Method, device and equipment for predicting paraffin removal cycle of producing well and storage medium

Abstract

The invention belongs to the technical field of oil production engineering, and provides an oil production well paraffin removal period prediction method, device and equipment and a storage medium, the method comprises the steps that influence factors of a paraffin removal period are acquired, the influence factors comprise at least three factor sets, and each factor set comprises at least three factors; determining a paraffin removal period prediction value corresponding to each factor set according to the numerical value of each factor in each factor set, and endowing each factor with a weight coefficient; and calculating the paraffin removal period according to the paraffin removal period prediction value corresponding to each factor set and the weight coefficient corresponding to each factor. According to the method, hierarchical analysis can be carried out on the multistage influence factors of wellbore paraffin precipitation, a fuzzy mathematical model is established, the paraffin removal period is comprehensively evaluated, analyzed and predicted, and technical support is provided for paraffin removal management of oil production engineering.

Description

Technical Field

[0001] The present invention relates to the technical field of oil production engineering, and in particular, to a method, device, equipment and storage medium for predicting the wax cleaning cycle of oil production wells. Background Art

[0002] During the production process of oil production wells, the problem of wax deposition in the wellbore widely exists, which will lead to an increase in load and a shortening of the pump inspection period, seriously affecting the normal production of oil wells. At present, the prediction of the wax cleaning cycle mainly relies on manual experience, and is judged by the maximum load, alternating load and previous wax cleaning cycles. Economic factors and other factors have not been considered yet, and there is no method for multi-factor correlation analysis.

[0003] Through retrieval, there are currently 2 methods for predicting the wax cleaning cycle of oil production wells. One is a method for predicting the dynamic wax cleaning cycle of oil wells in offshore oilfields (ZL201811140212.4). This method predicts the wax cleaning cycle by calculating the temperature profile along the wellbore downward from the wellhead, the wax deposition amount along the wellbore and the pump discharge flow rate, and combining with the characteristic curve of the electric submersible centrifugal pump. The limitation is that this method is only applicable to the wax cleaning cycle prediction of the electric submersible centrifugal pump lifting process and is not applicable to the wax cleaning cycle prediction of the beam pumping unit commonly used in onshore oilfields. The other is a method and device for optimizing the wax cleaning system of oil wells and a dosing control chart (ZL201711109273.X). This method takes the condition that the wax thickness in the tubing cannot meet the production as the critical point, calculates the wax cleaning cycle of different wells, obtains the reasonable dosage of the wax remover, and obtains the dosing control chart for optimizing the wax cleaning system of oil wells. The limitation is that it focuses on the wax cleaning system and the dosing chart, and the reliability of the wax cleaning cycle prediction is not high. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and storage medium for predicting the wax cleaning cycle of oil production wells to improve the above problems.

[0005] To achieve the above purpose, the embodiments of the present application provide the following technical solutions:

[0006] On the one hand, the embodiments of the present application provide a method for predicting the wax cleaning cycle of an oil production well, and the method includes:

[0007] Obtain the influencing factors of the wax cleaning cycle, where the influencing factors include at least three factor sets, and each factor set includes at least three factors;

[0008] Determine the wax cleaning cycle prediction value corresponding to each factor set according to the value of each factor in each factor set, and assign a weight coefficient to each factor;

[0009] Calculate the wax cleaning cycle according to the wax cleaning cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor.

[0010] Optionally, obtain the influencing factors of the wax cleaning cycle, including:

[0011] Obtain the influencing factors of the wax cleaning cycle, where the influencing factors include reservoir factors, wellbore factors, and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient, and wax content of crude oil. The wellbore factors include pump setting depth, maximum load, and alternating load. The economic factors include the previous wax cleaning cycle, the current production days, and the wax cleaning cost.

[0012] Optionally, determine the predicted wax cleaning cycle corresponding to each factor set according to the value of each factor in each factor set, and assign a weight coefficient to each factor, including:

[0013] Obtain the predicted wax cleaning cycle corresponding to each factor set and the weight coefficient corresponding to each factor. The predicted wax cleaning cycle corresponding to each factor set and the weight coefficient corresponding to each factor are all uploaded by the staff.

