Multi-source data fusion deep coal bed gas reservoir forming mode recognition device

Abstract

The invention relates to the technical field of oil-gas exploration, in particular to a multi-source data fusion deep coal bed gas reservoir forming mode recognition device which comprises a multi-source data acquisition module, a data fusion processing module, a mode recognition analysis module and a reservoir forming condition publicity module, and the multi-source data acquisition module comprises a controller, a coal bed gas drilling machine and a data acquisition device. According to the method, dynamic changes of key factors such as reservoir pressure, a thermodynamic process and physical property distribution are tracked and reflected in real time through the established dynamic model, and a more reliable basis is provided for accurately identifying a coalbed methane reservoir forming mode.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration technology, specifically to a device for identifying deep coalbed methane accumulation patterns through multi-source data fusion. Background Technology

[0002] The deep coalbed methane accumulation pattern recognition device based on multi-source data fusion is an intelligent technology and equipment that comprehensively utilizes multi-source information such as geological, geophysical, and engineering data. Its core lies in integrating data from different sources and of different types through data fusion algorithms to improve the recognition accuracy and pattern characterization capability of deep coalbed methane accumulation conditions.

[0003] Existing technologies, such as intelligent geological support systems, first acquire raw data in real time, including geological structure, rock parameters, gas concentration, temperature, and pressure, through downhole sensors, drilling equipment, and geophysical instruments, and simultaneously integrate static information such as geological exploration reports and historical development data. Then, data cleaning and standardization techniques are used to eliminate noise and outliers, and spatial registration and temporal synchronization are used to achieve the fusion processing of multi-source heterogeneous data. Subsequently, a three-dimensional geological model is constructed based on the fused data, and reservoir properties, pressure fields, and stress distribution are dynamically updated. Machine learning algorithms are then used to analyze geological anomalies and disaster risks, and the analysis results are finally displayed in real time through a visualization platform.

[0004] While the aforementioned technologies construct three-dimensional geological models, their data acquisition is largely based on fixed-point measurements at limited time and spatial locations, making it difficult to comprehensively and continuously capture the dynamic changes of geological parameters over time. Therefore, these geological models are relatively static and struggle to reflect the dynamic changes of various factors during deep coalbed methane accumulation. Consequently, there is a need to design a deep coalbed methane accumulation pattern recognition device that integrates multi-source data from a dynamic model to track and reflect the dynamic changes of key factors such as reservoir pressure, thermodynamic processes, and physical property distribution in real time. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a deep coalbed methane accumulation pattern identification device based on multi-source data fusion. This device tracks and reflects the dynamic changes of key factors such as reservoir pressure, thermodynamic processes, and physical property distribution in real time through the established dynamic model, providing a more reliable basis for accurately identifying coalbed methane accumulation patterns.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: a deep coalbed methane accumulation pattern identification device based on multi-source data fusion, comprising the following modules: The multi-source data acquisition module includes a controller, a coalbed methane drilling rig, and a data acquisition device. It is used to drill a borehole using the coalbed methane drilling rig and drill several positioning holes at the bottom of the borehole. The data acquisition device is then submerged into the borehole, and information is collected from the interior of the formation through the data acquisition components in the data acquisition device.

[0007] The data fusion processing module is used to fuse the collected information to obtain fused information, and to build a dynamic model based on the fused information.

[0008] The pattern recognition analysis module is used to analyze reservoir pressure evolution, thermodynamic processes, and physical property distribution using a dynamic model and pattern recognition algorithms, and obtain analysis results.

[0009] The reservoir formation information disclosure module is used to classify the coalbed methane reservoir types based on the analysis results, predict the location of their enrichment areas, and generate development risk warnings. The coalbed methane reservoir types, enrichment areas, and risk warnings are displayed to staff in real time.

