Control method, device, storage medium and processor of well killing manifold

Abstract

This application discloses a control method, device, storage medium, and processor for a well-killing manifold. The method includes: if downhole overflow is detected, collecting first data from the well-killing manifold via a detection feedback module; analyzing the first data from the well-killing manifold via an adaptive control module to obtain an analysis result; and triggering an execution instruction based on the analysis result via an execution module to adjust the throttle valve opening and pump speed of the well-killing manifold. This application addresses the problem in related technologies of being unable to intelligently adjust downhole overflow, complicating downhole conditions and impacting well control risks.

Description

Technical Field

[0001] The present application relates to the field of well control technology, and in particular to a control method, device, storage medium, and processor for a well-killing manifold. Background Art

[0002] Well control technology is an indispensable part of the oil drilling and development process. With the development of my country's petroleum science and technology and the upgrading of people's safety awareness in recent years, effective control will be carried out on potential blowout risks when carrying out oil field mining and development and other related work.

[0003] Existing technologies are still subject to interference from external factors and some human factors, making them unable to perform well control operations in a timely, accurate, or efficient manner. Specifically, field personnel are unable to effectively and promptly handle overflows, and may even make operational errors. They lack the necessary preparation and training before actual work, and their awareness of control and remediation efforts is relatively low, increasing the rate of well-killing failures. Furthermore, technicians are insensitive to fluctuations in bottomhole pressure and are unable to intelligently adjust overflows in the early stages, complicating the downhole situation.

[0004] Currently, no effective solution has been proposed to the problem that in related technologies, intelligent adjustment cannot be performed when overflow occurs underground, which complicates the underground situation and affects the well control risk. Summary of the Invention

[0005] The main purpose of this application is to provide a control method, device, storage medium and processor for a well-killing manifold to solve the problem in related technologies that intelligent adjustment cannot be performed when overflow occurs underground, which complicates the underground situation and affects the well control risk.

[0006] To achieve the above objectives, according to one aspect of the present application, a method for controlling a well-killing manifold is provided. The method comprises: if overflow is detected downhole, collecting first data information from the well-killing manifold via a detection feedback module; analyzing the first data information from the well-killing manifold via an adaptive control module to obtain an analysis result; and triggering an execution instruction via an execution module based on the analysis result to adjust the throttle valve opening and pump speed of the well-killing manifold via the execution instruction.

[0007] Furthermore, the first data information of the well-killing manifold is analyzed by the adaptive control module, and the analysis results obtained include: determining the lag time according to the first data information by the learning module, wherein the first data information includes: casing pressure, riser pressure, and pump speed; and performing adaptive control analysis according to the lag time by the adaptive control module to obtain the analysis results.

[0008] Furthermore, after triggering the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, the method also includes: updating the lag time in real time according to the throttle valve opening and pump speed of the well-killing manifold through the learning module.

[0009] Furthermore, determining the lag time according to the first data information through the learning module also includes: obtaining historical data information of the well-killing manifold; analyzing the historical data information to determine an empirical value of the delay time; and determining the lag time according to the empirical value of the delay time and the first data information.

[0010] Furthermore, performing adaptive control analysis according to the lag time by the adaptive control module to obtain the analysis results also includes: performing adaptive control analysis according to the lag time by the adaptive control module to determine the control parameters for the pump displacement; and using the control parameters as the analysis results to adjust the throttle valve opening and pump speed of the well-killing manifold.

[0011] Furthermore, the method also includes: calculating a predicted value of bottom hole pressure according to input wellbore parameters, formation parameters and fluid medium parameters through an adaptive control module; determining a control scheme according to the predicted value of bottom hole pressure to regulate wellhead back pressure through the control scheme.

[0012] To achieve the above objectives, according to another aspect of the present application, a control device for a well-killing manifold is provided. The device comprises: a first acquisition unit, configured to acquire first data information from the well-killing manifold via a detection feedback module when overflow is detected downhole; a first analysis unit, configured to analyze the first data information from the well-killing manifold via an adaptive control module to obtain an analysis result; and a first triggering unit, configured to trigger an execution instruction via an execution module based on the analysis result, thereby adjusting the throttle valve opening and pump speed of the well-killing manifold via the execution instruction.

