Intelligent pressure control system and method based on multi-channel multi-mode self-optimization communication

Abstract

An intelligent pressure control system and method based on multi-channel multi-mode self-optimization communication. The system comprises: a communication mode management module, which is configured to optimize, on the basis of communication requirements of pressure control drilling data of different data sources, a communication module corresponding to pressure control drilling data of each data source; a multi-channel communication module, which comprises a plurality of channels, wherein each channel is implemented by using at least one communication module; a data collection module, which is configured to collect the pressure control drilling data of each data source by means of the communication module corresponding to each data source; an intelligent decision-making module, which is configured to determine pressure control parameters on the basis of the collected pressure control drilling data, generate a pressure control instruction, and feed the pressure control instruction back to an automatic control module by means of the multi-channel communication module; and the automatic control module, which is configured to send, by means of the multi-channel communication module, the pressure control instruction to a pressure control execution mechanism for executing a pressure control operation.

Description

Intelligent voltage control system and method for multi-channel multi-mode self-optimizing communication

[0001] Related applications

[0002] This application claims priority to the Chinese invention patent application with application number 202311779511.3 filed on December 22, 2023, and cites the entire contents disclosed in the above patent application as part of this application. Technical Field

[0003] The present application relates to the technical field of precision managed pressure drilling and intelligent managed pressure drilling, and in particular to a multi-channel multi-mode self-optimizing communication intelligent pressure control system and method. Background Art

[0004] This section is intended to provide a background or context to the embodiments of the present application that are recited in the claims. No admission is made that the description herein is prior art by virtue of its inclusion in this section.

[0005] Managed pressure drilling (MPD) technologies and systems are trending toward intelligent development. Information communication and big data management are becoming increasingly important in achieving refined, intelligent management and control of pressure control. Intelligent development and refined control are the inevitable path for managed pressure drilling (MPD). They effectively integrate traditional PMD technology with information technology and big data. Reliable information communication enables more effective monitoring of all aspects of managed pressure drilling and engineering information. Efficient management and analysis of big data are key to achieving intelligent decision-making and control.

[0006] With the increasing difficulty of workplace communication connections and the development of mobility and informatization, the demand for wireless communication and network security is increasing. Managed pressure drilling sites are characterized by numerous equipment, pipelines, and campsites, as well as frequent vehicle traffic. Wired communication installation is difficult and poses a risk of damage. Furthermore, to meet the requirements of mobile office and informatization, the demand for on-site wireless communication and secure remote information transmission is increasing.

[0007] Existing data terminals have a limited communication mode and limited channels, making them unable to meet the diverse needs of data communication and control. Field equipment performance, data management requirements, and information transmission distances vary widely. To achieve effective information exchange, sharing, and monitoring across numerous devices on-site while ensuring low-cost, efficient, and reliable operation, it is essential to combine multiple communication modes and design multiple information channels to manage and transmit information and data based on demand, avoiding data delays, loss, and congestion. This ensures low-cost, effective communication and efficient management of field big data. Summary of the Invention

[0008] On the first aspect, the embodiment of the present application provides a multi-channel, multi-mode, self-optimizing communication pressure control intelligent system, which automatically identifies communication needs, flexibly and self-optimizes the configuration of on-site communication methods without interfering with each other, subverting the traditional communication method; adopts multi-channel and redundant transmission to avoid information data transmission failures, ensure data integrity and transmission timeliness, and ensure the reliability and stability of on-site equipment and operation transmission data; designs unified management, allocation, analysis and decision-making to achieve the coordination of information data, improve the efficiency and intelligent analysis of information data, and achieve fine management, accurate analysis and intelligent decision-making of pressure control drilling information. The system includes: multiple communication modules that communicate with different data sources, a multi-channel communication module, a communication mode management module, a data acquisition module, an intelligent decision-making module and an automatic control module; the multi-channel communication module includes multiple channels, each channel is implemented by at least one communication module; wherein,

[0009] A communication mode management module is used to optimize the communication module corresponding to the managed pressure drilling data of each data source according to the communication requirements of the managed pressure drilling data of different data sources, and the communication module includes a wireless communication module and a wired communication module;

[0010] A data acquisition module, configured to acquire the managed pressure drilling data from each data source through a communication module corresponding to each data source;

[0011] An intelligent decision-making module is used to determine pressure control parameters based on the collected pressure control drilling data, generate pressure control instructions based on the pressure control parameters, and feed back to the automatic control module through the multi-channel communication module;

[0012] The automatic control module is used to send the pressure control instruction to the pressure control actuator through the multi-channel communication module to perform the pressure control operation.

[0013] In a second aspect, the embodiments of the present application also provide a multi-channel, multi-mode, self-optimizing communication pressure control intelligent method, which automatically identifies communication needs, flexibly and self-optimizes the configuration of on-site communication methods, and does not interfere with each other, subverting the traditional communication method; adopting multi-channel and redundant transmission to avoid information data transmission failures, ensure data integrity and transmission timeliness, and ensure the reliability and stability of on-site equipment and operation transmission data; design unified management, allocation, analysis and decision-making to achieve the coordination of information data, improve the efficiency and intelligent analysis of information data, and realize the fine management, accurate analysis and intelligent decision-making of pressure-controlled drilling information. The method includes:

[0014] According to the communication requirements of the managed pressure drilling data from different data sources, optimize the communication module corresponding to the managed pressure drilling data of each data source;

[0015] Collecting the managed pressure drilling data of each data source through the communication module corresponding to each data source;

[0016] Determine pressure control parameters based on collected pressure control drilling data, and generate pressure control instructions based on the pressure control parameters;

[0017] The pressure control instruction is sent to the pressure control actuator through the multi-channel communication module to execute the pressure control operation. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module;

[0018] In a third aspect, an embodiment of the present application also provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the intelligent pressure control method for multi-channel, multi-mode, self-optimizing communication mentioned above is implemented.

