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

Abstract

The invention discloses a multi-channel multi-mode self-optimization communication pressure control intelligent system and method, and the system comprises a communication mode management module which is used for optimizing a communication module corresponding to pressure control drilling data of each data source according to the communication demands of the pressure control drilling data of different data sources, and a multi-channel communication module comprises a plurality of channels, each channel is realized by adopting at least one communication module; the data acquisition module is used for acquiring pressure control drilling data of each data source through the communication module corresponding to each data source; the intelligent decision module is used for determining pressure control parameters according to the collected pressure control drilling data, generating a pressure control instruction and feeding back the pressure control instruction to the automatic control module through the multi-channel communication module; and the automatic control module is used for sending the pressure control instruction to the pressure control execution mechanism through the multi-channel communication module to execute pressure control operation. According to the invention, automatic identification can be realized, a field communication mode can be flexibly self-optimized and configured, interference is avoided, and accurate analysis and intelligent decision-making of pressure-controlled drilling are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of fine pressure control drilling and intelligent pressure control drilling, and particularly relates to a pressure control intelligent system and method for multi-channel and multi-mode self-optimizing communication. Background Art

[0002] This section aims to provide background or context for the embodiments of the present invention stated in the claims. The description herein is not admitted to be prior art merely by virtue of its inclusion in this section.

[0003] The technology and system of pressure control drilling tend to develop towards intelligence, and information communication and big data management are becoming increasingly important in realizing fine and intelligent management and control of pressure control. The intelligent development and fine management and control are the inevitable way for pressure control drilling technology, which effectively integrates traditional pressure control technology with means such as information technology and big data technology. Reliable information communication enables more effective monitoring of all aspects and engineering information related to pressure control drilling. The efficient management and analysis of big data are the core keys to realizing intelligent decision-making and control.

[0004] Due to the great difficulty in communication connection at the workplace and the development of mobility and informatization, the demand for wireless communication and network security is increasing. There are numerous equipment, pipelines, and mobile barracks at the drilling site where pressure control drilling is located, and vehicles are frequent. It is difficult to install wired communication and there is a risk of being easily damaged. At the same time, due to the requirements for mobile office and informatization, the demand for in-site wireless communication and remote information security transmission increases.

[0005] The communication modes of existing data terminals are relatively single and the number of channels is small, which cannot meet the data communication and control requirements of different needs. The performance of on-site operation equipment, data management requirements, and information transmission distances are different. How to realize the effective information interconnection, sharing, and monitoring of numerous on-site devices, and ensure low-cost investment, high-efficiency and reliable operation, it is very necessary to apply a combination of multiple communication modes, and at the same time design multiple information channels to classify and manage the transmission of information and data according to needs, avoid data information lag, loss, and blockage, and realize low-cost and effective communication and high-efficiency management of on-site big data. Summary of the Invention

[0006] In a first aspect, an embodiment of the present invention provides a pressure control intelligent system for multi-channel multi-mode self-optimizing communication, which can automatically identify and flexibly self-optimize 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 guarantee the reliability and stability of data transmitted by on-site equipment and operations; designs unified management, distribution, analysis, and decision-making to achieve the overall planning of information data, improve the efficient and intelligent analysis of information data, and realize the refined management, accurate analysis, and intelligent decision-making of pressure control drilling information. The system includes: multiple communication modules communicating with different data sources, a multi-channel communication module, a communication method management module, a data acquisition module, an intelligent decision-making module, and an automatic control module; the multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module; wherein,

[0007] The communication method management module is used to optimize the communication module corresponding to the pressure control drilling data of each data source according to the communication requirements of the pressure control drilling data of different data sources. The communication module includes a wireless communication module and a wired communication module;

[0008] The data acquisition module is used to collect the pressure control drilling data of each data source through the communication module corresponding to each data source;

[0009] The intelligent decision-making module is used to determine the pressure control parameters according to the collected pressure control drilling data, generate a pressure control instruction according to the pressure control parameters, and feedback it to the automatic control module through the multi-channel communication module;

[0010] 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.

[0011] In a second aspect, an embodiment of the present invention further provides a pressure control intelligent method for multi-channel multi-mode self-optimizing communication, which can automatically identify and flexibly self-optimize 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 guarantee the reliability and stability of data transmitted by on-site equipment and operations; designs unified management, distribution, analysis, and decision-making to achieve the overall planning of information data, improve the efficient and intelligent analysis of information data, and realize the refined management, accurate analysis, and intelligent decision-making of pressure control drilling information. The method includes:

[0012] Optimize the communication module corresponding to the pressure control drilling data of each data source according to the communication requirements of the pressure control drilling data of different data sources;

[0013] Collect the pressure control drilling data of each data source through the communication module corresponding to each data source;

[0014] Determine the pressure control parameters according to the collected pressure control drilling data, and generate a pressure control instruction according to the pressure control parameters;

[0015] Send the pressure control instruction to the pressure control actuator through the multi-channel communication module to perform the pressure control operation. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module;

[0016] In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above-mentioned pressure control intelligent method for multi-channel multi-mode self-optimizing communication is implemented.

