CN108387948B - Method and device for positioning water danger source area of coal seam floor - Google Patents
Method and device for positioning water danger source area of coal seam floor Download PDFInfo
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- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract
The invention provides a method and a device for positioning a water hazard zone of a coal seam floor, and relates to the technical field of mine water hazard prevention and treatment, wherein the method comprises the following steps: acquiring target attribute data in a detection area, wherein the target attribute data at least comprises one of the following data: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor; calculating a distribution field of target attribute data in the detection area based on the target attribute data; and determining a water danger source area in the detection area according to the distribution field. The invention solves the technical problem that the hidden water danger source of the coal seam floor cannot be detected in the prior art.
Description
Technical Field
The invention relates to the technical field of mine control, in particular to a method and a device for positioning a water danger source area of a coal seam floor.
Background
Water damage of coal mines in China frequently causes hundreds of people to die every year, wherein the water damage with the largest water burst amount, the fastest flooding well and the most serious disaster degree is caused by hidden water danger sources of coal seam floors.
The hidden subsidence columns of the coal seam bottom plate belong to a hidden water danger source, a plurality of coal mines which are subjected to water damage due to the hidden subsidence columns of the coal seam bottom plate are provided, for example, a Xuzhou mining area Qingshan spring coal mine and a three river point coal mine, a well \38473miningarea three mines, an Anyang mining area copper smelting coal mine, a duke mining area Li seal coal mine, a Huqiu mining area Sanfu coal mine, a Kai 28390mining area model each Zhuang coal mine, a Fenxi mining area three education coal mine, a Feicheng mining area Cao coal mine, an Anli mining area Ningshan coal mine, a Yuzhou mining area Beam north coal mine, a coal mine with huge Tokyo coal mine, a Huqiu mining area white dragon coal mine, a Peak mining area nine-Dragon coal mine, yellow sand and Sterculia Manuke coal mine, a mining area mountain coal mine, a North Huaihuai coal mine and a Pan collected two mines in Huainan mining area, and the 20 coal mines are subjected to 22 times of major water outburst disast. Wherein, the water volume of a large-scale modernized mine in 1984, namely, a fangyoza coal mine, reaches 2053m3The/min collapse column water inrush disaster can be regarded as the most prominent world underground water, the water disaster of 32 dead camel mountain coal mines in 2010 creates the collapse column water inrush death record, and the economic loss of about 20 million yuan of Pan gather second mine in 2017 can be regarded as the collapse columnThe most advanced history of water inrush.
The hidden water diversion fault of the coal seam floor belongs to another hidden water danger source and once causes the disaster that the floor water inrush submerges the working face, for example, in 2001, the hidden fault water inrush of the floor 665m of the coal seam floor of the Liuqiao first mine in the mine area of North Anhui province3H, causing the working surface to be flooded; in 2002, water inrush from a bottom plate 620m occurs on working face of coal mine 2401 collected by Yongcheng mine area vehicle3And/h, causing the working surface to be flooded.
However, both the hidden sinking column of the coal seam floor and the hidden water guide fault of the coal seam floor have the characteristic of strong concealment, and no effective exploration method exists for the hidden water danger source of the coal seam floor in the prior art, so that the risk of water inrush caused by the hidden water danger source of the coal seam floor cannot be controlled.
Disclosure of Invention
In view of this, the present invention aims to provide a method and an apparatus for positioning a water danger source area of a coal seam floor, so as to alleviate the technical problem that the hidden water danger source of the coal seam floor cannot be detected in the prior art.
In a first aspect, an embodiment of the present invention provides a method for positioning a coal seam floor water danger source area, including:
acquiring target attribute data in a detection area, wherein the target attribute data at least comprises one of the following data: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor;
calculating a distribution field of the target attribute data in the detection area based on the target attribute data;
and determining a water danger source area in the detection area according to the distribution field.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where, when the types of the target attribute data are multiple, determining a water risk area in the detection area according to the distribution field includes:
respectively determining a sub-water danger source region in the detection region according to the distribution field of each target attribute data, wherein one sub-water danger source region is determined by the distribution field of one target attribute data in the multiple target attribute data;
determining a target area based on a plurality of the sub-water danger source areas, wherein the target area is an area which overlaps and contains the largest number of the sub-water danger source areas in the detection area;
determining the target area as the water hazard area.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where determining, according to a distribution field of each type of target attribute data, a sub-water risk region in the detection region respectively includes:
drawing a contour map of each target attribute data in the detection area based on the distribution field of each target attribute data;
extracting a first sub-target area from the detection area according to the contour map, wherein the first sub-target area is an area corresponding to a maximum closed curve in the contour map;
and determining the first sub-target area as the sub-water danger source area.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where determining, according to a distribution field of each type of target attribute data, a sub-water risk region in the detection region respectively includes:
calculating a gradient field of each target attribute data in the detection region based on the distribution field of each target attribute data;
extracting a second sub-target area from the detection area according to the gradient field, wherein the second sub-target area is an intersection area of gradient lines in the gradient field;
and determining the second sub-target area as the sub-water danger source area.