[0010] The technical principles of the above solution are as follows: Workers first drill boreholes and positioning holes using a coalbed methane drilling rig. Then, a data acquisition device is inserted into the borehole, and its data acquisition components collect information about the formation interior. After data collection is complete, the data fusion processing module fuses the collected information to obtain fused data. Based on this fused data, a dynamic model is built. Once the dynamic model is established, the pattern recognition analysis module uses the dynamic model and pattern recognition algorithms to analyze reservoir pressure evolution, thermodynamic processes, and physical property distribution, obtaining the analysis results. Finally, the reservoir accumulation status disclosure module divides the coalbed methane accumulation in the reservoir, predicts the location of enrichment areas, generates corresponding development risk warnings, and displays all generated information to the workers in real time.

[0011] The above approach has the following beneficial effects: 1. This invention uses a dynamic model to track and reflect the dynamic changes of key factors such as reservoir pressure, thermodynamic processes, and physical property distribution in real time, providing a more reliable basis for accurately identifying coalbed methane accumulation models.

[0012] 2. By using a coalbed methane drilling rig to drill boreholes and positioning holes, the present invention enables the data acquisition device to be submerged in the borehole to accurately collect internal information of the formation, thereby enabling targeted collection of relevant data on deep coalbed methane accumulation and improving the accuracy of information acquisition.

[0013] 3. This invention uses pattern recognition algorithms to analyze key factors of coalbed methane formation, such as reservoir pressure evolution, thermodynamic processes, and physical property distribution, which can more accurately reveal the intrinsic mechanisms and laws of coalbed methane formation.

[0014] Furthermore, the Kalman filter algorithm is used in the information fusion process.

[0015] Beneficial effects: In the actual information acquisition process, data acquisition devices are subject to various noise interferences, which leads to errors in the measurement data. The Kalman filter algorithm, through its unique recursive estimation mechanism, can make the optimal estimation of noisy measurement data based on the system's state equation and observation equation, thereby reducing the impact of noise in the measurement process.

[0016] Furthermore, the data acquisition device includes a housing, a connecting cylinder fixedly connected to the top of the housing, a telescopic component fixedly connected to the inner top wall of the housing, and a controller for controlling the extension and retraction of the output shaft of the telescopic component.

[0017] A piston box is fixedly connected to the bottom wall of the outer casing, and a fixed frame is fixedly connected to the top of the piston box. A sliding plate is fixedly connected to the output shaft of the telescopic component, and the sliding plate slides vertically with the inner side wall of the fixed frame. A connecting shaft is fixedly connected to the bottom of the sliding plate, and a first trapezoidal block is fixedly connected to the bottom of the connecting shaft. A slider is fixedly connected to the hypotenuse of each of the first trapezoidal blocks. A second trapezoidal block is symmetrically and horizontally slidingly connected to the bottom wall of the fixed frame. A groove is opened on the hypotenuse of each of the second trapezoidal blocks, and the slider is located in the adjacent groove and slides with the groove.

[0018] Each of the second trapezoidal blocks is equipped with a data acquisition component for collecting data.

[0019] Beneficial effects: The vertical sliding engagement between the sliding plate and the inner wall of the fixed frame, as well as the sliding engagement between the first trapezoidal block and the second trapezoidal block through the slider and the groove, ensure the positional stability and movement accuracy of the data acquisition component during the acquisition process. At the same time, it can also keep the data acquisition component close to the borehole wall and stably fix the outer shell to the current stratum, thereby improving the stability and adaptability of the device.

[0020] Furthermore, the data acquisition component includes an extension plate fixedly connected to the second trapezoidal block. The two side walls of the mounting frame have symmetrically opened connection holes. The extension plate extends to the outside of the mounting frame through the adjacent connection holes and is fixedly connected to the acquisition plate. The side of the acquisition plate away from the extension plate is fixedly connected to the sensor array. The two side walls of the housing have symmetrically opened data acquisition holes. The acquisition plate is located in the data acquisition holes and slides laterally with the side wall of the housing.

