Automatic drilling machine well drilling data analysis system and decision-making method

Abstract

The invention discloses an automatic drilling machine well drilling data analysis system and a decision-making method. The system comprises a data acquisition system, a processing and decision-making system and a driller room. The data acquisition system comprises an electric control system, an automatic system, an instrument system, a sensing system and a data acquisition device; the data acquisition device is used for acquiring data of the electric control system, the automation system, the instrument system and the sensing system; the processing and decision-making system comprises a centralized control center, an intelligent decision-making system and a remote expert diagnosis system; the intelligent decision-making system and the remote expert diagnosis system are respectively connected with the centralized control center; wherein the data acquisition device transmits acquired data to the centralized control center, and the centralized control center is respectively connected with the intelligent decision-making system, the remote expert diagnosis system and the driller room. According to the method, big data analysis decision is carried out by using real-time data, the high requirement of drilling operation on driller experience is reduced, and the drilling operation is smoother.

Description

Technical Field

[0001] The present invention relates to the field of automated drilling rig data collection, analysis and decision-making, and more specifically, to an automated drilling rig drilling data analysis system and a decision-making method. Background Art

[0002] With the development of science and technology, oil drilling rigs have made great progress in technology and capabilities. At present, the configuration of mechanical, composite, and DC-driven drilling rigs has been gradually reduced, and even the original mechanical and composite drilling rigs are undergoing electrification transformation. On the basis of electrification, automation has also become standard, but the configuration of automation tools and integrated control systems varies according to the actual needs and pain points of the well team.

[0003] The developing modern oil drilling rigs are mainly based on AC frequency conversion and automation integration. The operation and status data of the winch (or automatic drill), rotary table (or top drive), mud pump, solid control, power generation (or grid power), and automation tools are all integrated into the driller's room. Although these data are collected into the system, they are only real-time data (most of which are collected in seconds), and most of the data are not archived or saved. Even if these data are stored, there is no strategic classification and collection of data. For those slowly changing data, most of the collected data are homogeneous data or garbage data; and more sensitive data are collected in seconds, which cannot meet the characteristics of high-speed response and the requirements of spectrum analysis, and therefore cannot meet the requirements of subsequent big data analysis.

[0004] Most of the collected data is still just data, and is only presented to the driller for review. As one of the most important executors in the drilling process, the driller is responsible for having a deep understanding and control over the status of the drilling rig itself and the downhole conditions during the drilling process. In other words, the accumulation of experience is crucial for the driller. The experience of the driller determines the drilling speed, efficiency and quality to a certain extent. For new drillers or drillers who are not experienced enough, the emergency handling of drilling emergencies is undoubtedly too demanding. The training process of a new driller from just being assigned to the post to a mature driller takes at least 5 years or even longer, so the training of a driller requires a great deal of cost and time.

[0005] In the driller's room, data collected or received from various systems are displayed on the touch screen or industrial computer in the driller's room. The driller operates while observing the equipment status information, or when an alarm signal occurs, the touch screen or industrial computer turns to the alarm page to view the specific information of the current alarm, and then determines whether it needs to be processed immediately or can be processed later. This affects the actual drilling operation process and also causes operational troubles for the driller.

[0006] How to make the data from automated drilling rigs facilitate the driller's behavior, reduce the experience requirements for the driller, reduce the driller's labor intensity, and enjoy the feast brought by the data is an important issue facing us now. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention provides an automated drilling rig drilling data analysis system and decision-making method, which utilizes real-time data to perform big data analysis and decision-making, thereby reducing the high requirements for driller experience in drilling operations and making drilling operations smoother.

[0008] The technical solution adopted by the present invention to solve this technical problem is: an automated drilling rig drilling data analysis system, including: a data acquisition system, a processing and decision-making system and a driller's room;

[0009] The data acquisition system includes: an electric control system, an automation system, an instrument system, a sensor system and a data acquisition device; the data acquisition device is used to collect data from the electric control system, the automation system, the instrument system and the sensor system;

[0010] The processing and decision-making system includes: a centralized control center, an intelligent decision-making system and a remote expert diagnosis system; the intelligent decision-making system and the remote expert diagnosis system are respectively connected to the centralized control center;

[0011] Among them, the data acquisition device transmits the collected data to the centralized control center, which is connected to the intelligent decision-making system, remote expert diagnosis system, and driller's room respectively.

