Acquisition equipment for drilling construction data

Abstract

The invention provides drilling construction data acquisition equipment, and relates to the technical field of drilling. The drilling construction data acquisition equipment comprises a drilling drill rod and Hall effect sensors, the Hall effect sensors are arranged on a rack of a drilling machine, the rack is located on the ground surface, the drilling drill rod is located underground, and the Hall effect sensors are arranged in an annular or matrix array mode; a plurality of permanent magnets are embedded in the outer surface of the drilling rod, the distance between the permanent magnets is 10 cm, the outer surfaces of the permanent magnets are all provided with wear-resistant coatings, and the wear-resistant coatings are made of silicon carbide materials. According to the drilling construction data acquisition equipment provided by the invention, through the magnetic induction sensor and the AI technology, the precision, efficiency and safety of drilling construction are greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of drilling, in particular to a device for collecting drilling construction data. Background Art

[0002] The main purpose of drilling construction is to detect underground geological structures, collect samples and obtain underground resources, including oil, natural gas, minerals and groundwater. In addition, drilling also helps geologists study geological history, predict resource distribution, monitor environmental conditions, and evaluate underground geological conditions before building construction to ensure foundation safety. The current drilling construction process usually includes several steps: first, conduct on-site surveys and preparations, determine the drilling location, and conduct site cleaning and equipment installation; then select and install suitable drilling rigs (such as rotary drilling rigs, impact drilling rigs or vibration drilling rigs) according to the drilling target, and then penetrate the formation layer by layer through the drill rod and drill bit. During the drilling process, mud or other coolants are used to cool the drill bit and carry drill cuttings. After that, core samples are collected for analysis or resource extraction according to specific purposes. Real-time monitoring and measurement are required throughout the process, and parameters such as drilling depth, drilling speed and drilling pressure are monitored through downhole measurement tools. After the drilling is completed, the borehole is closed or repaired to prepare for subsequent construction.

[0003] Although existing drilling technology has been widely used in many fields, it mainly relies on mechanical means and basic sensors to complete the entire drilling process. This traditional technology has many shortcomings. First, since mechanical equipment and basic sensors are easily affected by the environment, the measurement accuracy and real-time monitoring capabilities are limited, making it difficult to accurately and continuously track and adjust the drilling process. Secondly, the drilling process is highly dependent on manual operation, and many steps require operators to monitor and adjust manually in real time, increasing the risk of human error. In addition, the existing system is relatively weak in data collection and analysis capabilities, and it is impossible to conduct in-depth analysis of historical data, and it is difficult to provide intelligent operation suggestions through data, which affects the efficiency and quality of construction decisions. Finally, traditional equipment lacks an effective fault prediction mechanism and can usually only be shut down for maintenance after a problem occurs, resulting in a long maintenance cycle and reducing overall operational efficiency. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a drilling construction data acquisition device, which solves the problems of the prior art such as insufficient accuracy and real-time performance, high dependence on manual operation, and limited data analysis capabilities.

[0005] To achieve the above object, the present invention is implemented by the following technical scheme: a device for collecting drilling construction data, comprising a drilling rod and a Hall effect sensor, wherein the Hall effect sensor is arranged on a frame of a drilling rig, the frame is located on the surface, the drilling rod is located underground, and the Hall effect sensor is arranged in a ring or matrix array;

[0006] A plurality of permanent magnets are embedded in the outer surface of the drilling rod, and the spacing between the plurality of permanent magnets is 10CM. The outer surfaces of the plurality of permanent magnets are provided with a wear-resistant coating, and the wear-resistant coating is made of silicon carbide material.

[0007] Preferably, a transition connecting rod is threadedly sleeved on the upper end of the drilling rod.

[0008] Preferably, the lower end of the drilling drill rod is connected to a drilling drill bit, and a drill bit blade is fixedly provided at the lower end of the drilling drill bit.

[0009] A drilling construction data acquisition system, comprising a data acquisition layer, the data acquisition layer is connected to an edge computing and AI layer, the edge computing and AI layer is connected to a user interaction and control layer, and the user interaction and control layer is connected to a cloud storage and analysis layer;

[0010] The data acquisition layer collects data through Hall effect sensors, and the Hall effect sensors are connected to the data interface. The edge computing and AI layer includes a data processing module and an AI analysis module. The user interaction and control layer includes an HMI interface and a control system. The cloud storage and analysis layer includes a cloud storage server and a remote monitoring and analysis platform.

[0011] Preferably, the data processing module is responsible for signal preprocessing, including filtering and denoising, and the AI ​​analysis module will analyze the processed data through a preset machine learning model to predict and identify anomalies.

[0012] Preferably, the HMI interface provides real-time data and analysis results for operators to monitor and make decisions, and the control system is used to receive and execute control commands and adjust the drilling process.

