A communication control method and system based on multi-system integration of oil production

Abstract

The present invention relates to the field of data communication control technology, and in particular to a method and system for integrated communication control based on multiple systems of oil production. The method comprises the following steps: acquiring oil production process data; constructing system function modules for the oil production process data, thereby generating multiple modules of oil production, wherein the multiple modules of oil production include exploration modules, drilling modules, completion modules, oil production modules, oil and gas processing modules, and safety and environmental protection modules; constructing a distributed cluster monitoring network based on the multiple modules of oil production, and generating a distributed network of oil production modules. The present invention improves the efficiency and real-time performance of integrated communication control by constructing and integrating modules of oil production system functions, constructing a distributed cluster monitoring network, transmitting and processing real-time data, and controlling intelligent risk communication.

Description

Technical Field

[0001] The present invention relates to the technical field of data communication control, and in particular to a multi-system integrated communication control method and system based on oil production. Background Art

[0002] With the advancement of oil extraction technology and digital innovation, the application of multi-system integrated communication control methods in the oil industry has gradually matured. Initially, oil extraction relied on traditional manual operations and limited automation systems, and the communication infrastructure was limited, resulting in low production efficiency and increased safety hazards. With the rapid development of computer technology and network communications, oil companies began to introduce automated control systems and remote monitoring technologies to improve the real-time and accuracy of operations. With the rise of the Internet of Things (IoT) and cloud computing technologies, the field of oil extraction has gradually realized the transformation of multi-system integrated communication control. The widespread application of sensor networks enables oil fields to monitor the status of underground reservoirs and the operation of production equipment in real time, and realizes intelligent management of the entire life cycle of oil fields through data collection and remote transmission. At the same time, the advancement of wireless communication technology enables remote control and monitoring systems to operate stably in complex environments, improving operational efficiency and safety. However, the current existing technologies often lack systematic module integration in the process of oil extraction, resulting in insufficient coordination and efficiency of data flow and control processes. At the same time, data backhaul and real-time processing in the process of oil extraction often face delays and inefficiencies, resulting in low efficiency and real-time performance of integrated communication control. Summary of the invention

[0003] Based on this, it is necessary to provide a multi-system integrated communication control method and system based on oil production to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a multi-system integrated communication control method based on oil production is provided, the method comprising the following steps:

[0005] Step S1: Acquire oil production process data; construct system function modules for the oil production process data to generate oil production multi-modules, wherein the oil production multi-modules include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module; construct a distributed cluster monitoring network based on the oil production multi-modules to generate an oil production module distributed network;

[0006] Step S2: collecting the signal data of the geophone of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; performing seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; performing rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmitting the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate the oil production exploration module feedback data;

[0007] Step S3: collecting the well data of the drilling module according to the distributed network of the oil mining module to obtain the well data of the oil mining module; performing an exploitation progress analysis on the well data of the oil mining module to generate the well exploitation progress evaluation data, and transmitting the well exploitation progress evaluation data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation drilling module feedback data; performing well integrity monitoring on the completion module according to the distributed network of the oil mining module to generate the well integrity monitoring data, and transmitting the well integrity monitoring data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation completion module feedback data;

[0008] Step S4: collecting basic oil and gas data of the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; performing response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; performing real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmitting the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data;

[0009] Step S5: Integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety and environmental protection module to generate stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data to generate oil production control transmission instructions.

[0010] The present invention helps to integrate and systematize data at different stages by constructing system function modules of oil production process data, making it easy to manage and analyze. Constructing multiple modules of oil production, including exploration, drilling, completion, oil production, oil and gas processing and safety and environmental protection modules, improves the coordination and overall efficiency of each link in the oil production process. Through the acquisition of seismic wave receiving signal data, high-resolution imaging of underground rock structure is achieved, providing accurate geological information, which is conducive to accurate exploration and resource evaluation. The seismic imaging data is stored and transmitted back to the distributed network in real time, supporting real-time decision-making and further analysis, and improving the efficiency and accuracy of the exploration process. The mine data is collected through the drilling module, and the mining progress is analyzed. The real-time storage and transmission of data are helpful to achieve real-time monitoring and management of the mine mining process. The integrity of the mine is monitored to detect potential safety risks and problems as early as possible, and to ensure the safety and sustainability of production. The response characteristics of basic oil and gas data, such as pressure-production and water content-production response, are collected and analyzed to provide a scientific basis for optimizing production and decision-making. The real-time storage and transmission of data support real-time feedback and optimization of the production process, and improve production efficiency and resource utilization. Integrate the feedback data of exploration, drilling, completion, oil production, and oil and gas processing modules, and conduct phased warnings through the safety and environmental protection module to detect and respond to potential safety risks as early as possible. Based on the warning data, intelligent risk communication control is performed on the distributed network to ensure the safety and stability of the oil production process and reduce production interruptions and losses. Therefore, the present invention improves the efficiency and real-time performance of integrated communication control by modular construction and integration of oil production system functions, construction of distributed cluster monitoring network, real-time data feedback and processing, and intelligent risk communication control.

[0011] Preferably, step S1 comprises the following steps:

[0012] Step S11: Acquire oil production process data;

[0013] Step S12: dividing the oil production process data into oil production stages to generate oil production stage division data;

[0014] Step S13: constructing system function modules according to the data divided by the oil production stage, thereby generating multiple modules for oil production, wherein the multiple modules for oil production include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module;

[0015] Step S14: Deploy sensors based on the oil production multi-module to obtain oil production multi-module sensor deployment data; use the Internet of Things technology to construct a distributed cluster monitoring network for the oil production multi-module sensor deployment data to generate an oil production module distributed network.

[0016] The present invention generates detailed stage division data by dividing the oil production process data into stages, which helps to accurately identify and manage each oil production stage. This refined management can improve resource utilization and production efficiency. According to the stage division data, functional modules such as exploration, drilling, completion, oil production, oil and gas processing and safety and environmental protection are constructed to achieve comprehensive coverage and management of the oil production process. This modular design helps to optimize resource allocation and improve the flexibility and scalability of the system. Based on multi-module sensor deployment and using the Internet of Things technology to build a distributed cluster monitoring network, real-time monitoring and data collection of the oil production process can be achieved. This can not only detect and handle problems in a timely manner, but also improve the accuracy and reliability of data. By building a distributed network, all-round monitoring of each module of oil production is achieved to ensure the stability and security of data transmission. This helps to achieve remote monitoring and management and improve the overall efficiency of the system.

[0017] Preferably, step S2 comprises the following steps:

[0018] Step S21: collecting the seismic detector signal data of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data;

[0019] Step S22: performing signal data preprocessing on the oil production seismic wave receiving signal data to generate standard seismic wave receiving signal data, wherein the signal data preprocessing includes signal denoising, multipath effect removal and signal enhancement; performing seismic imaging on the standard seismic wave receiving signal data to generate an oil production seismic imaging map;

[0020] Step S23: predict the oil and gas reservoir area on the oil production seismic imaging map, so as to generate the oil production oil and gas reservoir area location information data; perform gravity and magnetic exploration based on the oil production oil and gas reservoir area location information data to obtain the oil production area gravity change data and magnetic change data; perform underground rock formation change analysis based on the oil production area gravity change data and magnetic change data to generate underground rock formation change data, and transmit the underground rock formation change data back to the oil production module distributed network for real-time storage to generate oil production exploration module feedback data.

[0021] The present invention can realize large-scale and efficient data collection by using a distributed network to collect seismic detector signal data, ensuring the comprehensiveness and accuracy of the data. The seismic wave receiving signal data is preprocessed by steps such as denoising, removing multipath effects and signal enhancement to generate standard seismic wave receiving signal data, thereby improving the quality and availability of the data. Based on the standard seismic wave receiving signal data, seismic imaging is performed to generate oil production seismic imaging maps, which can provide detailed underground structure images and help accurately locate oil and gas reservoirs. By analyzing the seismic imaging maps, oil and gas reservoir area predictions are performed to generate oil and gas reservoir area location information data, providing a scientific basis for subsequent drilling and mining, and improving resource utilization efficiency. Based on the oil and gas reservoir area location information data, gravity and magnetic exploration is performed to obtain gravity and magnetic change data in the area, which can further verify and supplement the seismic imaging results and provide more comprehensive underground information. Underground rock formation change analysis is performed on gravity and magnetic change data to generate underground rock formation change data, which can help understand the dynamic changes of underground structures and provide data support for long-term mining plans. The underground rock formation change data is transmitted back to the distributed network of the oil extraction module for real-time storage, generating exploration module feedback data, realizing real-time data updating and sharing, and facilitating monitoring and analysis at any time.