[0017] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned pressure control intelligent method for multi-channel multi-mode self-optimizing communication is implemented.

[0018] In a fifth aspect, an embodiment of the present invention further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the above-mentioned pressure control intelligent method for multi-channel multi-mode self-optimizing communication is implemented.

[0019] In the embodiments of the present invention, the on-site communication method can be automatically identified and flexibly self-optimized for configuration, and there is no mutual interference, subverting the traditional communication method; multi-channel and redundant transmission are adopted to avoid information data transmission failures, ensure data integrity and transmission timeliness, and ensure the reliability and stability of the data transmitted by on-site equipment and operations; the intelligent decision-making module and the automatic control module are designed to uniformly manage, allocate, analyze, and make decisions, realize the overall planning of information data, improve the efficient and intelligent analysis of information data, and realize the fine management, precise analysis, and intelligent decision-making of pressure control drilling information. Therefore, the method of the present invention is beneficial to improving the management level of pressure control drilling information data, information transmission efficiency, and equipment intelligent control ability, and closely follows the development needs of on-site informatization, digitalization, automation, and intelligence of pressure control drilling. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. In the drawings:

[0021] Figure 1 It is a schematic diagram of the pressure control intelligent system for multi-channel multi-mode self-optimizing communication in the embodiments of the present invention;

[0022] Figure 2 This is the schematic diagram of the automatic optimization of the communication mode management module in the embodiment of the present invention;

[0023] Figure 3 This is the interaction schematic diagram of the pressure control intelligent system for multi-channel and multi-mode self-optimizing communication, the data terminal, and the cloud system in the embodiment of the present invention;

[0024] Figure 4 This is the communication flow chart in the embodiment of the present invention;

[0025] Figure 5 This is the schematic diagram of the distributed two-dimensional grid information caching management mode in the embodiment of the present invention;

[0026] Figure 6 This is the schematic diagram of the multi-dimensional instant transfer data management mode in the embodiment of the present invention;

[0027] Figure 7 This is the flow chart of the pressure control intelligent method for multi-channel and multi-mode self-optimizing communication in the embodiment of the present invention;

[0028] Figure 8 This is the schematic diagram of the computer device in the embodiment of the present invention. Detailed implementation manners

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer and more understandable, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but not to limit the present invention.

[0030] Figure 1 This is the schematic diagram of the pressure control intelligent system for multi-channel and multi-mode self-optimizing communication in the embodiment of the present invention, including: 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-making module, and an automatic control module; the multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module; among them,

[0031] The communication mode management module is used to optimize the communication module corresponding to the pressure control drilling data of each data source according to the communication requirements of the pressure control drilling data of different data sources, and the communication module includes a wireless communication module and a wired communication module;

[0032] The data acquisition module is used to collect the pressure control drilling data of each data source through the communication module corresponding to each data source;

[0033] The intelligent decision-making module is used to determine the pressure control parameters according to the collected pressure control drilling data, generate a pressure control instruction according to the pressure control parameters, and feedback it to the automatic control module through the multi-channel communication module;

[0034] An automatic control module for sending a pressure control instruction to a pressure control actuator through a multi-channel communication module to perform a pressure control operation.

[0035] In an embodiment of the present invention, it can automatically identify and flexibly self-optimize the configuration of on-site communication methods without interfering with each other, subverting the traditional communication method; adopting multi-channel and redundant transmission to avoid information data transmission failures, ensuring data integrity and transmission timeliness, and guaranteeing the reliability and stability of on-site equipment and operation transmission data; designing an intelligent decision-making module and an automatic control module can uniformly manage, allocate, analyze, and make decisions, realizing the overall planning of information data, improving the efficient and intelligent analysis of information data, and realizing the refined management, accurate analysis, and intelligent decision-making of pressure control drilling information. Therefore, the method of the present invention is beneficial to improving the management level of pressure control drilling information data, information transmission efficiency, and equipment intelligent control ability, meeting the development needs of on-site informatization, digitization, automation, and intelligence of pressure control drilling.

[0036] In one embodiment, the communication module includes a wireless communication module and a wired communication module. The wireless communication module at least includes a LORA module, a WIFI module, and a wireless bridge module. The wired communication module at least includes a serial port RS232 module, a serial port RS485 module, and an RJ45 module. Figure 2 This is the schematic diagram of the automatic optimization of the communication method management module in the embodiment of the present invention. Figure 3 This is the interaction schematic diagram of the pressure control intelligent system with multi-channel and multi-mode self-optimizing communication, data terminal, and cloud system in the embodiment of the present invention, which will be introduced in detail below.