[0012] As a further solution of the present invention, the driller's room includes a data presentation and decision-making system, a driller operating system and a voice broadcasting system.

[0013] As a further solution of the present invention, the electric control system includes a drawworks / automatic drill bit, a rotary table / top drive, a mud pump body, a motor and a driver, and all or part of the information data in solid control, power generation / grid power, and power distribution, and the information data of the electric control system is collected through a data acquisition device.

[0014] As a further solution of the present invention, the automation system includes all or part of the information data of the ground pipe laying system, power catwalk / pipe string conveyor, iron roughneck, drill table manipulator, second-layer table manipulator, buffer manipulator, elevator, slip, power rathole, centering splash proof device, and thread oil application device, and the information data of the automation system is collected by the data acquisition device.

[0015] As a further solution of the present invention, the instrument system includes data including load, drilling pressure, rotary table / top drive speed, rotary table / top drive torque, traveling block height, hook speed, mud pump stroke, displacement, pressure, mud return, and combustible gas content, and the data of the instrument system is collected by a data acquisition device.

[0016] As a further solution of the present invention, the sensing system includes data of system air pressure, system hydraulic pressure, wind speed, tongs pressure, disc brake safety tongs / working tongs / system pressure, and auxiliary brake pressure, and the data of the sensing system is collected by a data acquisition device.

[0017] As a further solution of the present invention, the centralized control center summarizes, filters and reduces noise of the collected data, transmits the processed data to the intelligent decision-making system, and also transmits the decision information to the driller's room.

[0018] As a further solution of the present invention, the intelligent decision-making system includes a deep learning big model for drilling rig intelligent diagnosis. The deep learning big model for drilling rig intelligent diagnosis analyzes the data collected by the centralized control center, integrates the rule database information, and performs deep self-learning. At the same time, it continuously optimizes and iterates in practice to improve the model and enrich the rule library.

[0019] As a further solution of the present invention, the data presentation and decision-making system displays the decision conclusion to the driller's operating system for the driller's reference;

[0020] or,

[0021] The data presentation and decision system displays the decision conclusion to the driller operating system, and directly sends the decision information to the driller operating system through the bus, and the driller operating system directly executes the instructions of the intelligent decision system.

[0022] The present invention also provides a decision-making method based on the system, including: a processing method of collected data in a centralized control center, a decision-making method, and a voice broadcasting method;

[0023] The processing method specifically includes:

[0024] S001. The data acquisition device collects data from the electronic control system, automation system, instrumentation system, and sensor system;

[0025] S002, the data acquisition device performs regional differentiation on the acquired data, divides the slowly changing data into a low-frequency data group, and divides the rapidly changing data into a high-frequency data group;

[0026] S031. The data of the high-frequency data group and the low-frequency data group are stored in a source database;

[0027] S032. The driller room data presentation and decision-making system (host computer) displays the data of the source database in real time;

[0028] S041, filtering and noise reduction processing the data collected in S002;

[0029] S042, storing the data processed in S041 into a sampling database;

[0030] S043, output the data processed in S041 to the centralized control center;

[0031] The decision-making method specifically includes:

[0032] S101, the centralized control center receives data from the data acquisition system;

[0033] S102, the centralized control center transmits the data to the drilling rig intelligent diagnosis deep learning big model of the intelligent decision-making system;

[0034] S1021, searching in a rule database to find a suitable rule;

[0035] S1022. New rules generated in the large model are stored in a rule database;

[0036] S103. The generated decision information is divided into four categories: alarm shutdown category, setting adjustment category, operation adjustment category, and optimization suggestion category;

[0037] S104, the generated decision enters the centralized control center;

[0038] S105, transmitting the generated decision information to the driller operating system by means of communication through the centralized control center channel;

[0039] S106. The driller operating system sends the command to the electric control system and the automation system for execution.