[0014] Optionally, calculate the wax cleaning cycle according to the predicted wax cleaning cycle corresponding to each factor set and the weight coefficient corresponding to each factor, including:

[0015] Construct formula (1), and calculate the wax cleaning cycle through formula (1), the predicted wax cleaning cycle corresponding to each factor set, and the weight coefficient corresponding to each factor. Formula (1) is:

[0016] T = V i ·R ij (1)

[0017] In formula (1), T is the wax cleaning cycle, V i is the predicted wax cleaning cycle corresponding to each factor set, and R ij is the weight coefficient corresponding to each factor.

[0018] In a second aspect, an embodiment of the present application provides an apparatus for predicting the wax cleaning cycle of an oil production well. The apparatus includes an acquisition module, a determination module, and a calculation module.

[0019] The acquisition module is used to acquire the influencing factors of the wax cleaning cycle. The influencing factors include at least three factor sets, and each factor set includes at least three factors;

[0020] The determination module is used to determine the predicted wax cleaning cycle corresponding to each factor set according to the value of each factor in each factor set, and assign a weight coefficient to each factor;

[0021] The calculation module is used to calculate the wax cleaning cycle according to the predicted wax cleaning cycle corresponding to each factor set and the weight coefficient corresponding to each factor.

[0022] Optionally, the acquisition module includes:

[0023] A first acquisition unit for acquiring the influencing factors of the paraffin removal cycle, where the influencing factors include reservoir factors, wellbore factors, and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient, and wax content of crude oil. The wellbore factors include pump setting depth, maximum load, and alternating load. The economic factors include the last paraffin removal cycle, the current production days, and the paraffin removal cost.

[0024] Optionally, the determination module includes:

[0025] A second acquisition unit for acquiring the predicted paraffin removal cycle corresponding to each factor set and the weight coefficient corresponding to each factor, where the predicted paraffin removal cycle corresponding to each factor set and the weight coefficient corresponding to each factor are uploaded by the staff.

[0026] Optionally, the calculation module includes:

[0027] A calculation unit for constructing formula (1), and calculating the paraffin removal cycle through formula (1), the predicted paraffin removal cycle corresponding to each factor set, and the weight coefficient corresponding to each factor. Formula (1) is:

[0028] T = V i ·R ij (1)

[0029] In formula (1), T is the paraffin removal cycle, V i is the predicted paraffin removal cycle corresponding to each factor set, and R ij is the weight coefficient corresponding to each factor.

[0030] In a third aspect, an embodiment of the present application provides an equipment for predicting the paraffin removal cycle of an oil production well, and the equipment includes a memory and a processor. The memory is used for storing a computer program; the processor is used for implementing the steps of the above-mentioned method for predicting the paraffin removal cycle of an oil production well when executing the computer program.

[0031] In a fourth aspect, an embodiment of the present application provides a storage medium, on which a computer program is stored, and the computer program realizes the steps of the above-mentioned method for predicting the paraffin removal cycle of an oil production well when being executed by a processor.

[0032] The beneficial effects of the present invention are:

[0033] 1. Aiming at the deficiencies of the existing technology, the present invention provides a method for predicting and optimizing the paraffin removal cycle of a rod pump of a pumping unit based on fuzzy mathematics, including paraffin removal factors, a mathematical model, and a comprehensive evaluation analysis method, which meets the requirements of paraffin removal cycle prediction and is easy to implement and promote.

[0034] 2. The present invention aims to fill the technical gap in the prediction method for the wax removal cycle of oil production wells with multiple factors. A prediction and optimization method for the wax removal cycle of rod pumps in pumping units based on fuzzy mathematics is developed, which can conduct hierarchical analysis on multiple influencing factors of wellbore wax deposition, establish a fuzzy mathematics model, comprehensively evaluate and analyze to predict the wax removal cycle, and provide technical support for wax removal management in oil production engineering.

[0035] Other features and advantages of the present invention will be described in the subsequent specification, and partly become apparent from the specification, or can be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the written specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0037] Figure 1 It is a schematic flow chart of the method for predicting the wax removal cycle of an oil production well described in the embodiments of the present invention;

[0038] Figure 2 It is a schematic structural diagram of the device for predicting the wax removal cycle of an oil production well described in the embodiments of the present invention;

[0039] Figure 3 It is a schematic structural diagram of the equipment for predicting the wax removal cycle of an oil production well described in the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0041] It should be noted that similar reference numerals or letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0042] Embodiment 1

[0043] As Figure 1 shown, this embodiment provides a method for predicting the paraffin removal cycle of an oil production well, and the method includes step S1, step S2, and step S3.

