Method and device for optimizing shale gas well plunger process system

Abstract

The invention discloses an optimization method and device for a shale gas well plunger process system, and relates to the technical field of oil and gas production engineering in the petroleum industry, and the method comprises the steps: obtaining real-time state information, plunger process system information, production oil pressure and plunger lifting information of each shale gas well in a plunger process shale gas well group; according to the real-time state information of each shale gas well and the plunger process system information, state information of each shale gas well in a preset time period is predicted; classifying the shale gas wells according to the production oil pressure; according to the classification result and the prediction state information of each shale gas well, the plunger process system information of each shale gas well is optimized for the first time; and according to the plunger lifting information of each shale gas well, the plunger process system information of each shale gas well is optimized for the second time. According to the method, the accuracy and timeliness of plunger process system adjustment can be improved while coordinated production of a plurality of shale gas wells is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas production engineering in the petroleum industry, and in particular to a method and a device for optimizing a shale gas well plunger process system. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

[0003] Intelligent gas well exploitation is an inevitable trend for oil and gas field enterprises to improve production and operation efficiency and benefits and achieve low-cost high-quality development. In recent years, the oil industry has been accelerating the construction of intelligent oil and gas fields. With the sharp increase in the number of wells with gas production process measures, the digital transformation of gas production technology and intelligent development are imminent. At present, in the series of gas production process technologies, the plunger process has become the main process for water gas reservoirs and shale gas drainage gas production due to its high degree of automation and the advantages of economy, efficiency and environmental protection. The number of applied wells is increasing.

[0004] The existing shale gas exploitation adopts the platform development mode, that is, the shale gas wells mainly developed by the platform (shale gas well combination) implement the plunger process, in which the plunger controller is the key equipment of the plunger process. A well needs to install a set of plunger controllers for the logical control of the plunger process. The management of the plunger process system of the platform shale gas well is mainly based on manual tracking. By manually analyzing the plunger controller data of each well, the plunger process system of the well is adjusted when abnormal working conditions are found. This method has a low degree of intelligence and cannot ensure the accuracy and timeliness of the adjustment of the plunger process system. In addition, since each well of the platform has an independent plunger controller, the control logic of each plunger controller may be different. Therefore, it is impossible to achieve automatic coordination between multiple plunger controllers on the same platform, and it is impossible to ensure the coordinated production of multiple shale gas wells, which leads to poor production increase effect of shale gas wells. Summary of the invention

[0005] The embodiment of the present invention provides a method for optimizing the plunger process system of a shale gas well, which is used to improve the accuracy and timeliness of the adjustment of the plunger process system while ensuring the coordinated production of multiple shale gas wells, thereby improving the production increase effect of the shale gas well. The method includes:

[0006] Obtaining the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information;

[0007] Determine the predicted status information of each shale gas well within a preset time period based on the real-time status information and plunger process system information of each shale gas well;

[0008] According to the production oil pressure of each shale gas well, the average oil pressure of the plunger technology shale gas well group is calculated;

[0009] Classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well;

[0010] According to the classification results and the predicted state information of each shale gas well, the plunger process system information of each shale gas well is optimized to obtain the first optimized plunger process system information of each shale gas well;

[0011] According to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, the first optimized plunger process system information of each shale gas well is optimized to obtain the second optimized plunger process system information of each shale gas well.

[0012] The embodiment of the present invention also provides a device for optimizing the plunger process system of a shale gas well, which is used to improve the accuracy and timeliness of the adjustment of the plunger process system while ensuring the coordinated production of multiple shale gas wells, thereby improving the production increase effect of the shale gas well. The device includes:

[0013] A data acquisition module is used to acquire the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information;

[0014] A prediction module, used to determine the predicted status information of each shale gas well within a preset time period according to the real-time status information and plunger process system information of each shale gas well;

[0015] A calculation module, used for calculating the average oil pressure of the plunger process shale gas well group according to the production oil pressure of each shale gas well;

[0016] A classification module, used for classifying the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well;

[0017] A first optimization module is used to optimize the plunger process system information of each shale gas well according to the classification result and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process system information of each shale gas well;

[0018] The second optimization module is used to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, and obtain the second optimized plunger process system information of each shale gas well.

[0019] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for optimizing the shale gas well plunger process system when executing the computer program.

[0020] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing the above-mentioned shale gas well plunger process system is implemented.

[0021] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the optimization method of the shale gas well plunger process system is implemented.