[0021] Beneficial effects: The design of the extension plate allows the collection plate to move towards the target area, thus keeping the collection plate close to the strata and enabling more accurate perception of the geological parameters of the target area.

[0022] Furthermore, the piston box is equipped with a cooling and impurity removal component for cooling the inside of the outer shell and simultaneously disturbing impurities in the borehole. The cooling and impurity removal component includes an extension rod fixedly connected to the bottom of the first trapezoidal block. The end of the extension rod away from the first trapezoidal block passes through the fixing frame and the top of the piston box and extends into the piston box to be fixedly connected to a piston plate. The piston plate slides vertically with the inner sidewall of the piston box.

[0023] An intake check valve is connected to the piston box, and air supply cylinders are symmetrically connected to the two side walls of the piston box. An exhaust check valve is connected to the connection between the air supply cylinder and the piston box. Agitation holes are symmetrically opened on the outer shell. The end of the air supply cylinder away from the piston box is connected to the outside through the adjacent agitation hole. An inclined guide plate is fixedly connected to the inner side wall of the air supply cylinder, and a cooling cylinder is fixedly connected to the top of the air supply cylinder. The cooling cylinder is connected to the inside of the data acquisition hole.

[0024] Beneficial effects: When the airflow enters the disturbance hole through the cooling cylinder, it can cool the acquisition component located therein. At the same time, the airflow will also enter the borehole through the air supply cylinder and the disturbance hole, disturbing the impurities in the borehole, changing their distribution state in the borehole, reducing the obstruction and interference of impurities on the data acquisition component, and improving the quality of data acquisition.

[0025] Furthermore, the bottom of the housing is provided with a positioning component to improve the stability of the housing. The positioning component includes several positioning pins fixedly connected to the bottom of the housing. Each positioning pin is located in a positioning hole adjacent to it and slides vertically with the inner wall of the positioning hole.

[0026] Beneficial effects: During the operation of the data acquisition device, the housing may be subjected to external impacts. The mating structure of the locating pin and the locating hole can effectively disperse and absorb these external forces. For example, when the housing is subjected to a horizontal external force, the friction and contact force between the locating pin and the sidewall of the locating hole can resist the action of the external force and prevent the housing from moving or tilting; when subjected to a vertical external force, the sliding fit of the locating pin in the locating hole can play a buffering role, reducing the impact of external forces on the internal components of the housing.

[0027] Furthermore, the sensor array includes pressure sensors, temperature sensors, sound wave sensors, gas sensors, displacement sensors, and acceleration sensors.

[0028] Beneficial effects: Pressure sensors can measure the pressure acting on an object, temperature sensors can accurately sense the temperature changes of an object, sound wave sensors can capture sound signals and related characteristics, gas sensors can detect the composition and concentration of various gases in the surrounding environment, displacement sensors can measure the positional movement of an object, and acceleration sensors can acquire the acceleration information of an object. By collecting these data simultaneously, a comprehensive understanding of the physical environment within the mine can be obtained, avoiding the bias and errors caused by measuring a single parameter.

[0029] Furthermore, the mounting bracket is U-shaped.

[0030] Beneficial effects: The U-shaped structure has a unique geometric shape, with its vertical sides and horizontal bottom forming a stable frame. When subjected to external forces, it can effectively disperse stress and reduce local stress concentration.

[0031] Furthermore, dustproof nets are fixedly connected to both the end of the cooling cylinder that connects to the data acquisition hole and the disturbance hole.

[0032] Beneficial effects: The dustproof net can prevent impurities from entering the interior of the casing, thus protecting its internal components.

[0033] Furthermore, the tilt angle of the guide plate is 30°-60°.

[0034] Beneficial effects: When air is delivered to the outside through the air delivery tube, the guide plate can guide the airflow into the cooling tube. Its 30°-60° angle design optimizes the airflow direction, enabling it to smoothly guide part of the airflow into the cooling tube and improve the stability of airflow transmission.