[0013] Furthermore, the first analysis unit includes: a first determination subunit, used to determine the lag time based on the first data information through the learning module, wherein the first data information includes: casing pressure, riser pressure, and pump speed; a first control subunit, used to perform adaptive control analysis based on the lag time through the adaptive control module to obtain an analysis result.

[0014] Furthermore, the device also includes: a first updating unit, which is used to trigger the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the wellbore manifold through the execution instruction, and then update the lag time in real time according to the throttle valve opening and pump speed of the wellbore manifold through the learning module.

[0015] Furthermore, the first determination subunit also includes: a first acquisition module for acquiring historical data information of the well-killing manifold; a first determination module for analyzing the historical data information to determine an empirical value of the delay time; and a second determination module for determining the lag time based on the empirical value of the delay time and the first data information.

[0016] Furthermore, the first control subunit also includes: a third determination module, which is used to perform adaptive control analysis based on the lag time through the adaptive control module to determine the control parameters for the pump displacement; and a first adjustment module, which is used to use the control parameters as analysis results to adjust the throttle valve opening and pump speed of the wellbore manifold.

[0017] Furthermore, the device also includes: a first calculation unit, which is used to calculate the predicted value of the bottom hole pressure based on the input wellbore parameters, formation parameters and fluid medium parameters through the adaptive control module; a first control unit, which is used to determine the control scheme based on the predicted value of the bottom hole pressure, so as to control the wellhead back pressure through the control scheme.

[0018] Through this application, the following steps are adopted: if overflow is detected in the well, the first data information of the well-killing manifold is collected through the detection feedback module; the first data information of the well-killing manifold is analyzed by the adaptive control module to obtain the analysis result; the execution instruction is triggered by the execution module according to the analysis result, so as to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction. Through this application, the problem that intelligent adjustment cannot be performed when overflow occurs in the well in the related technology, resulting in the complication of the well situation and the impact of well control risks is solved. This application analyzes and processes the first data information through the adaptive control module, and adjusts the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, thereby achieving the effect of automatic and intelligent adjustment in the early stage of overflow, avoiding the complication of the well situation, and achieving the effect of effectively controlling the well risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0020] Figure 1 is a flow chart of a method for controlling a well-killing manifold according to an embodiment of the present application;

[0021] Figure 2 This is the operating procedure of the optional well killing manifold control method provided in the embodiment of the present application Figure 1 ;

[0022] Figure 3 This is the operating procedure of the optional well killing manifold control method provided in the embodiment of the present application Figure 2 ;

[0023] Figure 4 This is the operating procedure of the optional well killing manifold control method provided in the embodiment of the present application Figure 3 ;as well as

[0024] Figure 5 Schematic diagram of a control device for a well-killing manifold according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0026] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] For ease of description, some nouns or terms involved in the embodiments of the present application are explained below:

[0029] Manifold: A combination of multiple pipes, generally a throttling manifold, annular manifold, pressure test manifold, etc.

[0030] According to an embodiment of the present application, a method for controlling a well killing manifold is provided.

[0031] Figure 1 FIG. 1 is a flow chart of a method for controlling a well-killing manifold according to an embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0032] Step S101: If overflow is detected in the well, first data information of the well killing manifold is collected through the detection feedback module.

[0033] When overflow is detected downhole, a start command is sent to the intelligent kill manifold via other monitoring equipment. The intelligent kill manifold initializes based on historical data and then enters an automated control state. This automated state includes the choke manifold hardware system, which includes the manifold body, choke valves, a detection and feedback module, a learning module, an adaptive control module, and an execution module. The detection and feedback module includes a data acquisition board responsible for collecting the first data from the kill manifold.

[0034] Step S102: analyzing the first data information of the well-killing manifold through the adaptive control module to obtain an analysis result.

[0035] Step S103: triggering an execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the well killing manifold through the execution instruction.