[0019] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the intelligent pressure control method for the multi-channel multi-mode self-optimizing communication is implemented.

[0020] In a fifth aspect, an embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the above-mentioned intelligent pressure control method for multi-channel multi-mode self-optimizing communication.

[0021] The use of multi-space hardware, adaptive algorithm layout, and multi-channel, multi-mode self-optimizing communication enhances the anti-interference capability of information communication. Specifically, in complex well site environments, there are many interference factors in information transmission. This technology optimizes hardware parameters and transmission modes (one-to-one transmission), improves software communication protocols and specific verification algorithms (a verification code verification process is added during the transmission process to verify the transmission process. If the verification passes, one-to-one transmission is performed), establishes an adaptive rate adjustment and interference elimination algorithm (this manual does not limit the interference elimination algorithm; the algorithm only needs to be able to eliminate interference), and reduces the impact of environmental interference through spatial diversity, collaborative communication, and signal preprocessing measures.

[0022] This technology achieves multi-point directional transmission by spatially optimizing hardware frequency bands and directional modes, improving software communication protocols and specific verification algorithms; enhances interference detection, and establishes self-optimization models such as adaptive rate adjustment, interference elimination algorithms, and self-optimization of communication parameters (spreading factor, coding rate, bandwidth, etc.) based on monitoring and analysis of interference dynamics; utilizes spatial diversity, cooperative communication, and signal preprocessing to achieve multi-node collaboration, and combats interference through diversity gain, cooperative processing, and spatial independence.

[0023] In the embodiment of the present application, it is possible to automatically identify communication needs, flexibly and self-optimize the configuration of on-site communication methods without interfering with each other, thus overturning the traditional communication methods; adopting multi-channel and redundant transmission to avoid information data transmission failures, ensure data integrity and transmission timeliness, and ensure the reliability and stability of on-site equipment and operation transmission data; designing intelligent decision-making modules and automatic control modules can unify management, allocation, analysis and decision-making, realize the coordination of information data, improve the efficiency and intelligent analysis of information data, and realize the fine management, precise analysis and intelligent decision-making of pressure-controlled drilling information. Therefore, the method of the present application is conducive to improving the level of information data management, information transmission efficiency and equipment intelligent control capabilities of pressure-controlled drilling, and closely meets the development needs of informationization, digitization, automation and intelligence of pressure-controlled drilling site. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0025] FIG1 is a schematic diagram of a multi-channel multi-mode self-optimizing communication voltage control intelligent system according to an embodiment of the present application;

[0026] FIG2 is a schematic diagram showing the principle of automatic optimization of the communication mode management module in an embodiment of the present application;

[0027] FIG3 is a schematic diagram of the interaction between the intelligent pressure control system, the data terminal, and the cloud system in the multi-channel multi-mode self-optimizing communication according to an embodiment of the present application;

[0028] FIG4 is a communication flow diagram according to an embodiment of the present application;

[0029] FIG5 is a schematic diagram of a distributed two-dimensional grid information cache management mode in an embodiment of the present application;

[0030] FIG6 is a schematic diagram of a multi-dimensional real-time transfer data management mode in an embodiment of the present application;

[0031] FIG7 is a flow chart of an intelligent method for controlling voltage in multi-channel multi-mode self-optimizing communication according to an embodiment of the present application;

[0032] FIG8 is a schematic diagram of a computer device in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application are further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present application and their descriptions are used to explain the present application, but are not intended to limit the present application.

[0034] FIG1 is a schematic diagram of a multi-channel, multi-mode, self-optimizing communication pressure control intelligent system according to an embodiment of the present application, comprising: multiple communication modules for communicating with different data sources, a multi-channel communication module, a communication mode management module, a data acquisition module, an intelligent decision module, and an automatic control module; the multi-channel communication module comprises multiple channels, each of which is implemented using at least one communication module; wherein,

[0035] A communication mode management module is used to optimize the communication module corresponding to the managed pressure drilling data of each data source according to the communication requirements of the managed pressure drilling data of different data sources. The communication module includes a wireless communication module and a wired communication module;

[0036] A data acquisition module, configured to acquire the managed pressure drilling data from each data source through a communication module corresponding to each data source;

[0037] An intelligent decision-making module is used to determine pressure control parameters based on the collected pressure control drilling data, generate pressure control instructions based on the pressure control parameters, and feed back to the automatic control module through the multi-channel communication module;

[0038] The automatic control module is used to send the pressure control instruction to the pressure control actuator through the multi-channel communication module to perform the pressure control operation.