In combination with the first aspect, the present examples provide a fourth possible implementation manner of the first aspect, wherein,
acquiring target attribute data in a detection area, comprising: acquiring at least one target property data within the examination area at each of a plurality of acquisition positions, wherein the number of acquisition positions is at least 3, and at least 3 acquisition positions are located outside a same line in the examination area, the number of at least 3 acquisition positions is determined by the characteristics of the examination area, and the characteristics of the examination area include: the method comprises the following steps of (1) determining the coal deterioration degree, the water temperature of a same-purpose aquifer in a coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, the number and the flow of drainage points of the same-purpose aquifer in the coal seam floor and the water temperature of the same-purpose aquifer in the coal seam floor;
calculating a distribution field of the target attribute data within the detection region based on the target attribute data, including: performing numerical simulation by using a numerical method according to at least one target attribute data obtained at each acquisition position to obtain a distribution field of the at least one target attribute data in the detection area, wherein the numerical method comprises any one of the following steps: finite difference algorithm, finite element method.
With reference to the fourth possible implementation manner of the first aspect, the present invention provides a fifth possible implementation manner of the first aspect, wherein, in a case where the target attribute data includes vitrinite reflectance of coal rocks in the coal seam,
the acquisition position includes: the method comprises the following steps of (1) laneway of a mine and/or drilling holes, wherein the laneway of the mine and/or the collection positions in the drilling holes belong to the same coal seam;
after the coal petrography sample is gathered at the collection position, the target attribute data in the detection area is obtained, and the method further comprises the following steps: and performing vitrinite reflectivity test on the coal rock sample so as to obtain vitrinite reflectivity of the coal rock sample.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where, in a case that the target attribute includes any one of the following attribute data: the water pressure of the same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor,
the acquisition position includes: a borehole, wherein the borehole passes through a same destination aquifer within a coal seam floor in the detection area, wherein the destination aquifer comprises: a thin-layer limestone aquifer, and/or a sandstone aquifer.
With reference to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where in a case that the target attribute data includes a water pressure of a same target aquifer in a coal seam floor, the acquiring target attribute data in the detection area further includes:
after the drilling hole is formed, performing a hydraulic pressure test on the orifice of the drilling hole or the aquifer part in the drilling hole;
and taking a target test value in the water pressure test as the water pressure of a target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than a preset duration for the first time.
With reference to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides an eighth possible implementation manner of the first aspect, where in a case that the target attribute data includes water quality of a same target aquifer in a coal seam floor, the acquiring target attribute data in the detection area further includes:
and under the condition of meeting the water quality test, performing the water quality test outside the drilled hole, wherein the water quality test comprises the following conditions: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
In a second aspect, an embodiment of the present invention further provides a coal seam floor water danger source area positioning device, including:
an obtaining module, configured to obtain target attribute data in a detection area, where the target attribute data at least includes one of: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor;
the calculation module is used for calculating a distribution field of the target attribute data in the detection area based on the target attribute data;
and the determining module is used for determining a water danger source area in the detection area according to the distribution field.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the determining module includes:
a first determining unit, configured to determine, when the types of the target attribute data are multiple, a sub-water danger source region in the detection region according to a distribution field of each type of the target attribute data, where a distribution field of one type of the multiple types of the target attribute data determines one sub-water danger source region;
an extracting unit, configured to determine a target area based on a plurality of the sub-water danger source areas, where the target area is an area overlapping and including the largest number of the sub-water danger source areas in the detection area;
a second determination unit for determining the target area as the water risk area.
With reference to the first possible implementation manner of the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the first determining unit includes:
a drawing subunit, configured to draw a contour map of each of the target attribute data within the detection area based on a distribution field of each of the target attribute data;
the first extraction subunit is configured to extract a first sub-target area from the detection area according to the contour map, where the first sub-target area is an area corresponding to a maximum closed curve in the contour map;
and the first determining subunit is used for determining the first sub-target area as the sub-water danger source area.
With reference to the first possible implementation manner of the second aspect, an embodiment of the present invention provides a third possible implementation manner of the second aspect, where the first determining unit includes:
a calculation subunit configured to calculate a gradient field of each of the target attribute data within the detection area based on a distribution field of each of the target attribute data;
the second extraction subunit is configured to extract a second sub-target region from the detection region according to the gradient field, where the second sub-target region is an intersection region of gradient lines in the gradient field;
and the second determining subunit is used for determining the second sub-target area as the sub-water danger source area.