[0022] In the embodiment of the present invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, the plunger process system information, the production oil pressure and the plunger lifting information; the plunger lifting information includes: the oil casing pressure difference before well opening, the water production pressure difference, the plunger arrival rate, the plunger rising speed and the oil pressure recovery information; according to the real-time status information and the plunger process system information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined; according to the production oil pressure of each shale gas well, the plunger process shale gas well group is calculated. Average oil pressure; classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well; optimize the plunger process system information of each shale gas well according to the classification results and the predicted state information of each shale gas well, and obtain the first optimized plunger process system information of each shale gas well; optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well, and obtain the second optimized plunger process system information of each shale gas well. Compared with the existing technical solutions for optimizing the plunger process system of shale gas wells, the real-time status information, plunger process system information and production oil pressure of each shale gas well in a plunger process shale gas well group are analyzed, and then the plunger process system information of each shale gas well is optimized to ensure the staggered production of each shale gas well in a plunger process shale gas well group; and then combined with the plunger lifting information of each shale gas well, on the basis of the first optimization, the plunger process system of each shale gas well after the first optimization is optimized again, while ensuring the coordinated production of multiple shale gas wells, the accuracy and timeliness of the adjustment of the plunger process system can be improved, thereby improving the production increase effect of shale gas wells. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0024] Figure 1 A structural diagram of an optimization system for a shale gas well plunger process system based on the Internet of Things provided in an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of the connection between the multi-well plunger centralized controller and each shale gas well provided in an embodiment of the present invention;

[0026] Figure 3 This is a device architecture diagram of a multi-well plunger centralized controller provided in an embodiment of the present invention;

[0027] Figure 4 A flowchart of a method for optimizing a shale gas well plunger process system provided in an embodiment of the present invention;

[0028] Figure 5 An example diagram of a knowledge base for optimizing a plunger process system provided in an embodiment of the present invention;

[0029] Figure 6 A schematic diagram of an optimization device for a shale gas well plunger process system provided in an embodiment of the present invention;

[0030] Figure 7 A schematic diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0032] In the description of this specification, the terms "include", "including", "have", "contain", etc. are all open terms, which mean including but not limited to. The descriptions with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", etc. mean that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. The order of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the order of steps is not limited and can be appropriately adjusted as needed.

[0033] The research found that the existing management and process technology of the platform shale gas well plunger process system have the following problems:

[0034] (1) Plunger process management is mainly based on manual tracking, with a low degree of intelligence, and cannot ensure the accuracy and timeliness of plunger process system adjustments.

[0035] (2) When implementing the plunger process in shale gas wells that are mainly developed on platforms, the following problems exist in the key equipment controllers: First, the plunger controller is the key equipment of the plunger process. The existing plunger process implementation model is one set of plunger controllers for each well, and the implementation cost remains high; second, the quality differences among multiple controllers lead to reduced efficiency in controller troubleshooting and processing, which sometimes affects the process operation efficiency; third, multiple controllers are from different manufacturers or the same manufacturer but with different software versions, and there are differences in data collection content, data format, etc., making unified centralized management and coordination difficult and costly.

[0036] (3) For shale gas wells that are mainly developed on platforms and share a gas pipeline, the compressor has certain requirements for the air intake pressure and volume at the well station where the platform is pressurized. To ensure the smooth operation of the compressor, the platform's plunger process wells need to smoothly coordinate the peak production to reduce the impact of the adjacent wells on the production of the well. However, since the plunger controller installed on each well of the platform has its own control logic, it is impossible to achieve automatic coordination between multiple controllers based on the same platform. Sometimes the timing of the plunger process well switching seriously affects the operation of the compressor and the plunger lifting and drainage of the adjacent wells.

[0037] In response to the above research, an embodiment of the present invention proposes an optimization scheme for the plunger process system of shale gas wells, which can significantly reduce the implementation cost of the plunger process, ensure the smooth and coordinated production of various shale gas wells on the same platform, and at the same time improve the accuracy and timeliness of the adjustment of the plunger process system, thereby improving the production increase effect of shale gas wells and ensuring the safety of gas well information and gas well control.

[0038] like Figure 1 As shown, an optimization system for shale gas well plunger process system based on the Internet of Things is provided for the embodiment of the present invention. The system includes two networks (production network and office network) unique to the oil field industry.

[0039] Specifically, Figure 1 As shown, the production network includes a production data acquisition module, a time series database, a production network server, an expert knowledge base, and a PC terminal (user terminal); the office network includes a time series database, an office network server, an expert knowledge base, and a PC terminal (user terminal); wherein:

[0040] Production data acquisition module: used to collect the operating parameters of the multi-well plunger centralized controller, including the real-time status information of each shale gas well in the same plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information. For example, production oil pressure, production casing pressure, instantaneous production, plunger arrival signal, well opening time, well closing time, well opening time, well closing time, etc.; it is also used to receive plunger process system adjustment instructions issued by the intelligent decision analysis module.

[0041] Time series database: The time series database of the office network is used to manage the operating parameters of the multi-well plunger centralized controller collected by the production data acquisition module, and synchronize data to the time series database of the office network in real time through a one-way network gateway for retrieval and use by the office network server.

[0042] Office network server (production network server): built-in plunger process optimization algorithm, used to identify the operating status of the plunger process well, diagnose abnormal working conditions, and recommend plunger process adjustment system. The production network server is also used to issue plunger process system adjustment instructions.