[0039] In the embodiment of the present application, it is possible to automatically identify communication needs, flexibly and self-optimize the configuration of on-site communication methods without interfering with each other, thus overturning the traditional communication methods; adopting multi-channel and redundant transmission to avoid information data transmission failures, ensure data integrity and transmission timeliness, and ensure the reliability and stability of on-site equipment and operation transmission data; designing intelligent decision-making modules and automatic control modules can unify management, allocation, analysis and decision-making, realize the coordination of information data, improve the efficiency and intelligent analysis of information data, and realize the fine management, precise analysis and intelligent decision-making of pressure-controlled drilling information. Therefore, the method of the present application is conducive to improving the level of information data management, information transmission efficiency and equipment intelligent control capabilities of pressure-controlled drilling, and closely follows the development needs of informationization, digitization, automation and intelligence of pressure-controlled drilling sites.

[0040] In one embodiment, the communication module includes a wireless communication module and a wired communication module. The wireless communication module includes at least a LoRa module, a WiFi module, and a wireless bridge module, and the wired communication module includes at least a serial RS232 module, a serial RS485 module, and an RJ45 module. Figure 2 is a schematic diagram of the automatic optimization of the communication mode management module in the embodiment of this application, and Figure 3 is a schematic diagram of the interaction between the multi-channel, multi-mode, self-optimizing communication pressure control intelligent system, the data terminal, and the cloud system in the embodiment of this application. Detailed descriptions are given below.

[0041] In one embodiment, the communication requirements include the communication environment, data volume, communication distance, and communication requirements of managed pressure drilling; the data sources include engineering logging, sensors, and electronically controlled throttle valves, and the managed pressure drilling data includes engineering logging data, sensor data, and electronically controlled throttle valve data.

[0042] During specific implementation, the communication mode management module optimizes the communication module corresponding to the managed pressure drilling data of each data source according to the communication requirements of the managed pressure drilling data of different data sources. The communication module includes a wireless communication module and a wired communication module, specifically including:

[0043] (1) When the data source is engineering logging, the communication module corresponding to the pressure-controlled drilling data of each engineering logging is optimized according to the communication requirements of the engineering logging data.

[0044] In a communication environment where wiring is easy, data volume is large, and communication distance is short (e.g., within 100 meters), and the communication requirements for managed pressure drilling are video transmission and no information lag, the communication module is determined to be an RJ45 network port module.

[0045] In a communication environment characterized by high costs for long distances, difficulty in wiring, large amounts of data, and long communication distances (theoretically <80 km), where the communication requirement for managed pressure drilling is video transmission, information may be delayed and interfered with over long distances, and the module is more susceptible to interference than an RJ45 network port module, a wireless bridge module is selected as the communication module.

[0046] In a communication environment with difficult wiring, small data volume, medium communication distance (e.g., less than 15 km), and where the communication requirements for managed pressure drilling are industrial interactive data, low power consumption, information may be delayed and interfered over long distances, and the module is more susceptible to interference than the network port RJ45 module, the LORA module is selected as the communication module.

[0047] When the communication environment is difficult to wire, the data volume is large, the communication distance is short (for example, 35m-50m), and the communication requirement of managed pressure drilling is video transmission, the communication module is determined to be a WIFI module.

[0048] (2) When the data source is a sensor (pressure sensor, valve position sensor, video sensor), the communication module corresponding to the sensor data of each sensor is optimized according to the communication requirements of the sensor data.

[0049] In a communication environment where wiring is easy, data volume is large, and communication distance is short (e.g., within 100 meters), and the communication requirements for managed pressure drilling are video transmission and no information lag, the communication module is determined to be an RJ45 network port module.

[0050] In a communication environment characterized by high costs for long distances, difficulty in wiring, large amounts of data, and long communication distances (theoretically <80 km), where the communication requirement for managed pressure drilling is video transmission, information may be delayed and interfered with over long distances, and the module is more susceptible to interference than an RJ45 network port module, a wireless bridge module is selected as the communication module.

[0051] When the communication environment is point-to-point, the communication distance is short (theoretically 10m), and the communication requirement of managed pressure drilling is low power consumption, the communication module is determined to be a serial port RS232 module;

[0052] When the communication environment is networking and point-to-multipoint, the communication distance is long (theoretically 1200m), and the communication requirement of managed pressure drilling is low power consumption, the communication module is determined to be a serial port RS485 module.

[0053] (2) When the data source is an electronically controlled throttle valve, the communication module corresponding to the electronically controlled throttle valve data of each electronically controlled throttle valve is optimized according to the communication requirements of the electronically controlled throttle valve data of the electronically controlled throttle valve.

[0054] When the communication environment is point-to-point, the communication distance is short (theoretically 10m), and the communication requirement of managed pressure drilling is low power consumption, the communication module is determined to be a serial port RS232 module;

[0055] When the communication environment is networking and point-to-multipoint, the communication distance is long (1200m), and the communication requirement of managed pressure drilling is low power consumption, the communication module is determined to be a serial port RS485 module.

[0056] The above-mentioned, for example, integrated multiple wired and wireless communication modes can realize the optimal communication and automatic optimization configuration of communication modes for different environments, data volumes, communication distances, and equipment ports of pressure-controlled drilling well sites (the pressure-controlled intelligent system comprehensively analyzes various information transmission and pressure-controlled drilling requirements, and automatically analyzes and selects, and matches communication modes to corresponding needs based on transmission speed, efficiency, stability, power consumption, port characteristics and data integrity, and information decision reliability, to meet the operational requirements of accurate pressure-controlled drilling decision-making information and timely information feedback), seamless real-time intelligent conversion, good compatibility of communication mode terminals, high data transmission efficiency, optimal efficacy, timely and reliable information transmission, complete and accurate data, accurate and reliable analysis and decision-making, and easy use.

