A drilling parameter wireless acquisition system and method

Abstract

The application discloses the technical field of drilling, and particularly relates to a drilling parameter wireless acquisition system and method, which comprises the following steps: a data acquisition module is used for collecting various drilling parameters according to sensors arranged on a drilling site; an edge computing module is used for preliminarily processing and analyzing data after obtaining original drilling parameters; and a wireless transmission module is used for transmitting data by using a wireless communication module, and different wireless communication technologies can be selected according to actual conditions of the drilling site. The application discards the traditional wired transmission of a large number of cables, and does not need complex construction such as ditching, wire burying and overhead wiring. On a complex offshore drilling platform or a mountain drilling site, the wireless acquisition system only needs to install sensor nodes and wireless communication equipment, so that the manpower, material resources and construction period are greatly reduced, and the initial construction cost is significantly reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of drilling, in particular to a drilling parameter wireless acquisition system and method. BACKGROUND

[0002] In the process of oil and gas exploration and development, drilling operation is the key link to obtain underground resources. In the drilling process, real-time and accurate acquisition of various drilling parameters is of great significance to ensure drilling safety, improve drilling efficiency and optimize drilling technology. The traditional drilling parameter acquisition system mostly uses wired transmission mode, which has many limitations. Specifically, the following problems exist:

[0003] 1. Complicated wiring and high cost: wired transmission mode requires laying a large number of cables in the drilling site, connecting from each parameter acquisition point to the data processing center. In complex drilling environments such as offshore drilling platforms, mountain drilling sites, etc., the wiring work is extremely difficult, requiring a large amount of manpower, material resources and time cost. In a large land drilling site, if cables covering all acquisition points are laid, thousands of meters of cables may need to be laid, involving ditching, cabling, overhead construction and other construction methods, which not only has a long construction period, but also has high material and labor costs.

[0004] 2. Cable damage and maintenance difficulties: the drilling site environment is harsh, and the cable is easily affected by mechanical damage, chemical corrosion, electrical interference and other factors, resulting in data transmission interruption or error. In the drilling process, the movement of heavy mechanical equipment may crush the cable; mud, chemicals and other substances may corrode the cable sheath; strong electromagnetic interference on site may affect the transmission quality of the cable signal. Once the cable fails, it is difficult to find and repair the fault point, which requires a lot of time and effort, and seriously affects the normal progress of drilling operations. According to statistics, the downtime caused by cable failure in some drilling sites can reach dozens of hours or even hundreds of hours per year.

[0005] 3. Poor scalability: when new drilling parameter acquisition points need to be added or the existing acquisition system needs to be upgraded, the wired transmission system has poor scalability. It is necessary to lay new cables, which not only involves a lot of engineering construction, but also may require major changes to the original system architecture, which is costly and difficult to implement. In the drilling operation process, if it is found that a new geological parameter needs to be monitored, the wired transmission system may need to be re-planned and wired, or even may need to be shut down for construction, which is unacceptable for the drilling industry that pursues high efficiency.

[0006] 4. Insufficient real-time performance: In the data transmission process of wired transmission systems, due to factors such as signal transmission distance, cable impedance, etc., data transmission delay may occur, which cannot meet the application scenarios with high requirements for real-time drilling parameters. In some operations that need to adjust the drilling process in a timely manner according to the drilling parameters, such as real-time monitoring of the change of the ground module pressure and timely adjustment of the drilling fluid density, the delay of data transmission may cause the decision not to be timely, increasing the drilling risk. In emergency situations such as well kick, well leakage and other sudden accidents, real-time and accurate drilling parameters are essential for timely and effective measures, and the insufficient real-time performance of the wired transmission system may delay the best treatment time.

[0007] Based on the above, therefore, the application provides a drilling parameter wireless acquisition system and method. SUMMARY

[0008] To solve the above technical problems, according to one aspect of the application, the application provides the following technical solutions:

[0009] A drilling parameter wireless acquisition system comprises:

[0010] A data acquisition module is used to acquire various drilling parameters according to the sensors deployed on the drilling site;

[0011] An edge computing module is used to preliminarily process and analyze the data after obtaining the original drilling parameters;

[0012] A wireless transmission module is used to transmit the data by using a wireless communication module, and different wireless communication technologies can be selected according to the actual situation of the drilling site;

[0013] A data processing module is used to analyze and store the data transmitted by the wireless transmission module; the drilling parameters are analyzed in real time by using data mining and machine learning technologies, valuable information is extracted, and the processed data is stored in a database for subsequent query and analysis;

[0014] A user interaction module is used to provide a drilling operator and a manager with an intuitive and convenient user interface for real-time viewing of drilling parameters, historical data and alarm information, and the user can also configure and manage the system;

[0015] A virtual reality simulation module is used to construct a virtual drilling operation scene according to the acquired real-time drilling parameters and historical data, so that the drilling operator can experience the environment and equipment running state of the drilling site.