[0013] Preferably, the cloud storage server is used to store historical data for subsequent analysis and model training, and the remote monitoring and analysis platform is used for further analysis and strategy optimization to improve the efficiency of the long-term operation of the system.

[0014] The present invention provides a drilling construction data collection device, which has the following beneficial effects:

[0015] The present invention provides a drilling construction data collection device. The present invention uses Hall sensors to enable the system to monitor formation information in real time and accurately, and is not easily affected by environmental changes, thereby ensuring high precision and continuity of measurement. Secondly, through the integration of edge computing and AI algorithms, the dependence on manual operation is greatly reduced. Real-time data processing and intelligent analysis not only reduce the risk of human errors, but also can automatically adjust drilling parameters to improve construction stability and efficiency. In addition, with the help of cloud storage and analysis platforms, the system can conduct in-depth analysis of a large amount of historical data, provide intelligent operation suggestions and strategy optimization, and provide strong support for construction decisions. Most importantly, the present invention also has a fault prediction function. Through abnormality detection and early warning, preventive measures can be taken before problems occur, reducing downtime and maintenance costs, and significantly improving overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the drill pipe axis side of the present invention;

[0017] Figure 2 It is a schematic diagram of the system flow of the present invention.

[0018] Among them, 1. transition connecting rod; 2. permanent magnet; 3. drill bit blade; 4. drilling drill rod; 5. drilling drill bit. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1

[0021] like Figure 1 As shown, an embodiment of the present invention provides a device for collecting drilling construction data, including a drilling rod 4 and a Hall effect sensor, wherein the Hall effect sensor is arranged on a frame of a drilling rig, the frame is located on the surface, the drilling rod 4 is located underground, and the Hall effect sensor is arranged in a ring or matrix array;

[0022] A plurality of permanent magnets 2 are embedded in the outer surface of the drilling rod 4, and the spacing between the plurality of permanent magnets 2 is 10 cm. The outer surfaces of the plurality of permanent magnets 2 are all provided with a wear-resistant coating, and the wear-resistant coating is made of silicon carbide material.

[0023] The upper end of the drilling rod 4 is threadedly sleeved with a transition connecting rod 1. The lower end of the drilling rod 4 is connected with a drilling drill bit 5, and the lower end of the drilling drill bit 5 is fixedly provided with a drill bit blade 3.

[0024] The magnetic marker permanent magnet 2 set on the surface of the drilling rod 4 is a passive permanent magnet. The drilling rod 4 is a geological drill rod used in conjunction with a geological drill rig. It does not require power and does not transmit signals. The main function of these magnetic markers is to provide a magnetic field change signal when the drilling rod 4 rotates and passes by. The Hall effect sensor is installed in the ground section of the drilling rig and is responsible for detecting the magnetic field changes generated when the magnetic marker passes by. The sensor itself is fixed in the installation position and passively senses the magnetic field changes through its sensing element. Whenever the magnetic marker passes through the sensor, it will generate a corresponding electrical signal pulse in the circuit. These electrical signal pulses are transmitted to the ground control system through the sensor's connecting cable, which involves a wired connection.

[0025] The control system calculates the distance and change of the drill rod movement based on the frequency and quantity of the signal generated. The magnetic induction sensor (Hall effect sensor) itself is a wired component, and the signal it generates is transmitted to the data processing module via a cable. This process does not require wireless transmission because the signal path is through the fixed mounting structure of the drilling rig.

[0026] From the output of the processing module to the console display or other remote monitoring, wired or wireless communication technology is required. If wireless transmission is used, this stage may cover the use of Wi-Fi or 4G / 5G for data upload or remote monitoring.

[0027] Example 2

[0028] like Figure 2 As shown, an embodiment of the present invention provides a drilling construction data acquisition system, including a data acquisition layer, the data acquisition layer is connected to an edge computing and AI layer, the edge computing and AI layer is connected to a user interaction and control layer, and the user interaction and control layer is connected to a cloud storage and analysis layer.

[0029] The data acquisition layer collects data through Hall effect sensors, and the Hall effect sensors are connected to the data interface. The edge computing and AI layer includes a data processing module and an AI analysis module. The user interaction and control layer includes an HMI interface and a control system. The cloud storage and analysis layer includes a cloud storage server and a remote monitoring and analysis platform.

[0030] The data processing module is responsible for signal preprocessing, including filtering and denoising. The AI ​​analysis module will analyze the processed data through the preset machine learning model to predict and identify anomalies. The HMI interface provides real-time data and analysis results for operators to monitor and make decisions. The control system is used to receive and execute control commands and adjust the drilling process. The cloud storage server is used to save historical data for subsequent analysis and model training, and the remote monitoring and analysis platform is used for further analysis and strategy optimization.

