Fault detection method, device and equipment for wax-containing well screw pump and medium

Abstract

The invention discloses a fault detection method, device and equipment for a wax-bearing well screw pump and a storage medium. The method comprises the steps that actually-measured liquid production capacity data of a target wax-bearing well, actually-measured current data of a screw pump system, operation parameters of the target wax-bearing well and test data of the screw pump system are obtained; determining theoretical current data of a screw pump system according to the actually measured liquid production capacity data and the operating parameters, and determining theoretical liquid production capacity data of a target wax-bearing well according to the test data and the operating parameters; and determining a fault detection result of the wax-bearing well screw pump according to the actually measured liquid production capacity data, the actually measured current data, the theoretical current data and the theoretical liquid production capacity data. According to the technical scheme, the problem that the fault detection accuracy of the screw pump system is poor is solved, the fault type of the screw pump system can be accurately identified, targeted measures are taken in time to eliminate the fault influence, and the oil field operation efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of exploration equipment fault detection technology, and in particular to a fault detection method, device, electronic equipment and storage medium for a wax-containing well screw pump. Background Technology

[0002] A screw pump consists of a stator and a rotor, and the rotation of the rotor enables the transfer of media. Compared with other oil extraction methods, screw pump systems have advantages such as simple structure, low equipment investment, convenient installation, high efficiency and energy saving, and wide applicability. Therefore, oil extraction methods based on screw pumps have been rapidly developed and widely applied.

[0003] Screw pump systems are susceptible to various faults during operation, including wax blockage, stator swelling, tubing leakage, tubing breakage, and shaft breakage. The operating current of the screw pump system typically changes before a fault occurs; therefore, accurate prediction of current trends is crucial for fault early warning. Among all fault types, wax blockage and stator swelling are the most common. While these two types of faults exhibit similar characteristics in the operating parameters of the screw pump system, their handling methods are completely different. Therefore, accurately identifying the fault type of the screw pump system can effectively guide subsequent operations and reduce oilfield operating costs. Summary of the Invention

[0004] This invention provides a fault detection method, device, equipment, and storage medium for a wax-containing well screw pump, which solves the problem of poor fault detection accuracy in screw pump systems. It can accurately identify the fault type of the screw pump system, take timely and targeted measures to eliminate the impact of the fault, and improve the efficiency of oilfield operations.

[0005] According to one aspect of the present invention, a fault detection method for a wax-containing well screw pump is provided, the method comprising:

[0006] Acquire measured fluid production data of the target wax-bearing well, measured current data of the screw pump system, operating parameters of the target wax-bearing well, and test data of the screw pump system;

[0007] Based on the measured fluid production data and the operating parameters, the theoretical current data of the screw pump system is determined, and based on the test data and the operating parameters, the theoretical fluid production data of the target wax-containing well is determined.

[0008] Based on the measured fluid production data, the measured current data, the theoretical current data, and the theoretical fluid production data, the fault detection results of the wax-containing well screw pump are determined.

[0009] According to another aspect of the present invention, a fault detection device for a wax-containing well screw pump is provided, the device comprising:

[0010] The data acquisition module is used to acquire the measured fluid production data of the target wax-bearing well, the measured current data of the screw pump system, the operating parameters of the target wax-bearing well, and the test data of the screw pump system.

[0011] The theoretical data determination module is used to determine the theoretical current data of the screw pump system based on the measured fluid production data and the operating parameters, and to determine the theoretical fluid production data of the target wax-containing well based on the test data and the operating parameters.

[0012] The detection result determination module is used to determine the fault detection result of the wax-containing well screw pump based on the measured liquid production data, the measured current data, the theoretical current data, and the theoretical liquid production data.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the fault detection method for a wax-containing well screw pump according to any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the fault detection method for a wax-containing well screw pump according to any embodiment of the present invention.

[0016] The technical solution of this invention acquires measured production data of the target wax-bearing well, measured current data of the screw pump system, operating parameters of the target wax-bearing well, and test data of the screw pump system. Based on the measured production data and the operating parameters, the theoretical current data of the screw pump system is determined, and based on the test data and the operating parameters, the theoretical production data of the target wax-bearing well is determined. Based on the measured production data, the measured current data, the theoretical current data, and the theoretical production data, the fault detection result of the screw pump in the wax-bearing well is determined. This technical solution solves the problem of poor fault detection accuracy of screw pump systems, can accurately identify the fault type of the screw pump system, and take timely and targeted measures to eliminate the impact of the fault, thereby improving oilfield operation efficiency.

