Rock layer thickness identification method and device

Abstract

The present invention provides a method and device for identifying the thickness of a rock formation. The method for identifying the thickness of a rock formation includes: controlling a water gun spraying device to clean the hole wall of a target borehole; calling an imaging device to continuously photograph the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images; performing rock formation identification and rock formation thickness identification on the multiple images to obtain the thickness of at least one rock formation. By controlling the water gun spraying device to clean the mud adhering to the inner hole wall of the target borehole, then using the imaging device to take pictures of the hole wall, and performing rock formation thickness identification based on the taken images, computer intelligent identification of the rock formation thickness is realized, replacing manual mechanical work, maximizing efficiency, and making the rock formation thickness accurate, thereby improving the reliability of the rock formation thickness.

Description

Technical Field

[0001] The present invention relates to the technical field of borehole detection, and in particular to a rock layer thickness identification method and device. Background Art

[0002] my country is a large coal producer and consumer. Coal mining and coalbed methane development inevitably require drilling projects in the early stages to extract cores for core documentation. Core documentation (Geological Documentation of DrillCore) refers to the original geological documentation conducted during core drilling.

[0003] At present, core logging in my country is generally completed on-site by geologists, including lithology identification and recording of rock layer thickness. The workload is large and needs to be completed in the shortest possible time, otherwise it will lose its significance in guiding the drilling process and lead to unnecessary economic losses.

[0004] The current core logging work requires dedicated personnel to be responsible, is highly repetitive, and has low efficiency. This is in conflict with the development of intelligent coal mines, with fewer or even no people working in them. If effective intelligent and automated measures are not taken, the development of intelligent coal mines will be restricted. Summary of the invention

[0005] In view of the problems existing in the prior art, an embodiment of the present invention provides a method and device for identifying rock layer thickness.

[0006] The present invention provides a rock layer thickness identification method, comprising:

[0007] Control the water gun spraying equipment to clean the hole wall of the target borehole;

[0008] Calling an imaging device to continuously photograph the hole wall after cleaning from the hole mouth to the hole bottom of the target hole to obtain multiple images;

[0009] The rock layer identification and rock layer thickness identification are performed on the multiple images to obtain the rock layer thickness of at least one rock layer.

[0010] Optionally, the calling imaging device continuously photographs the cleaned hole wall from the hole mouth to the hole bottom of the target hole to obtain multiple images, including:

[0011] The imaging device is called to continuously shoot the cleaned hole wall from the hole mouth to the hole bottom in a manner that the imaging device is lowered to a set height each time shooting, so as to obtain multiple images.

[0012] Optionally, before the imaging device continuously captures the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the imaging device descends by a set height each time to obtain multiple images, the method further includes:

[0013] Obtaining the historical rock layer thickness;

[0014] Determining the thinnest rock layer thickness in the historical rock layer thickness as the set height.

[0015] Optionally, the imaging device is a rotatable imaging device;

[0016] Correspondingly, the step of the imaging device continuously capturing the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images includes:

[0017] Invoking the rotatable imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the rotatable imaging device rotates one full circle each time to obtain multiple images.

[0018] Optionally, the step of performing rock layer identification and rock layer thickness identification on the multiple images to obtain the rock layer thickness of at least one rock layer includes:

[0019] Performing rock layer identification on each image respectively to determine the rock layers shown in each image;

[0020] For each type of rock layer, calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer and the shooting height, where the shooting height represents the actual height of the hole wall presented in the imaging device each time of shooting.

[0021] Optionally, the step of calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer and the shooting height includes:

[0022] Performing rock layer thickness identification on other rock layers in the first image showing the current rock layer to obtain the first rock layer thickness, and performing rock layer thickness identification on the current rock layer in the last image showing the current rock layer to obtain the second rock layer thickness;

[0023] Calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer, the shooting height, the first rock layer thickness, and the second rock layer thickness.

[0024] Optionally, the step of calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer, the shooting height, the first rock layer thickness, and the second rock layer thickness includes:

[0025] When the set height at which the imaging device descends during each shot is greater than the shooting height, multiply the difference between the number of images of the current rock formation and one by the set height to obtain the initial rock formation thickness.

