Intelligent coiled tubing equipment and control method thereof

Abstract

The invention relates to the technical field of oil well equipment, and provides intelligent continuous oil pipe equipment and a control method thereof.The method comprises the following steps that the actual flow of a high-pressure manifold on a roller pry is obtained; when it is determined that the deviation between the actual flow and the preset flow is within the preset range, the output displacement of the pump truck cluster is adjusted, and the actual flow is equal to the preset flow; and when it is determined that the deviation between the actual flow and the preset flow exceeds a preset range, triggering an exception handling mechanism to perform fault handling. Through the arrangement, the consistency of the pump truck displacement and the actual displacement can be effectively ensured, the operation safety risk is reduced, and the construction efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil well equipment, and in particular to an intelligent coiled tubing device and a control method thereof. Background Art

[0002] As an efficient and flexible tool for oil and gas field operations, coiled tubing units are widely used in well repair, drilling, completion, fracturing, logging, and marine resource development. By replacing traditional steel drill pipe with a continuous metal hose, they enable pressure-carrying operations, rapid tubing tripping, and handling complex well conditions, significantly improving operational efficiency and reducing risks.

[0003] Pump trucks are the core of the high-pressure fluid power system in coiled tubing operations. They are used to provide high-pressure, high-precision fluid delivery to support complex operations such as fracturing and acidizing. Generally speaking, the displacement of a pump truck often represents the actual displacement of the high-pressure fluid in coiled tubing operations.

[0004] However, in actual operation, it was found that due to the influence of various complex factors such as the limitations of sensor accuracy and measurement methods, independent control of the system and data islands, and insufficient adaptability to dynamic working conditions, there would be a deviation between the actual displacement of the high-pressure fluid and the preset displacement, resulting in increased safety risks in the operation. In addition, frequent manual adjustment of parameters is required, affecting construction efficiency.

[0005] Therefore, how to ensure the consistency between the displacement of the pump truck and the displacement of the drum flow meter, thereby reducing operational safety risks and ensuring construction efficiency, has become an important issue that needs to be solved urgently. Summary of the Invention

[0006] The present invention provides an intelligent coiled tubing device and a control method thereof, which are used to solve the defects of the prior art in which the actual displacement of high-pressure fluid deviates from the preset displacement, resulting in increased operational safety risks and affecting construction efficiency. The device can effectively ensure the consistency between the displacement of the pump truck and the actual displacement, reduce operational safety risks, and improve construction efficiency.

[0007] The present invention provides a control method for an intelligent coiled tubing device, comprising the following steps: Get the actual flow of the high-pressure manifold on the roller skid; When it is determined that the deviation between the actual flow rate and the preset flow rate is within a preset range, adjusting the output displacement of the pump truck cluster so that the actual flow rate is equal to the preset flow rate; When it is determined that the deviation between the actual flow rate and the preset flow rate exceeds the preset range, an exception handling mechanism is triggered to perform fault handling.

[0008] According to a control method for an intelligent coiled tubing device provided by the present invention, triggering an exception handling mechanism to perform fault handling includes: Pre-store multiple fault types and their corresponding solutions; According to the set priority, the solutions corresponding to the different fault types are called in sequence until multiple solutions are called or the deviation between the actual flow and the preset flow is restored to the preset range.

[0009] According to a control method for an intelligent coiled tubing device provided by the present invention, the fault types include: network interruption; The solution to the network interruption is to call the local cache data.

[0010] According to a control method for an intelligent coiled tubing device provided by the present invention, the fault types include: sensor failure; The solution to the sensor failure is: digital twin simulation.

[0011] According to the present invention, a control method for an intelligent coiled tubing device, after the plurality of solutions are called, further includes: Freeze instructions, send alerts, and trigger manual confirmation processes.

[0012] According to a control method for an intelligent coiled tubing device provided by the present invention, the calling priority of the fault type is determined based on the historical fault occurrence frequency.

[0013] According to a control method for an intelligent coiled tubing device provided by the present invention, the calling priority setting of the fault type includes: Sort the fault types according to their historical occurrence frequencies and generate a priority list; After the fault processing is completed, the historical occurrence frequency of the fault type is updated according to the processing result, and the priority list is regenerated.