[0043] Expert knowledge base (plunger process system optimization knowledge base): stores plunger process system information optimization measures corresponding to different plunger lifting conditions. Based on the plunger process system information optimization measures corresponding to different plunger lifting conditions, the system adjustment of the office network server (production network server) is adjusted again to provide the optimal system adjustment instructions. Based on the results before and after optimization of a large number of plunger process well systems, the expert experience model is optimized and improved, the plunger process system optimization knowledge base is upgraded, and the plunger process lifting efficiency is improved; among them, the expert experience model is used to select parameters that can fully reflect the plunger lifting efficiency.

[0044] PC side: The optimization system of shale gas well plunger process system based on the Internet of Things is developed using B / S architecture. Users use a browser to remotely log in to access the server deployed on the production network or office network to achieve the purpose of intelligent management platform plunger process wells.

[0045] In this way, the security issues brought about by the transmission and use of production data on the Internet and mobile Internet can be solved, which not only ensures the information security of production data and the safety of gas well control, but also meets the requirements of scientific researchers and technical managers in the oil field production network and office network for efficient management of gas wells. It greatly improves the management level of plunger process wells, and remotely controls the plunger process of gas wells through the PC, which greatly reduces the process operation and maintenance costs and improves the process production increase effect.

[0046] In addition, in order to realize that a set of plunger controllers can simultaneously control multiple shale gas wells to implement plunger processes, the embodiment of the present invention also provides a "one-to-many control" multi-well plunger centralized controller. Figure 2 FIG. 1 is a schematic diagram showing the connection between the multi-well plunger centralized controller and each shale gas well provided by an embodiment of the present invention. Figure 2 , the plunger controller can be designed to control eight modes (or six modes), that is, one set of controllers can control eight shale gas wells at the same time. Specifically, pneumatic (electric) valves and arrival sensors can be deployed in each shale gas well (1 well to 8 wells).

[0047] like Figure 3 FIG. 1 is a diagram showing the device architecture of a multi-well plunger centralized controller provided by an embodiment of the present invention. Figure 3 In the system, after the power is turned on, the arrival sensor can be used to collect the plunger arrival signal of each shale gas well, the state quantity corresponding to the plunger process system, etc. Figure 3 The multi-well plunger centralized controller is also equipped with 1 communication interface RS485 and 1 communication interface RJ45. RS485 communicates with the on-site pressure sensor to collect pressure data; RJ45 is used to communicate with the on-site intranet gateway, and integrates the http protocol to match the intranet transmission requirements. The multi-well plunger centralized controller transmits the collected data (operating parameters) to the background monitoring system (i.e., the production data acquisition module of the shale gas well plunger process optimization system) through the intranet; the background monitoring system outputs a valve opening signal or a valve closing signal to the multi-well plunger centralized controller to drive the pneumatic valve or electric valve of each shale gas well; a display screen can also be configured to display operating parameters and set system parameters, etc.

[0048] In this way, the above-mentioned multi-well plunger centralized controller not only solves the problems of difficult and high cost of centralized and unified management caused by installing multiple plunger controllers on a platform at the same time, but also greatly improves the stability of platform well production and the production increase effect of the plunger process.

[0049] Figure 4 A flowchart of a method for optimizing a shale gas well plunger process system provided by an embodiment of the present invention. The method may include the following steps:

[0050] Step 401, obtaining the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information;

[0051] Step 402, determining predicted status information of each shale gas well within a preset time period according to the real-time status information and plunger process system information of each shale gas well;

[0052] Step 403, calculating the average oil pressure of the plunger process shale gas well group according to the production oil pressure of each shale gas well;

[0053] Step 404, classifying the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well;

[0054] Step 405, optimizing the plunger process system information of each shale gas well according to the classification result and the predicted state information of each shale gas well, and obtaining the first optimized plunger process system information of each shale gas well;

[0055] Step 406, based on the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, the first optimized plunger process system information of each shale gas well is optimized to obtain the second optimized plunger process system information of each shale gas well.

[0056] In the embodiment of the present invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, the plunger process system information, the production oil pressure and the plunger lifting information; the plunger lifting information includes: the oil casing pressure difference before well opening, the water production pressure difference, the plunger arrival rate, the plunger rising speed and the oil pressure recovery information; according to the real-time status information and the plunger process system information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined; according to the production oil pressure of each shale gas well, the plunger process shale gas well group is calculated. Average oil pressure; classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well; optimize the plunger process system information of each shale gas well according to the classification results and the predicted state information of each shale gas well, and obtain the first optimized plunger process system information of each shale gas well; optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well, and obtain the second optimized plunger process system information of each shale gas well. Compared with the existing technical solutions for optimizing the plunger process system of shale gas wells, the real-time status information, plunger process system information and production oil pressure of each shale gas well in a plunger process shale gas well group are analyzed, and then the plunger process system information of each shale gas well is optimized to ensure the staggered production of each shale gas well in a plunger process shale gas well group; and then combined with the plunger lifting information of each shale gas well, on the basis of the first optimization, the plunger process system of each shale gas well after the first optimization is optimized again, while ensuring the coordinated production of multiple shale gas wells, the accuracy and timeliness of the adjustment of the plunger process system can be improved, thereby improving the production increase effect of shale gas wells.