[0026] Add the difference between the initial rock formation thickness and the first rock formation thickness to the second rock formation thickness to obtain the target rock formation thickness of the current rock formation.

[0027] Optionally, before the imaging device is called to continuously shoot the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images, it further includes:

[0028] Use a water scraping device to remove mud from the cleaned hole wall from the orifice to the bottom of the target borehole.

[0029] The present invention also provides a rock formation thickness identification device, including:

[0030] A cleaning module, configured to control a water gun spraying device to clean the hole wall of a target borehole;

[0031] A shooting module, configured to call an imaging device to continuously shoot the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images;

[0032] An identification module, configured to perform rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation.

[0033] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the rock formation thickness identification method as described in any one of the above.

[0034] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the rock formation thickness identification method as described in any one of the above.

[0035] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the rock formation thickness identification method as described in any one of the above.

[0036] The rock formation thickness identification method and device provided by the present invention clean the mud attached to the inner hole wall of the target borehole by calling a water gun spraying device, then use an imaging device to take pictures of the hole wall, and perform rock formation thickness identification based on the taken images, realizing computer intelligent identification of the rock formation thickness, replacing manual mechanical work, maximizing efficiency, and making the rock formation thickness accurate, improving the reliability of the rock formation thickness. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0038] Figure 1 is one of the flow schematic diagrams of the rock layer thickness identification method provided by the present invention;

[0039] Figure 2 is the second of the flow schematic diagrams of the rock layer thickness identification method provided by the present invention;

[0040] Figure 3 is the third of the flow schematic diagrams of the rock layer thickness identification method provided by the present invention;

[0041] Figure 4 is the structural schematic diagram of the rock layer thickness identification device provided by the present invention;

[0042] Figure 5 is the structural schematic diagram of the electronic device provided by the present invention. Detailed implementation manners

[0043] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0044] The following will specifically describe the rock layer thickness identification method provided by the present invention in conjunction with Figures 1 - 3 as shown in the following description.

[0045] Figure 1 is one of the flow schematic diagrams of the rock layer thickness identification method provided by the present invention. Referring to Figure 1 shown in the figure, it includes step 101-step 103, where:

[0046] Step 101: Control the water gun spraying device to clean the hole wall of the target borehole.

[0047] First of all, it should be noted that the execution subject of the present invention can be any electronic device capable of identifying the rock layer thickness, such as any one of a smart phone, a smart watch, a desktop computer, a laptop computer, etc.

[0048] Specifically, the water gun spraying device is a water jet tool for scouring and excavating soil, which can direct a high-speed water flow. When sucking mud, high-pressure water is sent outside the nozzle, and its structural performance directly affects the scouring and excavation effect. Preferably, the water gun spraying device is a rotatable water gun spraying device. Drilling refers to the hole presented after the drill bit processes the solid material. Here, it refers to the hole after drilling the core in the geological exploration area using drilling equipment. The hole wall refers to the side of the drilling, that is, the side wall surrounded by rock layers inside the drilling.

[0049] In practical applications, according to the needs of geological exploration work or projects, a ring core drill bit is used to drill the geological exploration area, and then a core sampling tool is used to take out the cylindrical rock sample from the hole, that is, the core, to obtain the target drilling.

[0050] Furthermore, the execution entity invokes the water gun spraying device to clean the hole wall of the target drilling, removing the mud attached to the hole wall to ensure the cleanliness of the hole wall, avoiding that the captured images cannot clearly show the rock layers, resulting in inaccurate identification of the rock layers and the thickness of the rock layers, or even identification failure, and effectively improving the normal progress of core logging.

[0051] For example, after taking out the core, the water gun spraying device is placed into the target drilling, and the water gun spraying device emits water flow to clean the mud on the hole wall. After the cleaning is completed, the water gun spraying device is removed from the target drilling.

[0052] Step 102: Invoke an imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target drilling to obtain multiple images.

[0053] Specifically, the imaging device refers to a device that forms and records an image using the principle of optical imaging, such as a camera, an imager, etc. An image is also the image captured by the imaging device.

