hydrogeology and engineering geology model;
step 1.3.1, constructing a hydrogeological model by using GMS;
step 1.3.2, accurately describing the area to be researched by utilizing Midas, establishing an engineering geological model, and performing simulation calculation by utilizing Flac 3D.
3. A method for numerical simulation of an underground water flow according to claim 1, characterized in that: the step 2 specifically comprises:
step 2.1, utilizing the existing aquifer observation hole to dynamically monitor the underground water level and utilizing the obtained underground water level observation data;
2.2, identifying the hydrogeological model by using drainage and drainage quantity and aquifer observation hole monitoring data in the coal mine experimental mining working stage;
and 2.3, performing hydrogeological model verification by using the water discharge after the coal mine stops producing in the later period and the monitoring data of the underground water level of the aquifer.
4. A method for numerical simulation of an underground water flow according to claim 1, characterized in that: the step 3 specifically comprises: collecting core samples such as a coal seam roof, a water-bearing layer and the like of a region to be researched, analyzing engineering mechanical parameters such as density, compressive strength, elastic modulus, Poisson's ratio and the like of the core samples, and correcting the engineering geological model by using the measured parameters.
5. A method for numerical simulation of an underground water flow according to claim 1, characterized in that: the step 4 specifically comprises: according to coal mining planning, carrying out rock mass mechanical stability simulation by using the established engineering mechanical model, and predicting the influence data of the coal seam roof collapse on the stability of the overlying rock mass; and calculating development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone after the coal mine goaf is formed, and obtaining influence data of coal seam roof caving on hydrogeological parameters and path-compensating drainage conditions of the overlying aquifer.
6. A method for numerical simulation of an underground water flow according to claim 1, characterized in that: the step 5 specifically comprises:
step 5.1, utilizing development characteristics and development range data of a caving zone, a fissure zone and a bending subsidence zone simulated and predicted by rock mechanical stability to correct a hydrogeological model in the mining process year by year;
step 5.2, adjusting the hydrogeological parameters of the aquifer and the variation of the path-supplementing drainage conditions after the coal mine is mined out in each year;
and 5.3, forecasting the change data of the underground water level of the overlying aquifer after the coal mining is carried out for a plurality of years by utilizing the hydrological model parameters.
7. A method for numerical simulation of an underground water flow according to claim 2, characterized in that: the concrete steps of determining hydrogeological and engineering geological conditions in the step 1.2 are as follows: and determining the burial depth, the distribution rule and the lithology characteristics of the coal mine layer and the uranium mine aquifer, and the hydrogeology and engineering geological conditions of all the layers.
8. A method for numerical simulation of an underground water flow according to claim 2, characterized in that: the step 1.3.1 of constructing the hydrogeological model by using GMS specifically comprises the following steps: and carrying out parameter partitioning on the aquifer, giving boundary conditions, determining the path-filling and drainage conditions, and generalizing the hydrogeological model.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113255164A (en) * 2021-06-24 2021-08-13 南京大学 Underground water flow-water quality coupling simulation method for coal mine under mining disturbance condition
CN113484210A (en) * 2021-05-28 2021-10-08 河海大学 On-site scale test determination method for dispersity of strongly weathered layer
CN114357750A (en) * 2021-12-24 2022-04-15 鞍钢集团矿业有限公司 A method for evaluating water filling state of goaf
CN114676545A (en) * 2021-11-19 2022-06-28 天津科技大学 A method for analyzing the effect of groundwater pressure recovery scheme based on GMS
CN118088187A (en) * 2024-02-27 2024-05-28 中核第四研究设计工程有限公司 Method and device for determining avoidance distance in coordinated mining of uranium-coal heterogeneous ore deposits
RU2837032C1 (en) * 2024-07-25 2025-03-25 Акционерная Компания "АЛРОСА" (публичное акционерное общество) (АК "АЛРОСА" (ПАО)) Method of recycling industrial effluents of enterprise in cryolithozone conditions