[0057] Combine the following Figure 1 , Figure 2 and Figure 3 right Figure 4 The optimization method of the plunger process system in shale gas wells is described in detail.

[0058] It should be noted that, first Figure 2 and Figure 3 Set up a multi-well plunger centralized controller and Figure 1 The system establishes a connection, Figure 1The production data acquisition module obtains the operating parameters from the multi-well plunger centralized controller and stores the operating parameters in a time series database; Figure 4 The optimization method of the shale gas well plunger process system shown can be applied to Figure 1 The production network server or office network server in the system.

[0059] During the implementation of the plunger process on the shale gas platform, sometimes all the gas wells on the platform are not constructed at the same time. For example, the platform currently has 6 wells, of which only 4 wells have been installed with the plunger process and the plunger lifting process has been implemented. Therefore, before implementing step 401, it is first necessary to automatically divide all the shale gas wells on the platform into a plunger process shale gas well group and a non-plunger process shale gas well group according to the gas well labels.

[0060] Then, in step 401, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group can be obtained from the time series database; the operating parameters may include the real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information.

[0061] In one embodiment, real-time status information includes well opening status or well closing status; plunger process system information includes well opening duration, well closing duration, well opening time and well closing time; plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information.

[0062] in:

[0063] Real-time status information may refer to the status information of each shale gas well at the current moment.

[0064] The plunger process system information may refer to the system information of the plunger process implemented by each shale gas well at the current moment, which corresponds to the status information at the current moment.

[0065] The plunger lift information may refer to parameters that can fully reflect the plunger lift efficiency, which can be selected through an expert experience model. The plunger lift information may include the oil-casing pressure difference before well opening, the water production pressure difference, the plunger arrival rate, the plunger rise speed and the oil pressure recovery information:

[0066] The oil-casing pressure difference before well opening can be: the difference between the casing pressure collected 5 minutes before well opening (can be set according to specific circumstances) and the production oil pressure; it can also be the difference between the maximum casing pressure collected on the day and the maximum production oil pressure; the larger the value of the oil-casing pressure difference before well opening, the more liquid accumulation there is, and the higher the risk of gas well flooding;

[0067] The water production pressure difference can be: the difference between the production oil pressure collected when the plunger reaches the wellhead and the production oil pressure 5 minutes before the plunger arrives (which can be set according to specific circumstances). The larger the value of the water production pressure difference, the better the plunger's liquid-carrying effect is and the more stable the plunger's operation is.

[0068] The plunger arrival rate can be: the average number of times the plunger reaches the wellhead in multiple cycles (e.g., the number of times the plunger reaches the wellhead every 10 cycles / 10 is the plunger arrival rate). The higher the plunger arrival rate, the more stable the plunger operation.

[0069] The plunger rising speed can be: the average rising speed of the plunger when it reaches the wellhead after the well is opened. When the plunger rising speed is 200m / min to 350m / min, it means that the plunger has the highest liquid carrying rate; when the plunger rising speed is greater than 350m / min, it means that there is a wellhead safety risk; when the plunger rising speed is less than 200m / min, it means that there is a flooding risk;

[0070] The oil pressure recovery information may include: whether the oil-casing pressure difference increases before well opening, whether the gas production and water production drop suddenly, and whether the oil pressure recovery before well closing is slow; whether the oil-casing pressure difference increases before well opening may refer to whether the oil-casing pressure difference before well opening in the current cycle is compared with the oil-casing pressure difference before well opening in the previous cycles to see whether it continues to increase, or whether the oil-casing pressure difference before well opening every day continues to increase compared with the previous few days; whether the gas production and water production drop suddenly may refer to whether the gas production of the day drops suddenly compared with the gas production of the previous day, and whether the water production of the day drops suddenly compared with the water production of the previous day (for example, if the decrease in the gas production and the gas production of the day exceeds 10%, it is considered to be a sudden drop); whether the oil pressure recovery before well closing is slow may refer to whether the collected production oil pressure before well closing is within 0.3Mpa (which can be set according to the specific situation). If so, it means that the oil pressure recovery before well closing is slow.

[0071] In step 402, based on the real-time status information and plunger process system information of each shale gas well acquired in step 401, the predicted status information of each shale gas well within a preset time period is determined.

[0072] In specific implementation, the current time can be used as the starting time, and a preset time period (such as 10 minutes later) can be set. According to the real-time status information and plunger process system information of each shale gas well, the predicted status information of the shale gas well in the next 10 minutes can be predicted.

[0073] For example, the current time is 11:00, and the plunger process system information of a shale gas well includes opening time 10:30, opening duration 60 minutes, closing time 11:30, closing duration 60 minutes; based on this information, it can be predicted that the predicted status information of the shale gas well will be the opening status in 10 minutes.

[0074] In step 403, the average oil pressure of the plunger process shale gas well group can be calculated according to the production oil pressure of each shale gas well.