In combination with the second aspect, the present embodiments provide a fourth possible implementation manner of the second aspect, wherein,
the acquisition module is configured to acquire at least one target attribute data in the detection area at each of a plurality of acquisition positions, where the number of the acquisition positions is at least 3, and at least 3 of the acquisition positions are located outside a same straight line in the detection area, and the number of the at least 3 acquisition positions is determined by characteristics of the detection area, where the characteristics of the detection area include: the coal deterioration degree, the water temperature of a same-purpose aquifer in the coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, and the number and the flow of drainage points of the same-purpose aquifer in the coal seam floor;
the calculation module is configured to perform numerical simulation by a numerical method according to at least one target attribute data obtained at each of the collection positions to obtain a distribution field of the at least one target attribute data in the detection area, where the numerical method includes any one of: finite difference algorithm, finite element method.
With reference to the fourth possible implementation manner of the second aspect, an embodiment of the present invention provides a fifth possible implementation manner of the second aspect, where, in a case that the target attribute data includes vitrinite reflectance of coal rocks in a coal seam, the acquiring location includes: the method comprises the following steps of (1) laneway of a mine and/or drilling holes, wherein the laneway of the mine and/or the collection positions in the drilling holes belong to the same coal seam;
the acquisition module is used for carrying out vitrinite reflectivity test on the coal rock sample after the coal rock sample is collected at the collection position so as to acquire the vitrinite reflectivity of the coal rock sample.
With reference to the fourth possible implementation manner of the second aspect, the embodiment of the present invention provides a sixth possible implementation manner of the second aspect, where, in a case that the target attribute includes any one of the following attribute data: the water pressure of the same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor,
the acquisition position includes: a borehole, wherein the borehole passes through a same-purpose aquifer within a floor of a coal seam in the detection area, wherein the aquifer comprises: a thin-layer limestone aquifer, and/or a sandstone aquifer.
With reference to the sixth possible implementation manner of the second aspect, the present invention provides a seventh possible implementation manner of the second aspect, wherein the obtaining module is configured to, after the hole is formed in the drill hole, perform a water pressure test at an aperture of the drill hole or an aquifer location in the drill hole, where the target attribute data includes a water pressure of a same target aquifer in a coal seam floor;
and taking a target test value in the water pressure test as the water pressure of a target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than a preset duration for the first time.
With reference to the sixth possible implementation manner of the second aspect, the embodiment of the present invention provides an eighth possible implementation manner of the second aspect, wherein the obtaining module is configured to, in a case that the target attribute data includes water quality of a same target aquifer in a coal seam floor, perform a water quality test outside the borehole under a condition that the water quality test is satisfied, where the condition of the water quality test includes: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
The embodiment of the invention has the following beneficial effects: calculating a distribution field of target attribute data in the detection area based on the acquired target attribute data in the detection area, wherein the target attribute data at least comprises one of the following data: the vitrinite reflectivity of coal petrography in the coal seam, the water pressure of the same purpose aquifer in the coal seam floor, the temperature of the same purpose aquifer in the coal seam floor, the quality of water of the same purpose aquifer in the coal seam floor, then confirm the dangerous source area of water in the detection area according to the distribution field of the target attribute data, thereby having alleviated the technical problem that the hidden dangerous source of water of the coal seam floor can not be explored in the prior art, reached and reduced the dangerous source treatment cost of colliery, the technical effect of rapidity and high efficiency that improves the colliery and administer.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for positioning a water danger source area of a coal seam floor according to an embodiment of the present invention;
fig. 2 is a flowchart of a second method for locating a coal seam floor water risk area according to an embodiment of the present invention;
fig. 3 is a flowchart of a third method for locating a coal seam floor water risk source area according to an embodiment of the present invention;
fig. 4 is a flowchart of a fourth method for locating a coal seam floor water danger source area according to an embodiment of the present invention;
fig. 5 is a schematic distribution diagram of an acquisition location according to an embodiment of the present invention;
fig. 6 is an installation schematic diagram of a drilling structure and a detection instrument according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a positioning device for a coal seam floor water danger source area according to a second embodiment of the present invention.
Icon: k1 — first acquisition location; k2 — second acquisition position; k3 — third acquisition position; k4 — fourth acquisition position; k5-fifth acquisition position; k6-sixth acquisition position; k7-seventh acquisition position; k8 — eighth acquisition position; 1-water pressure and water temperature detector; 2-a water quality detector; 3-a water tap; 100-an acquisition module; 200-a calculation module; 300-determination module.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the water burst amount of a water danger source caused by a hidden water danger source of a coal seam floor is maximum, a well is flooded fastest, and the disaster degree is most serious, however, due to the characteristic of strong concealment of the hidden water danger source of the coal seam floor, an effective exploration method for the hidden water danger source of the coal seam floor does not exist in the prior art. Based on the above, the method and the device for positioning the water hazard source of the coal seam floor provided by the embodiment of the invention can solve the technical problem that the hidden water hazard source of the coal seam floor cannot be detected in the prior art.
In order to facilitate understanding of the embodiment, a detailed description is first given of a method for locating a water hazard source on a coal seam floor according to the embodiment of the present invention.