[0022] Preferably, step S3 comprises the following steps:

[0023] Step S31: collecting the drilling module mine data according to the oil mining module distributed network to obtain the oil mining mine data, wherein the oil mining mine data includes the mine equipment movement data and the underground environment data;

[0024] Step S32: Analyze the operation status of the mine equipment on the mine equipment motion data to generate the mine equipment operation status data;

[0025] Step S33: Perform mining progress analysis on underground environment data according to the mine equipment operation status data, generate mining progress evaluation data, and transmit the mining progress evaluation data back to the oil mining module distributed network for real-time storage, and generate oil mining drilling module feedback data;

[0026] Step S34: Performing well integrity monitoring on the completion module according to the oil production module distributed network, generating well integrity monitoring data, and transmitting the well integrity monitoring data back to the oil production module distributed network for real-time storage, generating oil production completion module feedback data.

[0027] The present invention collects mine equipment motion data and underground environment data through a distributed network, ensures that comprehensive mine operation and environmental status information is obtained, and provides data support for subsequent analysis and decision-making. The mine equipment motion data is analyzed to generate mine equipment operation status data, which can monitor the working status of the equipment in real time, timely discover and handle equipment failures, and ensure the safety and efficiency of the mining process. According to the equipment operation status data, the underground environment data is analyzed for mining progress, and the mining progress assessment data is generated to help managers understand the current mining progress, optimize resource allocation and mining plans, and improve mining efficiency. The mining progress assessment data is transmitted back to the distributed network for real-time storage, and real-time data update and sharing are realized, which is convenient for managers at all levels to obtain the latest mining progress information at any time and make scientific decisions. According to the distributed network, the mine integrity monitoring of the completion module is performed, and the mine integrity monitoring data is generated, which can timely discover and handle the safety hazards of the mine structure, and ensure the stability and safety of the mine. By real-time monitoring of the mine equipment operation status and the underground environment, potential problems and risks are discovered in time, preventive maintenance and treatment are carried out, and the safety and reliability of the mining process are improved.

[0028] Preferably, step S34 includes the following steps:

[0029] Step S341: collecting wellbore motion sensor data from the completion module according to the distributed network of the oil production module to obtain wellbore motion sensor data;

[0030] Step S342: performing wellbore motion trajectory analysis on the wellbore motion sensor data to generate wellbore motion trajectory data; performing wellbore deviation angle calculation on the wellbore motion trajectory data to obtain wellbore deviation angle data;

[0031] Step S343: evaluating the motion path deviation of the wellbore motion sensor data through the wellbore deviation angle data to obtain the wellbore motion deviation path data; performing wellbore stability analysis based on the wellbore motion deviation path data and the wellbore motion trajectory data to generate the wellbore stability data;

[0032] Step S344: Perform formation environmental pressure analysis on the wellbore motion sensor data based on the preset stress analysis model to generate formation environmental pressure data; perform wellbore integrity assessment based on the wellbore motion trajectory data, wellbore stability data and formation environmental pressure data to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the oil production module distributed network for real-time storage to generate oil production completion module feedback data.

[0033] The present invention collects the wellbore motion sensor data through a distributed network to ensure that the movement of the wellbore is obtained in real time, and to provide accurate data support for subsequent analysis. The wellbore motion sensor data is subjected to trajectory analysis to generate wellbore motion trajectory data, and the wellbore deviation angle is calculated to obtain wellbore deviation angle data. These data can help understand the motion trajectory and inclination of the wellbore and ensure that the path of the wellbore meets the design requirements. The wellbore motion sensor data is evaluated through the wellbore deviation angle data to generate wellbore motion deviation path data. This helps to timely discover and correct the motion deviation of the wellbore and ensure the stability of the wellbore. Based on the wellbore motion deviation path data and the wellbore motion trajectory data, the wellbore stability analysis is performed to generate the wellbore stability data. This can help predict the structural stability of the wellbore and prevent the wellbore from becoming unstable or collapsing. Based on the preset stress analysis model, the formation environmental pressure analysis is performed on the wellbore motion sensor data to generate the formation environmental pressure data. By understanding the formation pressure, the safety and stability of the wellbore can be better evaluated. Based on the wellbore motion trajectory data, wellbore stability data and formation environmental pressure data, the wellbore integrity assessment is carried out to generate the mine integrity monitoring data. This helps to fully understand the health status of the wellbore and ensure its reliability and safety throughout the oil production process. The mine integrity monitoring data is sent back to the distributed network for real-time storage to generate the oil production completion module feedback data. By updating and sharing data in real time, it ensures that managers and technicians can obtain the latest wellbore status information at any time and make timely decisions and adjustments.

[0034] Preferably, step S4 comprises the following steps:

[0035] Step S41: collecting basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data, wherein the basic oil and gas data includes wellhead pressure data, wellhead temperature data, fluid production data and water content;

[0036] Step S42: Perform trend analysis on the fluid production data to generate fluid production trend data;

[0037] Step S43: performing a first response characteristic analysis on the wellhead pressure data and the wellhead temperature data according to the fluid production trend data to generate pressure-production response characteristic data; performing a second response characteristic analysis on the water content according to the fluid production trend data to generate water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the oil production module distributed network for real-time storage to generate oil production module feedback data;

[0038] Step S44: Perform real-time oil and gas monitoring on the oil and gas processing module according to the oil production module distributed network, generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

[0039] The present invention collects basic oil and gas data such as wellhead pressure, wellhead temperature, fluid production and water content in real time through a distributed network to ensure the acquisition of comprehensive and accurate data and provide support for subsequent analysis. Trend analysis of fluid production data and generation of fluid production trend data can help predict the production change trend of oil wells and provide a scientific basis for adjusting production strategies. According to the fluid production trend data, the first response characteristic analysis of the wellhead pressure and wellhead temperature is performed to generate pressure-production response characteristic data. This helps to understand the impact of pressure and temperature on oil well production and optimize production parameters. According to the fluid production trend data, the second response characteristic analysis of the water content is performed to generate water content-production response characteristic data. This helps to monitor and control the water content and prevent water intrusion from affecting oil well production. The pressure-production response characteristic data and the water content-production response characteristic data are transmitted back to the distributed network for real-time storage to generate oil production module feedback data. By updating and sharing data in real time, it is ensured that managers can obtain the latest production information at any time and make timely decisions and adjustments. The oil and gas processing module is monitored in real time based on the distributed network, and the oil and gas processing monitoring data is generated and transmitted back to the distributed network for real-time storage to generate the oil and gas processing module feedback data. This helps to monitor the oil and gas processing process in real time and ensure the efficiency and safety of the processing process.

[0040] Preferably, step S44 includes the following steps:

[0041] Step S441: collecting oil and gas separator data of the oil and gas processing module according to the distributed network of the oil production module to obtain oil and gas processing monitoring data;

[0042] Step S442: extracting oil-gas separator operation data from the oil-gas processing monitoring data to obtain oil-gas separator operation data; performing separation content detection according to the oil-gas separator operation data to generate content detection data, wherein the content detection data includes oil content data, gas content data and water content data;

[0043] Step S443: Calculate the separation efficiency of the oil content data, gas content data and water content data to obtain oil-gas separation efficiency data; use the oil-gas separator operation data to perform separation performance regulation and analysis on the oil-gas separation efficiency data to generate separation performance regulation data, and transmit the separation performance regulation data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

[0044] The present invention collects oil and gas separator data from an oil and gas processing module through a distributed network to obtain oil and gas processing monitoring data. This ensures real-time monitoring of the operating status of the oil and gas separator and helps to find problems in a timely manner. The oil and gas separator operating data is extracted from the oil and gas processing monitoring data to obtain the oil and gas separator operation data. By recording the separator operation data in detail, its operating status can be better understood. Separation content detection is performed according to the oil and gas separator operation data to generate content detection data. The content detection data includes oil content data, gas content data and water content data. This helps to accurately monitor the content of each component in the separation process. The separation efficiency is calculated for the oil content data, gas content data and water content data to obtain oil and gas separation efficiency data. By calculating the separation efficiency, the performance of the separator can be evaluated and necessary adjustments can be made. The oil and gas separator operation data is used to perform separation performance regulation and analysis on the oil and gas separation efficiency data to generate separation performance regulation data. This helps to optimize the operating parameters of the separator and improve the separation efficiency. The separation performance regulation data is transmitted back to the distributed network for real-time storage to generate oil production oil and gas processing module feedback data. By updating and sharing data in real time, managers and technicians can obtain the latest separation performance information at any time and make timely decisions and adjustments.