[0075] In specific implementation, the average oil pressure of the shale gas well group using the plunger technology is calculated according to the following formula:

[0076]

[0077] in, is the average oil pressure, unit: MPa; p1, p2, ..., p n is the production oil pressure of each shale gas well, in MPa; n is the total number of shale gas wells in the plunger process.

[0078] In step 404, the shale gas wells in the plunger process shale gas well group may be classified according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well.

[0079] In one embodiment, the above step 404 may specifically include:

[0080] The production oil pressure of each shale gas well is compared with the average oil pressure of the group of shale gas wells using the plunger process;

[0081] If the production oil pressure of the shale gas well is less than the average oil pressure of the shale gas well group using the plunger technology, the shale gas well is classified as the first gas well group;

[0082] If the production oil pressure of the shale gas well is greater than or equal to the average oil pressure of the plunger process shale gas well group, the shale gas well is classified as the second gas well group.

[0083] In specific implementation, the average oil pressure As the baseline, the production oil pressure of each shale gas well is i and In contrast, the production of oil pressure i Less than average oil pressure The shale gas wells are classified into a gas well group with lower production pressure (i.e., the first gas well group), and the production oil pressure p i Greater than or equal to average oil pressure The shale gas wells are classified into a gas well group with higher production pressure (i.e., the second gas well group).

[0084] In step 405, the plunger process system information of each shale gas well can be optimized according to the classification result of step 404 and the predicted state information of each shale gas well to obtain the first optimized plunger process system information of each shale gas well.

[0085] In one embodiment, the above step 405 may specifically include:

[0086] When the predicted state information of each shale gas well in the plunger process shale gas well group is a shut-in state, the well opening time in the plunger process system information of each shale gas well in the second gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well;

[0087] When the predicted status information of each shale gas well in the plunger process shale gas well group is an open well status, the shut-in time in the plunger process system information of each shale gas well in the first gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well.

[0088] In specific implementation, when the predicted status information of each shale gas well is in the shut-in state, the duration corresponding to the above-mentioned preset time period is used as the standard, and each shale gas well in the gas well group with higher production pressure (the second gas well group) is shut down by a delay of the duration corresponding to the preset time period when the well is about to be shut down. At this time, based on the plunger process system information, in the plunger process system information of each shale gas well in the next cycle (the first optimized plunger process system information), the shut-in time is delayed by the duration corresponding to the preset time period on the original basis, and the opening time is increased by the duration corresponding to the preset time period. For example, the duration corresponding to the preset time period is 10 minutes, and the real-time plunger process system of a shale gas well is: the opening time is 60 minutes, and the closing time is 60 minutes. After adjustment, it is: the opening time is 70 minutes, and the closing time is 60 minutes.

[0089] In specific implementation, when the predicted state information of each shale gas well is the well opening state, the time length corresponding to the above-mentioned preset time period is used as the standard, and each shale gas well in the gas well group with lower production pressure (the first gas well group) is delayed from the time length corresponding to the preset time period when the well is about to be opened. At this time, based on the plunger process system information, in the plunger process system information of the next cycle of each shale gas well (the first optimized plunger process system information), the well opening time is delayed by the time length corresponding to the preset time period on the original basis, and the well closing time is increased by the time length corresponding to the preset time period. For example, the time length corresponding to the preset time period is 10 minutes, and the real-time plunger process system of a shale gas well is: well opening time 60 minutes, well closing time 60 minutes, and after adjustment, it is: well opening time 60 minutes, well closing time 70 minutes.

[0090] In this way, by optimizing the plunger process system of the shale gas well for the first time in step 405, it is possible to ensure that the shale gas wells in a plunger process shale gas well group have staggered production, thereby ensuring the production coordination among multiple shale gas wells.

[0091] In the embodiment of the present invention, while ensuring the staggered production of each shale gas well in a plunger process shale gas well group, it is also necessary to ensure the optimal operation of the plunger process well system and the lifting efficiency of the plunger process. The optimized plunger process system of each shale gas well obtained according to step 405 may sometimes lead to a decrease in the plunger lifting efficiency, and may even cause flooding in severe cases. Therefore, each well in the plunger process shale gas well group also needs to execute the intelligent diagnosis process.

[0092] Specifically, in step 406, the first optimized plunger process system information of each shale gas well can be optimized according to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, so as to obtain the second optimized plunger process system information of each shale gas well.

[0093] In one embodiment, step 406 may specifically include:

[0094] The preset plunger process system optimization knowledge base is called to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed, whether the oil-casing pressure difference before well opening increases, whether the gas production and water production drop suddenly, and whether the oil pressure recovery before well closing is slow, so as to obtain the second optimized plunger process system information of each shale gas well; the plunger process system optimization knowledge base includes plunger process system information optimization measures corresponding to different plunger lifting information.

[0095] During the specific implementation, according to the expert experience model, the following parameters that can fully reflect the plunger lifting efficiency are selected for process diagnosis, that is, according to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information before well opening of each shale gas well, combined with the recommended optimization information of the plunger process system optimization knowledge base, the first optimized plunger process system information of each shale gas well is optimized for the second time to obtain the second optimized plunger process system information of each shale gas well.