[0054] In practical applications, after the hole wall is cleaned, the imaging device can be placed into the target drilling, and the cleaned hole wall is continuously captured from the orifice to the bottom of the target drilling in sequence, so as to obtain multiple images with the content of the hole wall.

[0055] It should be noted that since the light in the drilling closer to the orifice is stronger and the light in the drilling closer to the bottom of the orifice is weaker, and the drilling depth is generally relatively large, the light in the drilling is not sufficient. In order to ensure that the images can clearly show the rock layer structure of the hole wall, an imaging device based on the principle of infrared imaging, that is, an infrared imaging device, can be used for shooting inside the drilling.

[0056] Step 103: Identify the rock layers and the thickness of the rock layers in the multiple images to obtain the thickness of at least one rock layer.

[0057] Specifically, a rock stratum is a rock that is distributed in strata in a layered manner, referring to a layered rock composed of the same lithology and bounded by two parallel or nearly parallel interfaces.

[0058] In practical applications, since there are different types of rocks, there are also many types of rock strata formed by different rocks, such as sandstone strata, shale strata, etc. Therefore, it is necessary to identify different rock strata based on multiple images and identify the thickness of each rock stratum.

[0059] It should be noted that when identifying rock strata, a rock stratum thickness intelligent identification device can be used to first extract the image features of the rock strata in the image, and then match the image features of the rock strata in the image with the pre-stored image features of each rock stratum to identify the rock strata. Or a pre-trained rock stratum identification model can be used to identify the rock strata in the image. There are many methods for identifying rock strata, and the present invention does not limit this.

[0060] In addition, the water gun spraying device and the rock stratum thickness intelligent identification device can be connected by wire or wirelessly. The wireless connection can be a Bluetooth connection, etc. Correspondingly, the imaging device and the rock stratum thickness intelligent identification device can be connected by wire or wirelessly. Preferably, the imaging device and the rock stratum thickness intelligent identification device are connected by Bluetooth, that is, Bluetooth function units are simultaneously provided on the imaging device and the rock stratum thickness intelligent identification device. The imaging device sends the captured image to the rock stratum thickness intelligent identification device through the connection with the rock stratum thickness intelligent identification device for the rock stratum thickness identification.

[0061] The rock stratum thickness identification method provided by the present invention washes the mud attached to the inner wall of the target borehole by calling the water gun spraying device, then uses the imaging device to take pictures of the borehole wall, and performs rock stratum thickness identification based on the captured images, realizing the computer intelligent identification of the rock stratum thickness, replacing manual mechanical work, maximizing the efficiency, and making the rock stratum thickness accurate, improving the reliability of the rock stratum thickness.

[0062] In one or more alternative embodiments of the present invention, the process of calling the imaging device to continuously take pictures of the washed borehole wall from the orifice to the bottom of the target borehole to obtain multiple images can be specifically implemented as follows:

[0063] Call the imaging device to continuously take pictures of the washed borehole wall from the orifice to the bottom of the target borehole in a manner that the imaging device descends a set height each time a picture is taken, obtaining multiple images.

[0064] Specifically, the set height refers to the height distance between two adjacent shots of the imaging device.

[0065] In practical applications, after the hole wall is cleaned, the imaging device can be placed at the orifice of the target drill hole. The imaging device takes pictures of the hole wall at the orifice. After the shooting is completed, the imaging device is lowered by a set height in the direction towards the bottom of the hole, and then the hole wall at this position is photographed. After the shooting is completed, the imaging device is lowered by the set height in the direction towards the bottom of the hole again for shooting, and so on until the bottom of the target drill hole is reached.

[0066] By the method of lowering the set height each time for shooting, the hole wall is continuously photographed, rather than continuously photographing the hole wall during the process of the imaging device descending at a certain speed. While ensuring that the captured images are sufficient to identify the rock layer thickness, the shooting frequency and the number of shootings are greatly reduced, thereby reducing the number of captured images and power consumption. In addition, due to the reduction of the image data volume, the amount of data processing for processing the images during the rock layer thickness identification process can also be reduced.