[0035] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of an embodiment of the deep coalbed methane accumulation pattern identification device based on multi-source data fusion of the present invention; Figure 2 This is an isometric schematic diagram of the data acquisition device in an embodiment of the deep coalbed methane accumulation pattern identification device based on multi-source data fusion of the present invention. Figure 3 This is an isometric schematic diagram of the internal structure of the data acquisition device in an embodiment of the deep coalbed methane accumulation pattern identification device based on multi-source data fusion of the present invention. Figure 4 This is a cross-sectional view of the internal structure of the data acquisition device in an embodiment of the deep coalbed methane accumulation pattern identification device based on multi-source data fusion of the present invention. Figure 5 for Figure 4 An enlarged schematic diagram of part A in the middle.

[0037] The reference numerals in the accompanying drawings of the instruction manual include: 1. Outer shell; 2. Connecting cylinder; 6. Electric telescopic rod; 7. Piston box; 8. Fixing frame; 9. Sliding plate; 10. Connecting shaft; 11. First trapezoidal block; 12. Second trapezoidal block; 13. Extension plate; 14. Acquisition plate; 15. Sensor array; 16. Extension rod; 17. Piston plate; 18. Inlet one-way valve; 19. Air supply cylinder; 20. Outlet one-way valve; 21. Guide plate; 22. Cooling cylinder. Detailed Implementation

[0038] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0040] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0041] The following detailed description illustrates the specific implementation method: Example 1:

[0042] As attached Figure 1 As shown: The deep coalbed methane accumulation pattern recognition device based on multi-source data fusion includes a multi-source data acquisition module for information collection, a pattern recognition analysis module for fusing the collected information into fused information and establishing a dynamic model, a pattern recognition analysis module for analyzing reservoir pressure evolution, thermodynamic processes and physical property distribution, and an accumulation status disclosure module for disclosing the coalbed methane accumulation type, the location of the enrichment zone and risk warning to staff.

[0043] The following is a detailed analysis of each module: The multi-source data acquisition module includes a controller, a coalbed methane drilling rig, and a data acquisition device. It is used to drill a borehole using the coalbed methane drilling rig and drill several positioning holes (20-30mm in diameter) at the bottom of the borehole. The data acquisition device is then submerged into the borehole, and information is collected from the interior of the formation through the data acquisition components in the data acquisition device.

[0044] The data fusion processing module is used to fuse the collected information to obtain fused information, and a dynamic model is built based on the fused information. The fusion algorithm employs the Kalman filter algorithm.

[0045] The pattern recognition analysis module is used to analyze reservoir pressure evolution, thermodynamic processes, and physical property distribution through a dynamic model and a pattern recognition algorithm (support vector machine algorithm) to obtain analysis results.

[0046] The reservoir formation information disclosure module is used to classify the coalbed methane reservoir types based on the analysis results, predict the location of their enrichment areas, and generate development risk warnings. The coalbed methane reservoir types, enrichment areas, and risk warnings are displayed to staff in real time.

[0047] like Figure 2 and Figure 3 As shown, the data acquisition device in the multi-source data acquisition module includes a housing 1, a connecting cylinder 2 welded to the top of the housing 1, and a telescopic component bolted to the inner top wall of the housing 1. A controller is used to control the extension and retraction of the output shaft of the telescopic component. In this embodiment, an electric telescopic rod 6 is selected as the telescopic component.

[0048] A piston box 7 is welded to the inner bottom wall of the outer casing 1. A U-shaped fixing frame 8 is welded to the top of the piston box 7. A sliding plate 9 is bolted to the output shaft of the electric telescopic rod 6. The sliding plate 9 slides vertically with the inner side wall of the fixing frame 8. A connecting shaft 10 is integrally formed at the bottom of the sliding plate 9. A first trapezoidal block 11 is integrally formed at the bottom of the connecting shaft 10. A slider (not shown in the figure) is integrally formed on the hypotenuse of the first trapezoidal block 11. A second trapezoidal block 12 is symmetrically and laterally slidably fitted on the inner bottom wall of the fixing frame 8. A groove (not shown in the figure) is opened on the hypotenuse of the second trapezoidal block 12. The slider is located in the adjacent groove and slides with the groove.