Example one
The embodiment of the invention provides a method for positioning a water danger source area of a coal seam floor, which comprises the following steps of:
step S12, obtaining target attribute data in the detection area, where the target attribute data at least includes one of the following: the reflectivity of vitrinite of coal rock in the coal seam, the water pressure of a same-purpose water-bearing layer in the coal seam floor, the water temperature of the same-purpose water-bearing layer in the coal seam floor and the water quality of the same-purpose water-bearing layer in the coal seam floor.
In step S14, a distribution field of the target attribute data in the detection area is calculated based on the target attribute data.
Specifically, in the case where the target attribute data includes one kind, a distribution field of such target attribute data within the detection area is calculated; in the case where the object attribute data includes a plurality of kinds, the distribution field of the corresponding object attribute data within the detection area is calculated based on each kind of the object attribute data.
And step S16, determining a water danger source area in the detection area according to the distribution field.
It should be noted that vitrinite reflectance is a physical quantity related to the heat of the earth.
Specifically, a strong water channel caused by hidden faults and collapse columns of a coal bed bottom plate enables water flow to cross flow when the water flow penetrates through a sandstone or thin-layer limestone aquifer of the bottom plate, according to the underground water dynamics theory, the same target aquifer in the coal bed bottom plate is bound to generate geological effects such as water pressure, water temperature and water quality, the geological effects such as vitrinite reflectivity are bound to be generated in the coal bed, and a water danger source area where the geological effects such as water pressure, water temperature, water quality and vitrinite reflectivity are generated can be located through analysis of a target attribute data distribution field.
In the embodiment of the present invention, a distribution field of target attribute data in a detection area is calculated based on the acquired target attribute data in the detection area, where the target attribute data at least includes one of the following data: the vitrinite reflectivity of coal petrography in the coal seam, the water pressure of the same purpose aquifer in the coal seam floor, the temperature of the same purpose aquifer in the coal seam floor, the quality of water of the same purpose aquifer in the coal seam floor, then confirm the dangerous source area of water in the detection area according to the distribution field of the target attribute data, thereby having alleviated the technical problem that the hidden dangerous source of water of the coal seam floor can not be explored in the prior art, reached and reduced the dangerous source treatment cost of colliery, the technical effect of rapidity and high efficiency that improves the colliery and administer.
In a second optional implementation manner of the embodiment of the present invention, as shown in fig. 2, when the types of the target attribute data are multiple, determining a water risk area in the detection area according to the distribution field includes:
step S161, respectively determining a sub-water danger source region in the detection region according to the distribution field of each target attribute data, wherein one sub-water danger source region is determined by the distribution field of one target attribute data in the multiple target attribute data;
step S162, determining a target area based on a plurality of sub-water danger source areas, wherein the target area is an area which is overlapped in the detection area and contains the most sub-water danger source areas;
in step S163, the target region is determined as a water risk region.
Specifically, different water danger source regions in the detection region are determined by the distribution fields of different types of target attribute data, so that a water danger source region determined by the distribution fields partially overlapped with multiple types of target attribute data appears in the detection region, and the region overlapped with the largest number of sub-water danger source regions in the detection region is determined as the water danger source region, so that the diffusivity of geological effect caused by hidden water danger sources of a coal seam floor and the necessity of geological effect caused by the center of the hidden water danger sources are considered, and therefore the water danger source region determined in the embodiment of the invention is more accurate.
In a third alternative implementation manner of the embodiment of the present invention, as shown in fig. 3, the determining the sub-water-risk region in the detection area according to the distribution field of each target attribute data includes:
step S1611, drawing a contour map of each target attribute data in the detection area based on the distribution field of each target attribute data;
step S1612, according to the contour map, extracting a first sub-target area from the detection area, wherein the first sub-target area is an area corresponding to a maximum closed curve in the contour map;
in step S1613, the first sub-target area is determined as a sub-water risk area.
In the embodiment of the invention, because the hidden water danger source can cause the target attribute data to generate mutation, the positioning of the sub-water danger source region is realized through the maximum closed line of the contour line in the contour map, and the positioning process is simple and easy to implement.
In a fourth optional implementation manner of the embodiment of the present invention, as shown in fig. 4, the determining, according to the distribution field of each type of target attribute data, a sub-water danger source region in the detection region respectively includes:
step S1614, calculating a gradient field of each target attribute data in the detection region based on the distribution field of each target attribute data;
step S1615, extracting a second sub-target area from the detection area according to the gradient field, wherein the second sub-target area is an intersection area of gradient lines in the gradient field;
in step S1616, the second sub-target area is determined as the sub-water risk area.
In the embodiment of the invention, the gradient line of the gradient field of the target attribute data represents the enrichment range of the target attribute data, so that reference is provided for simulation of a water hazard source effect source field, and positioning of a sub-water hazard source region can be more accurately realized.