[0044] Step S1: Obtain the influencing factors of the paraffin removal cycle. The influencing factors include at least three factor sets, and each factor set includes at least three factors;

[0045] In this step, the specific implementation steps include step S11;

[0046] Step S11: Obtain the influencing factors of the paraffin removal cycle. The influencing factors include reservoir factors, wellbore factors, and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient, and wax content of crude oil. The wellbore factors include pump setting depth, maximum load, and alternating load. The economic factors include the previous paraffin removal cycle, the current production days, and the paraffin removal cost.

[0047] Specifically, this step is as follows:

[0048] The first layer of factor sets:

[0049] U = {U1, U2, U3} = {reservoir factors, wellbore factors, economic factors}

[0050] The second layer of factor sets:

[0051] U1 = {U11, U12, U13} = {reservoir burial depth, geothermal gradient, wax content of crude oil}

[0052] U2 = {U21, U22, U23} = {pump setting depth, maximum load, alternating load}

[0053] U3 = {U31, U32, U33} = {the previous paraffin removal cycle, the current production days, the paraffin removal cost}

[0054] Step S2: Determine the paraffin removal cycle prediction value corresponding to each factor set according to the value of each factor in each factor set, and assign a weight coefficient to each factor;

[0055] In this step, the specific implementation steps include step S21;

[0056] Step S21: Obtain the predicted wax removal cycle values corresponding to each of the said factor sets and the weight coefficients corresponding to each of the said factors. The predicted wax removal cycle values corresponding to each of the said factor sets and the weight coefficients corresponding to each of the said factors are all uploaded by the staff.

[0057] Specifically, this step is as follows:

[0058] V 1 = Predicted value of the wax removal cycle based on reservoir factors {reservoir burial depth, geothermal gradient, wax content in crude oil}

[0059] V 2 = Predicted value of the wax removal cycle based on wellbore factors {pump setting depth, maximum load, alternating load}

[0060] V 3 = Predicted value of the wax removal cycle based on economic factors {last wax removal cycle, current production days, wax removal cost}

[0061] Specifically, the above is as follows:

[0062] U1 = {U11, U12, U13} = {reservoir burial depth = 4028m, geothermal gradient = 3.3°C / 100m, wax content in crude oil = 27.54%}

[0063] U2 = {U21, U22, U23} = {pump setting depth = 2200m, maximum load 101.2KN, alternating load 42.95KN}

[0064] U3 = {U31, U32, U33} = {last wax removal cycle = 90d, current production days = 53d, wax removal cost = 5000 yuan}

[0065] V 1 = Predicted value of the wax removal cycle based on reservoir factors {reservoir burial depth, geothermal gradient, wax content in crude oil} = 65d

[0066] V 2 = Predicted value of the wax removal cycle based on wellbore factors {pump setting depth, maximum load, alternating load} = 53dV 3 = Predicted value of the wax removal cycle based on economic factors {last wax removal cycle, current production days, wax removal cost} = 90d

[0067] In the above content, V 1 、V 2 、V 3 are all uploaded by the staff according to the values of each factor, and the weight coefficients corresponding to each factor are also uploaded by the staff;

[0068] Step S3: Calculate the wax removal cycle according to the predicted wax removal cycle values corresponding to each of the said factor sets and the weight coefficients corresponding to each of the said factors.

[0069] In this step, the specific implementation steps include step S31;

[0070] Step S31: Construct formula (1), and calculate the wax removal cycle through formula (1), the predicted value of the wax removal cycle corresponding to each factor set, and the weight coefficient corresponding to each factor. Formula (1) is:

[0071] T = V i ·R ij (1)

[0072] In formula (1), T is the wax removal cycle, V i is the predicted value of the wax removal cycle corresponding to each factor set, and R ij is the weight coefficient corresponding to each factor.

[0073] Specifically, this step is as follows:

[0074] R ij The weight coefficient of each factor U ij on the wax removal cycle, where i = 1, 2, 3; j = 1, 2, 3

[0075]

[0076]

[0077] The calculation result is the predicted wax removal cycle value of 68 days for this well.

[0078] After applying this method to this well, the wax removal cycle is optimized from 90 days to 68 days, the pump inspection cycle is extended by 230 days, and the cost is saved by 150,000 yuan.

[0079] This embodiment provides a method for predicting and optimizing the wax removal cycle, which can analyze multi-level influencing factors such as the wax content, water content, and alternating load conditions of crude oil, establish a fuzzy mathematical matrix model, and provide technical support for wax removal management in oil production engineering.