[0037] In one embodiment, the communication requirements include the communication environment, data volume, communication distance, and the communication requirements of pressure control drilling; the data sources include engineering logging, sensors, and electric control throttle valves, and the pressure control drilling data includes engineering logging data, sensor data, and electric control throttle valve data.

[0038] During specific implementation, the communication method management module optimizes the communication module corresponding to the pressure control drilling data of each data source according to the communication requirements of the pressure control drilling data of different data sources. The communication module includes a wireless communication module and a wired communication module, specifically including:

[0039] (1) When the data source is engineering logging, optimize the communication module corresponding to the pressure control drilling data of each engineering logging according to the communication requirements of the engineering logging data.

[0040] When the communication environment is easy to wire, the data volume is large, the communication distance is short within 100m, and the communication requirement of pressure control drilling is video transmission and information without lag, determine the communication module as the RJ45 module of the network port.

[0041] When the communication environment is characterized by high long-distance costs, difficult wiring, large amounts of data, a long communication distance (theoretical < 80 km), and when the requirements of managed pressure drilling for communication are video transmission, possible lag and interference in long-distance information, and being more prone to interference than the RJ45 module of the network port, the communication module is determined to be a wireless bridge module;

[0042] When the communication environment is characterized by difficult wiring, small amounts of data, a medium communication distance < 15 km, and when the requirements of managed pressure drilling for communication are industrial interaction data, low power consumption, possible lag and interference in long-distance information, and being more prone to interference than the RJ45 module of the network port, the communication module is determined to be a LORA module;

[0043] When the communication environment is characterized by difficult wiring, large amounts of data, a short communication distance of 35 - 50 mm, and when the requirements of managed pressure drilling for communication are video transmission, the communication module is determined to be a WIFI module.

[0044] (2) When the data source is a sensor (pressure sensor, valve position sensor, video sensor), according to the communication requirements of the sensor data of the sensor, optimize the communication module corresponding to the sensor data of each sensor.

[0045] When the communication environment is characterized by easy wiring, large amounts of data, a short communication distance within 100 m, and when the requirements of managed pressure drilling for communication are video transmission and no lag in information, the communication module is determined to be an RJ45 network port module;

[0046] When the communication environment is characterized by high long-distance costs, difficult wiring, large amounts of data, a long communication distance (theoretical < 80 km), and when the requirements of managed pressure drilling for communication are video transmission, possible lag and interference in long-distance information, and being more prone to interference than the RJ45 module of the network port, the communication module is determined to be a wireless bridge module;

[0047] When the communication environment is point-to-point, the communication distance is short (theoretical 10 m), and when the requirements of managed pressure drilling for communication are low power consumption, the communication module is determined to be a serial port RS232 module;

[0048] When the communication environment is networking, point-to-multiple, the communication distance is long (theoretical 1200 m), and when the requirements of managed pressure drilling for communication are low power consumption, the communication module is determined to be a serial port RS485 module.

[0049] (2) When the data source is an electronically controlled throttle valve, according to the communication requirements of the electronically controlled throttle valve data of the electronically controlled throttle valve, optimize the communication module corresponding to the electronically controlled throttle valve data of each electronically controlled throttle valve.

[0050] When the communication environment is point-to-point, the communication distance is short (theoretical 10 m), and when the requirements of managed pressure drilling for communication are low power consumption, the communication module is determined to be a serial port RS232 module;

[0051] When the communication environment is for networking, point-to-multipoint, the communication distance is long (1200m), and the requirement of managed pressure drilling for communication is low power consumption, the communication module is determined to be the serial port RS485 module.

[0052] The above-mentioned preferably integrated multiple wired and wireless communication modes can achieve the optimal communication of different environments, data volumes, communication distances, and equipment ports in the managed pressure drilling well site and the automatic optimization configuration of communication modes (the managed pressure intelligent system comprehensively analyzes each information transmission and the requirements of managed pressure drilling, and automatically analyzes and optimizes, and matches the corresponding requirements of communication modes based on transmission speed, efficiency, stability, power consumption, port characteristics, data integrity, and information decision reliability to meet the operation requirements of accurate decision-making information and timely information feedback in managed pressure drilling), seamless connection and real-time intelligent conversion, good terminal compatibility of communication modes, high data transmission efficiency, optimal efficiency, timely and reliable information transmission, complete and accurate data, accurate and reliable analysis and decision-making, and convenient use.

[0053] Among them, the data acquisition module can be used as a sub-hardware system of the managed pressure intelligent system with multi-channel and multi-mode self-optimizing communication. The intelligent decision-making module can be used as a sub-software system of the managed pressure intelligent system with multi-channel and multi-mode self-optimizing communication.