[0040] The present invention has at least the following beneficial effects:

[0041] (1) Store data on demand to meet subsequent usage needs while reducing the amount of data stored;

[0042] (2) The decision results are output by the intelligent decision-making system after the data is processed. Minor problems are handled on site, and serious problems are handled on site after being confirmed by the remote expert diagnosis system;

[0043] (3) Voice broadcast of alarm information, decision information and precaution information, allowing the driller to directly identify the problem and deal with it quickly;

[0044] (4) Through strategic data storage, intelligent decision-making diagnosis and voice broadcasting, drillers can handle on-site problems more conveniently and quickly, and better serve drilling operations.

[0045] (5) This method produces the effect of strategic collection, intelligent decision-making and execution of automated drilling rig drilling data, providing a basis for subsequent unmanned drilling operations.

[0046] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A block diagram of the automated drilling rig drilling data analysis system provided by the present invention.

[0048] Figure 2 The present invention provides a process for collecting and presenting data.

[0049] Figure 3 The data-based decision-making method control process provided by the present invention.

[0050] Figure 4 The present invention provides a voice broadcast system control process.

[0051] Among them, A. Data acquisition system; B. Processing and decision-making system; C. Drilling room.

[0052] A-1, Automation system; A-2, Electronic control system; A-3, Instrument system; A-4, Sensor system; A-5, Data acquisition device.

[0053] B-1, centralized control center; B-2, intelligent decision-making system; B-3, remote expert diagnosis system.

[0054] C-1. Driller operating system; C-2. Data presentation and decision-making system; C-3. Voice broadcast system. DETAILED DESCRIPTION

[0055] The present invention is described in detail and completely below in conjunction with the accompanying drawings. A person of ordinary skill in the art will be able to implement the present invention based on these descriptions. Before describing the present invention in conjunction with the accompanying drawings, it should be particularly pointed out that the technical solutions and technical features provided in each part of the present invention, including the following description, can be combined with each other without conflict.

[0056] In addition, the embodiments of the present invention involved in the following description are generally only a part of the embodiments of the present invention, rather than all the embodiments. Therefore, based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0057] The present invention is further described in detail below in conjunction with the accompanying drawings and implementations, and its specific implementation process is as follows:

[0058] like Figure 1As shown, an automated drilling rig drilling data analysis system includes: a data acquisition system A, a processing and decision-making system B and a driller's room C, and these three parts are connected by a communication line;

[0059] The data acquisition system A includes: an electric control system A-2, an automation system A-1, an instrument system A-3, a sensor system A-4 and a data acquisition device A-5; in the data acquisition part, the automation system A-1, the electric control system A-2, the instrument system A-3 and the sensor system A-4 are respectively connected to the data acquisition device A-5, and the key information of the relevant equipment is sent to the data acquisition device A-5; the data acquisition device A-5 is used to collect data from the electric control system A-2, the automation system A-1, the instrument system A-3 and the sensor system A-4. Among them, the electric control system A-2 contains power generation, power distribution and transmission parts; the sensor system A-4 contains system oil pressure, air pressure, wind speed, vibration, temperature, etc.

[0060] The processing and decision-making system B includes: a centralized control center B-1, an intelligent decision-making system B-2 and a remote expert diagnosis system B-3; the centralized control center B-1 receives data from the data acquisition system, and the intelligent decision-making system B-2 and the remote expert diagnosis system B-3 are respectively connected to the centralized control center B-1. The centralized control center B-1 serves as a transmission center, and the centralized control center B-1 provides field data to the intelligent decision-making system B-2 and the remote expert diagnosis system B-3, and also accepts the decision and guidance information output by the intelligent decision-making system B-2 and the remote expert diagnosis system B-3.

[0061] Among them, the data acquisition device transmits the collected data to the centralized control center, which is connected to the intelligent decision-making system, remote expert diagnosis system, and driller's room respectively.

[0062] This technical solution may also include the following technical details to better achieve the technical effect: the driller's room C includes a data presentation and decision system (equivalent to a host computer) C-2, a driller operating system C-1, and a voice broadcast system C-3. In the driller's room, the data presentation and decision system C-2 receives status information and decision information from the centralized control center; the driller operating system C-1 and the voice broadcast C-3 are respectively connected to the data presentation and decision system C-2, and the data presentation and decision system C-2 is connected to the centralized control center.

[0063] The electric control system is connected to the data acquisition device through a bus (mainstream), and the electric control data is transmitted bidirectionally, which transmits the status signals of the power generation, distribution and transmission parts to the data acquisition device, and accepts the operation commands (including decision information) of the driller's operating system.