[0016] A drilling parameter wireless acquisition method comprises the following specific steps:

[0017] S1, data collection: collect various drilling parameters according to the sensors deployed on the drilling site;

[0018] S2, edge computing: after obtaining the original drilling parameters, the data can be preliminarily processed and analyzed;

[0019] S3, wireless transmission: use a wireless communication module to transmit data, and can select different wireless communication technologies according to the actual situation of the drilling site;

[0020] S4, data processing: analyze and store the data transmitted by the wireless transmission module; through data mining and machine learning technology, the drilling parameters are analyzed in real time, valuable information is extracted, and the processed data is stored in the database for subsequent query and analysis;

[0021] S5, user interaction: provide a user interface for drilling personnel and management personnel to view drilling parameters, historical data, and alarm information in real time;

[0022] S6, virtual reality simulation: according to the collected real-time drilling parameters and historical data, a virtual drilling operation scene is constructed to enable drilling personnel to experience the drilling site environment and equipment running state.

[0023] As a preferred scheme of the drilling parameter wireless collection method, the specific steps of S2 are as follows:

[0024] S21, data receiving and preliminary analysis: first, receive the collected drilling parameters, then parse the data according to the preset data format protocol, and separate different types of drilling parameter data;

[0025] S22, data cleaning and noise reduction: use filtering algorithm and outlier detection algorithm to clean the data;

[0026] S23, feature extraction: extract key feature information from the cleaned data to reduce data volume and highlight data essential features, and perform simple calculation tasks;

[0027] S24, local decision and early warning judgment: based on the extracted features and calculation results, combined with the preset rules and models, make preliminary decisions and early warning judgments locally.

[0028] As a preferred scheme of the drilling parameter wireless collection method, the specific steps of S3 are as follows:

[0029] S31, data receiving and packaging: based on the wireless communication module, the data subjected to edge computing is received, and in order to ensure the integrity and accuracy of the data in the transmission process, the communication module is caused to package the data according to a specific communication protocol, and source address, destination address, data length, and check code information are added, so as to package the original data into a data packet for wireless transmission;

[0030] S32, wireless channel selection and connection establishment: according to the actual situation of the drilling site and the rules preset by the system, the wireless communication module selects a corresponding channel from the available wireless channels for data transmission; and after selecting the channel, the communication module also establishes a wireless connection with the data aggregation node or the data processing center, and performs a handshake authentication operation to ensure the reliability and security of the connection;

[0031] S33, data modulation and transmission: based on the wireless communication module, the packaged data packet is modulated to convert the digital signal into an analog signal form suitable for wireless transmission; the modulated signal is then transmitted to the wireless channel through the antenna, and propagates in space in the form of electromagnetic waves;

[0032] S34, data transmission and relay: if the transmission distance is far or there is signal shielding, the signal will be forwarded and enhanced through the relay node; after the relay node receives the signal, the signal is demodulated, amplified and modulated again, and then forwarded to the next node until the data packet reaches the data aggregation node or the data processing center;

[0033] S35, data receiving and demodulation: the wireless communication module of the data aggregation node or the data processing center receives the electromagnetic wave signal in the wireless channel through the antenna, and then converts it into an electrical signal, and then demodulates the electrical signal to restore the original data packet from the analog signal;

[0034] S36, data unpacking and checking: the wireless communication module of the receiving end unpacks the demodulated data packet, extracts the original data content, and then checks the integrity of the data using the check code, calculates the check value of the data through a specific algorithm, and compares it with the check code in the data packet; if the check passes, it means that the data has not appeared in the transmission process, and the data is transmitted to the data processing module for subsequent processing; if the check does not pass, the sender is required to resend the data according to the retransmission mechanism.

[0035] As a preferred scheme of the drilling parameter wireless acquisition method, the specific steps of S4 are as follows:

[0036] S41, data receiving: receiving data from wireless transmission through a network interface;

[0037] S42, data structuring: store the received data in a unified structured data format for subsequent query and analysis;

[0038] S43, data analysis and mining: use data mining and machine learning techniques to conduct in-depth analysis of structured data; first, through correlation analysis, discover the potential relationship between different parameters to provide basis for optimizing drilling technology; then, use machine learning algorithms to build prediction models to predict drilling failures and issue early warnings to reduce the probability of accidents;

[0039] S44, data storage and management: store the processed data into the database and use distributed file system to realize efficient storage and management of massive data; first, set different storage strategies according to the importance and frequency of use of data; store the commonly used real-time data in high-performance storage devices to ensure fast access; archive the historical data to reduce storage cost; then, regularly backup and maintain the database to ensure the security and integrity of the data.