[0036] Before the adaptive control module analyzes the first data information of the well-killing manifold, the detection feedback module sends the collected first data information to the learning module, so that the learning module can process and analyze the data.

[0037] Optionally, in the control method of the well-killing manifold provided in an embodiment of the present application, the first data information of the well-killing manifold is analyzed by an adaptive control module, and the analysis result obtained includes: determining the lag time according to the first data information through a learning module, wherein the first data information includes: casing pressure, riser pressure, and pump speed; and performing adaptive control analysis according to the lag time through the adaptive control module to obtain the analysis result.

[0038] like Figure 2 、 Figure 3 as well as Figure 4 As shown in FIG, three different operation flow charts of the technology of the present application are implemented to achieve the same technical effect. The analysis results are executed by the execution module to control the throttle valve opening and pump speed, and the learning module continuously updates the lag time in real time.

[0039] Specifically, the learning module can be composed of a DSP chip combined with an ARM chipset. There is a special hardware multiplier inside the chip. By detecting the temporal trend of casing pressure, riser pressure, and pump speed collected by the feedback module, digital signal processing is performed to determine the lag time and record the lag time.

[0040] It should be noted that when the wellbore manifold is killed for the first time, the learning module processes data information except for the first data information, and there is no historical data information of the wellbore manifold inside the system. The lag time determined by the learning module is then adaptively controlled and analyzed by the adaptive control module according to the lag time to obtain the analysis result.

[0041] When historical data information of the well-killing manifold exists within the system, optionally, in the control method of the well-killing manifold provided in the embodiment of the present application, determining the lag time through the learning module based on the first data information also includes: obtaining historical data information of the well-killing manifold; analyzing the historical data information to determine an empirical value of the delay time; and determining the lag time based on the empirical value of the delay time and the first data information.

[0042] After the learning module analyzes and processes the data, it automatically updates the previously measured lag time during subsequent well control operations and choke manifold control to reduce unnecessary errors. The learning module's learning function continues to learn and correct lag time in real time.

[0043] Optionally, in the control method of the wellbore manifold provided in an embodiment of the present application, after triggering the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the wellbore manifold through the execution instruction, the method also includes: updating the lag time in real time according to the throttle valve opening and pump speed of the wellbore manifold through the learning module.

[0044] Specifically, the learning module updates the lag time in real time according to the throttle valve opening and pump speed of the well killing manifold, and sends the real-time corrected lag time to the adaptive control module for subsequent adjustment.

[0045] It should be noted that the throttle valve opening and pump displacement are analyzed by the adaptive control module. The throttle valve is a conventional remotely controlled opening regulating valve that can be adjusted by high-pressure oil and has a valve position measurement device that can provide feedback of the valve position digital signal.

[0046] Optionally, in the control method of the well-killing manifold provided in the embodiment of the present application, an adaptive control analysis is performed according to the lag time by the adaptive control module, and the analysis result also includes: performing an adaptive control analysis according to the lag time by the adaptive control module to determine the control parameters for the pump displacement; and using the control parameters as the analysis results to adjust the throttle valve opening and pump speed of the well-killing manifold.

[0047] Through the above scheme, the displacement of the pump is accurately controlled according to the lag time analyzed by the learning module, and the size of the throttle valve opening is accurately controlled.

[0048] While adjusting the throttle valve opening of the well-killing manifold, timely prediction of the bottom hole pressure is also a problem that the intelligent learning and control method adopted in this application can solve. By timely predicting the bottom hole pressure and timely adjusting the throttle valve opening of the well-killing manifold, the bottom hole pressure fluctuation can be reduced, the adjustment errors caused by conventional control methods can be reduced, and the success rate of well killing can be increased.

[0049] Optionally, in the control method of the wellbore manifold provided in an embodiment of the present application, the method also includes: calculating the predicted value of the bottom hole pressure based on the input wellbore parameters, formation parameters and fluid medium parameters through an adaptive control module; determining a control scheme based on the predicted value of the bottom hole pressure to regulate the wellhead back pressure through the control scheme.