[0057] In this embodiment, the data acquisition module can be used as a sub-hardware system of the multi-channel multi-mode self-optimizing communication pressure control intelligent system. The intelligent decision module can be used as a sub-software system of the multi-channel multi-mode self-optimizing communication pressure control intelligent system.

[0058] The subsequent intelligent decision-making module analyzes the managed pressure drilling data collected by the data acquisition module to achieve efficient and reliable data analysis. The intelligent decision-making module then classifies and uniformly manages the data, performing data analysis and intelligent decision-making. As the data brain, the intelligent decision-making module can achieve centralized management of managed pressure drilling site big data, information sharing, data analysis, intelligent decision-making, decision-control, and decision-making information feedback, and other information data management and control. Applied to managed pressure drilling field equipment, it improves the automation and digitization level of managed pressure drilling, allows for upgrading and retrofitting existing and future equipment, enhances the precise management and intelligent control capabilities of managed pressure drilling, and promotes the large-scale application of managed pressure drilling technology. The intelligent decision-making module can make comprehensive decisions and calibrate the current pressure control strategy based on field data such as drilling and logging, pressure control, geological characteristics of the formation, and the purpose of the operation, maximizing the effectiveness of managed pressure drilling in reducing well control risks, narrowing the density window, increasing speed, reducing complexity, and protecting the reservoir.

[0059] During specific implementation, the intelligent decision-making module automatically simulates and analyzes the collected pressure-controlled drilling data, corrects the formation safety window in real time, and conducts big data analysis and intelligent decision-making.

[0060] In addition, the communication module can also include a Beidou satellite module to realize the positioning of the multi-channel multi-mode self-optimizing communication pressure control intelligent system, and enable the cloud system to analyze the system, team distribution and statistics.

[0061] Figure 4 is a communication flow diagram in an embodiment of the present application, in which the engineering logging data collected by the engineering logging equipment is transferred to the data acquisition unit module through communication A, the sensor data and the electronically controlled valve data are transferred to the data acquisition unit module through communication B, the Beidou satellite system communicates with the intelligent decision-making module through communication H (Beidou satellite module transmission), the intelligent decision-making module communicates with the data terminal through communication C (multi-channel communication module, for example, it can be 4G module transmission), the intelligent decision-making module communicates with the cloud system through communication I (virtual VPN composed of 4G module), the intelligent decision-making module communicates with the automatic control module through communication F (multi-channel communication module), the automatic control module communicates with the automatic control module through communication G (multi-channel communication module), and the control display module sends real-time data (throttle valve data) to the decision control module through communication E (multi-channel communication module).

[0062] In one embodiment, the intelligent decision-making module is specifically used to:

[0063] Determine the target pressure control strategy based on the operation objectives and collected engineering logging data;

[0064] Determine the control strategy based on the pressure control target strategy;

[0065] Determine pressure control parameters according to control strategy;

[0066] Generate pressure control instructions based on pressure control parameters and sensor data.

[0067] Among them, engineering logging data includes formation geological characteristic data (including whether it is a reservoir, formation stratification, formation lithology, wellbore stability, leakage conditions and characteristics, formation fluid conditions, etc.), drilling data (including mechanical penetration rate, drilling displacement, drilling fluid properties, delay time, wellbore temperature and pressure, etc.), and surface monitoring data (return fluid pressure and temperature, return flow rate, and return multiphase fluid composition / proportion monitoring and analysis data);

[0068] The target strategies for pressure control include at least reducing well control risk, narrowing density window, increasing speed, reducing complexity and protecting reservoir.

[0069] The control strategies include at least overbalance, micro-overbalance, near balance, micro-underbalance and underbalance.

[0070] The following is a specific case of centrally determining the voltage control parameters:

[0071] (1) The pressure control target decision is to reduce the well control risk → the control strategy is overbalance → automatic decision to optimize the pressure control value or manual decision to control the pressure control value;

[0072] (2) The pressure control target decision is to reduce the well control risk + narrow density window → the control strategy is slightly overbalance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0073] (3) The pressure control target decision is to reduce well control risk and complexity → the control strategy is near balance → automatic decision-making to optimize the pressure control value or manual decision-making;

[0074] (4) The pressure control target decision is to reduce well control risk and protect the reservoir → the control strategy is near balance → automatic decision-making to optimize the pressure control value or manual decision-making;

[0075] (5) The pressure control target decision is to reduce well control risk + narrow density window + protect reservoir → the control strategy is near balance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0076] (6) The pressure control target decision is a narrow density window → the control strategy is near balance → automatic decision-making to optimize the pressure control value or manual decision-making of the pressure control value;

[0077] (7) The pressure control target decision is speed increase + no well control risk → the control strategy is near balance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0078] (8) The pressure control target decision is speed increase + well control risk exists → the control strategy is slightly overbalance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0079] (9) The pressure control target decision is speed increase + reservoir protection + no well control risk → the control strategy is slightly underbalanced → automatic decision-making to optimize the pressure control value or manual decision-making of the pressure control value;

[0080] (10) The pressure control target decision is speed increase + reservoir protection + well control risk → the control strategy is near balance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0081] (11) The pressure control target decision is to reduce complexity (wellbore instability) → the control strategy is overbalance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0082] (12) The pressure control target decision is to reduce complexity (overflow) → the control strategy is overbalancing → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0083] (13) The pressure control target decision is to reduce complexity (drilling stuck) → the control strategy is to be close to balanced → automatic decision to optimize the pressure control value or manual decision to optimize the pressure control value;

[0084] (14) The pressure control target decision is to reduce complexity (loss) → the control strategy is underbalance → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0085] (15) The pressure control target decision is to protect the reservoir + no well control risk → the control strategy is slightly underbalanced → automatic decision to optimize the pressure control value or manual decision to control the pressure value;

[0086] (16) The pressure control target decision is to protect the reservoir + there is a well control risk → the control strategy is near balance → automatic decision to optimize the pressure control value or manual decision to control the pressure value.