[0096] For example, Figure 5 This is an example diagram of the plunger process optimization knowledge base provided by the embodiment of the present invention. Figure 5 The parameters of each shale gas well are analyzed: oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed, whether the oil-casing pressure difference increases before well opening, whether the gas production and water production drop suddenly, and whether the oil pressure recovers slowly before well closing. The analysis rules are as follows:

[0097] If the oil casing pressure difference before well opening is not greater than 0.3MPa or the water production pressure difference is not less than 0.3MPa, and the plunger arrival rate is less than 0.8, the plunger operation tends to be stable and there is no need to optimize the first optimization plunger process system information.

[0098] If the oil-casing pressure difference before opening the well is not greater than 0.3MPa or the water production pressure difference is not less than 0.3MPa, and the plunger arrival rate is not less than 0.8, and the plunger rising speed is greater than 350m / min, if the opening time and shut-in time in the first optimized plunger process system information are greater than 300min, the opening time will be extended by 10% to 20% of the original, and the shut-in time will be extended by 10% to 20% of the original; if the opening time and shut-in time are not greater than 300min, the opening time will be extended by 5 to 20min, and the shut-in time will be extended by 5 to 20min.

[0099] If the oil-casing pressure difference before opening the well is not greater than 0.3MPa or the water production pressure difference is not less than 0.3MPa, and the plunger arrival rate is not less than 0.8, and the plunger rising speed is not greater than 350m / min, if the opening time and shut-in time in the first optimized plunger process system information are greater than 300min, the opening time will be extended by 10% to 20% of the original, and the shut-in time will remain unchanged; if the opening time and shut-in time are not greater than 300min, the opening time will be extended by 5 to 20min, and the shut-in time will remain unchanged.

[0100] If the oil-casing pressure difference before opening the well is greater than 0.3MPa, and the water production pressure difference is less than 0.3MPa, and the oil-casing pressure difference before opening the well increases or the gas production and water production drop sharply, and the plunger rising speed is less than 200m / min or the oil pressure recovers slowly before shutting in the well, if the opening time and shut-in time in the first optimized plunger process system information are greater than 300min, the opening time will be shortened by 10% to 20% of the original, and the shut-in time will be extended by 10% to 20% of the original; if the opening time and shut-in time are not greater than 300min, the opening time will be shortened by 5 to 20min, and the shut-in time will be extended by 5 to 20min.

[0101] If the oil-casing pressure difference before opening the well is greater than 0.3MPa, and the water production pressure difference is less than 0.3MPa, and the oil-casing pressure difference before opening the well increases or the gas production and water production drop sharply, and the plunger rising speed is not less than 200m / min, and the oil pressure recovery before shutting in is not slow (returns to normal), if the well opening time and shut-in time in the first optimized plunger process system information are greater than 300min, the well opening time will be shortened by 10% to 20% of the original, and the shut-in time will remain unchanged; if the well opening time and shut-in time are not greater than 300min, the well opening time will be shortened by 5 to 20min, and the shut-in time will remain unchanged.

[0102] If the oil-casing pressure difference before well opening is greater than 0.3MPa, and the water production pressure difference is less than 0.3MPa, and the oil-casing pressure difference before well opening does not increase, and the gas production and water production do not drop sharply, the plunger operation tends to be stable, and there is no need to optimize the first optimization plunger process system information.

[0103] In this way, through the preset plunger process system optimization knowledge base, the oil-casing pressure difference before opening the well, the water production pressure difference, the plunger arrival rate, the plunger rising speed, whether the oil-casing pressure difference before opening the well increases, whether the gas production and water production drop sharply, and whether the oil pressure recovery before shutting in are analyzed for each shale gas well. This can ensure the coordinated production of each shale gas well in a plunger process shale gas well group while improving the accuracy and timeliness of the adjustment of the plunger process system, ensuring the optimal operation of the plunger process well system, thereby improving the lifting efficiency of the plunger process and ensuring the production increase effect of shale gas wells.

[0104] In the embodiment of the present invention, the following may also be included:

[0105] After each shale gas well is optimized for the second time, a preset period (such as 10 minutes) may be set, that is, the optimization process of the plunger process system from step 401 to step 406 is periodically repeated to continue optimizing the second optimized plunger process system information.

[0106] In this way, the problem of poor coordination of the plunger process operation systems of various shale gas wells, which leads to increased gas well maintenance costs and high and low compressor air intake and large fluctuations, can be solved, ensuring coordinated and stable production of various shale gas wells and ensuring the best plunger process effect.

[0107] The present invention also provides an optimization device for the plunger process system of a shale gas well, as described in the following embodiments. Since the principle of the device to solve the problem is similar to the optimization method of the plunger process system of a shale gas well, the implementation of the device can refer to the implementation of the optimization method of the plunger process system of a shale gas well, and the repeated parts will not be repeated.

