Deep-buried tunnel water inflow prediction method and device based on directional drilling and product

Abstract

The invention discloses a deep-buried tunnel water inflow prediction method, device and product based on directional drilling, the surrounding rock permeability coefficient of a water inflow section is calculated by means of dynamic monitoring data of water pressure and water inflow of a specific water inflow section of directional drilling in a tunnel exploration stage, and finally, the water inflow of the deep-buried tunnel can be predicted by means of a hydrogeological comparison method. Based on the surrounding rock permeability coefficient and the dynamic monitoring data of the water pressure and the water inflow, the water inflow of the tunnel to be built in the water inflow section is predicted; therefore, compared with the traditional technology, the method does not need to simplify aquifer characteristics and boundary conditions, can improve the prediction accuracy, does not need a large amount of exploration and a large amount of test data, and can improve the efficiency while reducing the cost; therefore, the method is very suitable for large-scale application and popularization in the technical field of water inflow prediction of tunnel exploration.

Description

Technical Field

[0001] The present invention belongs to the technical field of water inflow prediction in tunnel exploration, and in particular relates to a method, device and product for predicting water inflow in a deep buried tunnel based on directional drilling. Background Art

[0002] In areas with complex geological structures, water hazards during tunnel construction and excavation often threaten the safety of construction workers and property; therefore, accurately predicting tunnel water inflow is of great significance for safe production.

[0003] At present, the prediction of tunnel water inflow often adopts the water balance method, groundwater dynamics method and groundwater numerical simulation method. Among them, the above-mentioned prediction methods all need to simplify the aquifer characteristics and boundary conditions of the rock strata when applied, which will bring large errors to the prediction of water inflow, resulting in poor accuracy; at the same time, the above-mentioned methods need to carry out a lot of exploration and a lot of test data when used, which not only leads to high cost, but also reduces the prediction efficiency; therefore, based on the above-mentioned deficiencies, how to provide a high-efficiency, high-accuracy and low-cost prediction method for tunnel water inflow has become a problem to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device and product for predicting water inflow of a deep buried tunnel based on directional drilling, so as to solve the problems of poor accuracy, high cost and low efficiency existing in the prior art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, a method for predicting water inflow in a deep buried tunnel based on directional drilling is provided, comprising:

[0007] Obtaining first water pressure data, second water pressure data and corresponding borehole orifice water inflow data of each water inflow section within a preset time period during the tunnel directional drilling process, wherein the first water pressure data of any water inflow section is measured after blocking any water inflow section and the orifice of the directional drilling hole, and the second water pressure data of any water inflow section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole;

[0008] Determine the surrounding rock permeability coefficient of each water gushing section according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing data of each water gushing section within a preset time period;

[0009] Based on the first water pressure data, the second water pressure data, the borehole orifice water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section, the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel is calculated.

[0010] Based on the above disclosed content, the present invention first obtains the first water pressure data in each water gushing section when each water gushing section and the borehole orifice are blocked at the same time during the directional drilling process, and the second water pressure data in each water gushing section and the corresponding borehole orifice water gushing data after the directional drilling orifice is opened; then, based on the aforementioned collected data, the surrounding rock permeability coefficient of each water gushing section is calculated; finally, according to the aforementioned collected data and the surrounding rock permeability coefficient of each water gushing section, the predicted water gushing volume of each water gushing section during the excavation of a deep buried tunnel can be calculated.

[0011] Through the above design, the method for predicting the water inflow of a deep buried tunnel based on directional drilling provided by the present invention directly collects the most realistic water inflow and water pressure data of the test section in the complex aquifer through the in-situ testing technology, and then calculates the surrounding rock permeability of the water inflow section based on the collected data, and based on this, predicts the water inflow of the water inflow section when the deep buried tunnel is excavated; thus, compared with the traditional technology, the present invention does not need to simplify the aquifer characteristics and boundary conditions, and can improve the accuracy of the prediction; at the same time, the present invention only needs to collect the water pressure data of the water inflow section after being blocked, as well as the water pressure data and the orifice water inflow data after being unblocked, without the need for a large amount of test data and a large amount of exploration, therefore, it can improve efficiency while reducing costs; therefore, the present invention is very suitable for large-scale application and promotion in the field of tunnel exploration water inflow prediction technology.