In another optional implementation manner of the embodiment of the present invention, acquiring target attribute data in a detection area includes: acquiring at least one target attribute data in a detection area at each of a plurality of acquisition positions, wherein the number of the acquisition positions is at least 3, and at least 3 acquisition positions are located outside the same straight line in the detection area, the number of the at least 3 acquisition positions is determined by the characteristics of the detection area, and the characteristics of the detection area include: the coal deterioration degree, the water temperature of a same-purpose aquifer in the coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, and the number and the flow of drainage points of the same-purpose aquifer in the coal seam floor;
calculating a distribution field of target attribute data in the detection area based on the target attribute data, comprising: according to at least one target attribute data obtained at each acquisition position, carrying out numerical simulation by a numerical method to obtain a distribution field of the at least one target attribute data in the detection area, wherein the numerical method comprises any one of the following steps: finite difference algorithm, finite element method.
It should be noted that, in the case that the target attribute data includes one attribute data, one target attribute data is collected at each collection position; and under the condition that the target attribute data comprises a plurality of kinds of attribute data, each kind of target attribute data corresponds to one group of collection positions, the number of the group of collection positions corresponding to each kind of attribute data is at least 3, and at least 3 collection positions are positioned outside the same straight line in the detection area. The water pressure of the same target water-bearing layer in the coal seam floor, the water temperature of the same target water-bearing layer in the coal seam floor and the water quality of the same target water-bearing layer in the coal seam floor can be the same, and the acquisition position of the vitrinite reflectivity of the coal rock in the coal seam is different from the acquisition positions of the three target attribute data.
In addition, the specific values of at least 3 acquisition positions corresponding to each target attribute data are determined by the characteristics of the detection area, for example, in any one of the following cases: the coal deterioration degree is lower, the water temperature of the same target aquifer in the coal seam floor is higher, the number of drainage points of the same target aquifer in the coal seam floor is larger, and the density of the collection position is increased so as to ensure the accuracy of the distribution field of the target attribute data in the detection area calculated based on the target attribute data.
Specifically, the numerical method is used to calculate the target attribute data acquired at least at 3 acquisition positions corresponding to each target attribute data to obtain the distribution field of the corresponding target attribute data in the detection area, wherein, when the numerical method is used to calculate, the calculation software in the prior art, such as MODF L OW, FEF L OW, ANSYS, F L OW-3D, can be used, and the specific calculation steps are not described herein again.
In the embodiment of the invention, the distribution field of the corresponding target attribute data in the detection area can be obtained through at least 3 data in the target attribute data, so that the complexity and difficulty of the target attribute data acquisition process are reduced.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute data includes vitrinite reflectance of coal rocks within the coal seam;
the acquisition position includes: the method comprises the following steps of (1) laneways of a mine and/or boreholes, wherein the laneways of the mine and/or the boreholes belong to the same coal seam;
after gathering the coal petrography sample at the collection position, acquire the target attribute data in the detection area, still include: and performing vitrinite reflectivity test on the coal rock sample so as to obtain vitrinite reflectivity of the coal rock sample.
Fig. 5 is a schematic diagram showing a distribution of the sampling positions corresponding to the vitrinite reflectivity of the coal rock in the coal seam, wherein the sampling positions are all located in the roadway of the mine, and the sampling positions of the parts shown in the diagram are eight in total, namely: a first acquisition position K1; a second acquisition position K2; a third acquisition position K3; a fourth acquisition position K4; a fifth acquisition position K5; a sixth acquisition position K6; a seventh acquisition position K7; an eighth acquisition position K8, and the eight acquisition positions are not collinear.
It should be emphasized that the number of collection positions is not limited to eight for the accuracy of positioning the water hazard region, and is only an illustration in conjunction with fig. 5, and does not represent a detailed limitation on the number of collection positions.
Specifically, in the embodiment of the invention, after the coal rock sample is collected at the collecting position, the coal rock sample can be taken to a laboratory for vitrinite reflectivity test.
In the embodiment of the invention, since the vitrinite reflectivity of the coal rock is different according to different coal seams, the acquisition position is positioned in a roadway and/or a drilled hole of a mine in the same coal seam, so that the vitrinite reflectivity of the coal rock is not influenced by different coal seams.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute includes any one of the following attribute data: the water pressure of the same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor,
the acquisition position includes: drilling a hole, wherein the drilling hole penetrates an aquifer in a floor of the coal seam in the detection area, wherein the target aquifer comprises: a thin-layer limestone aquifer, and/or a sandstone aquifer.