[0017] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a fault detection method for a wax-containing well screw pump according to Embodiment 1 of the present invention;

[0020] Figure 2 This is a flowchart of a fault detection method for a wax-containing well screw pump according to Embodiment 2 of the present invention;

[0021] Figure 3 This is a schematic diagram of the structure of a fault detection device for a wax-containing well screw pump according to Embodiment 3 of the present invention;

[0022] Figure 4 This is a schematic diagram of the structure of an electronic device for implementing the fault detection method for a wax-containing well screw pump according to an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be used interchangeably where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices. The acquisition, storage, use, and processing of data in the technical solutions of this application all comply with the relevant provisions of national laws and regulations.

[0025] Example 1

[0026] Figure 1 This document provides a flowchart of a fault detection method for a wax-containing well screw pump according to Embodiment 1 of the present invention. This embodiment is applicable to fault detection scenarios for wax-containing well screw pump systems. The method can be executed by a fault detection device for the wax-containing well screw pump, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0027] S110. Obtain the measured production data of the target wax-bearing well, the measured current data of the screw pump system, the operating parameters of the target wax-bearing well, and the test data of the screw pump system.

[0028] This solution can be executed by electronic devices such as computers and servers. The electronic devices can acquire measured production data of the target wax-bearing well within a preset time range, current data of the screw pump system within the preset time range, operating parameter data of the target wax-bearing well within the preset time range, and test data of the screw pump system. The operating parameters include parameters such as operating efficiency, bottom hole flowing pressure, well structure, pump mounting depth, screw pump model, water cut, and viscosity. The test data may include data such as test rotation speed, test pressure, and test flow rate.

[0029] S120. Based on the measured production volume data and the operating parameters, determine the theoretical current data of the screw pump system, and based on the test data and the operating parameters, determine the theoretical production volume data of the target wax-bearing well.

[0030] Based on measured production data and operational data of the target wax-bearing well, the electronic equipment can calculate the theoretical current data of the screw pump system. Specifically, based on the measured production data, the electronic equipment can calculate the pump outlet pressure data. Based on the pump outlet pressure data and the bottom hole pressure in the operational data, the electronic equipment can calculate data such as pump differential pressure, pump torque, and theoretical current. Based on the test data, the electronic equipment can determine the test curve characterizing the pressure-flow rate relationship of the screw pump system. Based on the test curve and operational parameters, the electronic equipment can calculate the theoretical production data of the target wax-bearing well.

[0031] S130. Based on the measured liquid production data, the measured current data, the theoretical current data, and the theoretical liquid production data, determine the fault detection result of the wax-containing well screw pump.

[0032] After obtaining the measured production volume data, measured current data, theoretical current data, and theoretical production volume data, the electronic equipment can determine the production volume difference data based on the measured and theoretical production volume data, and the current difference data based on the measured and theoretical current data. Based on the production volume difference data and the current difference data, the electronic equipment can determine the fault detection results of the screw pump in the wax-containing well.

[0033] Specifically, based on the production volume difference data, the electronic equipment can determine the production volume change trend; based on the current difference data, the electronic equipment can determine the current difference change trend. Based on the production volume change trend and the current difference change trend, the electronic equipment can determine the fault detection result of the screw pump in the wax-containing well. For example, if the current difference increases and the production volume difference decreases, the fault detection result of the screw pump in the wax-containing well is determined to be tubing wax blockage. If the current difference increases and the production volume difference also increases, the fault detection result of the screw pump in the wax-containing well is determined to be stator swelling.

[0034] The technical solution of this invention acquires measured production data of the target wax-bearing well, measured current data of the screw pump system, operating parameters of the target wax-bearing well, and test data of the screw pump system. Based on the measured production data and the operating parameters, the theoretical current data of the screw pump system is determined, and based on the test data and the operating parameters, the theoretical production data of the target wax-bearing well is determined. Based on the measured production data, the measured current data, the theoretical current data, and the theoretical production data, the fault detection result of the screw pump in the wax-bearing well is determined. This technical solution solves the problem of poor fault detection accuracy of screw pump systems, can accurately identify the fault type of the screw pump system, and take timely and targeted measures to eliminate the impact of the fault, thereby improving oilfield operation efficiency.