[0087] The pressure control parameters mainly refer to the pressure value.

[0088] In addition, there are two ways to obtain the pressure control instructions in the embodiments of the present application. One is that the intelligent decision-making module generates the pressure control instructions based on the pressure control parameters, which is to automatically obtain the pressure control value of the intelligent decision. The other is to use the pressure control value input by manual decision to regenerate the pressure control instructions.

[0089] Specifically, according to the pressure control parameters and sensor data (such as pressure value and valve position opening), a pressure control instruction is generated based on a control strategy that combines accuracy judgment, differential control, segmented pressure change and big data analysis.

[0090] The pressure control instruction is fed back to the automatic control module through the multi-channel communication module (the channel of the multi-channel communication module can be implemented by the LORA module, WIFI module, wireless bridge module and RJ45 module). The automatic control module sends the pressure control instruction to the pressure control actuator through the multi-channel communication module (the channel can be implemented by the RS232 module and RS485 module) to perform the pressure control operation. The pressure control actuator can be an electronically controlled throttle valve.

[0091] In one embodiment, the intelligent decision-making module is further configured to:

[0092] Generate risk warning information based on control strategies.

[0093] In this embodiment, the risk warning information includes risk warning information on overflow, leakage, oil, gas and water intrusion, etc.

[0094] In one embodiment, the intelligent decision-making module is further configured to:

[0095] Generate drilling parameters and drilling fluid performance parameters based on control strategies;

[0096] Generate control decision information based on pressure control parameters, drilling parameters and drilling fluid performance parameters;

[0097] Feedback the control decision information to the automatic control module through the multi-channel communication module;

[0098] The automatic control module is also used to:

[0099] The control decision information is sent to the pressure control actuator through the multi-channel communication module.

[0100] In this embodiment, drilling parameters include displacement, rotational speed, and drilling rate, while drilling fluid properties include system, density, viscosity, solids content, and lubricity. Furthermore, control decision information includes pressure control measures, drilling measures, drilling fluid measures, and logging measures. These measures include choking the manifold for the well crew, increasing drilling fluid density, re-slurry capping, circulating exhaust, strengthening key parameter monitoring, and plugging leaks. This control decision information is then comprehensively determined and executed by technical personnel. The automatic control module transmits this control decision information to the pressure control actuator via the multi-channel communication module.

[0101] In one embodiment, the system further comprises a control display module;

[0102] The automatic control module is further configured to: receive data fed back by the pressure control actuator through the multi-channel communication module, the data fed back by the pressure control actuator including at least one of throttle valve data, acquisition data, and decision data; and send the data fed back by the pressure control actuator to the control display module;

[0103] The control display module is used to: feed back the data fed back by the pressure control actuator to the intelligent decision-making module;

[0104] The intelligent decision-making module is also used to transmit the data fed back by the pressure control actuator to the cloud system through the virtual VPN composed of the 4G module.

[0105] The throttle valve will control the control pressure value within the set value accuracy range.

[0106] Data terminals include mobile devices, CNC hosts and on-site remote monitoring systems.

[0107] The pressure control actuator and the electric throttle valve are external units that receive instructions or control.

[0108] The cloud system is a cloud-based digital management platform that is an external support platform for information and digitalization. It can realize remote monitoring, analysis, display and information storage. It does not participate in control and provides on-site real-time or historical information basis for expert technical support.

[0109] In one embodiment, the intelligent decision-making module is further configured to:

[0110] Sending control decision information to the data terminal through the multi-channel communication module;

[0111] Receiving decision analysis data generated by the data terminal based on the control decision information;

[0112] Feedback the decision analysis data to the automatic control module through the multi-channel communication module;

[0113] The automatic control module is also used to:

[0114] The decision analysis data is sent to the pressure control actuator through the multi-channel communication module.

[0115] In this embodiment, the decision analysis data is sent by the data terminal (the data terminal in the embodiment of the present application is actually a local remote monitoring system, including a non-movable terminal (desktop computer, etc.) and a mobile terminal (tablet, notebook, etc.)) to the system proposed in the embodiment of the present application. Through the above technical solution, the drilling, recording and operation information exchange and remote information sharing within the local area network can be realized, providing an information channel for the comprehensive management of drilling and completion big data and remote support.

[0116] According to the above content, the data mentioned in the embodiments of this application currently include pressure-controlled drilling data, pressure-controlled instructions, pressure-controlled target strategies, pressure-controlled parameters, risk warning information, control decision information, and decision analysis data. There are many types of these data, so refined storage management is required.

[0117] The embodiment of the present application provides two data storage methods, including a cache module and a data storage device.