[0054] Subsequently, the intelligent decision-making module analyzes the managed pressure drilling data collected by the data acquisition module to achieve efficient and reliable analysis of the data, and then the intelligent decision-making module classifies and uniformly manages it for data analysis and intelligent decision-making. As the data brain, the intelligent decision-making module can realize the management and control of information data such as centralized management of big data, information sharing, data analysis, intelligent decision-making, decision control, and decision information feedback at the managed pressure drilling site. Applied to the managed pressure on-site equipment, it can improve the automation and digital level of managed pressure drilling, upgrade and transform existing equipment and future equipment, improve the fine management and intelligent control capabilities of managed pressure drilling, and promote the large-scale application of managed pressure drilling technology. The intelligent decision-making module can comprehensively make decisions and correct the current managed pressure strategy according to on-site data such as drilling logging and managed pressure, formation geological characteristics, and operation purposes, and maximize the effects of managed pressure drilling in reducing well control risks, narrow density windows, accelerating drilling speed, reducing complexity, and protecting reservoirs.

[0055] During specific implementation, the intelligent decision-making module automatically simulates and analyzes, and real-time corrects the formation safety window based on the collected managed pressure drilling data, and conducts big data analysis and intelligent decision-making.

[0056] In addition, the communication module can also include a Beidou satellite module, which is used to locate the managed pressure intelligent system with multi-channel and multi-mode self-optimizing communication, and enable the cloud system to analyze this system, team distribution, and statistics.

[0057] Figure 4This is the communication flow diagram in the embodiment of the present invention. Among them, 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 electronic control 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 (transmitted by the Beidou satellite module), the intelligent decision-making module communicates with the data terminal through Communication C (multi-channel communication module), the intelligent decision-making module communicates with the cloud system through Communication I (virtual network transfer VPN composed of 4G modules), 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 the real-time data (choke valve data) to the decision control module through Communication E (multi-channel communication module).

[0058] In one embodiment, the intelligent decision-making module is specifically used for:

[0059] Determine the pressure control target strategy according to the operation purpose and the collected engineering logging data;

[0060] Determine the control strategy according to the pressure control target strategy;

[0061] Determine the pressure control parameters according to the control strategy;

[0062] Generate a pressure control instruction according to the pressure control parameters and the sensor data.

[0063] Among them, the engineering logging data includes formation geological characteristic data (including whether it is a reservoir, formation stratification, formation lithology, wellbore stability, loss situation and characteristics, formation fluid situation, etc.), drilling data (including mechanical drilling rate, drilling displacement, drilling fluid performance, lag time, wellbore temperature and pressure, etc.), and surface monitoring data (return fluid pressure and temperature, return flow rate, return multiphase fluid composition / ratio monitoring and analysis data);

[0064] The pressure control target strategy at least includes reducing well control risk, narrow density window, increasing speed, reducing complexity, and protecting the reservoir.

[0065] The control strategy at least includes overbalance, slightly overbalance, near balance, slightly underbalance, and underbalance.

[0066] The following gives the specific situations of centralized determination of pressure control parameters:

[0067] (1) The pressure control target decision is to reduce well control risk → the control strategy is overbalance → automatically optimize the pressure control value or manually decide the pressure control value;

[0068] (2) The pressure control target decision is to reduce well control risk + narrow density window → the control strategy is slightly overbalance → automatically optimize the pressure control value or manually decide the pressure control value;

[0069] (3) The control pressure target decision is to reduce well control risk + reduce complexity → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0070] (4) The control pressure target decision is to reduce well control risk + protect the reservoir → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0071] (5) The control pressure target decision is to reduce well control risk + narrow density window + protect the reservoir → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0072] (6) The control pressure target decision is narrow density window → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0073] (7) The control pressure target decision is to increase drilling speed + no well control risk → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0074] (8) The control pressure target decision is to increase drilling speed + there is well control risk → The control strategy is slightly overbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0075] (9) The control pressure target decision is to increase drilling speed + protect the reservoir + no well control risk → The control strategy is slightly underbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0076] (10) The control pressure target decision is to increase drilling speed + protect the reservoir + there is well control risk → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0077] (11) The control pressure target decision is to reduce complexity (hole wall instability) → The control strategy is overbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0078] (12) The control pressure target decision is to reduce complexity (kick) → The control strategy is overbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0079] (13) The control pressure target decision is to reduce complexity (stuck pipe) → The control strategy is near balance → Automatically optimize the control pressure value or manually determine the control pressure value;

[0080] (14) The control pressure target decision is to reduce complexity (lost circulation) → The control strategy is underbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0081] (15) The control pressure target decision is to protect the reservoir + no well control risk → The control strategy is slightly underbalanced → Automatically optimize the control pressure value or manually determine the control pressure value;

[0082] (16) The control pressure target decision is to protect the reservoir + there is a well control risk → the control strategy is near balance → automatically optimize the control pressure value or manually determine the control pressure value.