[0012] In a possible design, the surrounding rock permeability coefficient of each water gushing section is determined according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing data of each water gushing section within a preset time, including:

[0013] For any water gushing section, extract the first stable data section in the first water pressure data, the second stable data section in the second water pressure data, and the third stable data section in the water gushing volume data at the borehole orifice corresponding to the any water gushing section, wherein the difference between each water pressure data in the first stable data section and the second stable data section is less than or equal to a first threshold, and the difference between each water gushing volume data in the third stable data section is less than or equal to a second threshold;

[0014] Calculating the means of the first stable data segment, the second stable data segment and the third stable data segment to obtain a first water pressure mean, a second water pressure mean and an orifice flow mean, respectively;

[0015] The surrounding rock permeability coefficient corresponding to any water gushing section is calculated based on the first water pressure average value, the second water pressure average value and the orifice flow average value.

[0016] In a possible design, the surrounding rock permeability coefficient corresponding to any water gushing section is calculated based on the first water pressure average value, the second water pressure average value and the orifice flow average value, including:

[0017] Based on the first water pressure average value, determining a first water head height in any water gushing section, and based on the second water pressure average value, determining a second water head height in any water gushing section;

[0018] The first water head height, the second water head height and the average value of the orifice flow rate are used to calculate the surrounding rock permeability coefficient corresponding to any water gushing section.

[0019] In a possible design, the first water head height, the second water head height and the mean value of the orifice flow rate are used to calculate the surrounding rock permeability coefficient corresponding to any water gushing section, including:

[0020] Obtaining the drilling radius of the directional drilling and the length of any water gushing section;

[0021] Calculating the difference between the first water head height and the second water head height to obtain the water level drop in any water gushing section;

[0022] The surrounding rock permeability coefficient corresponding to any water gushing section is calculated according to the borehole radius, the water level drop, the length of any water gushing section and the mean orifice flow rate.

[0023] In a possible design, the surrounding rock permeability coefficient corresponding to any water gushing section is calculated according to the borehole radius, the water level drawdown, the length of any water gushing section and the mean orifice flow rate, including:

[0024] According to the following formula (1), the surrounding rock permeability coefficient corresponding to any water gushing section is calculated;

[0025]

[0026] In the above formula (1), K represents the surrounding rock permeability coefficient corresponding to any water gushing section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, and L represents the length of any water gushing section.

[0027] In a possible design, based on the first water pressure data, the second water pressure data, the borehole water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section, the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel is calculated, including:

[0028] Obtaining the drilling radius of the directional drilling and the equivalent radius of the deep buried tunnel;

[0029] For any water gushing section, based on the first water pressure data of the any water gushing section, a first water head height in the any water gushing section is calculated, and according to the first water pressure data and the second water pressure data of the any water gushing section, a water level drop in the any water gushing section is calculated;

[0030] Determine the mean orifice flow rate according to the borehole orifice water inflow data corresponding to any of the water inflow sections;

[0031] The predicted water inflow of any water gushing section is calculated using the borehole radius, the equivalent radius, the first water head height, the water level drawdown, the orifice flow mean value, and the surrounding rock permeability coefficient of any water gushing section.

[0032] In a possible design, the predicted water inflow of any water inflow section is calculated using the borehole radius, the equivalent radius, the first water head height, the water level drawdown, the orifice flow mean value, and the surrounding rock permeability coefficient of any water inflow section, including:

[0033] According to the following formula (2), the predicted water inflow of any water inflow section is calculated;

[0034]

[0035] In the above formula (2), Q′ represents the predicted water inflow of any water inflow section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, r1 represents the equivalent radius, K represents the surrounding rock permeability coefficient corresponding to any water inflow section, and H0 represents the first head height in any water inflow section.

[0036] In a second aspect, a device for predicting water inflow in a deep buried tunnel based on directional drilling is provided, comprising:

[0037] A data acquisition unit, used to acquire first water pressure data, second water pressure data and corresponding borehole orifice water inflow data of each water inflow section in a preset time period during the directional drilling process of the tunnel, wherein the first water pressure data of any water inflow section is measured after blocking any water inflow section and the orifice of the directional drilling hole, and the second water pressure data of any water inflow section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole;

[0038] A permeability coefficient calculation unit, used to determine the surrounding rock permeability coefficient of each water gushing section according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing data of each water gushing section within a preset time period;

[0039] The water inflow prediction unit is used to calculate the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel based on the first water pressure data, the second water pressure data, the borehole orifice water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section.