[0118] In one embodiment, the system further includes a cache module and a data storage;

[0119] The intelligent decision-making module is also used to: screen key and non-key data from all data, including managed pressure drilling data, pressure control instructions, pressure control target strategies, pressure control parameters, risk warning information, control decision information, and decision analysis data;

[0120] Store critical data in the cache module and forward non-critical data to the data storage through the data acquisition module;

[0121] The cache module is used to: store key data in a distributed two-dimensional grid information cache management mode;

[0122] The data storage device is used to store non-critical data in a multi-dimensional real-time transfer data management mode, and transmit it to the cloud system through the virtual transfer VPN composed of 4G modules.

[0123] The cached data and transferred data have relatively independent transmission channels, ensuring that multiple information do not interfere with each other, improving information sharing, data management and equipment intelligent control capabilities. The data flow can be expressed as follows:

[0124] Key data → data cache → intelligent decision-making module can perform data analysis, intelligent decision-making, and data display → intelligent decision-making module can perform analysis and early warning, decision control → automatic control module can perform control execution → data transfer;

[0125] Non-critical data → Data transfer → Data storage and upload to the cloud system → Cloud system for big data analysis, comprehensive intelligent decision-making, information data visualization, construction history analysis, and remote expert control and timely support. This improves the timeliness of data analysis, decision control, and presentation, reduces data redundancy-induced data blockage and loss, and improves the stability and reliability of data analysis and intelligent decision-making.

[0126] FIG5 is a schematic diagram of a distributed two-dimensional grid information cache management mode in an embodiment of the present application, specifically caching two-dimensional grid "name-value" information, so that information transmission and sharing are timely, data are complete and accurate, information lag and data loss are avoided, data analysis is timely and intelligent decision-making is accurate, and real-time information sharing, precise and timely control of each monitoring terminal in the field and remote expert platform for on-site construction control and technical support are achieved. Assuming M=2, column 1 on the X-axis is the wellhead pressure, column 2 is the throttle valve opening, and Y is the cache data of N points determined according to the decision analysis requirements. Assuming that N is 3. The data cache time interval is 1S, then X=2, Y=3, then the 1:1 coordinate is the wellhead pressure read from 0 to 1s (excluding 1s), the 1:2 coordinate is the wellhead pressure read from 1 to 2s (excluding 2s), the 1:3 coordinate is the wellhead pressure read from 2 to 3s (excluding 3s), the 2:1 coordinate is the throttle valve opening data read from 0 to 1s (excluding 1s), the 2:1 coordinate is the throttle valve opening data read from 1 to 2s (excluding 2s), and the 2:1 coordinate is the throttle valve opening data read from 2 to 3s (excluding 3s). Coordinate gridding is used to achieve caching and reading.

[0127] Figure 6 is a schematic diagram of the multi-dimensional instant data transfer management mode in the embodiment of the present application, specifically the "time-name-value" with time as the axis for multi-dimensional instant transfer, which can be fed back to the data acquisition module as a whole, and there is a data storage device and uploaded cloud system storage, providing complete data information for big data analysis, comprehensive intelligent decision-making, information data visualization, construction history analysis, and remote expert control and timely support. At this time, M=2, the X-axis P1 column is the wellhead pressure, and the P2 column is the throttle valve opening. T1-TN is stored according to the time step. The time step can be considered as a setting, then the 1:1 coordinate is the wellhead pressure at the time point T1, the 2:1 coordinate is the throttle valve opening at the time point T1, the 1:1 coordinate is the wellhead pressure at the time point T1, the 2:2 coordinate is the throttle valve opening at the time point T2, and so on. The multi-dimensional coordinate grid is used to realize transfer, reading, display and analysis to avoid data information congestion.

[0128] FIG7 is a flow chart of an intelligent voltage control method for multi-channel multi-mode self-optimizing communication according to an embodiment of the present application, including:

[0129] Step 701, based on the communication requirements of the managed pressure drilling data from different data sources, optimizing the communication module corresponding to the managed pressure drilling data from each data source;

[0130] Step 702: collecting the managed pressure drilling data from each data source through the communication module corresponding to each data source;

[0131] Step 703: Determine pressure control parameters based on the collected pressure control drilling data, and generate pressure control instructions based on the pressure control parameters;

[0132] Step 704: Send the pressure control instruction to the pressure control actuator through the multi-channel communication module to execute the pressure control operation. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module.

[0133] In one embodiment, the communication module includes a wireless communication module and a wired communication module. The wireless communication module includes at least a LORA module, a WIFI module and a wireless bridge module. The wired communication module includes at least a serial port RS232 module, a serial port RS485 module and an RJ45 module.

[0134] In one embodiment, the communication requirements include the communication environment, data volume, communication distance, and communication requirements of managed pressure drilling;

[0135] The data sources include engineering logging, sensors and electronically controlled choke valves, and the managed pressure drilling data includes engineering logging data, sensor data and electronically controlled choke valve data.

[0136] In one embodiment, determining pressure control parameters based on collected managed pressure drilling data and generating pressure control instructions based on the pressure control parameters include:

[0137] Determine the target pressure control strategy based on the operation objectives and collected engineering logging data;

[0138] Determine the control strategy based on the pressure control target strategy;

[0139] Determine pressure control parameters according to control strategy;

[0140] Generate pressure control instructions based on pressure control parameters and sensor data.

[0141] In one embodiment, the method further comprises:

[0142] Generate risk warning information based on control strategies.