In view of the fact that only a target aquifer in the coal seam floor can generate geological effects such as water pressure, water temperature and water quality aiming at a hidden water danger source, further, the hole bottom of the drilled hole can be a thin-layer limestone aquifer or sandstone aquifer which reaches a position 30-50m below the boundary of the coal seam and the coal seam floor, and because the aquifer which is deeper from the boundary of the coal seam and the coal seam floor is close to the Ordovician huge thick aquifer, the change of the water pressure, the water temperature and the water quality can be caused by the failure of the aquifer; the distance between the bottom of the drilled hole and the boundary of the coal bed and the bottom plate of the coal bed is shallow, and the obvious changes of water pressure, water temperature and water quality can not be detected, so that the accuracy of positioning the water danger source area is influenced.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute data includes a water pressure of a same target aquifer in a coal seam floor, acquiring target attribute data in a detection area, further includes:
after drilling and forming holes, carrying out a water pressure test on the hole opening of the drilled hole or the aquifer part in the drilled hole;
and taking a target test value in the water pressure test as the water pressure of the same target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than the preset duration for the first time.
In particular, drilling a hole refers to removing the drilling tool from the borehole after drilling is complete.
In the embodiment of the invention, the target test value is the test value when the water pressure stability time is greater than the preset time for the first time, so that the accuracy of the water pressure of the same target aquifer in the coal seam floor is ensured.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute data includes water quality of an aquifer in a coal seam floor, acquiring target attribute data in a detection area, further includes:
under the condition that satisfies the water quality test, carry out the water quality test outside drilling, wherein, the condition of water quality test includes: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
In the embodiment of the invention, the water quality test is carried out after the hole is drilled and the volume of water flowing out of the drilled hole is larger than that of the drilled hole, so that the flushing liquid for drilling is ensured to be flushed cleanly, and the influence of the flushing liquid for drilling on the water quality detection is eliminated.
Fig. 6 is a schematic view showing a drilling structure and an installation of a detection instrument, wherein a water pressure and temperature detector 1 and a water quality detector 2 are installed at the hole of a drill hole to detect water pressure, water temperature and water quality of the same purpose. Fig. 6 is a schematic diagram of an installation of a water quality detector 2 for detecting water quality in real time, specifically, the water quality detection can be performed after detecting water pressure and water temperature, wherein the water quality detection is to test the water quality of a water source by controlling a part of the water source to flow out through a faucet 3.
When detecting the water pressure and the water temperature, the water pressure and water temperature detector 1 may be placed in the aquifer part of the borehole for detection.
Example two
An embodiment of the present invention provides a coal seam floor water hazard locating device, as shown in fig. 7, including:
an obtaining module 100, configured to obtain target attribute data in a detection area, where the target attribute data at least includes one of: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor;
a calculation module 200, configured to calculate a distribution field of target attribute data in the detection area based on the target attribute data;
a determining module 300, configured to determine a water hazard region in the detection area according to the distribution field.
In the embodiment of the present invention, based on the target attribute data in the detection area acquired by the acquisition module 100, the calculation module 200 calculates a distribution field of the target attribute data in the detection area, where the target attribute data at least includes one of the following data: the vitrinite reflectivity of coal petrography in the coal seam, the water pressure of same purpose aquifer in the coal seam bottom plate, the temperature of same purpose aquifer in the coal seam bottom plate, the quality of water of same purpose aquifer in the coal seam bottom plate, then confirm module 300 and confirm the dangerous source region of water in the detection area according to the distribution field of target attribute data, thereby the technical problem that hidden water danger source of coal seam bottom plate can not be explored in the prior art has been alleviated, the cost of controlling coal seam bottom plate water danger source has been reduced, the technical effects of rapidity and high efficiency of coal mine control are improved.
In an optional implementation manner of the embodiment of the present invention, the determining module 300 includes:
a first determining unit, configured to determine a sub-water risk source region in the detection region according to a distribution field of each type of target attribute data when the target attribute data includes a plurality of types of attribute data, where a distribution field of one type of target attribute data among the plurality of types of target attribute data determines one sub-water risk source region;
the extraction unit is used for extracting a target area from the detection area based on a plurality of sub-water danger source areas, wherein the target area is an area which is overlapped in the detection area and contains the most sub-water danger source areas;
and a second determination unit for determining the target area as a water risk area.
In another optional implementation manner of the embodiment of the present invention, the first determining unit includes:
the drawing subunit is used for drawing a contour map of each target attribute data in the detection area based on the distribution field of each target attribute data;
the first extraction subunit is used for extracting a first sub-target area from the detection area according to the contour map, wherein the first sub-target area is an area corresponding to a maximum closed curve in the contour map;
and the first determining subunit is used for determining the first sub-target area as a sub-water danger source area.
In another optional implementation manner of the embodiment of the present invention, the first determining unit includes:
a calculation subunit configured to calculate a gradient field of each target attribute data within the detection area based on the distribution field of each target attribute data;
the second extraction subunit is used for extracting a second sub-target region from the detection region according to the gradient field, wherein the second sub-target region is a convergence region of gradient lines in the gradient field;
and the second determining subunit is used for determining the second sub-target area as a sub-water danger source area.