[0040] In a third aspect, another device for predicting the water inflow of a deep buried tunnel based on directional drilling is provided. Taking the device as an electronic device as an example, the device includes a memory, a processor and a transceiver which are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the method for predicting the water inflow of a deep buried tunnel based on directional drilling as described in the first aspect or any possible design of the first aspect.

[0041] In a fourth aspect, a storage medium is provided, on which instructions are stored. When the instructions are executed on a computer, a method for predicting water inflow in a deep buried tunnel based on directional drilling as described in the first aspect or any possible design of the first aspect is executed.

[0042] In a fifth aspect, a computer program product comprising instructions is provided, which, when executed on a computer, causes the computer to execute a method for predicting water inflow in a deep buried tunnel based on directional drilling as described in the first aspect or any possible design of the first aspect.

[0043] Beneficial effects:

[0044] (1) The method for predicting the water inflow of a deep buried tunnel based on directional drilling provided by the present invention directly collects the most realistic water inflow and water pressure data of the test section in the complex aquifer through in-situ testing technology, and then calculates the surrounding rock permeability coefficient of the water inflow section based on the collected data, and based on this, predicts the water inflow of the water inflow section when the deep buried tunnel is excavated; thus, compared with the traditional technology, the present invention does not need to simplify the aquifer characteristics and boundary conditions, and can improve the accuracy of the prediction; at the same time, the present invention only needs to collect the water pressure data of the water inflow section after being blocked, as well as the water pressure data and orifice water inflow data after being unblocked, without requiring a large amount of test data and a large amount of exploration, so that the efficiency can be improved while reducing the cost; therefore, the present invention is very suitable for large-scale application and promotion in the field of tunnel exploration water inflow prediction technology.

[0045] (2) For a deeply buried tunnel, the permeability of the rock mass without developed deep fractures is extremely small and can be regarded as a relative impermeable layer. The water gushing section revealed by the drilling is mostly a fracture developed section, and the source of the gushing water is the fracture water in the rock fractures. Therefore, the first water pressure obtained by the test of the water gushing section is the hydrostatic pressure caused by the fracture water in the connected fractures, and the converted first water head height is the hydrostatic head height of the groundwater in the fractures; similarly, the maximum water level drop can be obtained by combining the second water head height converted from the second water pressure measured after opening the borehole mouth; therefore, the present invention can measure the actual water level drop in the deep fractured rock mass, so as to more accurately predict the water gushing amount of the tunnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the steps of a method for predicting water inflow in a deep buried tunnel based on directional drilling provided by an embodiment of the present invention;

[0047] Figure 2 A graph showing the pressure of the water gushing section of a directional borehole and the flow rate at the borehole mouth changing with time provided by an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of the structure of a device for predicting water inflow in a deep buried tunnel based on directional drilling provided by an embodiment of the present invention;

[0049] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0051] It should be understood that although the terms first, second, etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another unit. For example, a first unit can be referred to as a second unit, and similarly, a second unit can be referred to as a first unit without departing from the scope of the exemplary embodiments of the present invention.

[0052] It should be understood that the term "and / or" that may appear in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B can represent three situations: A exists alone, B exists alone, and A and B exist at the same time. The term " / and" that may appear in this article describes another type of association object relationship, indicating that two relationships may exist. For example, A / and B can represent two situations: A exists alone, and A and B exist alone. In addition, the character " / " that may appear in this article generally indicates that the previous and next associated objects are in an "or" relationship.

[0053] Example:

[0054] See also Figure 1 As shown, the method for predicting the water inflow of a deep buried tunnel based on directional drilling provided in this embodiment relies on the dynamic monitoring data of water pressure and water inflow of a specific water inflow section of the directional drilling during the tunnel exploration stage to calculate the surrounding rock permeability of the water inflow section. Finally, the hydrogeological analogy method can be used to predict the water inflow of the proposed tunnel in the water inflow section based on the surrounding rock permeability and the dynamic monitoring data of the water pressure and water inflow mentioned above. Thus, compared with the traditional technology, the method does not need to simplify the characteristics and boundary conditions of the aquifer, which can improve the accuracy of the prediction. At the same time, the method does not require a large amount of exploration and a large amount of test data, so it can reduce costs while improving efficiency. Therefore, the method is very suitable for large-scale application and promotion in the field of tunnel exploration water inflow prediction technology. Among them, for example, the method can be but not limited to running on the water inflow prediction end side, and optionally, the water inflow prediction end can be but not limited to a personal computer (persona lcomputer, PC), tablet computer or smart phone. It can be understood that the aforementioned execution subject does not constitute a limitation on the embodiments of the present application. Accordingly, the operation steps of the method can be but are not limited to the following steps S1 to S3.