[0143] In one embodiment, the method further comprises:

[0144] Generate drilling parameters and drilling fluid performance parameters based on control strategies;

[0145] Generate control decision information based on pressure control parameters, drilling parameters and drilling fluid performance parameters;

[0146] The control decision information is sent to the pressure control actuator through the multi-channel communication module.

[0147] In one embodiment, the method further comprises:

[0148] Send control decision information to the data terminal through various communication modules;

[0149] Receiving decision analysis data generated by the data terminal based on the control decision information;

[0150] The decision analysis data is sent to the pressure control actuator through the multi-channel communication module.

[0151] In one embodiment, the method further comprises:

[0152] receiving data fed back by a pressure control actuator through a multi-channel communication module, wherein the data fed back by the pressure control actuator includes at least one of throttle valve data, collected data, and decision data;

[0153] The data fed back by the pressure control actuator is transmitted to the cloud system through the virtual network VPN composed of 4G modules.

[0154] In one embodiment, the method further comprises:

[0155] Filter key and non-key data from all data, including managed pressure drilling data, pressure control instructions, pressure control target strategies, pressure control parameters, risk warning information, control decision information, and decision analysis data;

[0156] Store critical data in the cache module and forward non-critical data to the data storage through the data acquisition module;

[0157] Among them, the cache module stores key data in a distributed two-dimensional grid information cache management mode;

[0158] Among them, the data storage device stores non-critical data in a multi-dimensional real-time transfer data management mode, and transmits it to the cloud system through a virtual transfer VPN composed of 4G modules.

[0159] The system and method proposed in the embodiments of the present application have the following beneficial effects:

[0160] (1) An on-site and remote communication mode integrating multiple channels and multiple communication modes has been constructed, and the automatic optimization configuration of channels and communication modes can be realized through the pressure control intelligent system. The intelligent decision-making module integrates multiple wired and wireless communication modes and the communication modes of sensors and data terminals (equipment, platform, cloud system) to automatically coordinate and match them according to the purpose requirements and maximize the effectiveness. Data communication adopts multi-channel and redundant transmission to avoid information data transmission failures, ensure data integrity and transmission timeliness, and realize information synchronization communication and control of multiple data terminals (equipment, platform, cloud system) in complex well site environments, mobile office, on-site and remote sharing support. The communication is more stable and timely, the terminal compatibility is strong, the expansion is easier and the effectiveness is optimal, and the seamless real-time intelligent conversion achieves the perfect matching and integration of channels and communication modes, improves the compatibility of terminal communication modes, data transmission efficiency, data integrity, analysis and decision accuracy, effectiveness and convenience.

[0161] (2) Develop an intelligent decision-making module with intelligent and efficient data management. The intelligent decision-making module can be used to conduct multi-threaded centralized classification and refined management of big data, adopt a two-dimensional grid information cache (information transmission and sharing is timely, data is complete and accurate, to avoid information lag and data loss, to ensure timely data analysis and accurate intelligent decision-making, to achieve real-time information sharing, precise and timely control of various monitoring terminals within the site, and remote expert platform for on-site construction control and technical support) and a time-based multi-dimensional instant transfer data management mode (overall feedback to the data acquisition module, data storage and upload cloud system storage, to provide complete data information for big data analysis, comprehensive intelligent decision-making, information data visualization, construction history analysis and remote expert control and timely support), to achieve non-interference of multiple information, and improve data acquisition, reading, writing, analysis capabilities and equipment intelligent monitoring level.

[0162] (3) The intelligent decision-making module has a high degree of data analysis and intelligent decision-making capabilities. Based on the purpose of the operation, it integrates the geological characteristic data of the formation (whether it is a reservoir, formation stratification, formation lithology, well wall stability, leakage situation and characteristics, formation fluid situation, etc.), drilling data (mechanical drilling speed, drilling displacement, drilling fluid performance, delay time, wellbore temperature and pressure, etc.), and ground monitoring data (return fluid pressure temperature, return flow, return multiphase fluid composition / proportion monitoring and analysis), automatically simulates and analyzes, and corrects the formation safety window in real time. It conducts big data analysis, intelligent decision-making, and automatically optimizes the pressure control target strategy (reducing the wellbore pressure). Control risks, narrow density window, speed increase, complexity reduction, and reservoir protection), match control strategies (overbalance, micro-overbalance, near balance, micro-underbalance, and underbalance), and optimize in real time the pressure control parameters (pressure control value), drilling parameters (displacement, rotation speed, drilling speed), drilling fluid properties (system, density, viscosity, solid content, lubrication) and pressure control measures, drilling measures, drilling fluid measures, and logging measures (throttling manifold process for well transfer teams, increasing drilling fluid density, heavy slurry cap, circulating exhaust, strengthening key parameter monitoring, and plugging leaks) under different working conditions and well conditions.

[0163] An embodiment of the present application also provides a computer device. Figure 8 is a schematic diagram of the computer device in the embodiment of the present application. The computer device 800 includes a memory 810, a processor 820, and a computer program 830 stored in the memory 810 and executable on the processor 820. When the processor 820 executes the computer program 830, the above-mentioned multi-channel multi-mode self-optimizing communication intelligent pressure control method is implemented.

[0164] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned intelligent pressure control method for multi-channel multi-mode self-optimizing communication.

[0165] An embodiment of the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the above-mentioned intelligent voltage control method for multi-channel multi-mode self-optimizing communication.