[0067] Since the imaging device is called to take pictures in the way of lowering the set height each time for shooting, it is necessary to determine the set height before calling the imaging device for shooting.

[0068] Optionally, the set height can be determined according to the parameters of the imaging device.

[0069] For example, taking the actual height of the hole wall that can be captured by the imaging device each time as the set height, that is, taking the shooting height as the set height. The shooting height represents the actual height of the hole wall presented in the imaging device each time for shooting. In this way, a complete image of the hole wall inside the target drill hole can be ensured with as few images as possible.

[0070] Another example is that in order to avoid errors in the actual descending height during descent, resulting in an incomplete image of the hole wall inside the target drill hole, the set height can be set slightly lower than the shooting height, such as setting the set height = shooting height - X cm. Preferably, X is a value between 1 and 3.

[0071] Optionally, the set height can be determined according to the historical rock layer thickness. That is, before the imaging device is called to continuously photograph the cleaned hole wall from the orifice to the bottom of the target drill hole in the way of lowering the imaging device by the set height each time for shooting to obtain multiple images, it further includes:

[0072] Obtain the historical rock layer thickness;

[0073] Determine the thinnest rock layer thickness in the historical rock layer thickness as the set height.

[0074] Specifically, the historical rock formation thickness refers to the thickness data of various rock formations recorded during previous core logging. For example, the thickness of the sandstone formation is 0.5 m, and the thickness of the coal formation is 1, etc.

[0075] In practical applications, the historical rock formation thickness can be obtained, and the thicknesses of multiple rock formations are recorded in the historical rock formation thickness. The thinnest rock formation thickness is selected from the historical rock formation thickness as the set height.

[0076] For example, if the thickness of the sandstone formation is 0.5 m, which is the thinnest rock formation thickness in the historical rock formation thickness, then the set height can be set to 0.5 m.

[0077] Since the imaging device has a certain shooting height, each captured image includes the hole wall within a certain range above and below the imaging device. For example, the shooting height is 0.2 m, and the set height is the thinnest rock formation thickness of 0.5 m. If the imaging device descends 0.5 m and reaches -0.5 m, the imaging device can capture the hole wall from -0.4 m to -0.6 m; when the imaging device descends another 0.5 m and reaches -1 m, at this time the imaging device can capture the hole wall from -0.9 m to -1.1 m. The distance between the hole walls captured twice is |-0.9| - |-0.6| = 0.3 m, and 0.3 m is less than 0.5 m, that is, the imaging device can capture all the rock formations. Therefore, as long as the descending distance is the thickness of the thinnest rock formation, it can be ensured that each rock formation can be photographed. In this way, the number of captured images is further reduced, and the data processing volume for image recognition is reduced.

[0078] In one or more alternative embodiments of the present invention, the imaging device is a rotatable imaging device; correspondingly, the process of calling the imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images can be as follows:

[0079] Call the rotatable imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole in such a way that the rotatable imaging device rotates one week each time a shot is taken, to obtain multiple images.

[0080] In practical applications, after the hole wall is cleaned, the rotatable imaging device can be placed into the target borehole, and the rotatable imaging device performs a 360° cyclic capture of the hole wall from the orifice to the bottom, that is, it needs to rotate one week each time a shot is taken, to ensure that the hole wall at the same horizontal height can be completely captured. In this way, the integrity of the captured hole wall is ensured. Further, based on the images of the complete hole wall, the rock formation thickness is identified, improving the reliability and accuracy of the identification result.

[0081] It should be noted that during each shooting, the rotatable imaging device can either shoot only one image, which is a panoramic image of the hole wall at this horizontal height, or shoot one image every 90° rotation. After rotating one full circle, four images are obtained, and then these four images are horizontally spliced to obtain a complete image.

[0082] In one implementation manner of the present invention, for the multiple images, rock layer identification and rock layer thickness identification are performed to obtain the rock layer thickness of at least one rock layer. It can be: when there is a repeated area or the hole walls are connected in every two adjacent images in terms of shooting time, the multiple images are vertically spliced in the order of shooting time, and the repeated areas are removed to obtain a spliced image; then different rock layers on the spliced image are identified, and the height of each rock layer on the image is identified. According to the proportional relationship between the height of the image and the shooting height of the imaging device, the height of each rock layer on the image is converted into the rock layer thickness of each rock layer. In this way, the rock layer identification and rock layer thickness identification can be performed after splicing the images, simplifying the process of rock layer thickness identification and improving the efficiency of rock layer thickness identification.