[0035] Example 2

[0036] Figure 2 This is a flowchart illustrating a fault detection method for a wax-containing well screw pump according to Embodiment 2 of the present invention. This embodiment is a refinement based on the above embodiment. Figure 2 As shown, the method includes:

[0037] S210. Obtain the measured production data of the target wax-bearing well, the measured current data of the screw pump system, the operating parameters of the target wax-bearing well, and the test data of the screw pump system.

[0038] S220. Based on the measured fluid production data and the operating parameters, determine the theoretical current data of the screw pump system, and based on the test data and the operating parameters, determine the theoretical fluid production data of the target wax-bearing well.

[0039] In one feasible solution, determining the theoretical current data of the screw pump system based on the measured liquid production data and the operating parameters includes:

[0040] Based on the measured liquid production data, determine the pump outlet pressure;

[0041] The pump differential pressure data is determined based on the pump outlet pressure and the operating parameters.

[0042] Based on the pump differential pressure data, determine the theoretical torque data of the screw pump system;

[0043] Based on the theoretical torque data, the theoretical current data of the screw pump system is determined.

[0044] Specifically, based on the measured production volume data, the pump outlet pressure can be calculated. Based on the pump outlet pressure and operating parameters, the pump pressure differential can be calculated. The formula for calculating the tubing pressure gradient can be expressed as:

[0045]

[0046] Where q0 represents oil production, W t ρ represents the total mass of the oil-water mixture produced simultaneously with a unit volume of degassed crude oil on the surface, λ represents the coefficient of friction, and ρ represents the total mass of the oil-water mixture produced simultaneously with a unit volume of degassed crude oil on the surface. m Δ represents the density of the mixed fluid, D represents the outer diameter of the tubing, α represents the well inclination angle, Δh represents the depth change, and ΔP represents the pressure change matched by Δh.

[0047] The friction coefficient λ can be calculated using the following formula:

[0048]

[0049] Where Ra represents the roughness of the inner wall of the tubing, d represents the inner diameter of the tubing, and Re represents the Reynolds number.

[0050] The formula for calculating theoretical torque can be expressed as:

[0051]

[0052] Where M0 represents the actual torque, e represents the screw pump eccentricity, and T represents the temperature.

[0053] The formula for calculating theoretical current can be expressed as:

[0054]

[0055] Where ω represents the rotational speed of the screw pump system, U N η represents the rated voltage of the screw pump system. M Indicates the efficiency of the screw pump system. This indicates the power factor of the screw pump system.

[0056] Optionally, in this scheme, determining the theoretical fluid production data of the target wax-bearing well based on the test data and the operating parameters includes:

[0057] Based on the test data, determine the pressure-flow relationship curve of the screw pump system;

[0058] Based on the operating parameters and the pressure-flow rate relationship curve, the theoretical production data of the target waxy well is determined.

[0059] Specifically, after obtaining the theoretical current data, the electronic equipment can fit the pressure-flow rate relationship curve of the screw pump system at a preset speed based on the test pressure and flow rate in the test data. Based on the operating parameters and the pressure-flow rate relationship curve, the electronic equipment can determine the hydraulic characteristic curve of the screw pump system, and then, by looking up the table, determine the theoretical production rate matching the theoretical current value, thereby obtaining the theoretical production rate data of the target wax-containing well.

[0060] The hydraulic characteristic curve can be determined based on the correlation between the actual rotational speed and actual displacement of the screw pump system. This correlation can be expressed as:

[0061]

[0062] Where n represents the actual rotational speed of the screw pump system, n t Q represents the rated speed of the screw pump system. t Q1 represents the rated displacement of the screw pump system, and Q2 represents the actual displacement of the screw pump system.

[0063] Electronic devices can use the actual viscosity to correct the actual displacement. The corrected actual displacement can be expressed as:

[0064]

[0065] Among them, Q 实际 Q represents the corrected actual displacement, Q2 represents the actual displacement at the preset speed, and Q... 水 σ represents the displacement of a screw pump system under water medium conditions. 水 σ represents the viscosity of water. 实际 This indicates the actual viscosity of the fluid.

[0066] S230. Based on the measured liquid production data and the theoretical liquid production data, determine the liquid production difference data, and based on the measured current data and the theoretical current data, determine the current difference data.