[0083] The control pressure parameters mainly refer to the control pressure value.

[0084] In addition, there are two ways to obtain the control pressure instruction in the embodiments of the present invention. One is that the intelligent decision-making module generates the control pressure instruction according to the control pressure parameters, which is to automatically obtain the control pressure value of the intelligent decision-making. The other is to generate the control pressure instruction by using the control pressure value input by manual decision-making.

[0085] Specifically, according to the control pressure parameters and sensor data (such as pressure value, valve position opening), based on the control strategy combining accuracy judgment, differential control, segmented pressure change and big data analysis, the control pressure instruction is generated.

[0086] The control pressure instruction is fed back to the automatic control module through the multi-channel communication module (the channels of the multi-channel communication module can be implemented by LORA module, WIFI module, wireless bridge module and RJ45 module). The automatic control module sends the control pressure instruction to the control pressure actuator through the multi-channel communication module (the channel can be implemented by RS232 module and RS485 module) to perform the control pressure operation. The control pressure actuator can be an electric control throttle valve.

[0087] In one embodiment, the intelligent decision-making module is further used for:

[0088] Generate risk warning information according to the control strategy.

[0089] Among them, the risk warning information includes risk warning information in aspects such as overflow, loss, oil-gas-water invasion, etc.

[0090] In one embodiment, the intelligent decision-making module is further used for:

[0091] Generate drilling parameters and drilling fluid performance parameters according to the control strategy;

[0092] Generate control decision-making information according to the control pressure parameters, drilling parameters and drilling fluid performance parameters;

[0093] Feed back the control decision-making information to the automatic control module through the multi-channel communication module;

[0094] The automatic control module is further used for:

[0095] Send the control decision-making information to the control pressure actuator through the multi-channel communication module.

[0096] Among them, the drilling parameters include displacement, rotation speed, and drilling rate, and the performance of the drilling fluid includes system, density, viscosity, solid content, and lubrication. In addition, the control decision information includes pressure control measures, drilling measures, drilling fluid measures, and logging measures. These measures include the choke manifold process of the well rotation team, increasing the density of the drilling fluid, heavy mud cap, circulating and exhausting gas, strengthening the monitoring of key parameters, plugging, etc. These control decision information is executed after comprehensive decision-making by technicians. The automatic control module sends the control decision information to the pressure control actuator through the multi-channel communication module.

[0097] In one embodiment, the system further includes a control display module;

[0098] The automatic control module is also used for: receiving data feedback from the pressure control actuator through the multi-channel communication module. The data feedback from the pressure control actuator includes at least one of throttle valve data, acquisition data, and decision data; sending the data feedback from the pressure control actuator to the control display module;

[0099] The control display module is used for: feeding back the data feedback from the pressure control actuator to the intelligent decision-making module;

[0100] The intelligent decision-making module is also used for: transmitting the data feedback from the pressure control actuator to the cloud system through the virtual network transfer VPN composed of 4G modules.

[0101] The throttle valve will control the pressure control value within the set value accuracy range.

[0102] The data terminal includes mobile devices, numerical control hosts, and on-site remote monitoring systems.

[0103] The pressure control actuator and the electric control throttle valve are external units that receive instructions or controls.

[0104] The cloud system is a cloud digital management platform, which belongs to an information-based and digital external support platform. It can realize remote monitoring, analysis, display, and information storage, and does not participate in control, providing on-site real-time or historical information basis for expert technical support.

[0105] In one embodiment, the intelligent decision-making module is also used for:

[0106] Sending the control decision information to the data terminal through the multi-channel communication module;

[0107] Receiving the decision analysis data generated by the data terminal according to the control decision information;

[0108] Feeding back the decision analysis data to the automatic control module through the multi-channel communication module;

[0109] The automatic control module is also used for:

[0110] Sending the decision analysis data to the pressure control actuator through the multi-channel communication module.

[0111] Among them, the decision analysis data is sent by a data terminal (in the embodiments of the present invention, the data terminal is actually a local remote monitoring system, including immovable terminals (such as desktop computers) and mobile terminals (such as tablets and laptops)) to the system proposed in the embodiments of the present invention. Through the above, information intercommunication and remote sharing of drilling, logging, and operation information within the local area network can be realized, providing an information channel for comprehensive management of drilling and completion big data and remote support.

[0112] According to the foregoing, the data mentioned in the embodiments of the present invention currently include managed pressure drilling data, managed pressure instructions, managed pressure target strategies, managed pressure parameters, risk warning information, control decision information, and decision analysis data. There are many types of these data, so refined storage management is required.

[0113] The embodiments of the present invention provide two data storage methods, including a cache module and a data memory.