[0014] The present invention also provides a control device for an intelligent coiled tubing device, comprising: Acquisition module, suitable for obtaining the actual flow of the roller skid in real time; The determination module is adapted to adjust the output displacement of the pump truck cluster so that the actual flow is equal to the preset flow when it is determined that the deviation between the actual flow and the preset flow is within a preset range; and to trigger an exception handling mechanism to perform fault handling when it is determined that the deviation between the actual flow and the preset flow exceeds the preset range.

[0015] The present invention also provides an intelligent coiled tubing device, comprising a wellsite equipment layer, a communication module, and the above-mentioned control device communicatively connected to the wellsite equipment layer via the communication module; The well site equipment layer includes a roller skid, a pump truck cluster and a data acquisition module. The data acquisition module is suitable for collecting operating parameters of the well site equipment layer, and the operating parameters include the actual flow of the high-pressure manifold on the roller skid.

[0016] According to the intelligent coiled tubing equipment provided by the present invention, the roller skid comprises a base, a roller body and the high-pressure manifold; The data acquisition module includes a flow meter, which is located inside the drum body and connected to the middle of the high-pressure manifold.

[0017] According to an intelligent coiled tubing device provided by the present invention, the roller skid further includes a lubricating oil module, and the data acquisition module further includes an angle sensor: The angle sensor is used to collect the rotation angle of the drum body, and the control device controls the lubricating oil module to spray lubricating oil into the oil pipe based on the rotation angle of the drum body.

[0018] According to the intelligent coiled tubing equipment provided by the present invention, the angle sensor includes an electric slip ring.

[0019] According to an intelligent coiled tubing device provided by the present invention, a fixed ring fixing plate is fixedly connected to the base, a dynamic ring fixing plate is fixedly connected to the drum body, the outer ring of the electric slip ring is connected to the fixed ring fixing plate, and the inner ring is connected to the dynamic ring fixing plate.

[0020] According to the intelligent coiled tubing equipment provided by the present invention, the data acquisition module further includes a tubing length monitor; The oil pipe length monitor includes a light sensor and a reflective plate; one of the light sensor and the reflective plate can rotate synchronously with the drum body, and the light sensor measures the retracted and extended length of the oil pipe by monitoring the relative rotation angle of the reflective plate.

[0021] According to the intelligent coiled tubing equipment provided by the present invention, the light sensor is connected to the flow meter.

[0022] The present invention also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, any of the above-mentioned control methods for intelligent coiled tubing equipment is implemented.

[0023] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the above-mentioned control methods for the intelligent coiled tubing equipment.

[0024] The present invention also provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, it implements any of the above-mentioned control methods for the intelligent coiled tubing equipment.

[0025] The intelligent continuous tubing equipment and control method provided by the present invention, when the deviation value does not exceed the preset range, when the actual flow rate is greater than the preset flow rate, reduces the displacement of the pump truck cluster to reduce the actual flow rate; when the actual flow rate is equal to the preset flow rate, maintains the current displacement of the pump truck cluster; when the actual flow rate is less than the preset flow rate, increases the displacement of the pump truck cluster to increase the actual flow rate. When the deviation between the actual flow rate and the preset flow rate exceeds the preset range, it indicates that this deviation is likely caused by a fault. It is obvious that simply adjusting the output flow rate of the pump truck cluster is no longer able to solve the problem. At this time, the exception handling mechanism is triggered to handle the fault. In this way, the consistency between the pump truck displacement and the actual displacement can be effectively ensured, reducing operational safety risks and improving construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 It is a flow chart of the intelligent coiled tubing equipment control method provided by an embodiment of the present invention.

[0028] Figure 2 This is a control logic diagram of the intelligent coiled tubing equipment control method provided by an embodiment of the present invention.

[0029] Figure 3 Schematic diagram of the structure of the intelligent coiled tubing equipment provided by an embodiment of the present invention.

[0030] Figure 4 This is one of the structural schematic diagrams of the roller skid provided in an embodiment of the present invention.

[0031] Figure 5 It is a structural schematic diagram of the cooperation between the angle sensor and the roller pry provided by an embodiment of the present invention.

[0032] Figure 6 This is the second structural schematic diagram of the roller skid provided in an embodiment of the present invention.

[0033] Figure 7 It is a schematic diagram of the cooperation between the oil pipe length monitor and the roller skid provided in an embodiment of the present invention.

[0034] Figure 8Schematic diagram of a lubricating oil module provided in an embodiment of the present invention.

[0035] Figure 9 It is a schematic diagram of the cooperation between the flow meter and the high-pressure manifold provided in an embodiment of the present invention.