[0067] Understandably, the measured liquid production data can include measured liquid production volumes at multiple times, and the theoretical liquid production data can include theoretical liquid production volumes matched with each measured liquid production volume. The electronic device can calculate the difference between the measured liquid production volume and the theoretical liquid production volume at the same time to obtain liquid production volume difference data. Similarly, the measured current data can include measured currents at multiple times, and the theoretical current data can include theoretical currents matched with each measured current. The electronic device can calculate the difference between the measured current and the theoretical current at the same time to obtain current difference data.

[0068] S240. Based on the current difference data and the pre-acquired bottom hole pressure data, determine the current prediction result.

[0069] Electronic devices can determine the rate of change of bottom hole pressure based on bottom hole pressure data, and predict the current data at unknown times based on the rate of change of bottom hole pressure and the current difference at known times.

[0070] In this embodiment, optionally, determining the current prediction result based on the current difference data and the pre-acquired bottom hole pressure data includes:

[0071] Based on the current difference data and the pre-acquired bottom hole pressure data, the current prediction result is determined according to the pre-constructed theoretical current prediction model.

[0072] Understandably, theoretical current prediction models can characterize the correlation between current difference and time, and then determine the current prediction results based on the correlation between current difference and time, as well as the rate of change of bottom hole pressure.

[0073] S250. Based on the current difference data, determine the current difference change result, and based on the liquid production difference data, determine the liquid production difference change result.

[0074] Based on the above scheme, optionally, determining the change result of the current difference based on the current difference data, and determining the change result of the liquid production difference based on the liquid production difference data, includes:

[0075] Based on the statistical process control model, the change result of the current difference is determined according to the current difference data, and the change result of the liquid production difference is determined according to the liquid production difference data.

[0076] The Statistical Process Control (SPC) model is a process control tool that utilizes mathematical statistics to analyze and evaluate the production process. Based on feedback information, it can promptly detect signs of systemic factors and take measures to eliminate their impact, maintaining the process in a controlled state where it is only affected by random factors, thereby achieving the goal of quality control. Based on the SPC model and current difference data, the electronic equipment can obtain the trend of current difference changes. Similarly, based on the SPC model and product liquid difference data, the electronic equipment can obtain the trend of product liquid difference changes.

[0077] S260. Based on the current prediction results, the current difference change results, and the production volume difference change results, determine the fault detection results of the wax-containing well screw pump.

[0078] In a preferred embodiment, determining the fault detection result of the wax-containing well screw pump based on the current prediction result, the current difference change result, and the production volume difference change result includes:

[0079] If the change result of the current difference is an increase, the change result of the production volume difference is a decrease, and the current prediction result is that the current increase rate is greater than the preset increase rate, then the fault detection result of the screw pump in the wax-containing well is determined to be tubing wax blockage.

[0080] If the change result of the current difference is increasing, the change result of the liquid production difference is increasing, and the current prediction result is that the current increase rate is less than the preset increase rate, then the fault detection result of the wax-containing well screw pump is determined to be stator swelling.

[0081] The above scheme can determine the fault detection results of the screw pump in the wax-containing well based on the current prediction results, the current difference change results, and the production volume difference change results, which helps to ensure the reliability and accuracy of the fault detection results.

[0082] It should be noted that for tubing wax blockage, the fault can be eliminated by wax removal operations; for stator swelling, the downhole tubing string can be pulled out and the stator replaced to eliminate the fault.

[0083] The technical solution of this invention acquires measured production data of the target wax-bearing well, measured current data of the screw pump system, operating parameters of the target wax-bearing well, and test data of the screw pump system. Based on the measured production data and the operating parameters, the theoretical current data of the screw pump system is determined, and based on the test data and the operating parameters, the theoretical production data of the target wax-bearing well is determined. Based on the measured production data, the measured current data, the theoretical current data, and the theoretical production data, the fault detection result of the screw pump in the wax-bearing well is determined. This technical solution solves the problem of poor fault detection accuracy of screw pump systems, can accurately identify the fault type of the screw pump system, and take timely and targeted measures to eliminate the impact of the fault, thereby improving oilfield operation efficiency.

[0084] Example 3

[0085] Figure 3 This is a schematic diagram of a fault detection device for a wax-containing well screw pump provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes:

[0086] The data acquisition module 310 is used to acquire the measured production data of the target wax-bearing well, the measured current data of the screw pump system, the operating parameters of the target wax-bearing well, and the test data of the screw pump system.