[0045] Preferably, step S5 comprises the following steps:

[0046] Step S51: Integrate the returned data from the oil production exploration module, the returned data from the oil production drilling module, the returned data from the oil production completion module, the returned data from the oil production production module, and the returned data from the oil production oil and gas processing module to generate an oil production return data set;

[0047] Step S52: Perform mining risk prediction on the oil mining return data set according to the safety and environmental protection module to obtain mining environment risk prediction data; compare the mining environment risk prediction data with the preset standard mining risk threshold, and when the mining environment risk prediction data is greater than or equal to the preset standard mining risk threshold, perform corresponding module warning, thereby generating stage warning data;

[0048] Step S53: Use the stage warning data to sort the stage risk priority control of the distributed network of oil production modules and generate stage risk priority data; perform intelligent risk communication control according to the stage risk priority data, and when the distributed network of oil production modules recognizes the stage warning data, the shutdown instruction priority transmission is performed to the corresponding oil production module according to the stage risk priority data to generate an oil production control transmission instruction.

[0049] The present invention integrates the return data of oil production exploration, drilling, completion, oil production and oil and gas processing modules to generate an oil production return data set. This data integration helps to fully understand the various parameters and states in the entire oil production process and form a complete data chain. According to the safety and environmental protection module, the integrated data set is predicted for production risk to obtain production environment risk prediction data, and compared with the preset standard production risk threshold. When the risk prediction data exceeds the threshold, the system will perform corresponding module warnings and generate stage warning data. This helps to identify potential risks in advance and avoid the occurrence of safety accidents. The distributed network of oil production modules is sorted by stage risk priority control through stage warning data to generate stage risk priority data. This ensures that in an emergency, high-risk areas can be processed first to ensure the safety of the production process. Intelligent risk communication control is performed according to the stage risk priority data. When the system identifies the stage warning data, the corresponding oil production module will be given a priority transmission of the shutdown instruction according to the stage risk priority to generate an oil production control transmission instruction. This intelligent control can respond to risks quickly, take measures in time, and avoid the expansion of accidents. By integrating data from each module and conducting real-time risk prediction and management, real-time monitoring and rapid response to the entire oil extraction process can be achieved. This helps to improve the system's sensitivity and emergency response capabilities.

[0050] Preferably, performing mining risk prediction on the oil mining return data set according to the safety and environmental protection module includes:

[0051] The oil production feedback data set is divided into a model training set and a model test set;

[0052] The model training set is trained using the random forest algorithm to generate a mining risk training model; the mining risk training model is optimized and iterated using the model test set to generate a mining risk prediction model; the oil mining feedback data set is imported into the mining risk prediction model to perform mining risk prediction and generate mining environment risk prediction data;

[0053] The mining environment risk prediction data is transmitted to the safety environment protection module for storage to generate mining environment risk prediction data.

[0054] The present invention divides the oil production feedback data set into a model training set and a model test set. This step ensures the reasonable distribution of the data set and provides a basis for model training and testing. The model training set is trained by a random forest algorithm to generate a mining risk training model. The random forest algorithm has a strong ability to process nonlinear relationships and resist noise, and is suitable for complex oil production data. The mining risk training model is optimized and iterated using the model test set to generate a mining risk prediction model. Through continuous optimization and iteration, the accuracy and stability of the model can be improved. The oil production feedback data set is imported into the mining risk prediction model to predict the mining risk and generate mining environment risk prediction data. The trained model is used to predict new data to obtain potential risks in the mining process. The mining environment risk prediction data is transmitted to the safety environment protection module for storage to generate mining environment risk prediction data. By storing the predicted data, historical data analysis and trend prediction can be performed.

[0055] In this specification, a multi-system integrated communication control system based on oil production is provided, which is used to execute the multi-system integrated communication control method based on oil production. The multi-system integrated communication control system based on oil production includes:

[0056] A network construction module is used to obtain oil production process data; a system function module is constructed for the oil production process data to generate an oil production multi-module, wherein the oil production multi-module includes an exploration module, a drilling module, a completion module, an oil production module, an oil and gas processing module, and a safety and environmental protection module; a distributed cluster monitoring network is constructed based on the oil production multi-module to generate an oil production module distributed network;

[0057] The exploration feedback module is used to collect the signal data of the exploration module seismometer according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; perform seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; perform rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmit the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate oil production exploration module feedback data;

[0058] The oil production module is used to collect the mine data of the drilling module according to the distributed network of the oil production module to obtain the oil production mine data; perform mining progress analysis on the oil production mine data to generate mine mining progress evaluation data, and transmit the mine mining progress evaluation data back to the distributed network of the oil production module for real-time storage to generate oil production drilling module feedback data; perform mine integrity monitoring on the completion module according to the distributed network of the oil production module to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production completion module feedback data;

[0059] The oil and gas processing module is used to collect basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; perform response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmit the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; perform real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data;

[0060] The safety communication control module is used to integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety environment protection module, thereby generating stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data, and generate oil production control transmission instructions.

[0061] The beneficial effect of the present invention is that by establishing a multi-module distributed network system, real-time monitoring and data collection of each link in the oil production process can be realized. In this way, data of oil exploration, drilling, completion, oil production and oil and gas processing can be obtained in time, and the data can be analyzed and evaluated, thereby improving the efficiency of the entire production process. Through seismic imaging and rock formation change analysis, underground rock formation change data can be generated to provide an important basis for production decision-making. At the same time, by monitoring and evaluating the production progress and mine integrity, the production plan can be adjusted in time to optimize the oil production process. Through real-time data collection and monitoring of the oil production module, abnormal situations can be discovered in time and early warning can be issued. The safety and environmental protection module can provide module early warning for the returned data set, identify potential risks and problems in advance, and thus take control measures to ensure the safety and sustainability of the oil production process. Through the collection and analysis of basic oil and gas data, the response characteristics of oil and gas, such as the pressure-yield and water content-yield relationships, can be understood, thereby optimizing the oil and gas production management strategy and improving the oil and gas production and recovery rate. Therefore, the present invention improves the efficiency and real-time performance of integrated communication control by carrying out module construction and integration of oil production system functions, construction of a distributed cluster monitoring network, real-time data feedback and processing, and intelligent risk communication control. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A schematic diagram of the steps of a multi-system integrated communication control method based on oil production;

[0063] Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0064] Figure 3 for Figure 1 Detailed implementation steps of step S3 in FIG.

[0065] Figure 4 for Figure 1 Detailed implementation steps of step S4 in FIG.

[0066] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0067] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0068] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0069] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0070] To achieve this, please refer to Figures 1 to 4 , a multi-system integrated communication control method based on oil production, the method comprising the following steps:

[0071] Step S1: Acquire oil production process data; construct system function modules for the oil production process data to generate oil production multi-modules, wherein the oil production multi-modules include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module; construct a distributed cluster monitoring network based on the oil production multi-modules to generate an oil production module distributed network;

[0072] Step S2: collecting the signal data of the geophone of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; performing seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; performing rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmitting the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate the oil production exploration module feedback data;

[0073] Step S3: collecting the well data of the drilling module according to the distributed network of the oil mining module to obtain the well data of the oil mining module; performing an exploitation progress analysis on the well data of the oil mining module to generate the well exploitation progress evaluation data, and transmitting the well exploitation progress evaluation data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation drilling module feedback data; performing well integrity monitoring on the completion module according to the distributed network of the oil mining module to generate the well integrity monitoring data, and transmitting the well integrity monitoring data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation completion module feedback data;

[0074] Step S4: collecting basic oil and gas data of the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; performing response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; performing real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmitting the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data;

[0075] Step S5: Integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety and environmental protection module to generate stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data to generate oil production control transmission instructions.