[0064] The data acquisition device is connected to the automation system through a bus (mainstream), and the automation data is transmitted bidirectionally, which not only transmits the status signal of the supporting automation tool to the data acquisition device, but also accepts the operation command (including decision information) of the driller's operating system.

[0065] The data acquisition device is connected to the instrument system, and the real-time drilling parameters are transmitted to the data acquisition device. In addition to being displayed in the driller's room, they are also used by the intelligent decision-making system.

[0066] The data acquisition device is connected to the intelligent decision-making system through the centralized control center, and the centralized control center transmits all the collected data to the intelligent decision-making system through communication.

[0067] In this embodiment, the whole system can be divided into a data acquisition system, a processing and decision-making system, and a driller's room. These three parts are connected by communication lines. In the data acquisition part, the automation system, the electric control system, the instrument system, and the sensor system are respectively connected to the data acquisition device to send key information of related equipment to the data acquisition device; in the processing and decision-making system, the centralized control center receives data from the data acquisition system, and the intelligent decision-making system and the remote expert diagnosis system are respectively connected to the centralized control center. The centralized control center provides them with on-site data and also accepts the decision and guidance information output by them; in the driller's room, the data presentation and decision-making system receives status information and decision information issued by the centralized control center; the driller operating system and voice broadcast are respectively connected to the driller operating system.

[0068] The present technical scheme may also include the following technical details to better achieve the technical effect: the electric control system includes winch / automatic drill feed, turntable / top drive, mud pump body, motor and driver, all or part of the information data in solid control, power generation / grid power, power distribution, etc. The information data of the electric control system is collected through the data acquisition device, and these parameters can be used as the basis for analyzing the status of several large pieces of equipment; at the same time, the electric control system also serves as the execution end of the main operating components of the drilling rig, and receives the operating information in the driller's room.

[0069] The present technical scheme may also include the following technical details to better achieve the technical effect: the automation system includes all or part of the information data of the ground pipe laying system, power catwalk / pipe string conveyor, iron driller, drill table manipulator, second-layer table manipulator, buffer manipulator, elevator, slip, power mouse hole, centering splash proof device, thread oil application device, etc. The information data of the automation system is collected by the data acquisition device, and these parameters can be used as the basis for analyzing the status of the automation equipment; at the same time, the automation system also serves as the execution end of the main operating component of the drilling rig pipe string processing, and receives the operation information in the driller's room.

[0070] The technical solution may also include the following technical details to better achieve the technical effect: the instrument system includes data such as load, drilling pressure, rotary table / top drive speed, rotary table / top drive torque, traveling block height, hook speed, mud pump stroke, displacement, pressure (riser pressure), mud return, combustible gas content, etc. The data of the instrument system is collected by a data acquisition device. According to these drilling process data, accidents such as drill sticking, drill jamming, overflow, leakage, combustible gas leakage, etc. can be strategically judged.

[0071] This technical solution may also include the following technical details to better achieve the technical effect: the sensing system includes data such as system air pressure, system hydraulic pressure, wind speed, lifting clamp pressure, disc brake safety clamp / working clamp / system pressure, auxiliary brake pressure, etc. The data of the sensing system is collected through a data acquisition device to assist the automation system, electronic control system and instrument system in completing the judgment of alarms, faults, etc.

[0072] This technical solution may also include the following technical details to better achieve the technical effect: the centralized control center is the collection place for all drilling data, and the collected data is summarized, filtered, and denoised, and the processed data is transmitted to the intelligent decision-making system, and the decision information is also transmitted to the driller's room. The centralized control center includes various communication channels (compatible with most common communication protocols), servers, and display terminals, which can complete the reception, storage, and presentation of all process data on site, and can also serve as a communication hub for various supporting equipment and tools.

[0073] This technical solution can also include the following technical details to better achieve the technical effect: the intelligent decision-making system includes a drilling rig intelligent diagnosis deep learning big model, which is a deep self-learning system. The drilling rig intelligent diagnosis deep learning big model analyzes the data collected by the centralized control center, integrates the rule database information, and performs deep self-learning. At the same time, it continuously optimizes and iterates in practice to improve the model and enrich the rule library.