[0087] The theoretical data determination module 320 is used to determine the theoretical current data of the screw pump system based on the measured fluid production data and the operating parameters, and to determine the theoretical fluid production data of the target wax-containing well based on the test data and the operating parameters.

[0088] The detection result determination module 330 is used to determine the fault detection result of the wax-containing well screw pump based on the measured liquid production data, the measured current data, the theoretical current data, and the theoretical liquid production data.

[0089] In this solution, optionally, the theoretical data determination module 320 includes a theoretical current determination unit, which is used for:

[0090] Based on the measured liquid production data, determine the pump outlet pressure;

[0091] The pump differential pressure data is determined based on the pump outlet pressure and the operating parameters.

[0092] Based on the pump differential pressure data, determine the theoretical torque data of the screw pump system;

[0093] Based on the theoretical torque data, the theoretical current data of the screw pump system is determined.

[0094] Based on the above scheme, optionally, the theoretical data determination module 320 includes a theoretical liquid production determination unit, which is used for:

[0095] Based on the test data, determine the pressure-flow relationship curve of the screw pump system;

[0096] Based on the operating parameters and the pressure-flow rate relationship curve, the theoretical production data of the target waxy well is determined.

[0097] In one feasible solution, the detection result determination module 330 includes:

[0098] The difference data determination unit is used to determine the difference data of liquid production based on the measured liquid production data and the theoretical liquid production data, and to determine the difference data of current based on the measured current data and the theoretical current data.

[0099] The current prediction result determination unit is used to determine the current prediction result based on the current difference data and the pre-acquired bottom hole pressure data.

[0100] The change result determination unit is used to determine the change result of the current difference based on the current difference data, and to determine the change result of the liquid production difference based on the liquid production difference data.

[0101] The fault detection result determination unit is used to determine the fault detection result of the wax-containing well screw pump based on the current prediction result, the current difference change result, and the production volume difference change result.

[0102] Based on the above scheme, optionally, the current prediction result determination unit is specifically used for:

[0103] Based on the current difference data and the pre-acquired bottom hole pressure data, the current prediction result is determined according to the pre-constructed theoretical current prediction model.

[0104] In this embodiment, optionally, the change result determination unit is specifically used for:

[0105] Based on the statistical process control model, the change result of the current difference is determined according to the current difference data, and the change result of the liquid production difference is determined according to the liquid production difference data.

[0106] In a preferred embodiment, the fault detection result determination unit is specifically used for:

[0107] If the change result of the current difference is an increase, the change result of the production volume difference is a decrease, and the current prediction result is that the current increase rate is greater than the preset increase rate, then the fault detection result of the screw pump in the wax-containing well is determined to be tubing wax blockage.

[0108] If the change result of the current difference is increasing, the change result of the liquid production difference is increasing, and the current prediction result is that the current increase rate is less than the preset increase rate, then the fault detection result of the wax-containing well screw pump is determined to be stator swelling.

[0109] The fault detection device for wax-containing well screw pumps provided in this embodiment of the invention can execute the fault detection method for wax-containing well screw pumps provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0110] Example 4

[0111] Figure 4 A schematic diagram of an electronic device 410 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0112] like Figure 4 As shown, the electronic device 410 includes at least one processor 411 and a memory, such as a read-only memory (ROM) 412 or a random access memory (RAM) 413, communicatively connected to the at least one processor 411. The memory stores computer programs executable by the at least one processor. The processor 411 can perform various appropriate actions and processes based on the computer program stored in the ROM 412 or loaded from storage unit 418 into the RAM 413. The RAM 413 may also store various programs and data required for the operation of the electronic device 410. The processor 411, ROM 412, and RAM 413 are interconnected via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0113] Multiple components in electronic device 410 are connected to I / O interface 415, including: input unit 416, such as keyboard, mouse, etc.; output unit 417, such as various types of displays, speakers, etc.; storage unit 418, such as disk, optical disk, etc.; and communication unit 419, such as network card, modem, wireless transceiver, etc. Communication unit 419 allows electronic device 410 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0114] Processor 411 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 411 performs the various methods and processes described above, such as a fault detection method for a wax well screw pump.