[0083] In another implementation manner of the present invention, the implementation process of performing rock layer identification and rock layer thickness identification on the multiple images to obtain the rock layer thickness of at least one rock layer can be as follows:

[0084] Perform rock layer identification on each image separately to determine the rock layers shown in each image;

[0085] For each type of rock layer, calculate the rock layer thickness of the current rock layer according to the number of images showing the current rock layer and the shooting height, where the shooting height represents the true height of the hole wall presented in the imaging device during each shooting.

[0086] Specifically, the number of images refers to the number of images whose image content contains the current rock layer.

[0087] In practical applications, perform rock layer identification on each image separately to determine which rock layers are shown in each image. Then, for each identified rock layer, determine the images that show the current rock layer and are continuous in terms of shooting time, and count the number of images. Further, calculate according to the number of images showing the current rock layer and the shooting height to obtain the rock layer thickness of the current rock layer. Traverse each rock layer to obtain the rock layer thickness of each rock layer. In this way, by calculating the rock layer thickness of the current rock layer based on the number of images showing the current rock layer and the shooting height, the efficiency and accuracy of determining the rock layer thickness identification can be effectively improved.

[0088] Optionally, when calculating the rock layer thickness of the current rock layer based on the number of images showing the current rock layer and the shooting height, the number of images showing the current rock layer and the shooting height can be input into a set rock layer thickness calculation formula or a pre-trained rock layer thickness recognition model to obtain the rock layer thickness of the current rock layer.

[0089] Optionally, for each image showing the current rock layer, the thickness of the sub-rock layer of the current rock layer in the image can be recognized, and then the thicknesses of the sub-rock layers are added together to obtain the initial rock layer thickness of the current rock layer. Multiply the difference between the number of images showing the current rock layer and one by the difference between the set height and the shooting height to obtain the floating rock layer thickness; when the set height of the imaging device descending during each shooting is greater than the shooting height, the sum of the initial rock layer thickness and the floating rock layer thickness is used to obtain the target rock layer thickness of the current rock layer. When the set height of the imaging device descending during each shooting is less than or equal to the shooting height, the difference between the initial rock layer thickness and the floating rock layer thickness is determined as the target rock layer thickness of the current rock layer. In this way, the obtained rock layer thickness can be more accurate and more reliable.

[0090] Optionally, the process of calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer and the shooting height can be specifically implemented as follows:

[0091] Identify the rock layer thickness of other rock layers in the first image showing the current rock layer to obtain the first rock layer thickness, and identify the rock layer thickness of the current rock layer in the last image showing the current rock layer to obtain the second rock layer thickness;

[0092] Calculate the rock layer thickness of the current rock layer according to the number of images showing the current rock layer, the shooting height, the first rock layer thickness, and the second rock layer thickness.

[0093] Specifically, the first image is the image with the earliest shooting order among all the images showing the current rock layer. The last image is the image with the latest shooting order among all the images showing the current rock layer.

[0094] In practical applications, identify the rock layer thickness of other rock layers except the current rock layer in the first image to obtain the first rock layer thickness, and identify the rock layer thickness of the current rock layer in the last image to obtain the second rock layer thickness. Further, calculate according to the number of images showing the current rock layer, the shooting height, the first rock layer thickness, and the second rock layer thickness to obtain the rock layer thickness of the current rock layer. In this way, the obtained rock layer thickness can be more accurate and more reliable.

[0095] In one or more alternative embodiments of the present invention, the calculating the rock layer thickness of the current rock layer according to the number of images showing the current rock layer, the shooting height, the first rock layer thickness, and the second rock layer thickness includes:

[0096] When the set height at which the imaging device descends during each shot is greater than the shooting height, multiply the difference between the number of images showing the current rock stratum and one by the set height to obtain the initial rock stratum thickness;

[0097] Add the difference between the initial rock stratum thickness and the first rock stratum thickness to the second rock stratum thickness to obtain the target rock stratum thickness of the current rock stratum.