[0076] The present invention helps to integrate and systematize data at different stages by constructing system function modules of oil production process data, making it easy to manage and analyze. Constructing multiple modules of oil production, including exploration, drilling, completion, oil production, oil and gas processing and safety and environmental protection modules, improves the coordination and overall efficiency of each link in the oil production process. Through the acquisition of seismic wave receiving signal data, high-resolution imaging of underground rock structure is achieved, providing accurate geological information, which is conducive to accurate exploration and resource evaluation. The seismic imaging data is stored and transmitted back to the distributed network in real time, supporting real-time decision-making and further analysis, and improving the efficiency and accuracy of the exploration process. The mine data is collected through the drilling module, and the mining progress is analyzed. The real-time storage and transmission of data are helpful to achieve real-time monitoring and management of the mine mining process. The integrity of the mine is monitored to detect potential safety risks and problems as early as possible, and to ensure the safety and sustainability of production. The response characteristics of basic oil and gas data, such as pressure-production and water content-production response, are collected and analyzed to provide a scientific basis for optimizing production and decision-making. The real-time storage and transmission of data support real-time feedback and optimization of the production process, and improve production efficiency and resource utilization. Integrate the feedback data of exploration, drilling, completion, oil production, and oil and gas processing modules, and conduct phased warnings through the safety and environmental protection module to detect and respond to potential safety risks as early as possible. Based on the warning data, intelligent risk communication control is performed on the distributed network to ensure the safety and stability of the oil production process and reduce production interruptions and losses. Therefore, the present invention improves the efficiency and real-time performance of integrated communication control by modular construction and integration of oil production system functions, construction of distributed cluster monitoring network, real-time data feedback and processing, and intelligent risk communication control.

[0077] In the embodiment of the present invention, reference Figure 1 The above is a schematic flow chart of the steps of a multi-system integrated communication control method based on oil production of the present invention. In this example, the multi-system integrated communication control method based on oil production includes the following steps:

[0078] Step S1: Acquire oil production process data; construct system function modules for the oil production process data to generate oil production multi-modules, wherein the oil production multi-modules include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module; construct a distributed cluster monitoring network based on the oil production multi-modules to generate an oil production module distributed network;

[0079] In the embodiment of the present invention, key data in the oil production process, including geological exploration data, equipment operation data, environmental monitoring data, etc., are obtained through field sensors, monitoring equipment or remote data interfaces. Based on the obtained oil production process data, a multi-module system is constructed to ensure that the entire oil production process is covered, including but not limited to: Exploration module: responsible for the collection and analysis of geological exploration data. Drilling module: responsible for the monitoring and management of drilling equipment operation data. Completion module: responsible for the monitoring and evaluation of wellbore integrity. Oil production module: responsible for the collection and analysis of oil and gas production data. Oil and gas processing module: responsible for data monitoring and optimization control during oil and gas processing. Safety and environmental protection module: responsible for monitoring and managing safety and environmental protection measures during oil production. Based on the constructed multi-module system, a distributed cluster monitoring network is designed and implemented. Using modern information technology and Internet of Things technology, the data collection, processing and management functions of each module are integrated into a unified network. Ensure that the distributed network can respond to and process the data of each module in real time, and support remote monitoring, real-time warning and decision support functions.

[0080] Step S2: collecting the signal data of the geophone of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; performing seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; performing rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmitting the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate the oil production exploration module feedback data;

[0081] In the embodiment of the present invention, the coverage of the oil production area is ensured by configuring and deploying seismic detector equipment. The seismic wave reception signal data, including waveform data and related timestamp information, is collected in real time. The seismic imaging processing is performed using the collected seismic wave reception signal data. The waveform data is processed using an imaging algorithm (such as an inversion algorithm or a stacking algorithm) to generate a seismic imaging image. The generated seismic imaging image is subjected to a rock formation change analysis. The image processing and analysis technology is used to identify and measure the changes and structural characteristics of the underground rock formation. The analyzed underground rock formation change data is stored in the oil production module distributed network. The real-time and integrity of the data is ensured to support subsequent oil production decisions and optimization.

[0082] Step S3: collecting the well data of the drilling module according to the distributed network of the oil mining module to obtain the well data of the oil mining module; performing an exploitation progress analysis on the well data of the oil mining module to generate the well exploitation progress evaluation data, and transmitting the well exploitation progress evaluation data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation drilling module feedback data; performing well integrity monitoring on the completion module according to the distributed network of the oil mining module to generate the well integrity monitoring data, and transmitting the well integrity monitoring data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation completion module feedback data;

[0083] In an embodiment of the present invention, various sensors and monitoring equipment (such as inclinometers, displacement sensors, pressure sensors, etc.) are used to monitor drilling activities and underground conditions in real time during the drilling process. The data may include real-time collection of various parameters such as well depth, drill bit position, core samples, formation pressure, and ground temperature. The collected mine data is input into the data analysis system for mining progress analysis. The analysis may cover drilling speed, cuttings return, formation characteristics, etc. to evaluate the drilling progress. The mining progress evaluation data obtained by the analysis (such as drilling depth, well wall stability evaluation, cuttings properties, etc.) are transmitted back to the distributed network of the oil production module for real-time storage. These data can be used to optimize drilling parameter settings, adjust drilling strategies and safety measures. After the wellbore is completed, sensors and monitoring equipment are used to monitor the physical state and environment inside the wellbore in real time. The monitoring content includes pressure, temperature, liquid level, gas content, etc. inside the wellbore to ensure the integrity and operation safety of the wellbore. The mine integrity data obtained by monitoring is transmitted back to the distributed network of the oil production module for real-time storage. This data is critical to preventing wellbore accidents, optimizing wellbore maintenance and extending wellbore life.

[0084] Step S4: collecting basic oil and gas data of the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; performing response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; performing real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmitting the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data;

[0085] In the embodiment of the present invention, various sensors and monitoring equipment (such as wellhead pressure sensors, temperature sensors, flow meters, etc.) are used to collect basic oil and gas data in real time during the oil production process. The data includes key parameters such as wellhead pressure, wellhead temperature, fluid production and water content. The collected basic oil and gas data are input into the data analysis system for response characteristic analysis. The analysis includes trend analysis and model establishment of the relationship between pressure and production, and response characteristic analysis of the relationship between water content and production. Pressure-production response characteristic data and water content-production response characteristic data are generated according to the analysis results. These data reflect the law of oil and gas production changes under different pressure and water content conditions, which is of great significance for optimizing oil production operations and decision-making. The generated pressure-production response characteristic data and water content-production response characteristic data are transmitted back to the distributed network of the oil production module for real-time storage. This can ensure the timeliness and accuracy of the data and support real-time decision-making and adjustment. Various parameters (such as oil content, gas content, water content, etc.) in the oil and gas processing process are monitored in real time. Monitoring can be achieved through automated instruments and sensors to ensure the effectiveness and safety of the oil and gas processing process. Generate oil and gas processing monitoring data based on the monitoring results, including oil and gas separation efficiency, processing effect evaluation, etc. The generated oil and gas processing monitoring data is transmitted back to the oil production module distributed network for real-time storage to support subsequent data analysis and system optimization.

[0086] Step S5: Integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety and environmental protection module to generate stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data to generate oil production control transmission instructions.

[0087] In an embodiment of the present invention, the feedback data from the oil production exploration module, the drilling module, the completion module, the oil production module and the oil and gas processing module are collected and integrated. The data includes seismic imaging data, mine production progress assessment data, pressure-production response characteristic data, oil and gas processing monitoring data, etc. The integrated data is formed into a unified oil production feedback data set. The formation of the data set can be managed and stored through a data warehouse or a similar integrated platform. The oil production feedback data set is analyzed and monitored using the algorithm and preset rules of the safety and environmental protection module. The module warning includes identifying abnormal or data patterns exceeding the preset threshold, and predicting possible safety risks. According to the analysis results of the safety and environmental protection module, stage warning data is generated. The warning data includes a description of the abnormal situation, a risk level assessment, and recommended countermeasures. The generated stage warning data is applied to the distributed network of the oil production module. According to the priority and risk level of the warning data, an intelligent risk communication control strategy is formulated. According to the risk control strategy, the corresponding oil production control transmission instructions are generated. The control instructions can cover measures such as suspending the operation of certain modules, adjusting the workflow, and even starting an emergency response plan.