[0031] Data acquisition module program

[0032]

[0033]

[0034]

[0035]

[0036]

[0037] The program starts a Web server and provides a real-time monitoring interface where users can view drilling depth and system status.

[0038] Through the detailed description of the above program modules, the system of the present invention realizes a complete closed loop from data acquisition, signal processing, AI detection to user interface.

[0039] The present invention uses a combination of a magnetic identification permanent magnet 2 and a Hall effect sensor, which can accurately identify the position of the drill rod and achieve high-precision depth measurement. Compared with other traditional measurement technologies, such as mechanical measurement or optical measurement, this method has higher reliability and consistency. And through real-time data acquisition and processing, the depth change can be continuously monitored during the drilling process. Real-time ensures that the drilling operation can be quickly adjusted according to the actual data to optimize the drilling efficiency. The present invention uses AI to automatically perform data analysis and anomaly detection, reducing the necessity of manual intervention. This automated feature not only improves measurement efficiency, but also reduces the risk of manual errors. The AI ​​algorithm of the present invention can learn and identify normal and abnormal data patterns, and quickly detect and alarm potential misoperation or equipment failures. This function reduces downtime and production losses caused by equipment problems.

[0040] The present invention has powerful data collection and analysis capabilities and can process large amounts of historical data. This capability helps the drilling team diagnose problems during operations and develop optimization strategies. Machine learning models are used to predict depth and progress, providing operators with scientific support for further optimizing drilling strategies. This support is particularly important in environments with complex and changeable geological conditions. Magnetic markers and sensors can be installed on drilling rigs of different models and uses, and are highly versatile and flexible. They maintain stability in different working environments (high temperature, high pressure, and harsh geological conditions) and adapt to various complex field environment requirements. The sensors and magnetic markers of the present invention are simple to maintain and easy to replace, reducing the complexity and cost of daily maintenance.

[0041] The present invention can also use the preventive maintenance function of the AI ​​detection system to help predict possible equipment failures, develop maintenance plans in advance, and prevent downtime caused by sudden equipment failures. Real-time monitoring and abnormal alarm functions can provide feedback before safety issues occur to ensure the safety of on-site operations. Through system automation, errors in manual input and judgment are reduced, and the safety of on-site operations and the safety and reliability of the system itself are improved. By combining advanced magnetic induction technology with AI capabilities, the present invention can greatly improve the accuracy, efficiency and reliability of the drilling depth measurement system, providing strong technical support and competitive advantages for modern drilling operations.

[0042] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A device for collecting drilling construction data, comprising a drilling rod (4) and a Hall effect sensor, characterized in that: The Hall effect sensors are arranged on a frame of a drilling rig, the frame is located on the surface, the drilling rod (4) is located underground, and the Hall effect sensors are arranged in a ring or matrix array; The outer surface of the drilling rod (4) is embedded with a plurality of permanent magnets (2), the spacing between the plurality of permanent magnets (2) is 10 cm, and the outer surfaces of the plurality of permanent magnets (2) are all provided with a wear-resistant coating, and the wear-resistant coating is made of silicon carbide material.

2. The drilling construction data collection device according to claim 1, characterized in that: The upper end of the drilling rod (4) is threadedly sleeved with a transition connecting rod (1).

3. The drilling construction data collection device according to claim 1, characterized in that: The lower end of the drilling rod (4) is connected to a drilling bit (5), and the lower end of the drilling bit (5) is fixedly provided with a drill blade (3).

4. A drilling construction data acquisition system according to any one of claims 1 to 3, comprising a data acquisition layer, characterized in that: The data collection layer is connected to the edge computing and AI layer, the edge computing and AI layer is connected to the user interaction and control layer, and the user interaction and control layer is connected to the cloud storage and analysis layer; The data acquisition layer collects data through Hall effect sensors, and the Hall effect sensors are connected to the data interface. The edge computing and AI layer includes a data processing module and an AI analysis module. The user interaction and control layer includes an HMI interface and a control system. The cloud storage and analysis layer includes a cloud storage server and a remote monitoring and analysis platform.

5. A drilling construction data acquisition system according to claim 4, characterized in that: The data processing module is responsible for signal preprocessing, including filtering and denoising, and the AI ​​analysis module will analyze the processed data through a preset machine learning model to predict and identify anomalies.

6. A drilling construction data acquisition system according to claim 4, characterized in that: The HMI interface provides real-time data and analysis results for operators to monitor and make decisions. The control system is used to receive and execute control commands and adjust the drilling process.

7. A drilling construction data acquisition system according to claim 4, characterized in that: The cloud storage server is used to store historical data for subsequent analysis and model training, and the remote monitoring and analysis platform is used for further analysis and strategy optimization.

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