[0114] In one embodiment, the system further includes a cache module and a data memory;

[0115] The intelligent decision-making module is further configured to: screen key data and non-key data from all the data, where all the data includes managed pressure drilling data, managed pressure instructions, managed pressure target strategies, managed pressure parameters, risk warning information, control decision information, and decision analysis data;

[0116] Store the key data in the cache module, and forward the non-key data to the data memory through the data acquisition module;

[0117] The cache module is configured to: store key data in a distributed two-dimensional grid information cache management mode;

[0118] The data memory is configured to: store non-key data in a multi-dimensional instant transfer data management mode and transmit it to the cloud system through a virtual private network (VPN) formed by 4G modules.

[0119] The transmission channels of the cached data and the transferred data are relatively independent, ensuring that multiple pieces of information do not interfere with each other, and improving the information sharing, data management, and device intelligent control capabilities. The data flow can be expressed as follows:

[0120] Key data → Data cache → The intelligent decision-making module can perform data analysis, intelligent decision-making, and data display → The intelligent decision-making module can perform analysis and warning, decision control → The automatic control module can perform control execution → Data transfer;

[0121] Non-critical data → Data transfer and storage → Storage and upload to the cloud system in the data storage device → Big data analysis, comprehensive intelligent decision-making, information data visualization, construction history analysis, and remote expert control and timely support are carried out in the cloud system. It can improve data analysis, decision-making control, and display timeliness, reduce faults such as data blockage and loss caused by data redundancy, and improve the stability and reliability of data analysis and intelligent decision-making.

[0122] Figure 5 This is a schematic diagram of the distributed two-dimensional grid information caching management mode in the embodiment of the present invention. Specifically, the two-dimensional grid "name - value" information is cached, so that information transmission and sharing are timely, and the data is complete and accurate, avoiding information lag and data loss, ensuring timely data analysis and accurate intelligent decision-making, realizing real-time information sharing among various monitoring terminals in the field, precise and timely control, and remote expert platform's control and technical support for on-site construction. Assume M = 2, the first column of the X-axis is the wellhead pressure, the second column is the throttle valve opening, and Y is the cached data of N points determined according to the decision analysis requirements as needed. Assume that N is 3 at this time, and the data caching time interval is 1S, then X = 2, Y = 3. Then the coordinate 1:1 is the wellhead pressure read within 0 to 1s (excluding 1s), the coordinate 1:2 is the wellhead pressure read within 1 to 2s (excluding 2s), the coordinate 1:3 is the wellhead pressure read within 2 to 3s (excluding 3s), the coordinate 2:1 is the throttle valve opening data read within 0 to 1s (excluding 1s), the coordinate 2:1 is the throttle valve opening data read within 1 to 2s (excluding 2s), and the coordinate 2:1 is the throttle valve opening data read within 2 to 3s (excluding 3s). Caching and reading are realized through coordinate grid.

[0123] Figure 6 This is a schematic diagram of the multi-dimensional instant transfer and storage data management mode in the embodiment of the present invention. Specifically, the multi-dimensional instant transfer is carried out with "time - name - value" taking time as the axis, which can be overall fed back to the data acquisition module, stored in the data storage device and uploaded to the cloud system for 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 first column P1 of the X-axis is the wellhead pressure, the second column P2 is the throttle valve opening, and T1 - TN are stored according to the time step, and the time step can be considered set. Then the coordinate 1:1 is the wellhead pressure at the time point T1, the coordinate 2:1 is the throttle valve opening at the time point T1, the coordinate 1:1 is the wellhead pressure at the time point T1, the coordinate 2:2 is the throttle valve opening at the time point T2, and so on. Transfer, reading, display, and analysis are realized through multi-dimensional coordinate grid to avoid data information blockage.

[0124] Figure 7 This is a flowchart of the pressure control intelligent method for multi-channel and multi-mode self-optimizing communication in the embodiment of the present invention, including:

[0125] Step 701: 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.

[0126] Step 702: Collect the managed pressure drilling data of each data source through the communication module corresponding to each data source.

[0127] Step 703: Determine the managed pressure parameters according to the collected managed pressure drilling data, and generate a managed pressure instruction according to the managed pressure parameters.

[0128] Step 704: Send the managed pressure instruction to the managed pressure actuator through the multi-channel communication module to perform the managed pressure operation. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module.

[0129] In one embodiment, the communication module includes a wireless communication module and a wired communication module. The wireless communication module at least includes a LORA module, a WIFI module, and a wireless bridge module. The wired communication module at least includes a serial port RS232 module, a serial port RS485 module, and an RJ45 module.

[0130] In one embodiment, the communication requirements include the communication environment, the data volume, the communication distance, and the communication requirements of the managed pressure drilling.

[0131] The data sources include engineering logging, sensors, and an electronically controlled throttle valve. The managed pressure drilling data includes engineering logging data, sensor data, and electronically controlled throttle valve data.