[0088] Preferably, step S1 comprises the following steps:

[0089] Step S11: Acquire oil production process data;

[0090] Step S12: dividing the oil production process data into oil production stages to generate oil production stage division data;

[0091] Step S13: constructing system function modules according to the data divided by the oil production stage, thereby generating multiple modules for oil production, wherein the multiple modules for oil production include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module;

[0092] Step S14: Deploy sensors based on the oil production multi-module to obtain oil production multi-module sensor deployment data; use the Internet of Things technology to construct a distributed cluster monitoring network for the oil production multi-module sensor deployment data to generate an oil production module distributed network.

[0093] In an embodiment of the present invention, data is collected from various stages of the oil production site (such as exploration, drilling, completion, etc.). These data may include geological data, equipment operation data, environmental monitoring data, etc. Data collection methods include real-time monitoring by sensors, import of historical data, manual recording, etc. Specific equipment and data sources include: seismic detectors, drilling equipment sensors, downhole pressure and temperature sensors, etc. The collected oil production process data is analyzed, and different stages such as exploration, drilling, completion, oil production, oil and gas processing, and safety and environmental protection are divided according to different operation contents and processes. Data analysis tools (such as data mining software or custom algorithms) are used to automate stage division. Determine the start and end marks of each stage (for example, initial drilling data at the beginning of the drilling stage, well sealing operation data at the beginning of the completion stage). According to the divided oil production stages, corresponding system function modules are constructed. Each module corresponds to a specific production stage and contains the functions and data processing processes required for that stage. Each module includes: Exploration module: responsible for geological exploration and resource assessment, including seismic data analysis, gravity and magnetic exploration. Drilling module: manages drilling operations, including drilling equipment monitoring and downhole environment monitoring. Completion module: handles completion operations, including wellbore integrity monitoring and assessment. Oil production module: manages the oil production process, including production monitoring, pressure and temperature monitoring. Oil and gas processing module: handles oil and gas separation and processing operations, including separation efficiency monitoring. Safety and environmental protection module: responsible for safety and environmental protection, including risk prediction and emergency response. Sensors are deployed at key locations in each module to monitor and collect relevant data in real time. Sensor types include seismic detectors, pressure sensors, temperature sensors, flow meters, etc. Deployment strategy: Exploration module: seismic detectors, gravimeters, magnetometers. Drilling module: drilling equipment sensors, downhole pressure and temperature sensors. Completion module: wellbore monitoring sensors, stress sensors. Oil production module: wellhead pressure sensors, temperature sensors, flow meters. Oil and gas processing module: oil and gas separator sensors, content detection sensors. Safety and environmental protection module: environmental monitoring sensors, risk prediction sensors. Use IoT technology to connect the deployed sensors to form a distributed cluster monitoring network. Sensors transmit data to the central processing system in real time through wireless transmission or wired network. The central processing system collects, stores, analyzes and visualizes sensor data. It realizes data sharing and collaborative work between different modules to form a complete oil production monitoring and control system.

[0094] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0095] Step S21: collecting the seismic detector signal data of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data;

[0096] Step S22: performing signal data preprocessing on the oil production seismic wave receiving signal data to generate standard seismic wave receiving signal data, wherein the signal data preprocessing includes signal denoising, multipath effect removal and signal enhancement; performing seismic imaging on the standard seismic wave receiving signal data to generate an oil production seismic imaging map;

[0097] Step S23: predict the oil and gas reservoir area on the oil production seismic imaging map, so as to generate the oil production oil and gas reservoir area location information data; perform gravity and magnetic exploration based on the oil production oil and gas reservoir area location information data to obtain the oil production area gravity change data and magnetic change data; perform underground rock formation change analysis based on the oil production area gravity change data and magnetic change data to generate underground rock formation change data, and transmit the underground rock formation change data back to the oil production module distributed network for real-time storage to generate oil production exploration module feedback data.

[0098] In an embodiment of the present invention, by deploying seismic detectors in the oil production area, the geological structure and seismic activity in the coverage area are ensured. The seismic detectors can be arranged at locations such as the surface, underground or deep seabed, and a suitable arrangement method is selected according to the specific production environment. Through the distributed network of the oil production module, the seismic wave receiving signal data is collected in real time. During the data collection process, the real-time and accuracy of the data are ensured, and the integrity and reliability of the data are guaranteed. The collected seismic wave receiving signal data is denoised to remove the noise components from the environment and equipment interference. The denoising technology may include methods such as wavelet transform and filter design to ensure the clarity and accuracy of the seismic signal. For the multipath effect encountered by the seismic wave during the propagation process, a suitable algorithm is used for processing to reduce signal superposition and distortion. Multipath elimination algorithms such as beamforming technology (beamforming), multi-channel blind source separation, etc. can be used. The pre-processed seismic wave receiving signal data is enhanced to improve the signal-to-noise ratio and resolution of the signal. The enhancement method may include spectral domain enhancement, time domain enhancement and other technologies to obtain clearer seismic wave images. The pre-processed seismic wave receiving signal data is used for seismic imaging to generate a seismic imaging map. Seismic imaging technology can analyze underground structural characteristics by using methods such as reflection wave imaging and refraction wave imaging. Based on seismic imaging images, the reflection and refraction characteristics of seismic waves are used to predict potential oil and gas reservoirs in the oil production area. The oil and gas accumulation area is determined by analyzing the reflection interface, underground rock structure and other information in the seismic imaging data. According to the seismic wave imaging and the prediction results of the oil and gas reservoir area, a suitable location is selected for gravity and magnetic exploration. Gravity exploration measures the changes in the surface gravitational field, while magnetic exploration measures the changes in the surface magnetic field. The underground rock changes and structural characteristics of the oil production area are analyzed by gravity and magnetic measurement data. The collected gravity change data and magnetic change data are comprehensively analyzed with the seismic imaging data. The physical properties, structural characteristics and changes of the underground rock formations are analyzed by using seismic wave imaging, gravity and magnetic exploration data. Underground rock formation change data are generated, including rock type, thickness, fault zone distribution and other information. The analyzed underground rock formation change data are transmitted back to the distributed network of the oil production module for real-time storage and management. Ensure the timeliness and integrity of the data to support subsequent oil production decisions and management.

[0099] As an example of the present invention, refer to Figure 3 As shown, in this example, step S3 includes:

[0100] Step S31: collecting the drilling module mine data according to the oil mining module distributed network to obtain the oil mining mine data, wherein the oil mining mine data includes the mine equipment movement data and the underground environment data;

[0101] Step S32: Analyze the operation status of the mine equipment on the mine equipment motion data to generate the mine equipment operation status data;

[0102] Step S33: Perform mining progress analysis on underground environment data according to the mine equipment operation status data, generate mining progress evaluation data, and transmit the mining progress evaluation data back to the oil mining module distributed network for real-time storage, and generate oil mining drilling module feedback data;

[0103] Step S34: Performing well integrity monitoring on the completion module according to the oil production module distributed network, generating well integrity monitoring data, and transmitting the well integrity monitoring data back to the oil production module distributed network for real-time storage, generating oil production completion module feedback data.