[0074] The technical solution may also include the following technical details to better achieve the technical effect: the data presentation and decision-making system displays the decision conclusion to the driller operating system (personnel) for the driller's reference;

[0075] or,

[0076] The data presentation and decision system displays the decision conclusion to the driller operating system (personnel), and after mature application, directly sends the decision information to the driller operating system through the bus, and the driller operating system directly executes the instructions of the intelligent decision system.

[0077] In another embodiment, the present invention provides a decision-making method based on the system, including: a processing method of collected data in a centralized control center, a decision-making method, and a voice broadcasting method;

[0078] like Figure 2 As shown, the processing method specifically includes:

[0079] S001. The data acquisition device collects data from the electric control system, the automation system, the instrument system, and the sensor system, wherein the data from the electric control system, the automation system, the instrument system, and the sensor system are obtained through communication or sensor acquisition input;

[0080] S002, the data acquisition device performs regional differentiation on the acquired data, divides the slowly changing data into a low-frequency data group, and divides the rapidly changing data into a high-frequency data group;

[0081] S031. The data of the high-frequency data group and the low-frequency data group are stored in a source database;

[0082] S032. The driller room data presentation and decision-making system (host computer) displays the data of the source database in real time;

[0083] S041, filtering and noise reduction processing the data collected in S002;

[0084] S042, storing the data processed in S041 into a sampling database;

[0085] S043, output the data processed in S041 to the centralized control center;

[0086] like Figure 3 As shown, the decision-making method specifically includes:

[0087] S101, the centralized control center receives data from the data acquisition system (automation data, electronic control data, instrument data, sensor data);

[0088] S102, the centralized control center transmits the data to the drilling rig intelligent diagnosis deep learning big model of the intelligent decision-making system;

[0089] S1021, searching in a rule database to find a suitable rule;

[0090] S1022. New rules generated in the large model are stored in a rule database;

[0091] S103. The generated decision information is divided into four categories: alarm shutdown category, setting adjustment category, operation adjustment category, and optimization suggestion category;

[0092] S104, the generated decision enters the centralized control center;

[0093] S1041. When the decision information generated is higher than the set level, the generated decision is transmitted to the remote expert diagnosis system, and the decision information is verified or corrected in combination with the expert remote auxiliary diagnosis;

[0094] S105, transmitting the generated decision information to the driller operating system by means of communication through the centralized control center channel;

[0095] S106. The driller operating system sends the command to the electric control system and the automation system for execution.

[0096] like Figure 4 As shown, the voice broadcast method specifically includes:

[0097] S201, collecting data sources from the centralized control center;

[0098] S202. Three methods of generating alarms:

[0099] S2021, threshold determination;

[0100] S2022, logical reasoning;

[0101] S2023, Intelligent Decision-making;

[0102] S203, alarm information summary;

[0103] S2041, searching for an address from an alarm explanation database according to the current alarm;

[0104] S2042, presenting alarm information in the host computer;

[0105] S2051, searching for addresses from the alarm information database and the voice information database according to the current alarm;

[0106] S2052, searching for an address from a voice information database according to operation precautions;

[0107] S206, voice broadcast in the driller's room.

[0108] This system summarizes, filters, and reduces noise in real-time drilling data, and transmits the processed data to the intelligent decision-making system. It also transmits the decision information to the driller's room, forming a database based on real-time data and historical data, which is stored in the server of the centralized control center or transmitted to the cloud server. The centralized control center displays the real-time data locally and transmits it to the driller's room for real-time presentation, and transmits the processed clean data to the intelligent decision-making system for analysis, judgment, and decision-making. The generated decision information is directly transmitted to the driller control system according to its importance, or is transmitted to the driller control system after being determined by the remote expert diagnosis system, and voice broadcast is performed, so that the driller operator can operate according to the operation prompts and precautions, and perform troubleshooting or fault handling according to the decision information prompts, thereby reducing the requirements for the richness of the driller's experience in the driller's position and reducing the labor intensity of the driller operator. The entire system ensures the safety, control, and operation requirements of drilling operations, making drilling operations smoother, and providing a research basis for unmanned drilling operations in the later stage.

[0109] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes. They can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the embodiments shown and described herein.