[0049] Each of the second trapezoidal blocks 12 is equipped with a data acquisition component for collecting data.

[0050] like Figure 3As shown, the data acquisition component includes an extension plate 13 welded to the second trapezoidal block 12. Symmetrical connection holes are opened on both sides of the fixing frame 8. Each extension plate 13 extends through its adjacent connection hole to the outside of the fixing frame 8, where a data acquisition plate 14 is welded. A sensor array 15 is screwed to the side of the data acquisition plate 14 away from the extension plate 13. Symmetrical data acquisition holes are opened on both sides of the outer casing 1, and the data acquisition plates 14 are located within these holes and slide laterally against the side wall of the outer casing 1. The sensor array 15 includes a pressure sensor (range 0-50MPa, accuracy 0.1%FS), a temperature sensor (measurement range -20℃-150℃, accuracy ±0.5℃), an acoustic sensor (frequency response range 10Hz-100kHz), a gas sensor (detection accuracy at the ppm level), a displacement sensor (measurement range 0-500mm, accuracy ±0.01mm), and an acceleration sensor (range ±10g).

[0051] Specifically, the staff first used a coalbed methane drilling rig to drill boreholes in the monitoring area and drill several positioning holes at the bottom of the boreholes. Then, the staff lowered the data acquisition device into the borehole. Once it reached the bottom of the borehole, the staff used a controller to extend the output shaft of the electric telescopic rod 6, causing it to move the sliding plate 9, which was bolted to it, downwards. Since the two ends of the connecting shaft 10 are integrally formed with the bottom of the sliding plate 9 and the top of the first trapezoidal block 11, respectively, when the sliding plate 9 moves downwards, it can sequentially drive the connecting shaft 10 and the first trapezoidal block 11 downwards. Furthermore, since the second trapezoidal blocks 12 are all slidably engaged with the sliders on the first trapezoidal block 11 through sliding grooves, and the sliders are all located on the hypotenuse of the first trapezoidal block 11, and the sliding grooves are all located on the hypotenuse of the second trapezoidal block 12, when the first trapezoidal block 11 moves downwards, it can exert force on the second trapezoidal block 12 through its hypotenuse, causing it to move laterally, thus moving adjacent second trapezoidal blocks 12 away from each other. Figure 4 As shown. During this process, since both ends of the extension plate 13 are welded to the adjacent second trapezoidal block 12 and the acquisition plate 14 respectively, when the second trapezoidal block 12 moves laterally, it can also drive the adjacent extension plate 13 and the acquisition plate 14 to move laterally in sequence, so that the acquisition plate 14 extends to the outside of the outer shell 1 through the adjacent data acquisition hole to support the outer shell 1. At the same time, it also collects the pressure signal, temperature signal, sound wave signal, gas signal, displacement signal and acceleration signal of the current stratum through the sensor array 15 located on the acquisition plate 14, and completes the data acquisition operation.

[0052] like Figure 4As shown, the piston box 7 is provided with a cooling and impurity removal component for cooling the inside of the outer shell 1 and simultaneously disturbing impurities in the borehole. The cooling and impurity removal component includes an extension rod 16 welded to the bottom of the first trapezoidal block 11. The end of the extension rod 16 away from the first trapezoidal block 11 passes through the fixing frame 8 and the top of the piston box 7 and extends into the piston box 7 to where a piston plate 17 is welded. The piston plate 17 slides vertically with the inner sidewall of the piston box 7.