[0104] In the embodiment of the present invention, various sensors such as accelerometers, inclination sensors, temperature and humidity sensors, etc. are deployed on the wellhead and underground equipment during the drilling process for real-time monitoring and data collection. Ensure that the position of the sensors is reasonably arranged to cover various key points in the well, such as drill pipes, drill bits, and well walls. Through the distributed network of the oil production module, the motion data of the mine equipment and the underground environmental data are collected and transmitted in real time. High-reliability data transmission technology, such as the Internet of Things communication protocol or a dedicated communication network, is adopted to ensure the real-time and integrity of the data. The collected motion data of the mine equipment is cleaned and preprocessed to remove noise and abnormal data. Data analysis techniques, such as time series analysis and machine learning models (such as neural networks, support vector machines, etc.) are used to conduct in-depth analysis of the motion data. The operating status data of the mine equipment is generated according to the analysis results, including key indicators such as equipment operating time, motion speed, and work efficiency. Determine the classification of the operating status, such as normal, warning, fault, etc., to provide a basis for subsequent real-time monitoring and early warning. Combine the operating status data of the mine equipment and the underground environmental data collected in real time to analyze each link of the mining progress. Through data association, the progress of work and environmental changes inside the mine are evaluated, such as changes in geological structure and wellbore conditions. Based on the analysis results, the mine mining progress evaluation data is generated, including key parameters such as well depth progress, rock penetration rate, and formation changes. The evaluation data is transmitted back to the distributed network of the oil production module in real time to support decision-making and subsequent operation adjustments. In the completion stage, sensor equipment is deployed to monitor the changes in wellbore structure and geological layers. Including stress sensors, displacement sensors, etc., installed at the wellhead and inside the wellbore to monitor the physical state of the wellbore and the pressure changes of the surrounding formations. Through the distributed network of the oil production module, the monitoring data of the completion stage, such as the inclination angle of the wellbore and the settlement changes, are collected in real time. The monitoring data is processed and analyzed using data analysis algorithms to evaluate the stability and integrity of the wellbore. Based on the analysis results, the monitoring data required by the completion module is generated, such as the structural health index of the wellbore and the formation pressure distribution map. The monitoring data is transmitted back to the distributed network of the oil production module in real time for real-time monitoring and management.

[0105] Preferably, step S34 includes the following steps:

[0106] Step S341: collecting wellbore motion sensor data from the completion module according to the distributed network of the oil production module to obtain wellbore motion sensor data;

[0107] Step S342: performing wellbore motion trajectory analysis on the wellbore motion sensor data to generate wellbore motion trajectory data; performing wellbore deviation angle calculation on the wellbore motion trajectory data to obtain wellbore deviation angle data;

[0108] Step S343: evaluating the motion path deviation of the wellbore motion sensor data through the wellbore deviation angle data to obtain the wellbore motion deviation path data; performing wellbore stability analysis based on the wellbore motion deviation path data and the wellbore motion trajectory data to generate the wellbore stability data;

[0109] Step S344: Perform formation environmental pressure analysis on the wellbore motion sensor data based on the preset stress analysis model to generate formation environmental pressure data; perform wellbore integrity assessment based on the wellbore motion trajectory data, wellbore stability data and formation environmental pressure data to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the oil production module distributed network for real-time storage to generate oil production completion module feedback data.

[0110] In the embodiment of the present invention, by deploying motion sensors such as accelerometers, displacement sensors, etc., the wellbore motion data is collected in real time during the completion process. Ensure that the sensor positions are reasonably arranged to cover the motion conditions of key parts in the wellbore. Perform trajectory analysis on the collected wellbore motion data to generate wellbore motion trajectory data. Use the trajectory data to calculate the deviation angle of the wellbore to obtain wellbore deviation angle data for evaluating the verticality and stability of the wellbore motion. According to the wellbore deviation angle data, evaluate the path deviation of the wellbore during the movement. Analyze the stability of the wellbore based on the deviation path data and the motion trajectory to determine the motion and stability problems of the wellbore under geological conditions. Use the preset formation stress analysis model to perform formation environmental pressure analysis on the wellbore motion sensor data. Generate formation environmental pressure data, including pressure distribution and stress conditions of the formation, to evaluate the force condition and bearing capacity of the wellbore in the formation. Combine the wellbore motion trajectory, stability data and formation pressure analysis results to perform wellbore integrity assessment. Generate mine integrity monitoring data, including structural health score, risk warning and other information of the wellbore. The monitoring data is transmitted back to the distributed network of the oil production module in real time for storage, supporting real-time monitoring and decision-making.

[0111] As an example of the present invention, refer to Figure 4 As shown, in this example, step S4 includes:

[0112] Step S41: collecting basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data, wherein the basic oil and gas data includes wellhead pressure data, wellhead temperature data, fluid production data and water content;

[0113] Step S42: Perform trend analysis on the fluid production data to generate fluid production trend data;

[0114] Step S43: performing a first response characteristic analysis on the wellhead pressure data and the wellhead temperature data according to the fluid production trend data to generate pressure-production response characteristic data; performing a second response characteristic analysis on the water content according to the fluid production trend data to generate water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the oil production module distributed network for real-time storage to generate oil production module feedback data;

[0115] Step S44: Perform real-time oil and gas monitoring on the oil and gas processing module according to the oil production module distributed network, generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

[0116] In an embodiment of the present invention, wellhead pressure and temperature data are collected in real time at the wellhead position by using adapted sensors and measuring devices. Fluid production data is collected by flowmeters and other devices, and the water content in the fluid is recorded. The accuracy and stability of sensors and measuring devices are ensured to ensure that the collected data are accurate. The data collection process is monitored in real time, and abnormal data or data loss is handled to ensure the integrity and availability of the data. The continuously collected fluid production data is analyzed in time series to identify and quantify the long-term and short-term trends of fluid production. Fluid production trend data is generated using statistical methods or machine learning algorithms, such as moving average, exponential smoothing or regression analysis. Based on the fluid production trend data, the response characteristics of the wellhead pressure data are analyzed. This includes evaluating the changes in fluid production under different pressures and generating pressure-production response characteristics data. A similar analysis is performed on the wellhead temperature data to understand the impact of temperature on fluid production. Based on the fluid production trend data, the response characteristics of the water content are analyzed. This involves evaluating the degree of influence of water content on fluid production and generating water content-production response characteristics data. Configure sensors and monitoring equipment in the oil and gas processing module to monitor key parameters in the processing process in real time, such as processing efficiency, oil and gas separation effect, etc. Continuously collect oil and gas processing monitoring data, including oil and gas separation efficiency, oil and gas content, etc. Transmit the real-time monitored oil and gas processing data back to the distributed network of the oil production module for real-time storage. Ensure the security and timeliness of data transmission to support subsequent data analysis and decision-making.

[0117] Preferably, step S44 includes the following steps:

[0118] Step S441: collecting oil and gas separator data of the oil and gas processing module according to the distributed network of the oil production module to obtain oil and gas processing monitoring data;

[0119] Step S442: extracting oil-gas separator operation data from the oil-gas processing monitoring data to obtain oil-gas separator operation data; performing separation content detection according to the oil-gas separator operation data to generate content detection data, wherein the content detection data includes oil content data, gas content data and water content data;

[0120] Step S443: Calculate the separation efficiency of the oil content data, gas content data and water content data to obtain oil-gas separation efficiency data; use the oil-gas separator operation data to perform separation performance regulation and analysis on the oil-gas separation efficiency data to generate separation performance regulation data, and transmit the separation performance regulation data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

[0121] In the embodiment of the present invention, a variety of sensing devices such as pressure sensors, temperature sensors, flow meters, etc. are arranged inside the oil and gas processing module to monitor the internal environmental parameters of the oil and gas separator in real time. The data acquisition frequency and accuracy are set to ensure accurate capture of changes in the separator operation process. The collected data is preprocessed, including denoising, data correction and outlier exclusion to ensure data quality. The processed data is stored in the distributed network of the oil production module in real time for subsequent analysis and decision-making. According to the sensor data collected in real time, the operating status data of the oil and gas separator, such as pressure change, temperature change, flow change, etc., are extracted. The extraction frequency and data storage format are determined to ensure data integrity and timeliness. Based on the extracted operating data, the oil content, gas content and water content in the oil and gas separator are calculated by algorithm. A calibration model or a real-time calibration method is used to improve data accuracy and reliability. According to the detected oil and gas content data, the actual separation efficiency of the oil and gas separator is calculated. Taking into account the changes in operating conditions and environmental factors, the separation efficiency calculation model is adjusted in real time to improve the prediction accuracy. Based on real-time data and historical data analysis, the performance change trend of the oil and gas separator is evaluated. Use data mining technology and machine learning algorithms to optimize the operating parameters of the oil and gas separator and improve separation efficiency and energy efficiency. Transmit the separation performance control data obtained through real-time calculation and analysis back to the distributed network of the oil production module. Use secure encryption protocols and efficient transmission mechanisms to ensure the security and timeliness of data transmission. Set up data storage nodes in the distributed network to support large-scale data storage and real-time access requirements. Design appropriate data indexes and query interfaces to facilitate subsequent data analysis and decision support.