[0050] Specifically, the system analyzes and calculates predicted bottomhole pressure values ​​based on wellbore parameters, formation parameters, and fluid medium parameters. It then determines the optimal control strategy and transmits the resulting data to the execution module. Upon receiving the trigger command, the execution module promptly predicts bottomhole pressure, controls wellhead backpressure, and adjusts the throttle valve opening of the kill manifold. This effectively controls and removes downhole gas intrusion, thereby reducing wellhead pressure fluctuations, human error, and the risk of kill failures.

[0051] The control method of the well-killing manifold provided in the embodiment of the present application is as follows: if overflow is detected in the well, the first data information of the well-killing manifold is collected by the detection feedback module; the first data information of the well-killing manifold is analyzed by the adaptive control module to obtain the analysis result; the execution instruction is triggered by the execution module according to the analysis result, so as to adjust the throttle valve opening and pump speed of the well-killing manifold by executing the instruction. Through this application, the problem in the related art that intelligent adjustment cannot be performed when overflow occurs in the well, resulting in the complication of the well situation and the impact on well control risks is solved. This application analyzes and processes the first data information by the adaptive control module, and adjusts the throttle valve opening and pump speed of the well-killing manifold by executing the instruction, thereby achieving the effect of performing automated and intelligent adjustment in the early stage of overflow, avoiding the complication of the well situation, and achieving the effect of effectively controlling the well risk.

[0052] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0053] The present application also provides a control device for a well-killing manifold. It should be noted that the control device for a well-killing manifold in the present application can be used to execute the control method for a well-killing manifold provided in the present application. The control device for a well-killing manifold provided in the present application is described below.

[0054] Figure 5 Schematic diagram of the control device of the well killing manifold according to an embodiment of the present application. Figure 5 As shown, the device includes: a first acquisition unit 501 , a first analysis unit 502 , and a first triggering unit 503 .

[0055] Specifically, the first acquisition unit 501 is configured to acquire first data information of the well-killing manifold through the detection feedback module if overflow is detected in the well.

[0056] A first analysis unit 502 is configured to analyze first data information of the well-killing manifold through the adaptive control module to obtain an analysis result;

[0057] The first triggering unit 503 is configured to trigger an execution instruction according to the analysis result through the execution module, so as to adjust the throttle valve opening and pump speed of the well killing manifold through the execution instruction.

[0058] The control device for the well-killing manifold provided in the embodiment of the present application, if overflow is detected in the well, the first data information of the well-killing manifold is collected by the first acquisition unit 501 through the detection feedback module; the first analysis unit 502 analyzes the first data information of the well-killing manifold through the adaptive control module to obtain the analysis result; the first trigger unit 503 triggers the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction. It solves the problem in the related art that intelligent adjustment cannot be performed when overflow occurs in the well, resulting in the complication of the well situation and the impact of well control risks. The present application analyzes and processes the first data information through the adaptive control module, and adjusts the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, thereby achieving the effect of automatic and intelligent adjustment in the early stage of overflow, avoiding the complication of the well situation, and achieving the effect of effectively controlling the well risk.

[0059] Optionally, in the control device of the wellbore manifold provided in an embodiment of the present application, the first analysis unit 502 includes: a first determination subunit, used to determine the lag time based on the first data information through a learning module, wherein the first data information includes: casing pressure, riser pressure, and pump speed; a first control subunit, used to perform adaptive control analysis based on the lag time through an adaptive control module to obtain an analysis result.

[0060] Optionally, in the control device of the well-killing manifold provided in an embodiment of the present application, the device also includes: a first update unit, which is used to trigger the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, and then update the lag time in real time according to the throttle valve opening and pump speed of the well-killing manifold through the learning module.

[0061] Optionally, in the control device of the well-killing manifold provided in the embodiment of the present application, the first determination subunit also includes: a first acquisition module, used to obtain historical data information of the well-killing manifold; a first determination module, used to analyze the historical data information and determine the delay time experience value; a second determination module, used to determine the lag time based on the delay time experience value and the first data information.