[0080] Embodiment 2

[0081] As Figure 2 shown, this embodiment provides an oil production well wax removal cycle prediction device, which includes an acquisition module 701, a determination module 702, and a calculation module 703.

[0082] The acquisition module 701 is used to acquire the influencing factors of the wax removal cycle, and the influencing factors include at least three factor sets, and each factor set includes at least three factors;

[0083] A determination module 702, configured to determine a paraffin removal cycle prediction value corresponding to each of the factor sets according to the numerical value of each factor in each of the factor sets, and assign a weight coefficient to each of the factors;

[0084] A calculation module 703, configured to calculate the paraffin removal cycle according to the paraffin removal cycle prediction value corresponding to each of the factor sets and the weight coefficient corresponding to each of the factors.

[0085] In a specific embodiment of the present disclosure, the obtaining module 701 further includes a first obtaining unit 7011.

[0086] The first obtaining unit 7011 is configured to obtain the influencing factors of the paraffin removal cycle, where the influencing factors include reservoir factors, wellbore factors, and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient, and wax content of crude oil. The wellbore factors include pump setting depth, maximum load, and alternating load. The economic factors include the last paraffin removal cycle, the current production days, and the paraffin removal cost.

[0087] In a specific embodiment of the present disclosure, the determination module 702 further includes a second obtaining unit 7021.

[0088] The second obtaining unit 7021 is configured to obtain the paraffin removal cycle prediction value corresponding to each of the factor sets and the weight coefficient corresponding to each of the factors, and both the paraffin removal cycle prediction value corresponding to each of the factor sets and the weight coefficient corresponding to each of the factors are uploaded by the staff.

[0089] In a specific embodiment of the present disclosure, the calculation module 703 further includes a calculation unit 7031.

[0090] The calculation unit 7031 is configured to construct formula (1), and calculate the paraffin removal cycle through formula (1), the paraffin removal cycle prediction value corresponding to each of the factor sets, and the weight coefficient corresponding to each of the factors. Formula (1) is:

[0091] T = V i ·R ij (1)

[0092] In formula (1), T is the paraffin removal cycle, V i is the paraffin removal cycle prediction value corresponding to each of the factor sets, and R ij is the weight coefficient corresponding to each of the factors.

[0093] It should be noted that regarding the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be elaborated here.

[0094] Embodiment 3

[0095] Corresponding to the above method embodiments, the embodiments of the present disclosure also provide an equipment for predicting the paraffin removal cycle of an oil production well. The equipment for predicting the paraffin removal cycle of an oil production well described below can be correspondingly referred to the method for predicting the paraffin removal cycle of an oil production well described above.

[0096] Figure 3 It is a block diagram of an equipment 800 for predicting the paraffin removal cycle of an oil production well shown according to an exemplary embodiment. As Figure 3 shown, the equipment 800 for predicting the paraffin removal cycle of an oil production well may include: a processor 801, a memory 802. The equipment 800 for predicting the paraffin removal cycle of an oil production well may further include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0097] Among them, the processor 801 is used to control the overall operation of the paraffin removal cycle prediction device 800 for oil production wells to complete all or part of the steps in the above-mentioned paraffin removal cycle prediction method for oil production wells. The memory 802 is used to store various types of data to support the operation of the paraffin removal cycle prediction device 800 for oil production wells. These data may include, for example, instructions for any application program or method operating on the paraffin removal cycle prediction device 800 for oil production wells, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, and so on. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disks, or optical discs. The multimedia component 803 may include a screen and an audio component. Among them, the screen can be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, and the microphone is used to receive external audio signals. The received audio signals can be further stored in the memory 802 or sent through the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be a keyboard, a mouse, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the paraffin removal cycle prediction device 800 for oil production wells and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them. Therefore, the corresponding communication component 805 may include: a Wi-Fi module, a Bluetooth module, and an NFC module.

[0098] In an exemplary embodiment, the paraffin removal cycle prediction device 800 for oil production wells may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the above-mentioned paraffin removal cycle prediction method for oil production wells.

[0099] In another exemplary embodiment, a computer storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the above-mentioned paraffin removal cycle prediction method for oil production wells are implemented. For example, the computer storage medium may be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions may be executed by the processor 801 of the paraffin removal cycle prediction device 800 for oil production wells to complete the above-mentioned paraffin removal cycle prediction method for oil production wells.