[0055] S1. Obtain the first water pressure data, the second water pressure data and the corresponding borehole orifice water inflow data of each water gushing section within a preset time length during the tunnel directional drilling process, wherein the first water pressure data of any water gushing section is measured after blocking any water gushing section and the orifice of the directional drilling hole, and the second water pressure data of any water gushing section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole.

[0056] In specific implementation, each water gushing section in the process of directional drilling of a tunnel is a section where water gushing out of the directional borehole by gravity during the drilling process, wherein the present embodiment adopts an in-situ test method to collect data, i.e., for any water gushing section, a double plug can be used for plugging; optionally, the double plug includes an upper plug and a lower plug, which are connected by a drill pipe, and a storage-type pressure sensor is provided on the drill pipe; in this way, the double plug can be lowered to any water gushing section in advance, and then, the upper plug and the lower plug of the double plug are used to respectively plug the two ends of any water gushing section, and at the same time, the orifice of the directional borehole is blocked (i.e., the flow rate of the orifice is controlled to be 0 by a flow controller); finally, the water pressure data of any water gushing section within a preset time length is measured by the storage-type pressure sensor on the double plug, thereby obtaining the first water pressure data; of course, the measurement time length can be specifically set according to actual use, such as 5 minutes, 10 minutes, etc., and is not limited to the aforementioned example.

[0057] Similarly, after the plugging stage is completed, after the water pressure data in any water-gushing section is measured, the orifice of the directional borehole can be opened, and then the flow rate of the orifice can be adjusted by the flow controller. In this process, the storage pressure sensor on the double plug is used to record the water pressure data in any water-gushing section to obtain the second water pressure data. At the same time, the flow sensor of the orifice is also needed to record the flow data of the orifice, so as to obtain the water inflow data of the borehole orifice. In this way, when measuring the second water pressure data of each water-gushing section, the water inflow data of the borehole orifice will be measured. Therefore, each water-gushing section corresponds to a water inflow data of the borehole orifice respectively. Optionally, the following gives a curve diagram of the water pressure variation with time in a water-gushing section after the orifice of the directional borehole is opened, and the corresponding water inflow of the borehole orifice (i.e. Figure 2 For a graph of the flow rate in the flow rate over time, see Figure 2 As shown; of course, the foregoing is only illustrative and not limiting.

[0058] Therefore, after obtaining the dynamic monitoring data of the water pressure and water inflow of the water gushing section based on the aforementioned in-situ testing method, the aforementioned data can be stored in the water inflow prediction end, so that the water inflow prediction end can calculate the surrounding rock permeability coefficient of each water gushing section based on the aforementioned data, wherein the calculation process is shown in the following step S2.

[0059] S2. Determine the surrounding rock permeability coefficient of each water gushing section based on the first water pressure data, the second water pressure data and the corresponding borehole mouth water gushing data of each water gushing section within a preset time period; in the specific implementation, this embodiment first calculates the mean of the stable section data in the aforementioned water pressure and water gushing data, and then calculates the surrounding rock permeability coefficient of each water gushing section based on the calculated water pressure mean and flow mean; wherein, any water gushing section is taken as an example for explanation, and the process can be but is not limited to the following steps S21 to S23.

[0060] S21. For any water gushing section, extract the first stable data section in the first water pressure data, the second stable data section in the second water pressure data, and the third stable data section in the water gushing volume data at the borehole mouth corresponding to the any water gushing section, wherein the difference between each water pressure data in the first stable data section and the second stable data section is less than or equal to the first threshold value, and the difference between each water gushing volume data in the third stable data section is less than or equal to the second threshold value; in this embodiment, it is equivalent to extracting a data section in which the fluctuation in the first water pressure data is less than the first threshold value within a preset time length. For example, assuming that the preset time length is 5 minutes, and during the period from the third minute to the fourth minute, the difference (which can be the absolute value) between each first water pressure corresponding to the any water gushing section is less than or equal to the first threshold value, at this time, the water pressure data between the third minute and the fourth minute can be used as the first stable data section; similarly, the extraction process of the second stable data section and the third stable data section is the same as the above example, and will not be repeated here one by one.