[0062] Optionally, in the control device of the well-killing manifold provided in an embodiment of the present application, the first control subunit also includes: a third determination module, used to perform adaptive control analysis according to the lag time through the adaptive control module to determine the control parameters for the pump displacement; a first adjustment module, used to use the control parameters as analysis results to adjust the throttle valve opening and pump speed of the well-killing manifold.

[0063] Optionally, in the control device of the wellbore manifold provided in an embodiment of the present application, the device also includes: a first calculation unit, used to calculate the predicted value of the bottom hole pressure based on the input wellbore parameters, formation parameters and fluid medium parameters through an adaptive control module; a first regulation unit, used to determine a control scheme based on the predicted value of the bottom hole pressure, so as to regulate the wellhead back pressure through the control scheme.

[0064] The control device of the well killing manifold includes a processor and a memory. The above-mentioned first acquisition unit 501, first analysis unit 502, first trigger unit 503, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0065] The processor contains a kernel, which retrieves the corresponding program unit from the memory. There can be one or more kernels, and the kill manifold is controlled by adjusting the kernel parameters.

[0066] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0067] An embodiment of the present invention provides a storage medium storing a program, which implements a control method for a well-killing manifold when executed by a processor.

[0068] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes a control method for a well-killing manifold when running.

[0069] An embodiment of the present invention provides a device, which includes a processor, a memory, and a program stored in the memory and capable of running on the processor. When the processor executes the program, the following steps are implemented: if overflow is detected in the well, first data information of the well-killing manifold is collected through a detection feedback module; the first data information of the well-killing manifold is analyzed through an adaptive control module to obtain an analysis result; and an execution instruction is triggered by an execution module according to the analysis result, so as to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction.

[0070] When the processor executes the program, the following steps are also implemented: determining a lag time based on first data information through a learning module, wherein the first data information includes: casing pressure, standpipe pressure, and pump speed; and performing adaptive control analysis based on the lag time through an adaptive control module to obtain an analysis result.

[0071] When the processor executes the program, the following steps are also implemented: after triggering the execution instruction according to the analysis result through the execution module to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, the method also includes: updating the lag time in real time according to the throttle valve opening and pump speed of the well-killing manifold through the learning module.

[0072] When executing the program, the processor further implements the following steps: obtaining historical data information of the well killing manifold; analyzing the historical data information to determine an empirical value of the delay time; and determining the lag time based on the empirical value of the delay time and the first data information.

[0073] When the processor executes the program, the following steps are also implemented: the adaptive control module performs adaptive control analysis based on the lag time to determine the control parameters for the pump displacement; and the control parameters are used as analysis results to adjust the throttle valve opening and pump speed of the well killing manifold.

[0074] When the processor executes the program, the following steps are also implemented: calculating the predicted value of the bottom hole pressure based on the input parameters of the wellbore, the formation and the fluid medium through the adaptive control module; determining the control scheme based on the predicted value of the bottom hole pressure to regulate the wellhead back pressure through the control scheme.

[0075] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0076] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: if overflow is detected in the well, first data information of the well-killing manifold is collected through the detection feedback module; the first data information of the well-killing manifold is analyzed through the adaptive control module to obtain an analysis result; and an execution instruction is triggered through the execution module according to the analysis result, so as to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction.

[0077] When executed on a data processing device, the program is also suitable for executing an initialization method having the following steps: determining a lag time based on first data information through a learning module, wherein the first data information includes: casing pressure, standpipe pressure, and pump speed; and performing adaptive control analysis based on the lag time through an adaptive control module to obtain an analysis result.

[0078] When executed on a data processing device, it is also suitable for executing an initialized program having the following method steps: after triggering an execution instruction according to the analysis results through the execution module to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction, the method also includes: updating the lag time in real time according to the throttle valve opening and pump speed of the well-killing manifold through the learning module.

[0079] When executed on a data processing device, it is also suitable for executing an initialization program having the following method steps: obtaining historical data information of the well-killing manifold; analyzing the historical data information to determine an empirical value of the delay time; and determining the lag time based on the empirical value of the delay time and the first data information.