[0108] like Figure 6 FIG. 1 is a schematic diagram of a device for optimizing a shale gas well plunger process system provided by an embodiment of the present invention. The device can be applied to Figure 1 The production network server or office network server in the system. The device may include:

[0109] The data acquisition module 601 is used to obtain the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information;

[0110] Prediction module 602, used to determine predicted status information of each shale gas well within a preset time period according to the real-time status information and plunger process system information of each shale gas well;

[0111] A calculation module 603 is used to calculate the average oil pressure of the plunger process shale gas well group according to the production oil pressure of each shale gas well;

[0112] A classification module 604 is used to classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well;

[0113] The first optimization module 605 is used to optimize the plunger process system information of each shale gas well according to the classification result and the predicted state information of each shale gas well, and obtain the first optimized plunger process system information of each shale gas well;

[0114] The second optimization module 606 is used to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information before well opening of each shale gas well, and obtain the second optimized plunger process system information of each shale gas well.

[0115] In one embodiment, the real-time status information may include an open well status or a closed well status;

[0116] The plunger process system information may include: well opening duration, well closing duration, well opening time and well closing time.

[0117] In one embodiment, the classification module may be specifically used to:

[0118] The production oil pressure of each shale gas well is compared with the average oil pressure of the group of shale gas wells using the plunger process;

[0119] If the production oil pressure of the shale gas well is less than the average oil pressure of the shale gas well group using the plunger technology, the shale gas well is classified as the first gas well group;

[0120] If the production oil pressure of the shale gas well is greater than or equal to the average oil pressure of the plunger process shale gas well group, the shale gas well is classified as the second gas well group.

[0121] In one embodiment, the first optimization module may be specifically used to:

[0122] When the predicted state information of each shale gas well in the plunger process shale gas well group is a shut-in state, the well opening time in the plunger process system information of each shale gas well in the second gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well;

[0123] When the predicted status information of each shale gas well in the plunger process shale gas well group is an open well status, the shut-in time in the plunger process system information of each shale gas well in the first gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well.

[0124] In one embodiment, the oil pressure recovery information may include: whether the oil-casing pressure difference increases before opening the well, whether the gas production and water production drop suddenly, and whether the oil pressure recovers slowly before closing the well.

[0125] In one embodiment, the second optimization module may be specifically used to:

[0126] The preset plunger process system optimization knowledge base is called to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed, whether the oil-casing pressure difference before well opening increases, whether the gas production and water production drop suddenly, and whether the oil pressure recovery before well closing is slow, so as to obtain the second optimized plunger process system information of each shale gas well; the plunger process system optimization knowledge base includes plunger process system information optimization measures corresponding to different plunger lifting information.

[0127] The embodiment of the present invention also provides a computer device, such as Figure 7 As shown, it is a schematic diagram of a computer device in an embodiment of the present invention. The computer device 700 includes a memory 710, a processor 720, and a computer program 730 stored in the memory 710 and executable on the processor 720. When the processor 720 executes the computer program 730, the above-mentioned method for optimizing the shale gas well plunger process system is implemented.

[0128] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing the above-mentioned shale gas well plunger process system is implemented.

[0129] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the optimization method of the shale gas well plunger process system is implemented.

[0130] In the embodiment of the present invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained; the operating parameters include the real-time status information of each shale gas well in the plunger process shale gas well group, the plunger process system information, the production oil pressure and the plunger lifting information; the plunger lifting information includes: the oil casing pressure difference before well opening, the water production pressure difference, the plunger arrival rate, the plunger rising speed and the oil pressure recovery information; according to the real-time status information and the plunger process system information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined; according to the production oil pressure of each shale gas well, the plunger process shale gas well group is calculated. Average oil pressure; classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well; optimize the plunger process system information of each shale gas well according to the classification results and the predicted state information of each shale gas well, and obtain the first optimized plunger process system information of each shale gas well; optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well, and obtain the second optimized plunger process system information of each shale gas well. Compared with the existing technical solutions for optimizing the plunger process system of shale gas wells, the real-time status information, plunger process system information and production oil pressure of each shale gas well in a plunger process shale gas well group are analyzed, and then the plunger process system information of each shale gas well is optimized to ensure the staggered production of each shale gas well in a plunger process shale gas well group; and then combined with the plunger lifting information of each shale gas well, on the basis of the first optimization, the plunger process system of each shale gas well after the first optimization is optimized again, while ensuring the coordinated production of multiple shale gas wells, the accuracy and timeliness of the adjustment of the plunger process system can be improved, thereby improving the production increase effect of shale gas wells.

[0131] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 processes in the flowchart and / or block diagram. 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.

[0133] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0135] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing the plunger process system of a shale gas well, characterized in that: include: Obtaining the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; The operating parameters include real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lift information; The plunger lifting information includes: oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information; Determine the predicted status information of each shale gas well within a preset time period based on the real-time status information and plunger process system information of each shale gas well; According to the production oil pressure of each shale gas well, the average oil pressure of the plunger technology shale gas well group is calculated; Classify the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well; According to the classification results and the predicted state information of each shale gas well, the plunger process system information of each shale gas well is optimized to obtain the first optimized plunger process system information of each shale gas well; According to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, the first optimized plunger process system information of each shale gas well is optimized to obtain the second optimized plunger process system information of each shale gas well.