[0122] Preferably, step S5 comprises the following steps:

[0123] Step S51: Integrate the returned data from the oil production exploration module, the returned data from the oil production drilling module, the returned data from the oil production completion module, the returned data from the oil production production module, and the returned data from the oil production oil and gas processing module to generate an oil production return data set;

[0124] Step S52: Perform mining risk prediction on the oil mining return data set according to the safety and environmental protection module to obtain mining environment risk prediction data; compare the mining environment risk prediction data with the preset standard mining risk threshold, and when the mining environment risk prediction data is greater than or equal to the preset standard mining risk threshold, perform corresponding module warning, thereby generating stage warning data;

[0125] Step S53: Use the stage warning data to sort the stage risk priority control of the distributed network of oil production modules and generate stage risk priority data; perform intelligent risk communication control according to the stage risk priority data, and when the distributed network of oil production modules recognizes the stage warning data, the shutdown instruction priority transmission is performed to the corresponding oil production module according to the stage risk priority data to generate an oil production control transmission instruction.

[0126] In the embodiment of the present invention, the seismic detector signal data is obtained from the oil production and exploration module, the mine data is obtained from the drilling module, the wellbore motion sensor data is obtained from the completion module, the oil and gas basic data is obtained from the oil production module, and the oil and gas processing monitoring data is obtained from the oil and gas processing module. Ensure the accuracy and integrity of the data acquisition process, and handle abnormal data or missing data. Integrate the data of each module into a unified oil production return data set. Use a distributed storage system to ensure the security and reliability of data, support real-time data access and efficient query. Perform data preprocessing on the oil production return data set, including denoising, data standardization, etc. Extract features related to production risks, such as formation change data, wellbore motion trajectory data, trend analysis results of oil and gas basic data, etc. Use machine learning algorithms (such as random forests, neural networks) to establish a production risk prediction model. Optimize the accuracy and stability of the prediction model through cross-validation and model tuning. Set a preset production risk threshold and warning rules. When the predicted risk exceeds the set threshold, generate a corresponding stage warning signal. According to the stage warning data and the preset risk priority indicators, the risks are prioritized and sorted. Considering the importance of each module and the scope of risk impact, determine the urgency and priority of risk handling. Establish an intelligent risk communication system to achieve instant communication and instruction transmission with each module. According to the priority data, automatically trigger the corresponding control instructions, such as sending a stoppage order or adjusting the work plan to deal with potential safety risks.

[0127] In this specification, a multi-system integrated communication control system based on oil production is provided, which is used to execute the multi-system integrated communication control method based on oil production. The multi-system integrated communication control system based on oil production includes:

[0128] A network construction module is used to obtain oil production process data; a system function module is constructed for the oil production process data to generate an oil production multi-module, wherein the oil production multi-module includes an exploration module, a drilling module, a completion module, an oil production module, an oil and gas processing module, and a safety and environmental protection module; a distributed cluster monitoring network is constructed based on the oil production multi-module to generate an oil production module distributed network;

[0129] The exploration feedback module is used to collect the signal data of the exploration module seismometer according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; perform seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; perform rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmit the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate oil production exploration module feedback data;

[0130] The oil production module is used to collect the mine data of the drilling module according to the distributed network of the oil production module to obtain the oil production mine data; perform mining progress analysis on the oil production mine data to generate mine mining progress evaluation data, and transmit the mine mining progress evaluation data back to the distributed network of the oil production module for real-time storage to generate oil production drilling module feedback data; perform mine integrity monitoring on the completion module according to the distributed network of the oil production module to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production completion module feedback data;

[0131] The oil and gas processing module is used to collect basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; perform response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmit the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; perform real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data;

[0132] The safety communication control module is used to integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety environment protection module, thereby generating stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data, and generate oil production control transmission instructions.

[0133] The beneficial effect of the present invention is that by establishing a multi-module distributed network system, real-time monitoring and data collection of each link in the oil production process can be realized. In this way, data of oil exploration, drilling, completion, oil production and oil and gas processing can be obtained in time, and the data can be analyzed and evaluated, thereby improving the efficiency of the entire production process. Through seismic imaging and rock formation change analysis, underground rock formation change data can be generated to provide an important basis for production decision-making. At the same time, by monitoring and evaluating the production progress and mine integrity, the production plan can be adjusted in time to optimize the oil production process. Through real-time data collection and monitoring of the oil production module, abnormal situations can be discovered in time and early warning can be issued. The safety and environmental protection module can provide module early warning for the returned data set, identify potential risks and problems in advance, and thus take control measures to ensure the safety and sustainability of the oil production process. Through the collection and analysis of basic oil and gas data, the response characteristics of oil and gas, such as the pressure-yield and water content-yield relationships, can be understood, thereby optimizing the oil and gas production management strategy and improving the oil and gas production and recovery rate. Therefore, the present invention improves the efficiency and real-time performance of integrated communication control by carrying out module construction and integration of oil production system functions, construction of a distributed cluster monitoring network, real-time data feedback and processing, and intelligent risk communication control.

[0134] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0135] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A multi-system integrated communication control method based on oil production, characterized in that: The following steps are involved: Step S1: Acquire oil production process data; construct system function modules for the oil production process data to generate oil production multi-modules, wherein the oil production multi-modules include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module; construct a distributed cluster monitoring network based on the oil production multi-modules to generate an oil production module distributed network; Step S2: collecting the signal data of the geophone of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; performing seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; performing rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmitting the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate the oil production exploration module feedback data; Step S3: collecting the well data of the drilling module according to the distributed network of the oil mining module to obtain the well data of the oil mining module; performing an exploitation progress analysis on the well data of the oil mining module to generate the well exploitation progress evaluation data, and transmitting the well exploitation progress evaluation data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation drilling module feedback data; performing well integrity monitoring on the completion module according to the distributed network of the oil mining module to generate the well integrity monitoring data, and transmitting the well integrity monitoring data back to the distributed network of the oil mining module for real-time storage to generate the well exploitation completion module feedback data; Step S4: collecting basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; performing response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; The pressure-production response characteristic data and the water content-production response characteristic data are transmitted back to the oil production module distributed network for real-time storage, and the oil production module transmission data is generated; the oil and gas processing module is monitored in real time according to the oil production module distributed network, and the oil and gas processing monitoring data is transmitted back to the oil production module distributed network for real-time storage, and the oil and gas processing monitoring data is generated. Step S5: Integrate the returned data from the oil production exploration module, the returned data from the oil production drilling module, the returned data from the oil production completion module, the returned data from the oil production production module, and the returned data from the oil production oil and gas processing module to generate an oil production return data set; perform module warning on the oil production return data set according to the safety and environmental protection module, thereby generating stage warning data; Through the stage warning data, the distributed network of oil production modules is intelligently controlled for risk communication, and oil production control transmission instructions are generated.

2. The multi-system integrated communication control method based on oil production according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: Acquire oil production process data; Step S12: dividing the oil production process data into oil production stages to generate oil production stage division data; Step S13: constructing system function modules according to the data divided by the oil production stage, thereby generating multiple modules for oil production, wherein the multiple modules for oil production include exploration module, drilling module, completion module, oil production module, oil and gas processing module and safety and environmental protection module; Step S14: Deploy sensors based on the oil production multi-module to obtain oil production multi-module sensor deployment data; use the Internet of Things technology to construct a distributed cluster monitoring network for the oil production multi-module sensor deployment data to generate an oil production module distributed network.