[0132] In one embodiment, determining the managed pressure parameters according to the collected managed pressure drilling data and generating a managed pressure instruction according to the managed pressure parameters includes:

[0133] Determine the managed pressure target strategy according to the operation purpose and the collected engineering logging data.

[0134] Determine the control strategy according to the managed pressure target strategy.

[0135] Determine the managed pressure parameters according to the control strategy.

[0136] Generate a managed pressure instruction according to the managed pressure parameters and the sensor data.

[0137] In one embodiment, the method is also used for:

[0138] Generate a risk warning message according to the control strategy.

[0139] In one embodiment, the method further includes:

[0140] Generate drilling parameters and drilling fluid performance parameters according to the control strategy.

[0141] Generate control decision information based on pressure control parameters, drilling parameters, and drilling fluid performance parameters;

[0142] Send the control decision information to the pressure control actuator through a multi-channel communication module.

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

[0144] Send the control decision information to the data terminal through multiple communication modules;

[0145] Receive the decision analysis data generated by the data terminal based on the control decision information;

[0146] Send the decision analysis data to the pressure control actuator through a multi-channel communication module.

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

[0148] Receive the data feedback from the pressure control actuator through a multi-channel communication module, where the data feedback from the pressure control actuator includes at least one of throttle valve data, acquisition data, and decision data;

[0149] Transmit the data feedback from the pressure control actuator to the cloud system through a virtual network transfer VPN composed of 4G modules.

[0150] In one embodiment, the method further includes:

[0151] Screen key data and non-key data from all data, where all data includes pressure control drilling data, pressure control instructions, pressure control target strategies, pressure control parameters, risk warning information, control decision information, and decision analysis data;

[0152] Store the key data in the cache module, and forward the non-key data to the data memory through the data acquisition module;

[0153] Among them, the cache module stores key data in a distributed two-dimensional grid information cache management mode;

[0154] Among them, the data memory stores non-key data in a multi-dimensional instant transfer data management mode and transmits it to the cloud system through a virtual network transfer VPN composed of 4G modules.

[0155] The system and method proposed in the embodiments of the present invention have the following beneficial effects:

[0156] (1) An in-field and remote communication mode integrating multi-channel and multi-communication composite modes is constructed, and the automatic optimization configuration of channels and communication modes can be realized through a pressure control intelligent system. The intelligent decision-making module integrates intelligent decision-making modules of various wired and wireless communication modes. The communication modes with sensors and data terminals (devices, platforms, cloud systems) are automatically coordinated and matched according to the purpose requirements and maximum efficiency. The 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 (devices, platforms, cloud systems) such as complex wellsite environments, mobile office, on-site and remote sharing support, etc. The communication is more stable and timely, the terminal has strong compatibility, is easier to expand and has the best efficiency, and seamlessly connects with real-time intelligent conversion to achieve perfect matching and integration of channels and communication modes, improving the compatibility of terminal communication modes, the efficiency of data transmission, data integrity, the accuracy of analysis and decision-making, efficiency and convenience.

[0157] (2) Develop an intelligent decision-making module with intelligent and efficient data management. Through the intelligent decision-making module, multi-threaded centralized classification and refined management of big data can be carried out. The two-dimensional grid information caching (information transmission and sharing are timely, the data is complete and accurate, avoiding information lag and data loss, ensuring timely data analysis and accurate intelligent decision-making, and realizing real-time information sharing of each monitoring end in the field, precise and timely control, and the remote expert platform's control and technical support for on-site construction) and the multi-dimensional instant data management mode with time as the axis (the overall feedback is given to the data acquisition module, stored in the data memory and uploaded to the cloud system for 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) are adopted to realize non-interference of multiple information, and improve the data acquisition, reading and writing, analysis capabilities and the equipment intelligent monitoring level.

[0158] (3) The intelligent decision-making module has a high level of data analysis and intelligent decision-making capabilities. Based on the operation purpose, it comprehensively analyzes formation geological characteristic data (such as whether it is a reservoir, formation stratification, formation lithology, wellbore stability, loss situation and characteristics, formation fluid situation, etc.), drilling data (ROP, drilling displacement, drilling fluid performance, lag time, wellbore temperature and pressure, etc.), and surface monitoring data (return fluid pressure and temperature, return flow rate, monitoring and analysis of the composition / ratio of the returned multiphase fluid), automatically simulates and analyzes, and real-time corrects the formation safety window, conducts big data analysis and intelligent decision-making, automatically optimizes the pressure control target strategy (reducing well control risk, narrow density window, increasing speed, reducing complexity, protecting the reservoir), matches the control strategy (overbalance, slightly overbalance, near balance, slightly underbalance, underbalance), and real-time optimizes the pressure control parameters (pressure control value), drilling parameters (displacement, rotation speed, ROP), drilling fluid performance (system, density, viscosity, solid content, lubrication), and pressure control measures, drilling measures, drilling fluid measures, and logging measures (switching to the choke manifold process of the drilling team, increasing the density of the drilling fluid, heavy mud cap, circulating and exhausting gas, strengthening the monitoring of key parameters, plugging leaks, etc.) under different working conditions and well conditions.