[0061] After completing the extraction of the stable segment data in the two water pressure data of any water gushing section, and the extraction of the stable segment data in the corresponding borehole mouth water gushing data, the mean of the data in each stable data segment can be calculated, so as to subsequently calculate the surrounding rock permeability coefficient of any water gushing section based on this; wherein, the calculation process is shown in the following steps S22 and S23.

[0062] S22. Calculate the means of the first stable data segment, the second stable data segment and the third stable data segment to obtain a first water pressure mean, a second water pressure mean and an orifice flow mean, respectively.

[0063] After obtaining the first water pressure average, the second water pressure average and the orifice flow average based on the aforementioned step S22, the surrounding rock permeability coefficient of any water gushing section can be calculated using the aforementioned data, and the calculation process is shown in the following step S23.

[0064] S23. Calculate the surrounding rock permeability coefficient corresponding to any water gushing section based on the first water pressure average value, the second water pressure average value and the orifice flow average value. In this embodiment, first convert the water head height based on the aforementioned two water pressure average values. Then, calculate the corresponding surrounding rock permeability coefficient based on the water head height and the orifice flow average value.

[0065] Specifically, the first water head height in any water gushing section is first determined based on the first water pressure average value, and the second water head height in any water gushing section is determined based on the second water pressure average value; then, the first water head height, the second water head height and the orifice flow average value are used to calculate the surrounding rock permeability coefficient corresponding to any water gushing section; optionally, taking the first water head height as an example, the calculation formula is: H0=0.01P0, wherein H0 is the first water head height, and P0 is the first water pressure average value; of course, the conversion formula for the second water head height is the same, which will not be repeated here.

[0066] Furthermore, the following discloses a method for calculating the surrounding rock permeability coefficient of any water-gushing section based on the head height and the mean orifice flow rate, which can be but is not limited to the first to third steps shown below.

[0067] Step 1: Obtain the drilling radius of the directional drilling and the length of any water gushing section.

[0068] Step 2: Calculate the difference between the first water head height and the second water head height to obtain the water level drop in any of the water gushing sections; in this embodiment, the water gushing sections revealed by the boreholes are mostly fissure development sections, and the source of the gushing water is the fissure water in the rock fissures. Therefore, the first water pressure data obtained from the water gushing section test is the hydrostatic pressure caused by the fissure water in the connected fissures, and the converted first water head height is the hydrostatic head height of the groundwater in the fissures; similarly, the maximum water level drop (i.e., the difference between the two) can be obtained by combining the second water head height converted from the second water pressure measured after opening the borehole orifice; therefore, this embodiment calculates the surrounding rock permeability coefficient based on the actual water level drop in the deep fissure rock mass, which can more accurately predict the tunnel water gushing volume.

[0069] Among them, the specific calculation process of the surrounding rock permeability coefficient is shown in the third step below.

[0070] Step 3: Calculate the surrounding rock permeability coefficient corresponding to any water gushing section according to the borehole radius, the water level drop, the length of any water gushing section and the mean orifice flow rate; in specific application, the surrounding rock permeability coefficient corresponding to any water gushing section can be calculated by, for example but not limited to, using the following formula (1).

[0071]

[0072] In the above formula (1), K represents the surrounding rock permeability coefficient corresponding to any water gushing section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, and L represents the length of any water gushing section.

[0073] In this way, through the aforementioned steps S21 to S23 and their sub-steps, the surrounding rock permeability coefficient of each water gushing section can be calculated; then, based on the surrounding rock permeability coefficient and using the hydrogeological analogy method, the water gushing volume of each water gushing section during tunnel excavation can be predicted; wherein, the water gushing volume prediction process can be but is not limited to as shown in the following step S3.

[0074] S3. Based on the first water pressure data, the second water pressure data, the borehole water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section, the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel is calculated; in this embodiment, any water inflow section is taken as an example to illustrate the prediction process of its water inflow, which can be but not limited to the following steps S31 to S34.

[0075] S31. Obtain the drilling radius of the directional drilling and the equivalent radius of the deep-buried tunnel; in this embodiment, the drilling radius and the equivalent radius of the deep-buried tunnel can be pre-stored in the water inflow prediction terminal and can be read when used.