In another optional implementation manner of the embodiment of the present invention, the obtaining module 100 is configured to obtain at least one target attribute data in the detection area at each of a plurality of collecting positions, where the number of the collecting positions is at least 3, and at least 3 collecting positions are located outside a same straight line in the detection area, and the number of the at least 3 collecting positions is determined by characteristics of the detection area, where the characteristics of the detection area include: the coal deterioration degree, the water temperature of a same-purpose aquifer in the coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, and the number and the flow of drainage points of the same-purpose aquifer in the coal seam floor;
the calculation module 200 is configured to perform numerical simulation on each target attribute data in the at least one target attribute data obtained at each collection position by using a numerical method to obtain a distribution field of the at least one target attribute data in the detection area, where the numerical method includes any one of: finite difference algorithm, finite element method.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute data includes vitrinite reflectance of coal rocks in a coal seam, the acquiring position includes: the method comprises the following steps of (1) laneways of a mine and/or boreholes, wherein the laneways of the mine and/or the boreholes belong to the same coal seam;
the obtaining module 100 is further configured to perform vitrinite reflectance testing on the coal rock sample after the coal rock sample is collected at the collecting position, so as to obtain vitrinite reflectance of the coal rock sample.
In another optional implementation manner of the embodiment of the present invention, in a case that the target attribute includes any one of the following attribute data: the water pressure of the same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor,
the acquisition position includes: drilling a hole, wherein the drilling hole penetrates an aquifer in a floor of the coal seam in the detection area, wherein the target aquifer comprises: a thin-layer limestone aquifer, and/or a sandstone aquifer.
In another alternative implementation of the embodiment of the present invention, the obtaining module 100 is configured to, in the case that the target property data includes a water pressure of a same destination aquifer within the floor of the coal seam,
after drilling and forming holes, carrying out a water pressure test on the hole opening of the drilled hole or the aquifer part in the drilled hole;
and taking a target test value in the water pressure test as the water pressure of the same target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than the preset duration for the first time.
In another optional implementation manner of the embodiment of the present invention, the obtaining module 100 is configured to, in a case that the target attribute data includes water quality of a same target aquifer in the coal seam floor,
under the condition that satisfies the water quality test, carry out the water quality test outside drilling, wherein, the condition of water quality test includes: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
EXAMPLE III
The embodiment of the invention provides a method and a device for positioning a water danger source area of a coal seam floor, and a computer program product of the device, wherein the computer program product comprises a computer readable storage medium storing program codes, and instructions included in the program codes are used for executing the method for positioning the water danger source area of the coal seam floor in the first embodiment.
In an embodiment of the present invention, instructions of a program code stored in a computer-readable storage medium are used to execute the method for locating a coal mine water danger source region in the first embodiment, specifically, a distribution field of target attribute data in a detection region is calculated based on acquired target attribute data in the detection region, where the target attribute data at least includes one of: the vitrinite reflectivity of coal petrography in the coal seam, the water pressure of the same purpose aquifer in the coal seam floor, the temperature of the same purpose aquifer in the coal seam floor, the quality of water of the same purpose aquifer in the coal seam floor, then confirm the dangerous source area of water in the detection area according to the distribution field of the target attribute data, thereby having alleviated the technical problem that the hidden dangerous source of water of the coal seam floor can not be explored in the prior art, reached and reduced the dangerous source treatment cost of colliery, the technical effect of rapidity and high efficiency that improves the colliery and administer.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A coal seam floor water danger source area positioning method is characterized by comprising the following steps:
acquiring target attribute data in a detection area, wherein the target attribute data at least comprises one of the following data: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor;
calculating a distribution field of the target attribute data in the detection area based on the target attribute data;
determining a water danger source area in the detection area according to the distribution field;
acquiring target attribute data in a detection area, comprising: acquiring at least one target attribute data in the detection area at each of a plurality of acquisition positions, wherein the number of the acquisition positions is at least 3, and at least 3 of the acquisition positions are located outside the same straight line in the detection area, and the number of the acquisition positions is determined by the characteristics of the detection area, and the characteristics of the detection area include: the coal deterioration degree, the water temperature of a same-purpose aquifer in the coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, and the number and the flow of drainage points of the same-purpose aquifer in the coal seam floor;
calculating a distribution field of the target attribute data within the detection region based on the target attribute data, including: performing numerical simulation by using a numerical method according to at least one target attribute data obtained at each acquisition position to obtain a distribution field of the at least one target attribute data in the detection area, wherein the numerical method comprises any one of the following steps: finite difference algorithm, finite element method; in the case that the target attribute data includes vitrinite reflectance of coal rocks within the coal seam, the collecting location includes: the method comprises the following steps of (1) laneway of a mine and/or drilling holes, wherein the laneway of the mine and/or the collection positions in the drilling holes belong to the same coal seam;
after the coal petrography sample is gathered at the collection position, the target attribute data in the detection area is obtained, and the method further comprises the following steps: performing vitrinite reflectivity test on the coal rock sample so as to obtain vitrinite reflectivity of the coal rock sample;
under the condition that the target attribute data comprise the water pressure of the same target aquifer in the coal seam floor, the acquiring of the target attribute data in the detection area further comprises:
after the drilling hole is formed, performing a hydraulic pressure test on the orifice of the drilling hole or the aquifer part in the drilling hole;
taking a target test value in the water pressure test as the water pressure of the same target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than a preset duration for the first time;
under the condition that the target attribute data comprise the water quality of the same target aquifer in the coal seam floor, the method for acquiring the target attribute data in the detection area further comprises the following steps:
and under the condition of meeting the water quality test, performing the water quality test outside the drilled hole, wherein the water quality test comprises the following conditions: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
2. The method of claim 1, wherein determining a water hazard region within the detection area from the distribution field in the case that the target attribute data is of multiple types comprises:
respectively determining a sub-water danger source region in the detection region according to the distribution field of each target attribute data, wherein one sub-water danger source region is determined by the distribution field of one target attribute data in the multiple target attribute data;
determining a target area based on a plurality of the sub-water danger source areas, wherein the target area is an area which overlaps and contains the largest number of the sub-water danger source areas in the detection area;
determining the target area as the water hazard area.