3. The multi-system integrated communication control method based on oil production according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: collecting the seismic detector signal data of the exploration module according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; Step S22: performing signal data preprocessing on the oil production seismic wave receiving signal data to generate standard seismic wave receiving signal data, wherein the signal data preprocessing includes signal denoising, multipath effect removal and signal enhancement; performing seismic imaging on the standard seismic wave receiving signal data to generate an oil production seismic imaging map; Step S23: predict the oil and gas reservoir area on the oil production seismic imaging map, so as to generate the oil production oil and gas reservoir area location information data; perform gravity and magnetic exploration based on the oil production oil and gas reservoir area location information data to obtain the oil production area gravity change data and magnetic change data; perform underground rock formation change analysis based on the oil production area gravity change data and magnetic change data to generate underground rock formation change data, and transmit the underground rock formation change data back to the oil production module distributed network for real-time storage to generate oil production exploration module feedback data.

4. The multi-system integrated communication control method based on oil production according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: collecting the drilling module mine data according to the oil mining module distributed network to obtain the oil mining mine data, wherein the oil mining mine data includes the mine equipment movement data and the underground environment data; Step S32: Analyze the operation status of the mine equipment on the mine equipment motion data to generate the mine equipment operation status data; Step S33: Perform mining progress analysis on underground environment data according to the mine equipment operation status data, generate mining progress evaluation data, and transmit the mining progress evaluation data back to the oil mining module distributed network for real-time storage, and generate oil mining drilling module feedback data; Step S34: Performing well integrity monitoring on the completion module according to the oil production module distributed network, generating well integrity monitoring data, and transmitting the well integrity monitoring data back to the oil production module distributed network for real-time storage, generating oil production completion module feedback data.

5. The multi-system integrated communication control method based on oil production according to claim 4 is characterized in that: Step S34 includes the following steps: Step S341: collecting wellbore motion sensor data from the completion module according to the distributed network of the oil production module to obtain wellbore motion sensor data; Step S342: performing wellbore motion trajectory analysis on the wellbore motion sensor data to generate wellbore motion trajectory data; performing wellbore deviation angle calculation on the wellbore motion trajectory data to obtain wellbore deviation angle data; Step S343: evaluating the motion path deviation of the wellbore motion sensor data through the wellbore deviation angle data to obtain the wellbore motion deviation path data; performing wellbore stability analysis based on the wellbore motion deviation path data and the wellbore motion trajectory data to generate the wellbore stability data; Step S344: Perform formation environmental pressure analysis on the wellbore motion sensor data based on the preset stress analysis model to generate formation environmental pressure data; perform wellbore integrity assessment based on the wellbore motion trajectory data, wellbore stability data and formation environmental pressure data to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the oil production module distributed network for real-time storage to generate oil production completion module feedback data.

6. The multi-system integrated communication control method based on oil production according to claim 1 is characterized in that: Step S4 includes the following steps: Step S41: collecting basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data, wherein the basic oil and gas data includes wellhead pressure data, wellhead temperature data, fluid production data and water content; Step S42: Perform trend analysis on the fluid production data to generate fluid production trend data; Step S43: performing a first response characteristic analysis on the wellhead pressure data and the wellhead temperature data according to the fluid production trend data to generate pressure-production response characteristic data; performing a second response characteristic analysis on the water content according to the fluid production trend data to generate water content-production response characteristic data; transmitting the pressure-production response characteristic data and the water content-production response characteristic data back to the oil production module distributed network for real-time storage to generate oil production module feedback data; Step S44: Perform real-time oil and gas monitoring on the oil and gas processing module according to the oil production module distributed network, generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

7. The multi-system integrated communication control method based on oil production according to claim 6 is characterized in that: Step S44 includes the following steps: Step S441: collecting oil and gas separator data of the oil and gas processing module according to the distributed network of the oil production module to obtain oil and gas processing monitoring data; Step S442: extracting oil-gas separator operation data from the oil-gas processing monitoring data to obtain oil-gas separator operation data; performing separation content detection according to the oil-gas separator operation data to generate content detection data, wherein the content detection data includes oil content data, gas content data and water content data; Step S443: Calculate the separation efficiency of the oil content data, gas content data and water content data to obtain oil-gas separation efficiency data; use the oil-gas separator operation data to perform separation performance regulation and analysis on the oil-gas separation efficiency data to generate separation performance regulation data, and transmit the separation performance regulation data back to the oil production module distributed network for real-time storage to generate oil production oil and gas processing module feedback data.

8. The multi-system integrated communication control method based on oil production according to claim 1 is characterized in that: Step S5 includes the following steps: Step S51: Integrate the returned data from the oil production exploration module, the returned data from the oil production drilling module, the returned data from the oil production completion module, the returned data from the oil production production module, and the returned data from the oil production oil and gas processing module to generate an oil production return data set; Step S52: Perform mining risk prediction on the oil mining return data set according to the safety and environmental protection module to obtain mining environment risk prediction data; compare the mining environment risk prediction data with the preset standard mining risk threshold, and when the mining environment risk prediction data is greater than or equal to the preset standard mining risk threshold, perform corresponding module warning, thereby generating stage warning data; Step S53: Use the stage warning data to sort the stage risk priority control of the distributed network of oil production modules and generate stage risk priority data; perform intelligent risk communication control according to the stage risk priority data, and when the distributed network of oil production modules recognizes the stage warning data, the shutdown instruction priority transmission is performed to the corresponding oil production module according to the stage risk priority data to generate an oil production control transmission instruction.

9. The multi-system integrated communication control method based on oil production according to claim 8 is characterized in that: The risk prediction of oil production return data set based on the safety and environmental protection module includes: The oil production feedback data set is divided into a model training set and a model test set; The model training set is trained using the random forest algorithm to generate a mining risk training model; the mining risk training model is optimized and iterated using the model test set to generate a mining risk prediction model; the oil mining feedback data set is imported into the mining risk prediction model to perform mining risk prediction and generate mining environment risk prediction data; The mining environment risk prediction data is transmitted to the safety environment protection module for storage to generate mining environment risk prediction data.

10. A multi-system integrated communication control system based on oil production, characterized in that: Used to execute the multi-system integrated communication control method based on oil production as claimed in claim 1, the multi-system integrated communication control system based on oil production comprises: A network construction module is used to obtain oil production process data; a system function module is constructed for the oil production process data to generate an oil production multi-module, wherein the oil production multi-module includes an exploration module, a drilling module, a completion module, an oil production module, an oil and gas processing module, and a safety and environmental protection module; a distributed cluster monitoring network is constructed based on the oil production multi-module to generate an oil production module distributed network; The exploration feedback module is used to collect the signal data of the exploration module seismometer according to the distributed network of the oil production module to obtain the oil production seismic wave receiving signal data; perform seismic imaging on the oil production seismic wave receiving signal data to generate the oil production seismic imaging map; perform rock formation change analysis on the oil production seismic imaging map to generate underground rock formation change data, and transmit the underground rock formation change data back to the distributed network of the oil production module for real-time storage to generate oil production exploration module feedback data; The oil production module is used to collect the mine data of the drilling module according to the distributed network of the oil production module to obtain the oil production mine data; perform mining progress analysis on the oil production mine data to generate mine mining progress evaluation data, and transmit the mine mining progress evaluation data back to the distributed network of the oil production module for real-time storage to generate oil production drilling module feedback data; perform mine integrity monitoring on the completion module according to the distributed network of the oil production module to generate mine integrity monitoring data, and transmit the mine integrity monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production completion module feedback data; The oil and gas processing module is used to collect basic oil and gas data from the oil production module according to the distributed network of the oil production module to obtain basic oil and gas data; perform response characteristic analysis on the basic oil and gas data to generate pressure-production response characteristic data and water content-production response characteristic data; transmit the pressure-production response characteristic data and the water content-production response characteristic data back to the distributed network of the oil production module for real-time storage to generate oil production module return data; perform real-time oil and gas monitoring on the oil and gas processing module according to the distributed network of the oil production module to generate oil and gas processing monitoring data, and transmit the oil and gas processing monitoring data back to the distributed network of the oil production module for real-time storage to generate oil production oil and gas processing module return data; The safety communication control module is used to integrate the feedback data from the oil production exploration module, the oil production drilling module, the oil production completion module, the oil production module and the oil and gas processing module to generate an oil production feedback data set; perform module warning on the oil production feedback data set according to the safety environment protection module, thereby generating stage warning data; perform intelligent risk communication control on the distributed network of the oil production module through the stage warning data, and generate oil production control transmission instructions.

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