[0036] Figure 10 It is a structural schematic diagram of the electronic device provided by the present invention.

[0037] Reference numerals: 10. Wellsite equipment layer; 11. Drum skid; 110. Base; 111. Drum body; 112. High-pressure manifold; 113. Lubricating oil module; 114. Fixed ring fixing plate; 115. Moving ring fixing plate; 12. Pump truck cluster; 13. Angle sensor; 14. Light sensor; 15. Reflection plate; 16. Flow meter; 20. Communication module; 30. Control device; 40. Cloud-based monitoring platform; 50. Processor; 51. Communication interface; 52. Memory; 53. Communication bus. DETAILED DESCRIPTION

[0038] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0039] To better understand the intelligent coiled tubing equipment and its control method provided by the embodiments of the present invention, we first introduce its application background. The coiled tubing operation device is an operating machine widely used in the fields of well repair, drilling, completion, fracturing, logging, etc. The pump truck is the core of the high-pressure fluid power system in coiled tubing operations, used to provide high-pressure, high-precision fluid transportation to support complex operations such as fracturing and acidizing. Generally speaking, the displacement of the pump truck often represents the actual displacement of the high-pressure fluid in the coiled tubing operation. Therefore, the actual displacement is generally controlled by setting the displacement of the pump truck.

[0040] However, in actual applications, it is found that the actual displacement of high-pressure fluid is often affected by many complex factors such as sensor accuracy and measurement method limitations, system independent control and data silos, and insufficient adaptability to dynamic working conditions. This leads to deviations between the actual displacement and the preset displacement, that is, the displacement of the pump truck does not match the actual displacement measured by the flow meter on the drum. This increases the safety risk of the operation and requires frequent manual adjustment of parameters, which affects construction efficiency.

[0041] Therefore, how to ensure the consistency between the displacement of the pump truck and the displacement of the drum flow meter, thereby reducing operational safety risks and ensuring construction efficiency, has become an important issue that needs to be solved urgently.

[0042] In the above application context, an embodiment of the present invention provides an intelligent coiled tubing device and a control method thereof, which can ensure the consistency between the displacement of the pump truck and the actual displacement, reduce operation safety risks, and improve construction efficiency.

[0043] The following combination Figures 1-10 The intelligent coiled tubing equipment and control method thereof of the present invention are described.

[0044] Figure 1 FIG. 1 is a flow chart of a method for controlling an intelligent coiled tubing device according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps: Step S10: obtaining the actual flow rate of the high-pressure manifold 112 on the roller skid 11 in real time.

[0045] Specifically, the high-pressure manifold 112 is an important component used to connect the pump truck, the roller skid 11 and the wellhead in continuous tubing operations. Its main function is to control and guide the flow of high-pressure fluid to ensure the safety and efficiency of the operation. By installing a flow meter 16 and a pressure sensor on the high-pressure manifold 112, the fluid data can be monitored in real time and the actual flow rate of the high-pressure fluid can be measured.

[0046] Based on actual needs and different measurement principles, the flow meter 16 can also be selected into different types, for example, a volumetric flow meter, a differential pressure flow meter, a velocity flow meter, etc. The embodiment of the present invention does not impose specific restrictions on the type of the flow meter 16.

[0047] Specifically, the flow meter 16 can be installed at any position on the high-pressure manifold 112 where the flow rate can be monitored. In this embodiment, the flow meter 16 is located on the inner side of the roller body 111 of the roller skid 11 and is connected to the middle of the high-pressure manifold 112. The flow rate here is stable and the measurement value is more accurate (see Figure 8 and Figure 9 ). In addition, in order to improve the flow monitoring accuracy, more than one flow meter 16 can be used for redundant monitoring.

[0048] Step S20: When it is determined that the deviation between the actual flow rate and the preset flow rate is within the preset range, the output displacement of the pump truck cluster 12 is adjusted to make the actual flow rate equal to the preset flow rate.

[0049] Specifically, the preset flow rate is determined by comprehensively considering construction factors such as downhole operating conditions, operational objectives, and safety restrictions. Once the preset flow rate is determined, the pump truck cluster 12 is adjusted to the output displacement corresponding to the preset flow rate. After obtaining the actual flow rate, the actual flow rate is compared with the preset flow rate, and the deviation between the two is calculated. If the deviation is within the preset range, it indicates that the deviation is not caused by a fault. In this case, the output displacement of the pump truck cluster 12 is adjusted to make the actual flow rate equal to the preset flow rate.