Claims

1. An automated drilling rig drilling data analysis system, characterized in that: include: Data acquisition system, processing and decision-making system and driller's room; The data acquisition system includes: an electric control system, an automation system, an instrument system, a sensor system and a data acquisition device; the data acquisition device is used to collect data from the electric control system, the automation system, the instrument system and the sensor system; The processing and decision-making system includes: a centralized control center, an intelligent decision-making system and a remote expert diagnosis system; the intelligent decision-making system and the remote expert diagnosis system are respectively connected to the centralized control center; Among them, the data acquisition device transmits the collected data to the centralized control center, which is connected to the intelligent decision-making system, remote expert diagnosis system, and driller's room respectively.

2. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The driller's room includes a data presentation and decision-making system, a driller operating system and a voice broadcast system.

3. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The electric control system includes winch / automatic drill bit, rotary table / top drive, mud pump body, motor and driver, all or part of the information data in solid control, power generation / grid power and power distribution, and the information data of the electric control system is collected through the data acquisition device.

4. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The automation system includes all or part of the information data of the ground pipe laying system, power catwalk / pipe string conveyor, iron roughneck, drill table manipulator, second-layer table manipulator, buffer manipulator, elevator, slip, power mouse hole, centering splash prevention device, and thread oil application device, and the information data of the automation system is collected through the data acquisition device.

5. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The instrument system includes data including load, drilling pressure, rotary table / top drive speed, rotary table / top drive torque, traveling block height, hook speed, mud pump stroke, displacement, pressure, mud return, and combustible gas content. The data of the instrument system is collected through a data acquisition device.

6. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The sensor system includes data of system air pressure, system hydraulic pressure, wind speed, tongs pressure, disc brake safety tongs / working tongs / system pressure, and auxiliary brake pressure. The data of the sensor system is collected by a data acquisition device.

7. The automated drilling rig drilling data analysis system according to claim 1, characterized in that: The centralized control center summarizes, filters, and reduces noise on the collected data, and transmits the processed data to the intelligent decision-making system, and also transmits the decision information to the driller's room.

8. The automated drilling rig drilling data analysis system according to claim 7, characterized in that: The intelligent decision-making system includes a large deep learning model for drilling rig intelligent diagnosis. The large deep learning model for drilling rig intelligent diagnosis analyzes the data collected by the centralized control center, integrates the rule database information, and conducts deep self-learning. At the same time, it continuously optimizes and iterates in practice to improve the model and enrich the rule library.

9. The automated drilling rig drilling data analysis system according to claim 2, characterized in that: The data presentation and decision-making system displays the decision conclusion to the driller operating system for the driller's reference; or, The data presentation and decision system displays the decision conclusion to the driller operating system, and directly sends the decision information to the driller operating system through the bus, and the driller operating system directly executes the instructions of the intelligent decision system.

10. A decision-making method based on the system according to any one of claims 2 to 9, characterized in that: include: The processing method, decision-making method, and voice broadcast method of collected data in the centralized control center; The processing method specifically includes: S001. The data acquisition device collects data from the electronic control system, automation system, instrumentation system, and sensor system; S002, the data acquisition device performs regional differentiation on the acquired data, divides the slowly changing data into a low-frequency data group, and divides the rapidly changing data into a high-frequency data group; S031. The data of the high-frequency data group and the low-frequency data group are stored in a source database; S032. The driller room data presentation and decision-making system (host computer) displays the data of the source database in real time; S041, filtering and noise reduction processing the data collected in S002; S042, storing the data processed in S041 into a sampling database; S043, output the data processed in S041 to the centralized control center; The decision-making method specifically includes: S101, the centralized control center receives data from the data acquisition system; S102, the centralized control center transmits the data to the drilling rig intelligent diagnosis deep learning big model of the intelligent decision-making system; S1021, searching in a rule database to find a suitable rule; S1022. New rules generated in the large model are stored in a rule database; S103. The generated decision information is divided into four categories: alarm shutdown category, setting adjustment category, operation adjustment category, and optimization suggestion category; S104, the generated decision enters the centralized control center; S105, transmitting the generated decision information to the driller operating system by means of communication through the centralized control center channel; S106. The driller operating system sends the command to the electric control system and the automation system for execution.

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