[0076] After obtaining the borehole radius and the equivalent radius of the deep-buried tunnel, the first water head height can be obtained based on the first water pressure data of any water gushing section, the water level drop in any water gushing section can be calculated according to the first water pressure data and the second water pressure data of any water gushing section, and the mean orifice flow rate can be calculated based on the orifice water inflow data; then, the water inflow can be predicted based on this; wherein the aforementioned calculation process can be but is not limited to as shown in the following steps S32 and S33.

[0077] S32. For any water gushing section, based on the first water pressure data of any water gushing section, calculate the first water head height in any water gushing section, and calculate the water level drop in any water gushing section according to the first water pressure data and the second water pressure data of any water gushing section.

[0078] S33. Determine the mean orifice flow rate based on the borehole orifice water inflow data corresponding to any of the water inflow sections; in specific implementation, the calculation process of the first head height and the water level drop can refer to the aforementioned step S23, while the calculation process of the mean orifice flow rate can refer to the aforementioned steps S21 and S22, and the processes will not be repeated one by one.

[0079] After obtaining the aforementioned data, the predicted water inflow of any water inflow section can be calculated in combination with the surrounding rock permeability coefficient of any water inflow section; wherein the prediction process is shown in the following step S34.

[0080] S34. Calculate the predicted water yield of any water gushing section by using the borehole radius, the equivalent radius, the first water head height, the water level drop, the mean orifice flow rate and the surrounding rock permeability coefficient of any water gushing section; in specific implementation, the predicted water yield of any water gushing section can be calculated by, for example but not limited to, using the following formula (2).

[0081]

[0082] In the above formula (2), Q′ represents the predicted water inflow of any water inflow section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, r1 represents the equivalent radius, K represents the surrounding rock permeability coefficient corresponding to any water inflow section, and H0 represents the first head height in any water inflow section.

[0083] In this way, through the aforementioned steps S31 to S34, the predicted water inflow of each water gushing section during the excavation of a deep buried tunnel can be calculated; at the same time, the present embodiment is also provided with an early warning step, that is, when the predicted water inflow of any water gushing section is greater than the water inflow threshold, an alarm prompt is given to alert the construction personnel, thereby preventing construction accidents; further, a disposal plan library can also be set up, that is, the plans are matched in the disposal plan library according to the predicted water inflow, so as to obtain construction disposal plans corresponding to different predicted water inflows, and perform a visual display; based on this, the construction personnel can be assisted to adopt measures to prevent geological disasters caused by water inflow during tunnel excavation.

[0084] In addition, in the present embodiment, weather data of the location of the deep buried tunnel may be collected, wherein the weather data may include but is not limited to temperature, rainfall and snowfall, and water volume change data of the adjacent valleys (the valleys closest to them). The weather data and the predicted water inflow of each of the aforementioned water-gushing sections are then visualized, so that construction personnel can correct the predicted water inflow of each water-gushing section based on the weather data to obtain a corrected predicted water inflow. In this way, the accuracy of the water inflow prediction can be further improved. Of course, an early warning can be issued based on the corrected predicted water inflow, and a disposal plan can be matched. The aforementioned prediction and plan matching process has been explained above and will not be repeated here.

[0085] Thus, through the method for predicting the water inflow of a deep buried tunnel based on directional drilling described in detail in the aforementioned steps S1 to S3, the present invention relies on the dynamic monitoring data of the water pressure and water inflow of a specific water inflow section of the directional drilling during the tunnel exploration stage to calculate the surrounding rock permeability of the water inflow section. Finally, the hydrogeological analogy method can be used to predict the water inflow of the proposed tunnel in the water inflow section based on the surrounding rock permeability and the aforementioned dynamic monitoring data of water pressure and water inflow. Thus, compared with the traditional technology, the present invention does not need to simplify the aquifer characteristics and boundary conditions, which can improve the accuracy of the prediction. At the same time, the present invention does not require a large amount of exploration and a large amount of test data, and therefore can reduce costs while improving efficiency. Therefore, the present invention is very suitable for large-scale application and promotion in the field of tunnel exploration water inflow prediction technology.