2. The method according to claim 1, characterized in that Real-time status information includes well opening or well closing status; The plunger process system information includes: well opening time, well closing time, well opening time and well closing time.

3. The method according to claim 1, characterized in that According to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well, the shale gas wells in the plunger process shale gas well group are classified, including: The production oil pressure of each shale gas well is compared with the average oil pressure of the group of shale gas wells using the plunger process; If the production oil pressure of the shale gas well is less than the average oil pressure of the shale gas well group using the plunger technology, the shale gas well is classified as the first gas well group; If the production oil pressure of the shale gas well is greater than or equal to the average oil pressure of the plunger process shale gas well group, the shale gas well is classified as the second gas well group.

4. The method according to claim 3, characterized in that According to the classification results and the predicted state information of each shale gas well, the plunger process system information of each shale gas well is optimized to obtain the first optimized plunger process system information of each shale gas well, including: When the predicted state information of each shale gas well in the plunger process shale gas well group is a shut-in state, the well opening time in the plunger process system information of each shale gas well in the second gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well; When the predicted status information of each shale gas well in the plunger process shale gas well group is an open well status, the shut-in time in the plunger process system information of each shale gas well in the first gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well.

5. The method according to claim 1, characterized in that The oil pressure recovery information includes: whether the oil-casing pressure difference increases before opening the well, whether the gas production and water production drop suddenly, and whether the oil pressure recovers slowly before closing the well.

6. The method according to claim 5, characterized in that According to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, the first optimized plunger process system information of each shale gas well is optimized to obtain the second optimized plunger process system information of each shale gas well, including: The preset plunger process system optimization knowledge base is called to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed, whether the oil-casing pressure difference before well opening increases, whether the gas production and water production drop suddenly, and whether the oil pressure recovery before well closing is slow, so as to obtain the second optimized plunger process system information of each shale gas well; the plunger process system optimization knowledge base includes plunger process system information optimization measures corresponding to different plunger lifting information.

7. An optimization device for a shale gas well plunger process system, characterized in that: include: A data acquisition module, used to obtain the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group; The operating parameters include real-time status information of each shale gas well in the plunger process shale gas well group, plunger process system information, production oil pressure and plunger lift information; The plunger lifting information includes: oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information; A prediction module, used to determine the predicted status information of each shale gas well within a preset time period according to the real-time status information and plunger process system information of each shale gas well; A calculation module, used for calculating the average oil pressure of the plunger process shale gas well group according to the production oil pressure of each shale gas well; A classification module, used for classifying the shale gas wells in the plunger process shale gas well group according to the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well; A first optimization module is used to optimize the plunger process system information of each shale gas well according to the classification result and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process system information of each shale gas well; The second optimization module is used to optimize the first optimized plunger process system information of each shale gas well according to the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rising speed and oil pressure recovery information of each shale gas well before well opening, and obtain the second optimized plunger process system information of each shale gas well.

8. The device according to claim 7, characterized in that Real-time status information includes well opening or well closing status; The plunger process system information includes: well opening time, well closing time, well opening time and well closing time.

9. The device according to claim 7, characterized in that Classification module, specifically used for: The production oil pressure of each shale gas well is compared with the average oil pressure of the group of shale gas wells using the plunger process; If the production oil pressure of the shale gas well is less than the average oil pressure of the shale gas well group using the plunger technology, the shale gas well is classified as the first gas well group; If the production oil pressure of the shale gas well is greater than or equal to the average oil pressure of the plunger process shale gas well group, the shale gas well is classified as the second gas well group.

10. The device according to claim 9, characterized in that The first optimization module is specifically used for: When the predicted state information of each shale gas well in the plunger process shale gas well group is a shut-in state, the well opening time in the plunger process system information of each shale gas well in the second gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well; When the predicted status information of each shale gas well in the plunger process shale gas well group is an open well status, the shut-in time in the plunger process system information of each shale gas well in the first gas well group is increased by the time corresponding to the preset time period to obtain the first optimized plunger process system information of each shale gas well.

11. The device according to claim 7, characterized in that The oil pressure recovery information includes: whether the oil-casing pressure difference increases before opening the well, whether the gas production and water production drop suddenly, and whether the oil pressure recovers slowly before closing the well.

12. The device according to claim 11, characterized in that The second optimization module is specifically used for: Calling the preset plunger process system optimization knowledge base, according to the oil-casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rising speed, whether the oil-casing pressure difference before well opening increases, whether the gas production and water production drop suddenly, and whether the oil pressure recovery before well closing is slow, the first optimized plunger process system information of each shale gas well is optimized to obtain the second optimized plunger process system information of each shale gas well; The plunger process system optimization knowledge base includes plunger process system information optimization measures corresponding to different plunger lifting information.

13. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

15. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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