[0098] In practical applications, first determine whether the set height is greater than the shooting height. If so, first calculate the difference between the number of images showing the current rock stratum and one, and then multiply this difference by the set height to obtain the initial rock stratum thickness. Then subtract the first rock stratum thickness from the initial rock stratum thickness and add the second rock stratum thickness to obtain the target rock stratum thickness of the current rock stratum, as shown in Equation 1. In this way, the target rock stratum thickness of the rock stratum can be obtained quickly and accurately, improving the efficiency of rock stratum thickness identification.

[0099] L=(n - 1)*H - a + b (Equation 1)

[0100] In Equation 1, L is the target rock stratum thickness, n is the number of images showing the current rock stratum, H is the set height, a is the first rock stratum thickness, and b is the second rock stratum thickness.

[0101] In one or more alternative embodiments of the present invention, the calculation of the rock stratum thickness of the current rock stratum according to the number of images showing the current rock stratum, the shooting height, the first rock stratum thickness, and the second rock stratum thickness may be: when the set height at which the imaging device descends during each shot is less than or equal to the shooting height, multiply the difference between the number of images showing the current rock stratum and one by the shooting height to obtain the initial rock stratum thickness; multiply the difference between the number of images showing the current rock stratum and one by the difference between the shooting height and the set height to obtain the floating rock stratum thickness; add the second rock stratum thickness to the result of subtracting the difference between the first rock stratum thickness and the floating rock stratum thickness from the initial rock stratum thickness to obtain the target rock stratum thickness of the current rock stratum. In this way, the target rock stratum thickness of the rock stratum can be obtained quickly and accurately, improving the efficiency of rock stratum thickness identification.

[0102] It should be noted that before calling the imaging device to continuously shoot the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images, in order to ensure the clarity of the captured images, it is necessary to determine whether the hole wall meets the cleaning conditions.

[0103] Optionally, to determine whether the hole wall meets the cleaning condition, it can be to determine whether the water output of the water gun spraying device reaches the set water output; it can be to determine whether the cleaning duration of the water gun spraying device reaches the set cleaning duration; it can also be to determine whether the number of times the water gun spraying device cleans the hole wall reaches the set number of times; it can also be to preliminarily photograph the hole wall through an imaging device, perform image recognition on the obtained preliminary photographed picture, and detect whether the clarity of the hole wall in the image reaches the set clarity. If it reaches, then call the imaging device to continuously photograph the cleaned hole wall; if it does not reach, then continue to clean.

[0104] Optionally, to ensure that the hole wall meets the cleaning condition, a water scraping device can also be used to remove mud from the hole wall. That is, before the imaging device is called to continuously photograph the cleaned hole wall from the orifice to the bottom of the target drill hole to obtain multiple images, it further includes:

[0105] Use a water scraping device to remove mud from the cleaned hole wall from the orifice to the bottom of the target drill hole.

[0106] Specifically, the water scraping device refers to tools such as blades, gauze, and brushes that can remove mud.

[0107] In practical applications, after the hole wall is cleaned with a water gun spraying device, to further ensure the cleanliness of the hole wall, a water scraping device can be used to rub the hole wall from the orifice to the bottom of the target drill hole to ensure that the mud is cleaned without affecting the shooting.

[0108] The following combines Figure 2 and Figure 3 to further illustrate the rock layer thickness identification method provided by the present invention. Figure 2 It is the second flow schematic diagram of the rock layer thickness identification method provided by the present invention. Figure 3 It is the third flow schematic diagram of the rock layer thickness identification method provided by the present invention:

[0109] First, use a drilling device to drill a core hole to obtain a target drill hole. Then insert a rotatable water gun spraying device into the target drill hole to clean the hole wall 360°. Next, take out the water gun spraying device from the target drill hole, insert a rotatable infrared imaging device into the target drill hole to photograph the hole wall 360°, and send the image to the rock layer thickness intelligent identification device through the Bluetooth functional unit, that is, perform image reception. The rock layer thickness intelligent identification device identifies the rock layer thickness according to the image, obtains the rock layer thickness and outputs it, that is, rock layer thickness output.