[0166] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0167] The present application is described with reference to the flow chart and / or block diagram of the method, device (system), and computer program product according to the embodiment of the present application. It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processing machine or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one flow chart flow or multiple flows and / or one box or multiple boxes of the block diagram.

[0168] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0169] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0170] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A multi-channel multi-mode self-optimizing communication voltage control intelligent system, characterized in that: include: Multiple communication modules, multi-channel communication modules, communication mode management modules, data acquisition modules, intelligent decision modules and automatic control modules for communicating with different data sources; the multi-channel communication module includes multiple channels, each channel is implemented by at least one communication module; wherein, A communication mode management module, used to optimize the communication module corresponding to the managed pressure drilling data of each data source according to the communication requirements of the managed pressure drilling data of different data sources, wherein the communication module includes a wireless communication module and a wired communication module; A data acquisition module, used to acquire the pressure-controlled drilling data of each data source through a communication module corresponding to each data source; An intelligent decision-making module is used to determine pressure control parameters according to the collected pressure control drilling data, generate pressure control instructions according to the pressure control parameters, and feed back to the automatic control module through the multi-channel communication module; The automatic control module is used to send the pressure control instruction to the pressure control actuator through the multi-channel communication module to perform the pressure control operation.

2. The system according to claim 1, characterized in that The communication module includes a wireless communication module and a wired communication module. The wireless communication module includes at least a LORA module, a WIFI module and a wireless bridge module. The wired communication module includes at least a serial port RS232 module, a serial port RS485 module and an RJ45 module.

3. The system according to claim 1, characterized in that The communication requirements include communication environment, data volume, communication distance and communication requirements of managed pressure drilling; The data sources include engineering logging, sensors and electronically controlled throttle valves, and the pressure-controlled drilling data include engineering logging data, sensor data and electronically controlled throttle valve data.

4. The system according to any one of claims 1 to 3, characterized in that: The intelligent decision-making module is specifically used for: Determine the target strategy for pressure control based on the operation purpose and the collected engineering logging data; Determine the control strategy based on the pressure control target strategy; Determine the pressure control parameters according to the control strategy; Generate pressure control instructions based on pressure control parameters and sensor data.

5. The system according to any one of claims 1 to 3, characterized in that: The intelligent decision-making module is also used to: Generate risk warning information based on control strategies.

6. The system according to claim 1, characterized in that The intelligent decision-making module is also used to: Generate drilling parameters and drilling fluid performance parameters according to the control strategy; Generate control decision information based on pressure control parameters, drilling parameters and drilling fluid performance parameters; Feedback the control decision information to the automatic control module through the multi-channel communication module; Display decision information through the control display module and provide early warning prompts; The automatic control module is also used to: The control decision information is sent to the pressure control actuator through the multi-channel communication module.

7. The system according to claim 4 or 5, characterized in that: The intelligent decision-making module is also used to: Generate drilling parameters and drilling fluid performance parameters according to the control strategy; Generate control decision information based on pressure control parameters, drilling parameters and drilling fluid performance parameters; Feedback the control decision information to the automatic control module through the multi-channel communication module; Display decision information through the control display module and provide early warning prompts; The automatic control module is also used to: The control decision information is sent to the pressure control actuator through the multi-channel communication module.

8. The system according to claim 6, characterized in that The communication module also includes a 4G module.

9. The system according to claim 6, characterized in that The intelligent decision-making module is also used to: Sending control decision information to data terminals through various communication modules; Receiving decision analysis data generated by the data terminal according to the control decision information; Feedback the decision analysis data to the automatic control module through the multi-channel communication module; The automatic control module is also used to: The decision analysis data is sent to the pressure control actuator through the multi-channel communication module.

10. The system according to claim 9, characterized in that Also includes a control display module; The automatic control module is also used for: receiving data fed back by the pressure control actuator through the wired communication module, the data fed back by the pressure control actuator including at least one of throttle valve data, collection data and decision data; sending the data fed back by the pressure control actuator to the control display module; The control display module is used to: feed back the data fed back by the pressure control actuator to the intelligent decision-making module; The intelligent decision-making module is also used to transmit the data fed back by the pressure control actuator to the cloud system through the virtual switching VPN composed of the 4G module.

11. The system according to claim 9, characterized in that Also includes a cache module and a data storage; The intelligent decision-making module is also used to: screen key data and non-key data from all data, including pressure-controlled drilling data, pressure-controlled instructions, pressure-controlled target strategies, pressure-controlled parameters, risk warning information, control decision information, and decision analysis data; The critical data is stored in a cache module, and the non-critical data is forwarded to a data storage device through a data acquisition module; The cache module is used to: store key data in a distributed two-dimensional grid information cache management mode; The data storage device is used to store non-critical data in a multi-dimensional real-time transfer data management mode, and transmit it to the cloud system through the virtual transfer VPN composed of 4G modules.

12. An intelligent voltage control method for multi-channel multi-mode self-optimizing communication, characterized in that: include: According to the communication requirements of the managed pressure drilling data from different data sources, optimize the communication module corresponding to the managed pressure drilling data from each data source; Collecting the pressure-controlled drilling data of each data source through the communication module corresponding to each data source; Determine pressure control parameters based on the collected pressure control drilling data, and generate pressure control instructions based on the pressure control parameters; The pressure control instruction is sent to the pressure control actuator through the multi-channel communication module to execute the pressure control operation. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module.

13. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method of claim 12 is implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method of claim 12 is implemented.

15. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method of claim 12 is implemented.

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