[0159] An embodiment of the present invention also provides a computer device, Figure 8 which is a schematic diagram of the computer device in the embodiment of the present invention. The computer device 800 includes a memory 810, a processor 820, and a computer program 830 stored on the memory 810 and executable on the processor 820. When the processor 820 executes the computer program 830, it implements the above-mentioned pressure control intelligent method for multi-channel and multi-mode self-optimizing communication.

[0160] An embodiment of the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned pressure control intelligent method for multi-channel and multi-mode self-optimizing communication.

[0161] An embodiment of the present invention also provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the above-mentioned pressure control intelligent method for multi-channel and multi-mode self-optimizing communication.

[0162] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0163] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0164] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0165] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0166] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

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

2. The system according to claim 1, wherein The communication module includes a wireless communication module and a wired communication module. The wireless communication module at least includes a LORA module, a WIFI module and a wireless bridge module, and the wired communication module at least includes 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 the communication requirements of managed pressure drilling; The data sources include engineering logging, sensors and electronic control throttle valves, and the managed pressure drilling data includes engineering logging data, sensor data and electronic control throttle valve data.

4. The system according to claim 1, wherein The intelligent decision-making module is specifically used for: Determining the managed pressure target strategy according to the operation purpose and the collected engineering logging data; Determining the control strategy according to the managed pressure target strategy; Determining the managed pressure parameters according to the control strategy; Generating a managed pressure instruction according to the managed pressure parameters and sensor data.

5. The system according to claim 1, characterized in that, The intelligent decision-making module is also used for: Generating risk warning information according to the control strategy.

6. The system according to claim 1, wherein The intelligent decision-making module is also used for: Generating drilling parameters and drilling fluid performance parameters according to the control strategy; Generating control decision-making information according to the managed pressure parameters, drilling parameters and drilling fluid performance parameters; Feeding back the control decision-making information to the automatic control module through the multi-channel communication module; Displaying the decision-making information through the control display module and giving a warning prompt; The automatic control module is also used for: Sending the control decision-making information to the managed pressure actuator through the multi-channel communication module.

7. The system according to claim 6, wherein The intelligent decision-making module is also used for: Sending the control decision-making information to the data terminal through multiple communication modules; Receiving the decision-making analysis data generated by the data terminal according to the control decision-making information; Feeding back the decision-making analysis data to the automatic control module through the multi-channel communication module; The automatic control module is also used for: Sending the decision-making analysis data to the managed pressure actuator through the multi-channel communication module.

8. The system according to claim 7, wherein It also includes a control display module; The automatic control module is also used for: receiving the data fed back by the managed pressure actuator through the wired communication module, and the data fed back by the managed pressure actuator includes at least one of throttle valve data, collected data and decision-making data; sending the data fed back by the managed pressure actuator to the control display module; The control display module is used for: feeding back the data fed back by the managed pressure actuator to the intelligent decision-making module; The intelligent decision-making module is further configured to: transmit the data fed back by the pressure control actuator to the cloud system through the virtual private network (VPN) formed by the 4G module.

9. The system according to claim 7, wherein It further includes a cache module and a data storage. The intelligent decision-making module is further configured to: screen key data and non-key data from all data, where the all data includes pressure control drilling data, pressure control instructions, pressure control target strategies, pressure control parameters, risk warning information, control decision-making information, and decision analysis data. Store the key data in the cache module, and forward the non-key data to the data storage through the data acquisition module. The cache module is configured to: store key data in a distributed two-dimensional grid information cache management mode. The data storage is configured to: store non-key data in a multi-dimensional instant transfer data management mode and transmit it to the cloud system through the virtual private network (VPN) formed by the 4G module.

10. A pressure control intelligent method for multi-channel and multi-mode self-optimizing communication, characterized in that, It includes: According to the communication requirements of pressure control drilling data from different data sources, optimize the communication module corresponding to the pressure control drilling data of each data source. Collect the pressure control drilling data of each data source through the communication module corresponding to each data source. Determine the pressure control parameters based on the collected pressure control drilling data, and generate pressure control instructions according to the pressure control parameters. Send the pressure control instructions to the pressure control actuator through the multi-channel communication module to perform pressure control operations. The multi-channel communication module includes multiple channels, and each channel is implemented by at least one communication module.

11. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method described in claim 10.

12. 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 the processor, it implements the method described in claim 10.

13. A computer program product, characterized in that, The computer program product includes a computer program, and when the computer program is executed by the processor, it implements the method described in claim 10.

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