[0080] When executed on a data processing device, it is also suitable for executing an initialization program having the following method steps: performing adaptive control analysis based on the lag time through an adaptive control module to determine the control parameters for the pump displacement; using the control parameters as analysis results to adjust the throttle valve opening and pump speed of the well-killing manifold.

[0081] When executed on a data processing device, it is also suitable for executing an initialization program having the following method steps: calculating the predicted value of the bottom hole pressure based on the input wellbore parameters, formation parameters and fluid medium parameters through an adaptive control module; determining a control scheme based on the predicted value of the bottom hole pressure to regulate the wellhead back pressure through the control scheme.

[0082] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0083] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0084] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0086] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0087] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0088] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0089] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0090] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for controlling a well-killing manifold, characterized in that: include: If overflow is detected in the well, the first data information of the well killing manifold is collected through the detection feedback module; Analyzing the first data information of the well-killing manifold through an adaptive control module to obtain an analysis result; triggering an execution instruction according to the analysis result through an execution module, so as to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction; The adaptive control module analyzes the first data information of the well-killing manifold to obtain analysis results including: Determining a lag time based on the first data information through a learning module, wherein the first data information includes: casing pressure, standpipe pressure, and pump speed; Performing adaptive control analysis according to the lag time by the adaptive control module to obtain the analysis result; Wherein, after triggering an execution instruction according to the analysis result by the execution module to adjust the throttle valve opening and pump speed of the well killing manifold according to the execution instruction, the method further includes: The lag time is updated in real time according to the throttle valve opening and pump speed of the well killing manifold through a learning module; Wherein, determining the lag time according to the first data information through the learning module further includes: Obtaining historical data information of the well killing manifold; Analyze the historical data information to determine an empirical value of the delay time; Determining the lag time according to the delay time experience value and the first data information; The adaptive control module performs adaptive control analysis according to the lag time to obtain analysis results, which further includes: Performing adaptive control analysis according to the lag time by the adaptive control module to determine control parameters for the displacement of the pump; The control parameters are used as the analysis results to adjust the throttle valve opening and pump speed of the well killing manifold.

2. The method according to claim 1, characterized in that The method further comprises: Calculating a predicted value of bottom hole pressure according to input wellbore parameters, formation parameters and fluid medium parameters by the adaptive control module; A control scheme is determined according to the predicted value of the bottom hole pressure, so as to regulate the wellhead back pressure through the control scheme.

3. A control device for a well-killing manifold, characterized in that: include: The first acquisition unit is configured to acquire first data information of the well-killing manifold through the detection feedback module if overflow is detected in the well; a first analyzing unit, configured to analyze the first data information of the well-killing manifold through an adaptive control module to obtain an analysis result; a first triggering unit, configured to trigger an execution instruction according to the analysis result through an execution module, so as to adjust the throttle valve opening and pump speed of the well-killing manifold through the execution instruction; Wherein, the first analysis unit includes: A first determining subunit is configured to determine a lag time based on the first data information through a learning module, wherein the first data information includes: casing pressure, standpipe pressure, and pump speed; a first control subunit, configured to perform adaptive control analysis according to the lag time through the adaptive control module to obtain the analysis result; Wherein, the device further comprises: A first updating unit is configured to update the lag time in real time according to the throttle valve opening and pump speed of the well-killing manifold through a learning module; Wherein, the device further comprises: A first acquiring unit is configured to acquire historical data information of the well-killing manifold; A second analysis unit is used to analyze the historical data information to determine an empirical value of the delay time; a first determining unit, configured to determine the lag time according to the delay time experience value and the first data information; Among them, the first control subunit also includes: an adaptive control analysis module, which is used to perform adaptive control analysis according to the lag time through the adaptive control module to determine the control parameters for the pump displacement; and an adjustment module, which is used to use the control parameters as the analysis results to adjust the throttle valve opening and pump speed of the wellbore manifold.

4. A processor, characterized in that: The processor is configured to run a program, wherein the program executes the method according to any one of claims 1 to 2 when running.

5. A storage medium, characterized in that: The storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 2.

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