[0040] As a preferred scheme of the drilling parameter wireless acquisition method, the specific steps of S5 are as follows:

[0041] S51, user login and identity verification: the user opens the web browser or mobile application and enters the system login interface; after inputting the information, the system sends the user input data to the background for verification; the background compares with the user permission database to confirm the legality of the user identity and the permission level, and if the identity verification is passed, the user is allowed to enter the system; otherwise, the user is prompted to re-input or contact the administrator;

[0042] S52, data display and visual presentation: according to the user permission, the corresponding drilling parameter data, historical records and analysis results are obtained from the data processing module; and the collected data can be displayed in the form of dynamic dashboard, with different colors, charts and indicators to distinguish normal and abnormal states;

[0043] S53, user operation receiving and processing: real-time listen to the user's operation on the interface, when the user clicks to view the historical drilling data of a certain time period, the system receives the request and sends the query condition to the data processing module, so that the data processing module retrieves data from the database according to the condition and returns it to the user interaction module for display;

[0044] S54, alarm information pushing and response: when the data processing module detects drilling parameter abnormalities and triggers the early warning mechanism, the user interaction module receives the alarm information and timely pushes the alarm prompt to the user, and displays the specific content of the alarm.

[0045] As a preferred scheme of the drilling parameter wireless acquisition method, the specific steps of S6 are as follows:

[0046] S61, data acquisition and processing: first, real-time drilling parameters and historical data are acquired from the data processing module, then, the data are preprocessed, abnormal values and missing values are cleaned, and format conversion and normalization processing are performed according to simulation requirements, to provide an accurate data basis for subsequent scene construction;

[0047] S62, virtual scene modeling: using three-dimensional modeling software and game engines, a high-precision virtual drilling scene is constructed according to the actual layout, equipment appearance and geological structure of the drilling site, and the processed data are associated with the corresponding elements in the virtual scene, so that parameter changes can be reflected in the scene in real time;

[0048] S63, interactive function development: based on the characteristics of virtual reality devices, corresponding interactive functions are set to facilitate user operation in the virtual scene;

[0049] S64, simulation scene initialization: after the user starts the virtual reality simulation module through the user interaction module, the system will load the constructed virtual scene, and initialize the device state and environmental conditions in the scene according to the actual parameters of the current drilling operation; and at the beginning of the simulation, real-time drilling parameters can be synchronized to the virtual drilling equipment, so that it is in the same initial state as the actual operation, ensuring the authenticity of the simulation;

[0050] S65, real-time data driving and dynamic simulation: during the simulation process, real-time data from the data acquisition module and the data processing module are continuously received, so that the virtual scene can be dynamically updated according to data changes; at the same time, historical data and data analysis models are combined to simulate the influence of different parameter adjustments on the drilling process, providing users with a variety of simulation scenarios;

[0051] S66, user interaction and feedback: when the user operates and makes decisions in the virtual scene, the system can receive the user's interactive instructions in real time, and change the state of the virtual scene and the simulation results according to the instructions; and after the user adjusts the parameters of the virtual drilling equipment, the system can immediately display the drilling effect under the new parameters, and also records the user's operation data for subsequent analysis of user behavior and optimization of simulation functions;

[0052] S67, simulation result evaluation and analysis: after the simulation is completed, the operation data and simulation results of the user in the simulation process are evaluated and analyzed; through the preset evaluation index, an evaluation report is generated to point out the advantages and disadvantages of the user's operation and provide improvement suggestions; at the same time, machine learning algorithms are used to analyze a large amount of simulation data of users to mine the best drilling operation mode and parameter combination, and feedback to the actual drilling operation to assist in optimizing the process.

[0053] Compared with the prior art, the present application has the following advantages:

[0054] 1. Solve the problem of complex wiring and high cost, reduce the deployment cost: abandon the traditional wired transmission of a large number of cable laying, without complex construction such as ditching, burying wire, overhead, etc. In complex offshore drilling platforms or drilling sites in mountainous areas, wireless acquisition system only needs to install sensor nodes and wireless communication equipment, greatly reducing the investment of manpower, material resources and construction period, and significantly reducing the initial construction cost. At the same time, if the position of the acquisition point needs to be adjusted in the later period, there is no need to re-lay a large number of cables, further saving the cost.

[0055] 2. Solve the problem of cable damage and maintenance difficulty, improve the stability of the system: get rid of cable transmission, there is no problem such as cable damage caused by the movement of heavy mechanical equipment, cable skin corrosion caused by mud chemical agents, and signal transmission quality affected by strong electromagnetic interference. At the same time, the system uses data encryption and other technologies to further ensure the stability and reliability of data transmission.