[0115] In some embodiments, the fault detection method for a wax-containing well screw pump can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 410 via ROM 412 and / or communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the fault detection method for a wax-containing well screw pump described above can be performed. Alternatively, in other embodiments, processor 411 can be configured to perform the fault detection method for a wax-containing well screw pump by any other suitable means (e.g., by means of firmware).

[0116] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0117] Computer programs used to implement the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable fault detection device for a wax well screw pump, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0118] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0119] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0120] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0121] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0122] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0123] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A fault detection method for a wax-containing well screw pump, characterized in that, The method includes: Acquire measured fluid production data of the target wax-bearing well, measured current data of the screw pump system, operating parameters of the target wax-bearing well, and test data of the screw pump system; Based on the measured fluid production data and the operating parameters, the theoretical current data of the screw pump system is determined, and based on the test data and the operating parameters, the theoretical fluid production data of the target wax-containing well is determined. Based on the measured fluid production data, the measured current data, the theoretical current data, and the theoretical fluid production data, the fault detection results of the wax-containing well screw pump are determined.

2. The method according to claim 1, characterized in that, The step of determining the theoretical current data of the screw pump system based on the measured liquid production data and the operating parameters includes: Based on the measured liquid production data, determine the pump outlet pressure; The pump differential pressure data is determined based on the pump outlet pressure and the operating parameters. Based on the pump differential pressure data, determine the theoretical torque data of the screw pump system; Based on the theoretical torque data, the theoretical current data of the screw pump system is determined.

3. The method according to claim 2, characterized in that, The step of determining the theoretical fluid production data of the target wax-bearing well based on the test data and the operating parameters includes: Based on the test data, determine the pressure-flow relationship curve of the screw pump system; Based on the operating parameters and the pressure-flow rate relationship curve, the theoretical production data of the target wax-bearing well is determined.

4. The method according to claim 1, characterized in that, The step of determining the fault detection result of the wax-containing well screw pump based on the measured fluid production data, the measured current data, the theoretical current data, and the theoretical fluid production data includes: Based on the measured liquid production data and the theoretical liquid production data, the liquid production difference data is determined, and based on the measured current data and the theoretical current data, the current difference data is determined. Based on the current difference data and the pre-acquired bottom hole pressure data, the current prediction result is determined; Based on the current difference data, determine the change in current difference, and based on the liquid production difference data, determine the change in liquid production difference. Based on the current prediction results, the current difference change results, and the production volume difference change results, the fault detection results of the wax-containing well screw pump are determined.

5. The method according to claim 4, characterized in that, The step of determining the current prediction result based on the current difference data and the pre-acquired bottom hole pressure data includes: Based on the current difference data and the pre-acquired bottom hole pressure data, the current prediction result is determined according to the pre-constructed theoretical current prediction model.

6. The method according to claim 4, characterized in that, The step of determining the change in current difference based on the current difference data and determining the change in liquid production difference based on the liquid production difference data includes: Based on the statistical process control model, the change result of the current difference is determined according to the current difference data, and the change result of the liquid production difference is determined according to the liquid production difference data.

7. The method according to claim 4, characterized in that, The step of determining the fault detection result of the wax-containing well screw pump based on the current prediction result, the current difference change result, and the production volume difference change result includes: If the change result of the current difference is an increase, the change result of the production volume difference is a decrease, and the current prediction result is that the current increase rate is greater than the preset increase rate, then the fault detection result of the screw pump in the wax-containing well is determined to be tubing wax blockage. If the change result of the current difference is increasing, the change result of the liquid production difference is increasing, and the current prediction result is that the current increase rate is less than the preset increase rate, then the fault detection result of the wax-containing well screw pump is determined to be stator swelling.

8. A fault detection device for a wax-containing well screw pump, characterized in that, include: The data acquisition module is used to acquire the measured fluid production data of the target wax-bearing well, the measured current data of the screw pump system, the operating parameters of the target wax-bearing well, and the test data of the screw pump system. The theoretical data determination module is used to determine the theoretical current data of the screw pump system based on the measured fluid production data and the operating parameters, and to determine the theoretical fluid production data of the target wax-containing well based on the test data and the operating parameters. The detection result determination module is used to determine the fault detection result of the wax-containing well screw pump based on the measured liquid production data, the measured current data, the theoretical current data, and the theoretical liquid production data.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the fault detection method for a wax-containing well screw pump according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the fault detection method for the wax-containing well screw pump according to any one of claims 1-7.

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