[0050] The preset range value of the deviation between the preset flow and the actual flow needs to be determined by comprehensively considering factors such as engineering experience, equipment characteristics, and downhole working conditions, and gradually improved through dynamic adjustment and historical data optimization. Specifically, the flow response of the pump truck cluster 12 under different working conditions can be tested through a ground simulation loop to determine the rationality of the deviation value range.

[0051] As a specific embodiment of the present invention, the preset range of the deviation value between the actual flow rate and the preset flow rate is ±5%.

[0052] Specifically, when the deviation value does not exceed the preset range, when the actual flow rate is greater than the preset flow rate, the displacement of the pump truck cluster 12 is reduced to reduce the actual flow rate; when the actual flow rate is equal to the preset flow rate, the current displacement of the pump truck cluster 12 is maintained; when the actual flow rate is less than the preset flow rate, the displacement of the pump truck cluster 12 is increased to increase the actual flow rate.

[0053] Specifically, the actual flow rate of high-pressure fluid can be dynamically adjusted based on the PID (proportional-integral-differential controller) closed-loop control algorithm. By monitoring the deviation between the actual flow rate and the set flow rate in real time, the actual flow rate can be dynamically adjusted using a combination of three parameters: proportional (P), integral (I) and differential (D). This ensures that the actual flow rate is equal to the preset flow rate or is maintained near the preset flow rate, ensuring that the deviation is minimized to achieve precise control.

[0054] Step S30: When it is determined that the deviation between the actual flow rate and the preset flow rate exceeds the preset range, the abnormality handling mechanism is triggered to perform fault handling.

[0055] Specifically, when the deviation between the actual flow rate and the preset flow rate exceeds the preset range, it indicates that the deviation is likely caused by a fault, and the problem cannot be solved by simply adjusting the output flow rate of the pump truck cluster 12. At this time, the exception handling mechanism is triggered to handle the fault.

[0056] In one embodiment of the present invention, step S30 includes: Step S300: Pre-store multiple fault types and their corresponding solutions.

[0057] Step S310: According to the set priorities, solutions corresponding to different fault types are called in sequence until multiple solutions are called or the deviation between the actual flow rate and the preset flow rate returns to the preset range.

[0058] Specifically, when the deviation between the actual flow rate and the preset flow rate exceeds the preset range, it is determined to be a fault. At this time, the pre-stored solutions corresponding to different fault types are called in sequence according to the set priority. If the deviation between the actual flow rate and the preset flow rate returns to the preset range after calling a solution, the fault is now eliminated, the solution call is stopped, and normal operation is resumed. If the fault is still not resolved after all solutions have been called, it means that the current fault type and its corresponding solution have not been pre-stored. In this case, the instruction is frozen and the manual confirmation process is triggered for manual processing.

[0059] With this arrangement, when a fault occurs, if the corresponding fault type and solution have been pre-stored, the fault can be quickly resolved. If the corresponding fault type and solution have not been pre-stored, it will also be convenient for staff to quickly check the fault type and quickly find a suitable solution.

[0060] In a specific embodiment of the present invention, the fault type includes network interruption; and the solution corresponding to the network interruption fault is: calling local cache data.

[0061] Specifically, under normal network conditions, the system will store data in the local cache and the cloud monitoring platform 40 at the same time. When the network is interrupted, the system cannot establish communication with the cloud monitoring platform 40. At this time, the local cache data of the instrument vehicle is called to maintain basic control.

[0062] In a specific embodiment of the present invention, the fault type includes sensor failure; the solution corresponding to the sensor failure is: digital twin simulation.

[0063] Specifically, digital twin simulation builds a virtual model that is highly consistent with the physical system, generating replacement data in the event of sensor failure to ensure continuous system operation. Its core relies on high-fidelity digital models, real-time data synchronization, and intelligent algorithm analysis. The specific principles of digital twin simulation can be referenced in existing technologies and will not be elaborated in detail in the present embodiments.

[0064] In one embodiment of the present invention, in step S301, the priority of each fault type is determined based on the historical frequency of the fault. This adaptive prioritization mechanism based on historical fault frequency can quickly locate high-frequency or high-impact faults, prioritize resource allocation, and significantly shorten mean time to recovery.