[0056] 3. Solve the problem of poor scalability, flexibly adapt to business changes: the present application has openness and flexibility. When new drilling parameter acquisition points need to be added or the existing acquisition system needs to be upgraded, simple configuration or addition of corresponding equipment can easily realize function expansion without the need to re-plan wiring and large-scale system architecture modification. In the process of drilling operation, if temporary monitoring of new geological parameters is needed, the wireless acquisition system can quickly respond without affecting normal drilling operation, meeting the demand of efficient operation.

[0057] 4. Solve the problem of insufficient real-time performance, ensure timely decision-making: using advanced wireless communication technologies such as 4G / 5G, Wi-Fi, etc. to realize high-speed real-time transmission of data, avoid data transmission delay caused by factors such as signal transmission distance and cable impedance. In scenarios where drilling parameters need to be adjusted in real time, such as real-time monitoring of formation pressure changes and timely adjustment of drilling fluid density, or responding to emergency accidents such as well kick and lost circulation, the operator can obtain accurate parameters in real time and take effective measures in time to reduce drilling risks. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a schematic diagram of the overall framework of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical scheme and advantages of the present application clearer, the embodiments of the present application will be described in further detail below with reference to the drawings.

[0060] The present application provides a drilling parameter wireless acquisition system, please refer to Figure 1 , comprising:

[0061] A data acquisition module is configured to acquire various drilling parameters based on sensors deployed on a drilling site.

[0062] An edge computing module is configured to perform preliminary processing and analysis on the data after acquiring the original drilling parameters.

[0063] A wireless transmission module is configured to transmit the data using a wireless communication module and select different wireless communication technologies according to the actual situation of the drilling site.

[0064] A data processing module is configured to analyze and store the data transmitted by the wireless transmission module, extract valuable information through data mining and machine learning technology, and store the processed data in a database for subsequent query and analysis.

[0065] A user interaction module is configured to provide a user interface for drilling personnel and managers to view drilling parameters, historical data, and alarm information in real time, and configure and manage the system.

[0066] A virtual reality simulation module is configured to construct a virtual drilling operation scene based on real-time drilling parameters and historical data to enable drilling personnel to experience the drilling site environment and equipment operation status.

[0067] A drilling parameter wireless acquisition method includes the following specific steps:

[0068] S1, data acquisition: acquire various drilling parameters based on sensors deployed on a drilling site. These sensor nodes should have low power consumption, high precision, and anti-interference characteristics to adapt to harsh drilling environments. For drilling pressure acquisition, a pressure sensor can be used. For torque acquisition, a torque sensor can be used. For mud flow acquisition, an electromagnetic flowmeter can be used.

[0069] S2, edge computing: perform preliminary processing and analysis on the data after acquiring the original drilling parameters.

[0070] The specific steps of S2 are as follows:

[0071] S21, data reception and preliminary analysis: first, receive the acquired drilling parameters, then parse the data according to the preset data format protocol, and separate different types of drilling parameter data.

[0072] S22, data cleaning and noise reduction: use filtering algorithms and outlier detection algorithms to clean the data. For example, remove random noise in drilling pressure data through median filtering, detect and remove obviously incorrect mud flow data by setting a reasonable threshold, and improve data quality.

[0073] S23, feature extraction: extract key feature information from the cleaned data to reduce data volume and highlight the essential features of the data. When analyzing the drill bit vibration data, extract features such as vibration frequency and amplitude. Calculate statistical quantities such as mean and variance for the rotation speed data over a period of time. At the same time, perform simple calculations, such as calculating the mass flow rate of mud per unit time based on mud flow rate and density;

[0074] S24, local decision and early warning: based on the extracted features and calculation results, combined with pre-set rules and models, make preliminary decisions and early warning judgments locally; if the drilling pressure exceeds the set safety threshold or the torque change rate abnormally increases, generate an early warning information immediately and send it to the user interaction module through the wireless transmission module, reminding the operator to take timely measures without waiting for the data to be transmitted to the data processing center for analysis;

[0075] By setting the edge computing module, the edge computing module can perform preliminary processing and analysis of the data, such as data cleaning, feature extraction, and simple calculations, after the data acquisition module obtains the original drilling parameters. For example, filter the collected drilling pressure data to remove noise interference, and perform real-time statistics on the mud flow rate data to calculate the average flow rate over a period of time. This can reduce the amount of data transmitted wirelessly, reduce network bandwidth pressure, and improve data transmission efficiency. At the same time, it realizes the localization of part of the data processing, quickly responds to some emergency situations, such as when an abnormal mutation in drilling pressure is detected, an early warning signal is immediately sent out without the need to transmit the data to the data processing center for analysis, improving the real-time performance and reliability of the system.