[0110] The following describes the rock layer thickness identification device provided by the present invention. The rock layer thickness identification device described below can be mutually corresponding and referred to with the rock layer thickness identification method described above.

[0111] Figure 4 This is a schematic structural diagram of the rock stratum thickness identification device provided by the present invention. As Figure 4 shown, the rock stratum thickness identification device 400 includes: a cleaning module 401, a photographing module 402, and an identification module 403, where:

[0112] The cleaning module 401 is configured to control a water gun spraying device to clean the hole wall of a target borehole;

[0113] The photographing module 402 is configured to call an imaging device to continuously photograph the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images;

[0114] The identification module 403 is configured to perform rock stratum identification and rock stratum thickness identification on the multiple images, obtaining the rock stratum thickness of at least one rock stratum.

[0115] The rock stratum thickness identification device provided by the present invention cleans the mud adhering to the inner hole wall of a target borehole by calling a water gun spraying device, then uses an imaging device to take pictures of the hole wall, and performs rock stratum thickness identification based on the taken images, realizing computer intelligent identification of rock stratum thickness, replacing manual mechanical work, maximizing efficiency, and making the rock stratum thickness accurate, improving the reliability of the rock stratum thickness.

[0116] Optionally, the photographing module 402 is further configured to:

[0117] Call an imaging device to continuously photograph the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the imaging device descends a set height each time, obtaining multiple images.

[0118] Optionally, the device further includes a determination module, which is configured to:

[0119] Obtain historical rock stratum thickness;

[0120] Determine the thinnest rock stratum thickness in the historical rock stratum thickness as the set height.

[0121] Optionally, the imaging device is a rotatable imaging device;

[0122] Correspondingly, the photographing module 402 is further configured to:

[0123] Call the rotatable imaging device to continuously photograph the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the rotatable imaging device rotates one week each time, obtaining multiple images.

[0124] Optionally, the identification module 403 is further configured to:

[0125] Perform rock formation identification on each image separately to determine the rock formations shown in each image;

[0126] For each type of rock formation, calculate the thickness of the current rock formation based on the number of images showing the current rock formation and the shooting height, where the shooting height represents the true height of the borehole wall presented in the imaging device for each shot.

[0127] Optionally, the identification module 403 is further configured to:

[0128] Perform rock formation thickness identification on other rock formations in the first image showing the current rock formation to obtain a first rock formation thickness, and perform rock formation thickness identification on the current rock formation in the last image showing the current rock formation to obtain a second rock formation thickness;

[0129] Calculate the thickness of the current rock formation based on the number of images showing the current rock formation, the shooting height, the first rock formation thickness, and the second rock formation thickness.

[0130] Optionally, the identification module 403 is further configured to:

[0131] In the case where the set height at which the imaging device descends for each shot is greater than the shooting height, multiply the difference between the number of images showing the current rock formation and one by the set height to obtain an initial rock formation thickness;

[0132] Add the difference between the initial rock formation thickness and the first rock formation thickness to the second rock formation thickness to obtain the target rock formation thickness of the current rock formation.

[0133] Optionally, the device further includes a mud removal module configured to:

[0134] Use a wiper device to perform mud removal on the cleaned borehole wall from the orifice to the bottom of the target borehole.

[0135] Figure 5 Illustrates a schematic structural diagram of an electronic device, such as Figure 5As shown in the figure, the electronic device may include: a processor 510, a communications interface 520, a memory 530, and a communication bus 540. Among them, the processor 510, the communications interface 520, and the memory 530 complete communication with each other through the communication bus 540. The processor 510 may call logical instructions in the memory 530 to execute a rock formation thickness identification method, which includes: controlling a water gun spraying device to clean the hole wall of a target borehole; calling an imaging device to continuously capture images of the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images; performing rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation.