[0065] Specifically, the call priority setting of the fault type includes the following steps: Arrangement S301: Sort the fault types according to their historical occurrence frequencies and generate a priority list.

[0066] Step S302: After the fault processing is completed, the historical occurrence frequency of the fault type is updated according to the processing result, and the priority list is regenerated.

[0067] With this setup, through closed-loop feedback—that is, updating and reordering frequency data after fault processing—the system can dynamically adapt to changes in fault patterns, such as the emergence of new faults or frequency fluctuations, continuously optimize resource allocation strategies, reduce redundant processing and manual intervention, and ultimately improve operation and maintenance efficiency, reduce the risk of system interruption, and enhance the intelligence and reliability of fault management.

[0068] In another aspect, an embodiment of the present invention further provides a control device for an intelligent coiled tubing device, comprising: An acquisition module, adapted to acquire the actual flow of the roller skid 11 in real time; The determination module is suitable for adjusting the output displacement of the pump truck cluster 12 so that the actual flow is equal to the preset flow when the deviation between the actual flow and the preset flow is within the preset range; when it is determined that the deviation between the actual flow and the preset flow exceeds the preset range, triggering the exception handling mechanism to handle the fault.

[0069] In one embodiment of the present invention, the control device 30 also includes a storage module and a calling module; wherein the storage module is suitable for pre-storing multiple fault types and their corresponding solutions; the calling module is suitable for calling solutions corresponding to different fault types in sequence according to the set priority until multiple solutions are called or the deviation between the actual flow and the preset flow is restored to the preset range.

[0070] In one embodiment of the present invention, the control device 30 further includes a generation unit, which generates a freeze instruction, sends an alarm, and triggers a manual confirmation process if the fault has not been eliminated after multiple solutions are called.

[0071] In one embodiment of the present invention, the control device 30 also includes a sorting module and an updating module; wherein the sorting module is adapted to sort the fault types according to the historical occurrence frequencies of different fault types and generate a priority list; and the updating module is adapted to update the historical occurrence frequencies of the fault types according to the processing results after the fault processing is completed and regenerate the priority list.

[0072] On the other hand, referring to Figures 3 to 9 An embodiment of the present invention further provides an intelligent coiled tubing device, comprising a wellsite equipment layer 10, a communication module 20, and a control device 30 provided by any of the above embodiments, which is communicatively connected to the wellsite equipment layer 10 via the communication module 20.

[0073] The wellsite equipment layer 10 includes a roller skid 11, a pump truck cluster 12, and a data acquisition module. The data acquisition module is adapted to collect operating parameters of the wellsite equipment layer 10, including the actual flow rate of the high-pressure manifold 112 on the roller skid 11. The control device 30 is adapted to obtain the actual flow rate and, if the deviation between the actual flow rate and the preset flow rate is within a preset range, adjust the output displacement of the pump truck cluster 12 to equalize the actual flow rate to the preset flow rate. If the deviation between the actual flow rate and the preset flow rate is determined to exceed the preset range, trigger an exception handling mechanism to handle the fault.

[0074] In one embodiment of the present invention, the roller skid 11 comprises a base 110, a roller body 111, and a high-pressure manifold 112. The roller body 111 is rotatably supported on the base 110. Specifically, the roller body 111 and the base 110 can be connected using a shaft seat. The high-pressure manifold 112 is connected to the oil pipe inlet on the roller body 111 via a rotary joint. The data acquisition module includes a flowmeter 16, which is located inside the roller body 111 and connected to the center of the high-pressure manifold 112. This location provides stable flow and effectively improves monitoring accuracy.

[0075] Depending on the measurement principle, the flow meter 16 may also be a volumetric flow meter, a differential pressure flow meter, a velocity flow meter, etc. The embodiment of the present invention does not impose any specific restrictions on the type of the flow meter 16.

[0076] In one embodiment of the present invention, the roller skid 11 also includes a lubricating oil module 113, and the data acquisition module also includes an angle sensor 13: the angle sensor 13 is used to collect the rotation angle of the roller body 111, and the control device 30 controls the lubricating oil module 113 to spray lubricating oil into the oil pipe based on the rotation angle of the roller body 111.

[0077] Specifically, when the angle sensor 13 detects that the rotation angle of the drum body 111 reaches a set value, the lubricating oil module 113 is controlled to spray lubricating oil into the oil pipe.