[0076] S3, wireless transmission: use a wireless communication module to transmit data, and can select different wireless communication technologies according to the actual situation of the drilling site;

[0077] The specific steps of S3 are as follows:

[0078] S31, data reception and packaging: based on the wireless communication module, receive the data processed by the edge computing module, and to ensure the integrity and accuracy of the data during transmission, make the communication module package the data according to a specific communication protocol, and add source address, destination address, data length, and checksum information, to package the original data into a wireless transmission data packet;

[0079] S32, wireless channel selection and connection establishment: based on the wireless communication module, select the corresponding channel from the available wireless channels for data transmission according to the actual situation of the drilling site and the pre-set rules of the system; and after selecting the channel, the communication module will also establish a wireless connection with the data aggregation node or data processing center, and perform a handshake authentication operation to ensure the reliability and security of the connection;

[0080] S33, data modulation and transmission: based on the wireless communication module, the packaged data packet is modulated to convert the digital signal into an analog signal suitable for wireless transmission; different wireless communication technologies (such as Wi-Fi, Bluetooth, ZigBee, 4G / 5G, etc.) adopt different modulation methods, such as quadrature amplitude modulation (QAM), frequency shift keying (FSK), etc.; the modulated signal is then transmitted through the antenna to the wireless channel, and propagates in space in the form of electromagnetic waves;

[0081] S34, data transmission and relay: if the transmission distance is far or there is signal shielding, the signal will be forwarded and enhanced through the relay node; after the relay node receives the signal, it will demodulate, amplify and re-modulate the signal, and then forward the signal to the next node until the data packet reaches the data aggregation node or the data processing center; in the transmission process, in order to deal with possible signal interference, fading and other problems, the wireless transmission module uses data encryption, error correction coding, retransmission mechanism and other technologies to ensure correct data transmission; when the receiving end detects data packet errors, it will send a retransmission request to the sending end, and the sending end will resend the corresponding data packet;

[0082] S35, data reception and demodulation: the wireless communication module of the data aggregation node or the data processing center receives the electromagnetic wave signal in the wireless channel through the antenna, and then converts it into an electrical signal, and then demodulates the electrical signal to restore the analog signal to the digital signal and recover the original data packet; in the demodulation process, the receiving end will perform reverse operation according to the modulation method and related parameters of the sending end to ensure accurate data recovery;

[0083] S36, data unpacking and verification: the wireless communication module of the receiving end unpacks the demodulated data packet, extracts the original data content, and then uses the check code to verify the integrity of the data, calculates the check value of the data through a specific algorithm, and compares it with the check code in the data packet; if the verification is passed, it means that the data has not been error in the transmission process, and the data is transmitted to the data processing module for subsequent processing; if the verification fails, the sender is required to resend the data according to the retransmission mechanism;

[0084] S4, data processing: analyze and store the data transmitted by the wireless transmission module; through data mining and machine learning technology, real-time analysis of drilling parameters is performed to extract valuable information, and the processed data is stored in the database for subsequent query and analysis;

[0085] The specific steps of S4 are as follows:

[0086] S41, data reception: receiving data from wireless transmission through network interface;

[0087] S42, data structuring: store the received data in a unified structured data format for subsequent query and analysis;

[0088] S43, data analysis and mining: use data mining and machine learning techniques to conduct in-depth analysis of structured data; first, through correlation analysis, discover the potential relationship between different parameters, such as analyzing the correlation between drilling pressure and drill bit wear rate, to provide basis for optimizing drilling technology; then, use machine learning algorithms to build prediction models to predict drilling failures (such as drill bit damage, well wall collapse, etc.), issue early warnings and reduce the probability of accidents;

[0089] S44, data storage and management: store the processed data in the database, and use distributed file systems (such as HDFS) and NoSQL databases (such as MongoDB) to achieve efficient storage and management of massive data; first, set different storage strategies according to the importance and frequency of use of data; store commonly used real-time data in high-performance storage devices to ensure fast access; archive historical data to reduce storage costs; then, regularly back up and maintain the database to ensure data security and integrity;

[0090] S5, user interaction: provide a user interface for drilling personnel and managers to view drilling parameters, historical data, and alarm information in real time;

[0091] The specific steps of S5 are as follows:

[0092] S51, user login and identity verification: the user opens the web browser or mobile application and enters the system login interface; after entering the information, the system sends the user's input data to the background for verification; the background compares the user's identity and permission level with the user's permission database to confirm the legality of the user's identity and permission level; if the identity verification is passed, the user is allowed to enter the system; otherwise, the user is prompted to re-enter or contact the administrator;