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794720A (en) * 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US20030078901A1 (en) * 2001-10-22 2003-04-24 Coppola Emery J. Neural network based predication and optimization for groundwater / surface water system
US6782321B1 (en) * 2001-08-24 2004-08-24 Jacqueline C. Burton Method for performing environmental site characterization
CN101660427A (en) * 2009-05-18 2010-03-03 中国矿业大学(北京) Three-chart two-prediction method for quantitative evaluation and prediction of coal-bed top-plate water burst (inrush) conditions
CN102156779A (en) * 2011-04-13 2011-08-17 北京石油化工学院 Subsurface flow simulating and predictive analysis method
CN105427376A (en) * 2015-10-28 2016-03-23 中国矿业大学(北京) Three-dimensional dynamic visualization method of water inrush of coal seam roof
CN106501871A (en) * 2016-09-14 2017-03-15 核工业二〇八大队 A kind of paleo-channel type uranium ore detection method
CN107480349A (en) * 2017-07-26 2017-12-15 中国铁路总公司 Surface subsidence Forecasting Methodology along high ferro based on three-dimensional geological model and back analysis
WO2018152468A1 (en) * 2017-02-20 2018-08-23 Conocophillips Company Rock mechanical properties from drill cuttings
CN108915667A (en) * 2018-06-27 2018-11-30 中煤科工集团西安研究院有限公司 Based on infiltration coefficient with the method for porecasting water upwelling amount of mine well of separate zone production dynamic change
CN109709155A (en) * 2018-12-28 2019-05-03 核工业二0八大队 A method of using apparent resistance log QUANTITATIVE DISCRIMINATION OF SEDIMENTARY FACIES
CN109871648A (en) * 2019-03-11 2019-06-11 山东科技大学 Construction method of three-dimensional visual dynamic monitoring structural model of groundwater resources
CN110163416A (en) * 2019-04-23 2019-08-23 水利部牧区水利科学研究所 A kind of groundwater management method and device

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794720A (en) * 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US6782321B1 (en) * 2001-08-24 2004-08-24 Jacqueline C. Burton Method for performing environmental site characterization
US20030078901A1 (en) * 2001-10-22 2003-04-24 Coppola Emery J. Neural network based predication and optimization for groundwater / surface water system
CN101660427A (en) * 2009-05-18 2010-03-03 中国矿业大学(北京) Three-chart two-prediction method for quantitative evaluation and prediction of coal-bed top-plate water burst (inrush) conditions
CN102156779A (en) * 2011-04-13 2011-08-17 北京石油化工学院 Subsurface flow simulating and predictive analysis method
CN105427376A (en) * 2015-10-28 2016-03-23 中国矿业大学(北京) Three-dimensional dynamic visualization method of water inrush of coal seam roof
CN106501871A (en) * 2016-09-14 2017-03-15 核工业二〇八大队 A kind of paleo-channel type uranium ore detection method
WO2018152468A1 (en) * 2017-02-20 2018-08-23 Conocophillips Company Rock mechanical properties from drill cuttings
CN107480349A (en) * 2017-07-26 2017-12-15 中国铁路总公司 Surface subsidence Forecasting Methodology along high ferro based on three-dimensional geological model and back analysis
CN108915667A (en) * 2018-06-27 2018-11-30 中煤科工集团西安研究院有限公司 Based on infiltration coefficient with the method for porecasting water upwelling amount of mine well of separate zone production dynamic change
CN109709155A (en) * 2018-12-28 2019-05-03 核工业二0八大队 A method of using apparent resistance log QUANTITATIVE DISCRIMINATION OF SEDIMENTARY FACIES
CN109871648A (en) * 2019-03-11 2019-06-11 山东科技大学 Construction method of three-dimensional visual dynamic monitoring structural model of groundwater resources
CN110163416A (en) * 2019-04-23 2019-08-23 水利部牧区水利科学研究所 A kind of groundwater management method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LU LI: "Distributions of current and chlorinity in the Chenhang Reservoir in the case of brackish water in-taking", pages 3088 - 3092 *
狄彦宁 等: "纳岭沟地区煤矿开采对铀矿含水层地下水位影响的模拟研究", pages 133 - 138 *
程勤波 等: "裂隙水流运动的入渗试验及数值模拟研究", pages 7 - 14 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113484210A (en) * 2021-05-28 2021-10-08 河海大学 On-site scale test determination method for dispersity of strongly weathered layer
CN113484210B (en) * 2021-05-28 2022-11-18 河海大学 A Field Scale Test Method for Diffusion of Strongly Weathered Layers
CN113255164A (en) * 2021-06-24 2021-08-13 南京大学 Underground water flow-water quality coupling simulation method for coal mine under mining disturbance condition
CN113255164B (en) * 2021-06-24 2023-09-22 南京大学 Underground water flow-water quality coupling simulation method for coal mine under mining disturbance condition
CN114676545A (en) * 2021-11-19 2022-06-28 天津科技大学 A method for analyzing the effect of groundwater pressure recovery scheme based on GMS
CN114357750A (en) * 2021-12-24 2022-04-15 鞍钢集团矿业有限公司 A method for evaluating water filling state of goaf
CN114357750B (en) * 2021-12-24 2024-09-17 鞍钢集团矿业有限公司 A method for evaluating water filling status in goaf
CN118088187A (en) * 2024-02-27 2024-05-28 中核第四研究设计工程有限公司 Method and device for determining avoidance distance in coordinated mining of uranium-coal heterogeneous ore deposits
RU2837032C1 (en) * 2024-07-25 2025-03-25 Акционерная Компания "АЛРОСА" (публичное акционерное общество) (АК "АЛРОСА" (ПАО)) Method of recycling industrial effluents of enterprise in cryolithozone conditions

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