[0078] Specifically, the angle sensor 13 includes an electric slip ring, a fixed ring fixing plate 114 is connected to the base 110, and a dynamic ring fixing plate 115 is connected to the roller body 111. The outer ring of the electric slip ring is connected to the fixed ring fixing plate 114, and the inner ring is connected to the dynamic ring fixing plate 115. In this way, the rotation angle of the roller body 111 is monitored.

[0079] In one embodiment of the present invention, the data acquisition module further includes an oil pipe length monitor, and the oil pipe length monitor is used to monitor the retracted and extended length of the oil pipe.

[0080] Specifically, the oil pipe length monitor includes a light sensor 14 and a reflector 15 ; one of the light sensor 14 and the reflector 15 can rotate synchronously with the drum body 111 , and the light sensor 14 measures the retracted and extended length of the oil pipe by monitoring the relative rotation angle of the reflector 15 .

[0081] Specifically, the reflector 15 is connected to the inner side of the shaft seat and can be synchronized with the drum body 111, and the light sensor 14 is connected to the flow meter 16. The light sensor 14 records the rotation angle and number of revolutions of the drum body 111, and with the algorithm, it can accurately count the length of the oil pipe lowered.

[0082] It should be pointed out here that the above description of the structure of the roller skid 11 is only a brief description, the purpose of which is to enable a more intuitive understanding of the connection positions of the various sensors in the data monitoring module on the roller skid 11. Of course, in order to realize its own functions, the roller skid 11 also includes other structures or components. For the working principle of the roller skid 11, more specific structure, and the coordination relationship between structures, reference can be made to the existing technology. Since it is not the main improvement point of the present invention, it will not be described in detail in the embodiments of the present invention.

[0083] In one embodiment of the present invention, communication module 20 can utilize a wireless network for communication. Specifically, a 5G private network base station and mesh nodes form the network infrastructure layer. The 5G private network base station provides a low-latency (<20ms) communication channel for real-time command transmission between the control device 30 and the wellsite equipment layer 10. The mesh nodes serve as a redundant network, automatically switching when the 5G signal is interfered with to ensure control link stability.

[0084] It is understood that those skilled in the art may combine and integrate different embodiments or examples and features of different embodiments or examples described in this specification without mutual contradiction.

[0085] Through the intelligent continuous tubing equipment and control method provided by the embodiments of the present invention, when the deviation value does not exceed the preset range, when the actual flow rate is greater than the preset flow rate, the displacement of the pump truck cluster 12 is reduced to reduce the actual flow rate. When the actual flow rate is equal to the preset flow rate, the current displacement of the pump truck cluster 12 is maintained. When the actual flow rate is less than the preset flow rate, the displacement of the pump truck cluster 12 is increased to increase the actual flow rate. When the deviation between the actual flow rate and the preset flow rate exceeds the preset range, it indicates that this deviation is likely caused by a fault. Obviously, the problem cannot be solved by simply adjusting the output flow rate of the pump truck cluster 12. At this time, the exception handling mechanism is triggered to handle the fault. In this way, the consistency between the pump truck displacement and the actual displacement can be effectively ensured, the operational safety risk can be reduced, and the construction efficiency can be improved.

[0086] In another aspect, the present invention further provides an electronic device, Figure 10An example of a physical structure diagram of an electronic device is shown below. Figure 10 As shown, the electronic device may include: a processor 50, a communications interface 51, a memory 52, and a communications bus 53. The processor 50, the communications interface 51, and the memory 52 communicate with each other via the communications bus 53. The processor 50 may invoke logic instructions in the memory 52 to execute a control method for the intelligent coiled tubing device. The method includes: obtaining the actual flow rate of the high-pressure manifold 112 on the roller skid 11; when it is determined that the deviation between the actual flow rate and the preset flow rate is within a preset range, adjusting the output displacement of the pump truck cluster 12 to equalize the actual flow rate to the preset flow rate; and when it is determined that the deviation between the actual flow rate and the preset flow rate exceeds the preset range, triggering an exception handling mechanism to perform fault processing.

[0087] Furthermore, the logic instructions in the aforementioned memory 52 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memory 52 (ROM), random access memory 53 (RAM), magnetic disks, or optical disks.