[0136] In addition, when the logical instructions in the above-mentioned memory 530 are implemented in the form of a software functional unit and sold or used as an independent product, they may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0137] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the rock formation thickness identification method provided by the above-mentioned various methods. The method includes: controlling a water gun spraying device to clean the hole wall of a target borehole; calling an imaging device to continuously capture images of the cleaned hole wall from the orifice to the bottom of the target borehole to obtain multiple images; performing rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation.

[0138] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the rock formation thickness identification method provided by the above-mentioned various methods. The method includes: controlling a water gun spraying device to clean the hole wall of a target borehole; calling an imaging device to continuously photograph the cleaned hole wall from the orifice to the bottom of the target borehole to obtain a plurality of images; performing rock formation identification and rock formation thickness identification on the plurality of images to obtain the rock formation thickness of at least one rock formation.

[0139] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0140] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying the thickness of a rock formation, characterized in that, Including: Controlling a water gun spraying device to clean the hole wall of a target borehole; Invoking an imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images; Performing rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation; The step of invoking the imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images, includes: Obtaining historical rock formation thickness; Determining the thinnest rock formation thickness in the historical rock formation thickness as the set height; Invoking the imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the imaging device descends by the set height each time a shot is taken, obtaining multiple images; The step of performing rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation includes: Performing rock formation identification on each image respectively to determine the rock formations shown in each image; For each type of rock formation, performing rock formation thickness identification on the other rock formations in the first image showing the current rock formation to obtain the first rock formation thickness, and performing rock formation thickness identification on the current rock formation in the last image showing the current rock formation to obtain the second rock formation thickness; When the set height by which the imaging device descends each time a shot is taken is greater than the shooting height, multiplying the difference between the number of images showing the current rock formation and one by the set height to obtain the initial rock formation thickness, where the shooting height represents the actual height of the hole wall presented in the imaging device each time a shot is taken; Adding the difference between the initial rock formation thickness and the first rock formation thickness to the second rock formation thickness to obtain the target rock formation thickness of the current rock formation.

2. The method for identifying the thickness of a rock formation according to claim 1, wherein The imaging device is a rotatable imaging device; Correspondingly, the step of invoking the imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images, includes: Invoking the rotatable imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole in a manner that the rotatable imaging device rotates one full circle each time a shot is taken, obtaining multiple images.

3. The method for identifying the thickness of a rock formation according to claim 1, characterized in that, Before the step of invoking the imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images, further includes: Using a mud scraping device to perform mud removal treatment on the cleaned hole wall from the orifice to the bottom of the target borehole.

4. A device for identifying the thickness of a rock formation, characterized in that, Including: A cleaning module configured to control a water gun spraying device to clean the hole wall of a target borehole; A shooting module configured to invoke an imaging device to continuously capture the cleaned hole wall from the orifice to the bottom of the target borehole, obtaining multiple images; An identification module configured to perform rock formation identification and rock formation thickness identification on the multiple images to obtain the rock formation thickness of at least one rock formation; A determination module configured to obtain historical rock formation thickness; determining the thinnest rock formation thickness in the historical rock formation thickness as the set height; The shooting module is specifically configured to call an imaging device to continuously shoot the washed hole wall from the orifice to the bottom of the target borehole in such a way that the imaging device descends by a set height each time, and obtain a plurality of images. The recognition module is specifically configured to perform rock stratum recognition on each image respectively to determine the rock strata shown in each image; for each type of rock stratum, perform rock stratum thickness recognition on other rock strata in the first image showing the current rock stratum to obtain a first rock stratum thickness, and perform rock stratum thickness recognition on the current rock stratum in the last image showing the current rock stratum to obtain a second rock stratum thickness; when the set height of the descent of the imaging device in each shooting is greater than the shooting height, multiply the difference between the number of images showing the current rock stratum and one by the set height to obtain an initial rock stratum thickness, where the shooting height represents the true height of the hole wall presented in the imaging device in each shooting; add the difference between the initial rock stratum thickness and the first rock stratum thickness to the second rock stratum thickness to obtain the target rock stratum thickness of the current rock stratum.

5. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the rock stratum thickness recognition method according to any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the rock stratum thickness recognition method according to any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the rock stratum thickness recognition method according to any one of claims 1 to 3.

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