3. The method of claim 2, wherein determining the sub-water-risk regions within the detection area from the distribution field of each of the target property data comprises:
drawing a contour map of each target attribute data in the detection area based on the distribution field of each target attribute data;
extracting a first sub-target area from the detection area according to the contour map, wherein the first sub-target area is an area corresponding to a maximum closed curve in the contour map;
and determining the first sub-target area as the sub-water danger source area.
4. The method of claim 2, wherein determining the sub-water-risk regions within the detection area from the distribution field of each of the target property data comprises:
calculating a gradient field of each target attribute data in the detection region based on the distribution field of each target attribute data;
extracting a second sub-target area from the detection area according to the gradient field, wherein the second sub-target area is an intersection area of gradient lines in the gradient field;
and determining the second sub-target area as the sub-water danger source area.
5. The method of claim 1, wherein the target attribute comprises any one of the following attribute data: the water pressure of the same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor,
the acquisition position includes: a borehole, wherein the borehole passes through a same destination aquifer within a coal seam floor in the detection area, wherein the destination aquifer comprises: a thin-layer limestone aquifer, and/or a sandstone aquifer.
6. The utility model provides a coal seam floor water danger source area positioner which characterized in that includes:
an obtaining module, configured to obtain target attribute data in a detection area, where the target attribute data at least includes one of: the vitrinite reflectivity of coal rock in the coal seam, the water pressure of a same target aquifer in the coal seam floor, the water temperature of the same target aquifer in the coal seam floor and the water quality of the same target aquifer in the coal seam floor;
the calculation module is used for calculating a distribution field of the target attribute data in the detection area based on the target attribute data;
the determining module is used for determining a water danger source area in the detection area according to the distribution field;
an obtaining module, configured to obtain at least one target attribute data in the detection area at each of a plurality of collecting positions, where the number of the collecting positions is at least 3, and at least 3 of the collecting positions are located outside a same straight line in the detection area, and the number of the collecting positions is determined by a characteristic of the detection area, where the characteristic of the detection area includes: the method comprises the following steps of (1) determining the deterioration degree of coal, the water temperature of a same-purpose aquifer in a coal seam floor, the water pressure of the same-purpose aquifer in the coal seam floor, the water quality of the same-purpose aquifer in the coal seam floor, and the number and flow of drainage points of the same-purpose aquifer in the coal seam floor;
the calculation module is configured to perform numerical simulation by using a numerical method according to at least one target attribute data obtained at each of the collection positions to obtain a distribution field of the at least one target attribute data in the detection area, where the numerical method includes any one of: finite difference algorithm, finite element method; in the case that the target attribute data includes vitrinite reflectance of coal rocks within the coal seam, the collecting location includes: the method comprises the following steps of (1) laneway of a mine and/or drilling holes, wherein the laneway of the mine and/or the collection positions in the drilling holes belong to the same coal seam;
the acquisition module is further used for acquiring target attribute data in the detection area after the coal rock sample is acquired at the acquisition position, and further comprises: performing vitrinite reflectivity test on the coal rock sample so as to obtain vitrinite reflectivity of the coal rock sample;
the acquisition module is used for acquiring the target attribute data of the coal seam floor under the condition that the target attribute data comprises the water pressure of the same target aquifer in the coal seam floor,
after drilling and forming holes, carrying out a water pressure test on the hole opening of the drilled hole or the aquifer part in the drilled hole;
taking a target test value in the water pressure test as the water pressure of the same target aquifer in the coal seam floor, wherein the target test value is a test value when the water pressure stability duration is greater than a preset duration for the first time;
the acquisition module is used for acquiring the target attribute data of the coal seam floor,
under the condition that satisfies the water quality test, carry out the water quality test outside drilling, wherein, the condition of water quality test includes: the volume of water flowing out of the bore after the bore is formed is greater than the volume of the bore.
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