[0088] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by the processor 50, the computer can execute the control method of the intelligent continuous oil pipe equipment provided by the above methods, which includes: obtaining the actual flow of the high-pressure manifold 112 on the roller skid 11; when it is determined that the deviation between the actual flow and the preset flow is within a preset range, adjusting the output displacement of the pump truck cluster 12 so that the actual flow is equal to the preset flow; when it is determined that the deviation between the actual flow and the preset flow exceeds the preset range, triggering the exception handling mechanism to perform fault handling.

[0089] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by the processor 50, it is implemented to execute the control method of the intelligent continuous oil pipe equipment provided by the above-mentioned methods, the method including: obtaining the actual flow of the high-pressure manifold 112 on the roller skid 11; when it is determined that the deviation between the actual flow and the preset flow is within a preset range, adjusting the output displacement of the pump truck cluster 12 so that the actual flow is equal to the preset flow; when it is determined that the deviation between the actual flow and the preset flow exceeds the preset range, triggering the exception handling mechanism to perform fault handling.

[0090] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0091] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A control method for an intelligent coiled tubing device, characterized in that: The following steps are involved: Get the actual flow of the high-pressure manifold on the roller skid; When it is determined that the deviation between the actual flow rate and the preset flow rate is within a preset range, the output displacement of the pump truck cluster is adjusted so that the actual flow rate is equal to the preset flow rate; When it is determined that the deviation between the actual flow rate and the preset flow rate exceeds the preset range, an exception handling mechanism is triggered to perform fault handling.

2. The control method of the intelligent coiled tubing equipment according to claim 1, characterized in that: The triggering of the exception handling mechanism to perform fault handling includes: Pre-store multiple fault types and their corresponding solutions; According to the set priority, the solutions corresponding to the different fault types are called in sequence until multiple solutions are called or the deviation between the actual flow and the preset flow is restored to the preset range.

3. The control method of the intelligent coiled tubing equipment according to claim 2, characterized in that: The fault type includes: network interruption; the solution corresponding to the network interruption is: calling local cache data; and / or, The fault type includes: sensor fault; the solution corresponding to the sensor fault is: digital twin simulation.

4. The control method of the intelligent coiled tubing equipment according to claim 2, characterized in that: After the multiple solutions are called, the method further includes: Freeze instructions, send alerts, and trigger manual confirmation processes.

5. The control method of the intelligent coiled tubing equipment according to any one of claims 2 to 4, characterized in that: The calling priority of the fault type is determined based on the historical fault occurrence frequency; The call priority setting of the fault type includes the following steps: Sort the fault types according to their historical occurrence frequencies and generate a priority list; After the fault processing is completed, the historical occurrence frequency of the fault type is updated according to the processing result, and the priority list is regenerated.

6. A control device for an intelligent coiled tubing device, characterized in that: include: Acquisition module, suitable for obtaining the actual flow of the roller skid in real time; a determination module adapted to adjust the output displacement of the pump truck cluster so that the actual flow rate is equal to the preset flow rate when determining that the deviation between the actual flow rate and the preset flow rate is within a preset range; When it is determined that the deviation between the actual flow rate and the preset flow rate exceeds the preset range, an exception handling mechanism is triggered to perform fault handling.

7. An intelligent coiled tubing device, characterized in that: comprising a wellsite equipment layer, a communication module, and a control device according to claim 6, which is communicatively connected to the wellsite equipment layer via the communication module; The well site equipment layer includes a roller skid, a pump truck cluster and a data acquisition module. The data acquisition module is suitable for collecting operating parameters of the well site equipment layer, and the operating parameters include the actual flow of the high-pressure manifold on the roller skid.

8. The intelligent coiled tubing equipment according to claim 7, characterized in that: The roller skid comprises a base, a roller body and the high-pressure manifold; The data acquisition module includes a flow meter, which is located inside the drum body and connected to the middle of the high-pressure manifold.

9. The intelligent coiled tubing equipment according to claim 8, characterized in that: The roller skid also includes a lubricating oil module, and the data acquisition module also includes an angle sensor: The angle sensor is used to collect the rotation angle of the drum body, and the control device controls the lubricating oil module to spray lubricating oil into the oil pipe based on the rotation angle of the drum body.

10. The intelligent coiled tubing equipment according to claim 9, characterized in that: The data acquisition module also includes an oil pipe length monitor; The oil pipe length monitor includes a light sensor and a reflective plate; one of the light sensor and the reflective plate can rotate synchronously with the drum body, and the light sensor measures the retracted and extended length of the oil pipe by monitoring the relative rotation angle of the reflective plate.

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