[0100] Embodiment 4

[0101] Corresponding to the above method embodiments, the embodiments of the present disclosure further provide a storage medium. A storage medium described below can be correspondingly referred to the paraffin removal cycle prediction method for oil production wells described above.

[0102] A storage medium stores a computer program. When the computer program is executed by a processor, the steps of the paraffin removal cycle prediction method in the above method embodiments are implemented.

[0103] Specifically, the storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disc, etc., which are various storage media that can store program codes.

[0104] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting the paraffin removal cycle of an oil production well, characterized in that, it includes: Obtain the influencing factors of the paraffin removal cycle, where the influencing factors include at least three factor sets, and each factor set includes at least three factors; Determine the paraffin removal cycle prediction value corresponding to each factor set according to the value of each factor in each factor set, and assign a weight coefficient to each factor; Calculate the paraffin removal cycle according to the paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor.

2. The method for predicting the paraffin removal cycle of an oil production well according to claim 1, characterized in that, Obtaining the influencing factors of the paraffin removal cycle includes: Obtain the influencing factors of the paraffin removal cycle, where the influencing factors include reservoir factors, wellbore factors and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient and wax content in crude oil. The wellbore factors include pump setting depth, maximum load and alternating load. The economic factors include the previous paraffin removal cycle, the current production days and the paraffin removal cost.

3. The method for predicting the paraffin removal cycle of an oil production well according to claim 1, characterized in that, Determining the paraffin removal cycle prediction value corresponding to each factor set according to the value of each factor in each factor set, and assigning a weight coefficient to each factor, includes: Obtain the paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor. The paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor are all uploaded by the staff.

4. The method for predicting the paraffin removal cycle of an oil production well according to claim 1, characterized in that, Calculating the paraffin removal cycle according to the paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor, includes: Construct formula (1), and calculate the paraffin removal cycle through formula (1), the paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor. The formula (1) is: T = V i ·R ij (1) In formula (1), T is the wax removal period, V i is the predicted value of the wax removal period corresponding to each of the said factor sets, R ij is the weight coefficient corresponding to each of the said factors.

5. An apparatus for predicting the paraffin removal cycle of an oil production well, characterized in that, it includes: An acquisition module for acquiring the influencing factors of the paraffin removal cycle, where the influencing factors include at least three factor sets, and each factor set includes at least three factors; A determination module for determining the paraffin removal cycle prediction value corresponding to each factor set according to the value of each factor in each factor set, and assigning a weight coefficient to each factor; A calculation module for calculating the paraffin removal cycle according to the paraffin removal cycle prediction value corresponding to each factor set and the weight coefficient corresponding to each factor.

6. The apparatus for predicting the paraffin removal cycle of an oil production well according to claim 5, characterized in that, The acquisition module includes: A first acquisition unit for acquiring the influencing factors of the paraffin removal cycle, where the influencing factors include reservoir factors, wellbore factors and economic factors. The reservoir factors include reservoir burial depth, geothermal gradient and wax content in crude oil. The wellbore factors include pump setting depth, maximum load and alternating load. The economic factors include the previous paraffin removal cycle, the current production days and the paraffin removal cost.

7. The apparatus for predicting the paraffin removal cycle of an oil production well according to claim 5, characterized in that, The determination module includes: A second acquisition unit, configured to acquire a paraffin removal cycle prediction value corresponding to each of the factor sets and a weight coefficient corresponding to each of the factors, where the paraffin removal cycle prediction value corresponding to each of the factor sets and the weight coefficient corresponding to each of the factors are uploaded by a staff member.

8. The paraffin removal cycle prediction device for an oil production well according to claim 5, wherein: The calculation module includes: A calculation unit, configured to construct formula (1), and calculate the paraffin removal cycle through formula (1), the paraffin removal cycle prediction value corresponding to each of the factor sets, and the weight coefficient corresponding to each of the factors. Formula (1) is: T = V i ·R ij (1) In formula (1), T is the wax removal period, V i is the predicted value of the wax removal period corresponding to each of the said factor sets, R ij is the weight coefficient corresponding to each of the said factors.

9. A paraffin removal cycle prediction device for an oil production well, wherein: It includes: A memory, configured to store a computer program; A processor, configured to implement the steps of the paraffin removal cycle prediction method for an oil production well according to any one of claims 1 to 4 when executing the computer program.

10. A storage medium, wherein: A computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the paraffin removal cycle prediction method for an oil production well according to any one of claims 1 to 4 are implemented.

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