[0053] like Figure 5 As shown, an inlet check valve 18 is connected to the piston box 7. Air supply cylinders 19 are symmetrically connected to both side walls of the piston box 7. An outlet check valve 20 is connected to each air supply cylinder 19 at its connection point with the piston box 7. Symmetrical disturbance holes are opened on the outer shell 1. The end of each air supply cylinder 19 away from the piston box 7 is connected to the outside through an adjacent disturbance hole. Guide plates 21 with an inclination angle of 30°-60° are welded to the inner side wall of each air supply cylinder 19. A cooling cylinder 22 is welded to the top of each air supply cylinder 19, and the cooling cylinder 22 is connected to the inside of the data acquisition port. Dustproof nets (not shown in the figure) are fixedly adhered to the end of the cooling cylinder 22 connected to the data acquisition port and at the disturbance holes.

[0054] Specifically, since the two ends of the extension rod 16 are welded to the bottom of the first trapezoidal block 11 and the piston plate 17 respectively, when the first trapezoidal block 11 moves downward, it can also drive the extension rod 16 and the piston plate 17 to move downward in sequence, so that the gas in the piston box 7 is squeezed into the air supply cylinder 19 through the exhaust one-way valve 20, and released to the outside of the outer shell 1 through the disturbance hole, disturbing the impurities inside the drill hole, optimizing their distribution, and reducing the situation where the outer shell 1 is unstable due to the obstruction of impurities.

[0055] Meanwhile, the design of the guide plate 21 also allows the gas to enter the cooling cylinder 22 under the guidance of the guide plate 21, and then the gas enters the data acquisition hole to cool the sensor array 15.

[0056] This invention establishes a dynamic model that tracks and reflects the dynamic changes of key factors such as reservoir pressure, thermodynamic processes, and physical property distribution in real time, providing a more reliable basis for accurately identifying coalbed methane accumulation models.

[0057] Example 2:

[0058] As attached Figure 1 As shown, the difference from Embodiment 1 is that the bottom of the outer shell 1 is provided with a positioning component for improving the stability of the outer shell 1. The positioning component includes several positioning pins welded to the bottom of the outer shell 1. The positioning pins are all located in the positioning holes adjacent to them and slide vertically with the inner sidewall of the positioning holes.

[0059] Specifically, when the data acquisition device is submerged to the bottom of the borehole, the locating pin and the locating hole slide vertically together, which can securely fix the outer shell 1 inside the borehole. At this time, when the outer shell 1 is subjected to a horizontal external force, the friction and contact force between the locating pin and the side wall of the locating hole can resist the action of the external force and reduce the movement or tilting of the outer shell 1. When subjected to a vertical external force, the frictional resistance generated by the sliding engagement of the locating pin in the locating hole can play a buffering role and reduce the impact of the external force on the internal components of the outer shell 1.

[0060] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A device for identifying deep coalbed methane accumulation patterns based on multi-source data fusion, characterized in that, Includes the following modules: The multi-source data acquisition module includes a controller, a coalbed methane drilling rig, and a data acquisition device. It is used to drill a borehole using the coalbed methane drilling rig and drill several positioning holes at the bottom of the borehole. The data acquisition device is then submerged into the borehole, and information is collected from the interior of the formation through the data acquisition components in the data acquisition device. The data fusion processing module is used to fuse the collected information to obtain fused information, and to build a dynamic model based on the fused information. The pattern recognition and analysis module is used to analyze reservoir pressure evolution, thermodynamic processes, and physical property distribution through a dynamic model and pattern recognition algorithms to obtain analysis results. The reservoir formation information disclosure module is used to classify the coalbed methane reservoir types based on the analysis results, predict the location of their enrichment areas, and generate development risk warnings. The coalbed methane reservoir types, enrichment areas, and risk warnings are displayed to staff in real time.

2. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 1, characterized in that, When performing information fusion, the fusion algorithm uses the Kalman filter algorithm.

3. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 2, characterized in that, The data acquisition device includes a housing (1), a connecting cylinder (2) is fixedly connected to the top of the housing (1), and a telescopic component is fixedly connected to the inner top wall of the housing (1). The controller is used to control the extension and retraction of the output shaft of the telescopic component. A piston box (7) is fixedly connected to the inner bottom wall of the outer shell (1), a fixed frame (8) is fixedly connected to the top of the piston box (7), a sliding plate (9) is fixedly connected to the output shaft of the telescopic component, and the sliding plate (9) slides vertically with the inner side wall of the fixed frame (8); a connecting shaft (10) is fixedly connected to the bottom of the sliding plate (9), a first trapezoidal block (11) is fixedly connected to the bottom of the connecting shaft (10), and a slider is fixedly connected to the hypotenuse of the first trapezoidal block (11); a second trapezoidal block (12) is symmetrically and horizontally slidingly connected to the inner bottom wall of the fixed frame (8), and a groove is opened on the hypotenuse of the second trapezoidal block (12), and the slider is located in the adjacent groove and slides with the groove. Each of the second trapezoidal blocks (12) is equipped with a data acquisition component for collecting data.

4. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 3, characterized in that, The data acquisition component includes an extension plate (13) fixedly connected to the second trapezoidal block (12). The two side walls of the fixing frame (8) have symmetrical connection holes. The extension plate (13) extends to the outside of the fixing frame (8) through the adjacent connection holes and is fixedly connected to the acquisition plate (14). The side of the acquisition plate (14) away from the extension plate (13) is fixedly connected to the sensor array (15). The two side walls of the outer shell (1) have symmetrical data acquisition holes. The acquisition plate (14) is located in the data acquisition hole and slides laterally with the side wall of the outer shell (1).

5. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 4, characterized in that, The piston box (7) is provided with a cooling and impurity removal assembly for cooling the inside of the outer shell (1) and disturbing the impurities in the borehole. The cooling and impurity removal assembly includes an extension rod (16) fixedly connected to the bottom of the first trapezoidal block (11). The end of the extension rod (16) away from the first trapezoidal block (11) passes through the fixing frame (8) and the top of the piston box (7) and extends to the piston box (7) where a piston plate (17) is fixedly connected. The piston plate (17) slides vertically with the inner sidewall of the piston box (7). The piston box (7) is connected to an inlet check valve (18), and the piston box (7) is symmetrically connected to two side walls of the piston box (7). The connection between the air supply cylinder (19) and the piston box (7) is connected to an outlet check valve (20). The outer shell (1) is symmetrically opened with disturbance holes. The end of the air supply cylinder (19) away from the piston box (7) is connected to the outside through the adjacent disturbance hole. The inner side wall of the air supply cylinder (19) is fixedly connected to an inclined guide plate (21). The top of the air supply cylinder (19) is fixedly connected to a cooling cylinder (22). The cooling cylinder (22) is connected to the inside of the data acquisition hole.

6. The deep coalbed methane accumulation pattern recognition device based on multi-source data fusion according to claim 5, characterized in that, The bottom of the outer shell (1) is provided with a positioning component for improving the stability of the outer shell (1). The positioning component includes several positioning pins fixedly connected to the bottom of the outer shell (1). The positioning pins are all located in the positioning holes adjacent to them and slide vertically with the inner sidewall of the positioning holes.

7. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 6, characterized in that, The sensor array (15) includes a pressure sensor, a temperature sensor, an acoustic sensor, a gas sensor, a displacement sensor, and an acceleration sensor.

8. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 7, characterized in that, The fixing frame (8) is U-shaped.

9. The deep coalbed methane accumulation pattern recognition device based on multi-source data fusion according to claim 8, characterized in that, Dustproof nets are fixedly connected to both the end of the cooling cylinder (22) that connects to the data acquisition hole and the disturbance hole.

10. The deep coalbed methane accumulation pattern identification device based on multi-source data fusion according to claim 9, characterized in that, The tilt angle of the guide plate (21) is 30°-60°.

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