[0086] like Figure 3 As shown, the second aspect of this embodiment provides a hardware device for implementing the method for predicting water inflow of a deep buried tunnel based on directional drilling described in the first aspect of the embodiment, including:

[0087] A data acquisition unit is used to obtain the first water pressure data, the second water pressure data and the corresponding borehole orifice water inflow data of each water gushing section within a preset time length during the tunnel directional drilling process, wherein the first water pressure data of any water gushing section is measured after blocking any water gushing section and the orifice of the directional drilling hole, and the second water pressure data of any water gushing section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole.

[0088] The permeability coefficient calculation unit is used to determine the surrounding rock permeability coefficient of each water gushing section according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing volume data of each water gushing section within a preset time.

[0089] The water inflow prediction unit is used to calculate the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel based on the first water pressure data, the second water pressure data, the borehole orifice water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section.

[0090] The working process, working details and technical effects of the device provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0091] like Figure 4As shown, the third aspect of this embodiment provides another device for predicting the water inflow of a deep buried tunnel based on directional drilling. Taking the device as an electronic device as an example, it includes: a memory, a processor and a transceiver that are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the method for predicting the water inflow of a deep buried tunnel based on directional drilling as described in the first aspect of the embodiment.

[0092] For example, the memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out memory (FIFO) and / or first-in-last-out memory (FILO), etc. Specifically, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). At the same time, the processor may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state.

[0093] In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. For example, the processor may not be limited to a microprocessor of the STM32F105 series, a reduced instruction set computer (RISC) microprocessor, an X86 or other architecture processor, or a processor with an integrated embedded neural network processor (NPU); the transceiver may be, but is not limited to, a wireless fidelity (WIFI) wireless transceiver, a Bluetooth wireless transceiver, a general packet radio service technology (Genera l Packet Rad ioService, GPRS) wireless transceiver, a ZigBee protocol (a low-power LAN protocol based on the IEEE 802.15.4 standard, ZigBee) wireless transceiver, a 3G transceiver, a 4G transceiver and / or a 5G transceiver, etc. In addition, the device may also include, but is not limited to, a power module, a display screen and other necessary components.

[0094] The working process, working details and technical effects of the electronic device provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0095] The fourth aspect of this embodiment provides a storage medium storing instructions for the method for predicting the water inflow of a deep buried tunnel based on directional drilling as described in the first aspect of the embodiment, that is, the storage medium stores instructions, and when the instructions are executed on a computer, the method for predicting the water inflow of a deep buried tunnel based on directional drilling as described in the first aspect of the embodiment is executed.

[0096] The storage medium refers to a carrier for storing data, which may include but is not limited to a floppy disk, a CD, a hard disk, a flash memory, a USB flash drive and / or a memory stick, etc. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0097] The working process, working details and technical effects of the storage medium provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0098] A fifth aspect of this embodiment provides a computer program product comprising instructions, which, when executed on a computer, causes the computer to execute the method for predicting water inflow in a deep buried tunnel based on directional drilling as described in the first aspect of the embodiment, wherein the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0099] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting water inflow in a deep buried tunnel based on directional drilling, characterized in that: include: Obtaining first water pressure data, second water pressure data and corresponding borehole orifice water inflow data of each water inflow section within a preset time period during the tunnel directional drilling process, wherein the first water pressure data of any water inflow section is measured after blocking any water inflow section and the orifice of the directional drilling hole, and the second water pressure data of any water inflow section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole; Determine the surrounding rock permeability coefficient of each water gushing section according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing data of each water gushing section within a preset time period; Based on the first water pressure data, the second water pressure data, the borehole orifice water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section, the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel is calculated.

2. The method according to claim 1, characterized in that: According to the first water pressure data, the second water pressure data and the corresponding borehole orifice water inflow data of each water inflow section within a preset time, the surrounding rock permeability coefficient of each water inflow section is determined, including: For any water gushing section, extract the first stable data section in the first water pressure data, the second stable data section in the second water pressure data, and the third stable data section in the water gushing volume data at the borehole orifice corresponding to the any water gushing section, wherein the difference between each water pressure data in the first stable data section and the second stable data section is less than or equal to a first threshold, and the difference between each water gushing volume data in the third stable data section is less than or equal to a second threshold; Calculating the means of the first stable data segment, the second stable data segment and the third stable data segment to obtain a first water pressure mean, a second water pressure mean and an orifice flow mean, respectively; The surrounding rock permeability coefficient corresponding to any water gushing section is calculated based on the first water pressure average value, the second water pressure average value and the orifice flow average value.

