Method and device for optimizing plunger process regime in shale gas well

Abstract

The application discloses a shale gas well plunger process system optimization method and device, and relates to the technical field of oil and gas production engineering in the petroleum industry, wherein the method comprises the following 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; predicting state information of each shale gas well in a preset time period according to the real-time state information and the plunger process system information of each shale gas well; classifying the shale gas wells according to the production oil pressure; performing first optimization on 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 performing second optimization on the plunger process system information of each shale gas well according to the plunger lifting information of each shale gas well. The application can ensure the coordinated production of multiple shale gas wells, and improve the accuracy and timeliness of plunger process system adjustment.

Description

Technical Field

[0001] This invention relates to the field of oil and gas production engineering technology in the petroleum industry, and in particular to an optimization method and apparatus for the plunger process of shale gas wells. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] Intelligent gas well production is an inevitable trend for oil and gas field enterprises to improve production and operation efficiency and achieve low-cost, high-quality development. In recent years, the petroleum industry has been accelerating the construction of intelligent oil and gas fields. With the rapid increase in the number of wells using gas production technology, the digital transformation and intelligent development of gas production processes have become urgent. Currently, among gas production technology series, the plunger process has become the main technology for drainage gas production in water-bearing gas reservoirs and shale gas reservoirs due to its high degree of automation and its advantages of economy, efficiency, and environmental protection. The number of wells using this technology is constantly increasing.

[0004] Current shale gas extraction adopts a platform development model, which primarily involves developing shale gas wells using a platform (a combination of shale gas wells) and implementing plunger technology. The plunger controller is a key piece of equipment in this process; each well requires one plunger controller for logic control. Management of the plunger technology system for platform shale gas wells is mainly based on manual tracking. This involves manually analyzing the plunger controller data for each well and adjusting the plunger technology system when abnormal conditions are detected. This method has low levels of automation and cannot ensure the accuracy and timeliness of plunger technology system adjustments. Furthermore, since each well on the platform has an independent plunger controller, and the control logic of each controller may differ, automatic coordination between multiple plunger controllers on the same platform cannot be achieved. This fails to ensure coordinated production from multiple shale gas wells, resulting in poor shale gas well production enhancement. Summary of the Invention

[0005] This invention provides an optimization method for the plunger process regime in shale gas wells, which improves the accuracy and timeliness of plunger process regime adjustments while ensuring coordinated production from multiple shale gas wells, thereby enhancing the production increase effect of shale gas wells. The method includes:

[0006] 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: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information.

[0007] Based on the real-time status information and 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.

[0008] Calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well.

[0009] Based on 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.

[0010] Based on the classification results and the predicted status information of each shale gas well, the plunger process regime information of each shale gas well is optimized to obtain the first optimized plunger process regime information of each shale gas well.

[0011] Based on the pre-well opening information of oil casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery of each shale gas well, the first optimized plunger process regime information of each shale gas well is optimized to obtain the second optimized plunger process regime information of each shale gas well.

[0012] This invention also provides an optimization device for the plunger process regime of shale gas wells, which improves the accuracy and timeliness of plunger process regime adjustments while ensuring coordinated production from multiple shale gas wells, thereby enhancing the production increase effect of shale gas wells. The device includes:

[0013] The 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, the plunger process system information, the production oil pressure and the plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information;

[0014] The prediction module is used to 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.

[0015] The calculation module is used to calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well.

[0016] The classification module is used to classify shale gas wells in the plunger process shale gas well group based on the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well.

[0017] The first optimization module is used to optimize the plunger process regime information of each shale gas well based on the classification results and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process regime information of each shale gas well.

[0018] The second optimization module is used to optimize the first optimized plunger process regime information of each shale gas well based on the pre-well opening oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information, so as to obtain the second optimized plunger process regime information of each shale gas well.

[0019] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned optimization method for the shale gas well plunger process.

[0020] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described optimization method for the shale gas well plunger process.

[0021] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described optimization method for the shale gas well plunger process.

[0022] In this embodiment of the invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained. These operating parameters include real-time status information, plunger process regime information, production oil pressure, and plunger lift information for each shale gas well in the plunger process shale gas well group. The plunger lift information includes: pre-well opening oil-casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise speed, and oil pressure recovery information. Based on the real-time status information and plunger process regime information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined. Based on the production oil pressure of each shale gas well, the operating parameters of the plunger process shale gas well group are calculated. Average oil pressure; based on the average oil pressure of the shale gas well group using the plunger process and the production oil pressure of each shale gas well, the shale gas wells in the plunger process shale gas well group are classified; based on the classification results and the predicted state information of each shale gas well, the plunger process regime information of each shale gas well is optimized to obtain the first optimized plunger process regime information of each shale gas well; based on the pre-opening oil-casing pressure difference, production water pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information of each shale gas well, the first optimized plunger process regime information of each shale gas well is optimized to obtain the second optimized plunger process regime information of each shale gas well. Compared with existing technical solutions for optimizing the plunger process regime in shale gas wells, this new approach analyzes the real-time status, plunger process regime information, and production oil pressure of each shale gas well in a plunger-process shale gas well group. This analysis allows for the optimization of the plunger process regime information for each well, ensuring staggered production among the wells within the group. Furthermore, by combining the plunger lifting information of each well, the plunger process regime of each well is further optimized based on the initial optimization. This approach ensures coordinated production from multiple shale gas wells while improving the accuracy and timeliness of plunger process regime adjustments, thereby enhancing the shale gas well production increase effect. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0024] Figure 1 This is a structural diagram of the optimization system for shale gas well plunger process based on the Internet of Things provided in this embodiment of the invention.