[0093] S52, data display and visual presentation: according to user permissions, obtain corresponding drilling parameter data, historical records and analysis results from the data processing module; and can display the collected data in the form of a dynamic dashboard, using different colors, charts and indicators to distinguish normal and abnormal states. For example, when the mud density is below the safety threshold, the relevant data area is highlighted in red; use line charts, bar charts and other visualization tools to show the trend of parameters over time or the comparison of parameters under different working conditions, making it easy for users to understand the drilling operation status;

[0094] S53, user operation receiving and processing: real-time monitoring of user operations on the interface, when the user clicks to view historical drilling data for a certain time period, the system receives the request and sends the query conditions to the data processing module, so that the data processing module retrieves data from the database according to the conditions and returns it to the user interaction module for display;

[0095] S54, alarm information pushing and response: when the data processing module detects drilling parameter abnormalities and triggers the early warning mechanism, the user interaction module receives the alarm information and timely pushes the alarm prompt to the user, and displays the specific content of the alarm;

[0096] S6, virtual reality simulation: according to the collected real-time drilling parameters and historical data, a virtual drilling operation scene is constructed to enable drilling operation personnel to experience the environment and equipment running state of the drilling site;

[0097] The specific steps of S6 are as follows:

[0098] S61, data acquisition and processing: first, acquire real-time drilling parameters and historical data from the data processing module, including drilling pressure, torque, mud flow, depth, etc., then preprocess the data, clean up abnormal values and missing values, and perform format conversion and normalization processing according to the simulation requirements, to provide accurate data basis for subsequent scene construction;

[0099] S62, virtual scene modeling: using three-dimensional modeling software (such as 3dsMax, Maya) and game engines (such as Unity, UnrealEngine), according to the actual layout, equipment appearance and geological structure of the drilling site, a high-precision virtual drilling scene is constructed, and the processed data is associated with the corresponding elements in the virtual scene, so that parameter changes can be reflected in the scene in real time; for example, when the drilling pressure changes, the contact state of the virtual drill bit and the ground module changes accordingly;

[0100] S63, interactive function development: based on the characteristics of virtual reality devices (such as VR headsets, VR gloves, motion sensing devices), set up corresponding interactive functions, such as gesture recognition, voice commands and other interactive methods, to facilitate user operation in the virtual scene;

[0101] S64, simulation scene initialization: after the user starts the virtual reality simulation module through the user interaction module, the system will load the constructed virtual scene, and initialize the device state and environmental conditions in the scene according to the actual parameters of the current drilling operation; and at the beginning of the simulation, real-time drilling parameters can be synchronized to the virtual drilling equipment, so that it is in the same initial state as the actual operation, ensuring the authenticity of the simulation;

[0102] S65, real-time data driving and dynamic simulation: during the simulation process, real-time data of the data acquisition module and the data processing module are continuously received to dynamically update the virtual scene according to data changes; when the drilling pressure changes, the drilling speed and stress state of the virtual drill bit change accordingly; when the mud flow changes, the liquid level of the virtual mud pipeline and mud pool fluctuates; at the same time, historical data and data analysis models are combined to simulate the influence of different parameter adjustments on the drilling process, and multiple simulation scenarios are provided for users, such as simulating the change of drilling efficiency after increasing the speed;

[0103] S66, user interaction and feedback: when the user operates and makes decisions in the virtual scene, the system can receive the user's interactive instructions in real time and change the state of the virtual scene and the simulation results according to the instructions; and after the user adjusts the parameters of the virtual drilling equipment, the system can immediately display the drilling effect under the new parameters, such as the change of drilling speed and equipment wear; at the same time, the user's operation data is recorded for subsequent analysis of user behavior and optimization of simulation functions;

[0104] S67, simulation result evaluation and analysis: after the simulation is completed, the operation data and simulation results of the user in the simulation process are evaluated and analyzed; through the preset evaluation indicators (such as drilling efficiency, equipment wear, accident rate, etc.), an evaluation report is generated to point out the advantages and disadvantages of the user's operation and provide improvement suggestions; at the same time, machine learning algorithms are used to analyze a large amount of user simulation data to mine the best drilling operation mode and parameter combination and feed back to the actual drilling operation to assist in optimizing the process.

[0105] By setting the virtual reality simulation module, it helps the operating personnel to quickly master complex drilling operation skills and process optimization methods. At the same time, in the training of new employees, the module can simulate various common and rare drilling accident scenarios, allowing new employees to perform emergency handling drills in a safe virtual environment, improving their ability to respond to unexpected situations and reducing the risk of mistakes in actual operation.