3. The method according to claim 2, characterized in that The surrounding rock permeability coefficient corresponding to any water gushing section is calculated according to the first water pressure average value, the second water pressure average value and the orifice flow average value, including: Based on the first water pressure average value, determining a first water head height in any water gushing section, and based on the second water pressure average value, determining a second water head height in any water gushing section; The first water head height, the second water head height and the average value of the orifice flow rate are used to calculate the surrounding rock permeability coefficient corresponding to any water gushing section.

4. The method according to claim 3, characterized in that: Calculating the surrounding rock permeability coefficient corresponding to any water gushing section by using the first water head height, the second water head height and the mean value of the orifice flow rate, including: Obtaining the drilling radius of the directional drilling and the length of any water gushing section; Calculating the difference between the first water head height and the second water head height to obtain the water level drop in any water gushing section; The surrounding rock permeability coefficient corresponding to any water gushing section is calculated according to the borehole radius, the water level drop, the length of any water gushing section and the mean orifice flow rate.

5. The method according to claim 4, characterized in that The surrounding rock permeability coefficient corresponding to any water gushing section is calculated according to the borehole radius, the water level drop, the length of any water gushing section and the mean orifice flow rate, including: According to the following formula (1), the surrounding rock permeability coefficient corresponding to any water gushing section is calculated; In the above formula (1), K represents the surrounding rock permeability coefficient corresponding to any water gushing section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, and L represents the length of any water gushing section.

6. The method according to claim 1, characterized in that Based on the first water pressure data, second water pressure data, borehole inflow data and surrounding rock permeability coefficient corresponding to each water inflow section, the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel is calculated, including: Obtaining the drilling radius of the directional drilling and the equivalent radius of the deep buried tunnel; For any water gushing section, based on the first water pressure data of the any water gushing section, a first water head height in the any water gushing section is calculated, and according to the first water pressure data and the second water pressure data of the any water gushing section, a water level drop in the any water gushing section is calculated; Determine the mean orifice flow rate according to the borehole orifice water inflow data corresponding to any of the water inflow sections; The predicted water inflow of any water gushing section is calculated using the borehole radius, the equivalent radius, the first water head height, the water level drawdown, the orifice flow mean value, and the surrounding rock permeability coefficient of any water gushing section.

7. The method according to claim 6, characterized in that The predicted water inflow of any water inflow section is calculated by using the borehole radius, the equivalent radius, the first water head height, the water level drawdown, the orifice flow mean value, and the surrounding rock permeability coefficient of any water inflow section, including: According to the following formula (2), the predicted water inflow of any water inflow section is calculated; In the above formula (2), Q′ represents the predicted water inflow of any water inflow section, Q represents the mean orifice flow rate, s represents the water level drop, r0 represents the borehole radius, r1 represents the equivalent radius, K represents the surrounding rock permeability coefficient corresponding to any water inflow section, and H0 represents the first head height in any water inflow section.

8. A device for predicting water inflow in a deep buried tunnel based on directional drilling, characterized in that: include: A data acquisition unit, used to acquire first water pressure data, second water pressure data and corresponding borehole orifice water inflow data of each water inflow section in a preset time period during the directional drilling process of the tunnel, wherein the first water pressure data of any water inflow section is measured after blocking any water inflow section and the orifice of the directional drilling hole, and the second water pressure data of any water inflow section and the corresponding borehole orifice water inflow data are measured after opening the orifice of the directional drilling hole; A permeability coefficient calculation unit, used to determine the surrounding rock permeability coefficient of each water gushing section according to the first water pressure data, the second water pressure data and the corresponding borehole orifice water gushing data of each water gushing section within a preset time period; The water inflow prediction unit is used to calculate the predicted water inflow of each water inflow section during the excavation of the deep buried tunnel based on the first water pressure data, the second water pressure data, the borehole orifice water inflow data and the surrounding rock permeability coefficient corresponding to each water inflow section.

9. A device for predicting water inflow in a deep buried tunnel based on directional drilling, characterized in that: include: A memory, a processor and a transceiver which are sequentially connected in communication, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the method for predicting water inflow in a deep buried tunnel based on directional drilling as described in any one of claims 1 to 7.

10. A computer program product comprising instructions, characterized in that When the instructions are executed on a computer, the computer is caused to execute the method for predicting water inflow of a deep buried tunnel based on directional drilling as claimed in any one of claims 1 to 7.

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