[0106] Although the present application has been described above with reference to the implementation, various improvements can be made and equivalent substitutions can be made to the components thereof without departing from the scope of the present application. In particular, as long as there is no structural conflict, the features in the disclosed embodiments of the present application can be combined with each other in any way, and the combinations are not exhaustively described in the specification only for the purpose of saving space and resources. Therefore, the present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A wireless drilling parameter acquisition system, characterized in that, include: The data acquisition module is used to collect various drilling parameters based on sensors deployed at the drilling site; The edge computing module is used to perform preliminary processing and analysis of the data after acquiring the raw drilling parameters; The wireless transmission module is used to transmit data using a wireless communication module, and can select different wireless communication technologies according to the actual conditions at the drilling site. The data processing module is used to analyze and store the data transmitted by the wireless transmission module; it can perform real-time analysis of drilling parameters through data mining and machine learning techniques to extract valuable information, and at the same time, store the processed data in the database for subsequent querying and analysis. The user interaction module provides drilling operators and managers with an intuitive and convenient user interface for real-time viewing of drilling parameters, historical data, and alarm information. It also enables users to configure and manage the system. The virtual reality simulation module is used to construct a virtual drilling operation scenario based on the collected real-time drilling parameters and historical data, so that drilling operators can experience the environment and equipment operation status of the drilling site in an immersive way.

2. A method for wireless acquisition of drilling parameters, characterized in that, The specific steps are as follows: S1, Data Acquisition: Collect various drilling parameters based on sensors deployed at the drilling site; S2, Edge Computing: After acquiring the raw drilling parameters, it can perform preliminary processing and analysis of the data; S3, Wireless Transmission: It uses a wireless communication module to transmit data and can select different wireless communication technologies according to the actual conditions at the drilling site; S4, Data Processing: Analyze and store the data transmitted by the wireless transmission module; use data mining and machine learning techniques to analyze drilling parameters in real time, extract valuable information, and store the processed data in the database for subsequent querying and analysis; S5, User Interaction: Provides drilling operators and managers with an intuitive and convenient user interface for real-time viewing of drilling parameters, historical data, and alarm information; S6, Virtual Reality Simulation: Based on the collected real-time drilling parameters and historical data, a virtual drilling operation scenario is constructed so that drilling operators can experience the environment and equipment operation status of the drilling site in an immersive way.

3. The wireless acquisition method for drilling parameters according to claim 2, characterized in that, The specific steps of S2 are as follows: S21, Data reception and preliminary analysis: First, the collected drilling parameters are received, and then the data is analyzed according to the preset data format protocol to separate different types of drilling parameter data. S22, Data Cleaning and Noise Reduction: Data is cleaned using filtering algorithms and outlier detection algorithms; S23, Feature Extraction: Extract key feature information from the cleaned data to reduce the amount of data and highlight the essential features of the data, while performing simple computational tasks. S24, Local Decision Making and Early Warning Judgment: Based on the extracted features and calculation results, combined with preset rules and models, preliminary decision making and early warning judgment are made locally.

4. The wireless acquisition method for drilling parameters according to claim 2, characterized in that, The specific steps of S3 are as follows: S31, Data Reception and Encapsulation: The wireless communication module receives data processed by edge computing. To ensure the integrity and accuracy of the data during transmission, the communication module encapsulates the data according to a specific communication protocol and adds source address, destination address, data length, and checksum information to package the original data into a data packet for wireless transmission. S32, Wireless Channel Selection and Connection Establishment: Based on the actual situation at the drilling site and the system's preset rules, the wireless communication module selects the corresponding channel from the available wireless channels for data transmission; after selecting the channel, the communication module will also establish a wireless connection with the data aggregation node or data processing center and perform a handshake authentication operation to ensure the reliability and security of the connection. S33, Data Modulation and Transmission: Based on the wireless communication module, the encapsulated data packets are modulated to convert digital signals into analog signals suitable for wireless transmission; the modulated signals are then transmitted through the antenna into the wireless channel and propagate in space in the form of electromagnetic waves. S34, Data Transmission and Relay: If the transmission distance is long or there is signal obstruction, the signal will be forwarded and amplified through a relay node; after receiving the signal, the relay node will demodulate, amplify and remodulate the signal, and then forward the signal to the next node until the data packet reaches the data aggregation node or data processing center. S35, Data reception and demodulation: After the wireless communication module of the data aggregation node or data processing center receives the electromagnetic wave signal in the wireless channel through the antenna, it will convert it into an electrical signal, and then demodulate the electrical signal to restore the analog signal to a digital signal and recover the original data packet. S36, Data decapsulation and verification: The wireless communication module of the receiving end decapsulates the demodulated data packet, extracts the original data content, and then uses the check code to verify the integrity of the data. The check value of the data is calculated by a specific algorithm and compared with the check code in the data packet. If the verification passes, it means that no errors occurred during the data transmission, and the data is transmitted to the data processing module for further processing; if the verification fails, the sender is required to retransmit the data according to the retransmission mechanism.

5. The wireless acquisition method for drilling parameters according to claim 2, characterized in that, The specific steps of S4 are as follows: S41, Data reception: Receive data from wireless transmission via the network interface; S42, Data structuring: Received data is stored in a unified structured data format to facilitate subsequent querying and analysis; S43, Data Analysis and Mining: Utilize data mining and machine learning techniques to conduct in-depth analysis of structured data; first, through correlation analysis, discover potential relationships between different parameters to provide a basis for optimizing drilling processes; then, use machine learning algorithms to build predictive models to predict drilling failures, issue early warnings, and reduce the probability of accidents. S44, Data Storage and Management: Processed data is stored in the database, and a distributed file system is used to achieve efficient storage and management of massive amounts of data; different storage strategies are set according to the importance and frequency of use of the data; frequently used real-time data is stored in high-performance storage devices to ensure fast access; historical data is archived to reduce storage costs; then, the database is backed up and maintained regularly to ensure data security and integrity.

6. The wireless acquisition method for drilling parameters according to claim 2, characterized in that, The specific steps of S5 are as follows: S51, User Login and Authentication: The user opens a web browser or mobile application and enters the system login interface; after entering the information, the system sends the user's input data to the backend for verification; so that the backend can confirm the legitimacy of the user's identity and permission level by comparing it with the user permission database. If the authentication is successful, the user is allowed to enter the system; otherwise, the user is prompted to re-enter the information or contact the administrator. S52, Data Display and Visualization: Based on user permissions, it retrieves relevant drilling parameter data, historical records, and analysis results from the data processing module; and can display the collected data in the form of a dynamic dashboard, using different colors, charts, and indicators to distinguish between normal and abnormal states; S53, User Operation Reception and Processing: Real-time monitoring of user operations on the interface. When a user clicks to view historical drilling data for a certain period of time, the system receives the request and sends the query conditions to the data processing module, so that the data processing module can retrieve data from the database according to the conditions and return it to the user interaction module for display. S54, Alarm Information Push and Response: When the data processing module detects abnormal drilling parameters and triggers the early warning mechanism, the user interaction module receives the alarm information and promptly pushes the alarm prompt to the user, while displaying the specific content of the alarm.

7. The wireless acquisition method for drilling parameters according to claim 2, characterized in that, The specific steps of S6 are as follows: S61, Data Acquisition and Processing: First, real-time drilling parameters and historical data are acquired from the data processing module. Then, the data is preprocessed to clean outliers and missing values. The data is then converted and normalized according to the simulation requirements to provide an accurate data foundation for subsequent scenario construction. S62, Virtual Scene Modeling: Using 3D modeling software and game engine, a high-precision virtual drilling scene is constructed based on the actual layout of the drilling site, the appearance of the equipment and the geological structure. At the same time, the processed data is associated with the corresponding elements in the virtual scene so that parameter changes can be reflected in the scene in real time. S63, Interactive Function Development: Based on the characteristics of virtual reality devices, set up corresponding interactive functions to facilitate user operation in virtual scenes; S64, Simulation Scene Initialization: After the user starts the virtual reality simulation module through the user interaction module, the system will load the pre-built virtual scene and initialize the equipment status and environmental conditions in the scene according to the actual parameters of the current drilling operation; and at the start of the simulation, it can synchronize the real-time drilling parameters to the virtual drilling equipment, so that it is in the same initial state as the actual operation, ensuring the authenticity of the simulation. S65, Real-time Data Driven and Dynamic Simulation: During the simulation process, it continuously receives real-time data from the data acquisition module and the data processing module, so as to dynamically update the virtual scene according to data changes; at the same time, it will combine historical data and data analysis models to simulate the impact of different parameter adjustments on the drilling process, providing users with a variety of simulation scenarios; S66, User Interaction and Feedback: When users operate and make decisions in the virtual scene, the system can receive user interaction commands in real time and change the state of the virtual scene and simulation results according to the commands; and after the user adjusts the parameters of the virtual drilling equipment, the system can immediately display the drilling effect under the new parameters. At the same time, it will also record the user's operation data for subsequent analysis of user behavior and optimization of simulation functions. S67, Simulation Result Evaluation and Analysis: After the simulation is completed, the user's operational data and simulation results during the simulation process are evaluated and analyzed; an evaluation report is generated through preset evaluation indicators to point out the advantages and disadvantages of the user's operation and provide improvement suggestions; at the same time, machine learning algorithms are used to analyze a large amount of user simulation data to discover the best drilling operation mode and parameter combination, and feed it back to the actual drilling operation to assist in optimizing the process.

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