[0025] Figure 2 This is a schematic diagram showing the connection between the multi-well plunger centralized controller and each shale gas well provided in this embodiment of the invention;

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

[0027] Figure 4 This is a flowchart illustrating an optimization method for a shale gas well plunger process according to an embodiment of the present invention;

[0028] Figure 5 This is an example diagram of the plunger process system optimization knowledge base provided in the embodiments of the present invention;

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

[0030] Figure 7 This is a schematic diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative 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 "comprising," "including," "having," and "containing" are open-ended terms, meaning that they include but are not limited to. The terms "an embodiment," "a specific embodiment," "some embodiments," and "for example," etc., refer to specific features, structures, or characteristics described in connection with that embodiment or example that are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. The order of steps involved in the various embodiments is used to illustrate the implementation of this application, and the order of steps is not limited and can be adjusted appropriately as needed.

[0033] Research has revealed the following problems with the existing management and technology of plunger processes for platform shale gas wells:

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

[0035] (2) For the implementation of the plunger process in shale gas wells mainly based on platform development, the following problems exist in the key equipment controller: First, the plunger controller is a key piece of equipment in the plunger process. The current implementation mode of the plunger process is one plunger controller per well, which results in high implementation costs. Second, the quality differences among multiple controllers lead to reduced efficiency in troubleshooting and handling controller faults, which sometimes affects the efficiency of process operation. Third, multiple controllers may be from different manufacturers or from the same manufacturer but with different software versions, resulting in differences in data acquisition content and data format, making unified centralized management and coordination difficult and costly.

[0036] (3) For shale gas wells that are mainly developed on the platform, they share a gas transmission pipeline. In the well stations that implement pressurization in the platform, the compressor has certain requirements for the intake pressure and intake volume. In order to ensure the stable operation of the compressor, the platform plunger process well needs to coordinate staggered production to reduce the impact of the switching of adjacent wells on the production of this well. However, since each well on the platform has its own control logic, it is not possible to achieve automatic coordination between multiple controllers based on the same platform. Sometimes the timing of switching of plunger process wells seriously affects the operation of the compressor and the plunger lifting and drainage of adjacent wells.

[0037] In response to the above research, this invention proposes an optimized scheme for the plunger process regime of shale gas wells. This scheme can significantly reduce the implementation cost of the plunger process, ensure stable and coordinated production of shale gas wells on the same platform, improve the accuracy and timeliness of plunger process regime adjustments, thereby enhancing the production increase effect of shale gas wells and ensuring the safety of gas well information and control.

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

[0039] Specifically, such as 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 (user terminal); the office network includes a time-series database, an office network server, an expert knowledge base, and a PC (user terminal); wherein:

[0040] Production data acquisition module: Used to acquire operating parameters of the multi-well plunger centralized controller. These parameters include real-time status information, plunger process regime information, production oil pressure, and plunger lift information for each shale gas well in the same plunger process shale gas well group. Examples include production oil pressure, production casing pressure, instantaneous production, plunger arrival signal, well opening duration, well shut-in duration, well opening time, and well shut-in time. It also receives plunger process regime adjustment commands from 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 synchronizes the data to the time-series database of the office network in real time through a one-way gateway for the office network server to access and use.

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

[0043] Expert Knowledge Base (Plunger Process System Optimization Knowledge Base): This base stores optimization measures for plunger process systems under different plunger lifting conditions. Based on these optimization measures, the system adjustments on the office network server (production network server) are further refined, providing optimal system adjustment instructions. Furthermore, based on the effects of numerous plunger process system optimizations before and after optimization, the expert experience model is optimized and improved, the plunger process system optimization knowledge base is upgraded, and plunger lifting efficiency is enhanced. The expert experience model is used to select parameters that comprehensively reflect plunger lifting efficiency.

[0044] PC-based: The IoT-based shale gas well plunger process optimization system is developed using a B / S architecture. Users can remotely log in and access the server deployed on the production network or office network using a browser to achieve the goal of intelligent management of the plunger process well.

[0045] This approach solves the security issues associated with the transmission and use of production data on the internet and mobile internet, ensuring both the information security of production data and the security of gas well control. It also meets the requirements of researchers and technical managers in the oilfield production network and office network for efficient management of gas wells, greatly improving the management level of plunger process wells. By remotely controlling the plunger process of gas wells via PC, it significantly reduces process operation and maintenance costs and improves the process's production enhancement effect.

[0046] In addition, to enable a single plunger controller to simultaneously control multiple shale gas wells in implementing the plunger process, this invention also provides a "one-to-many control" multi-well plunger centralized controller. For example... Figure 2 The diagram shown illustrates the connection between the multi-well plunger centralized controller and each shale gas well provided in this embodiment of the invention. Figure 2 It is possible to design a plunger controller with a one-to-eight mode (or one-to-six mode), that is, one controller 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 (well 1-well 8).

[0047] like Figure 3 The diagram shown is an equipment architecture diagram of the multi-well plunger centralized controller provided in an embodiment of the present invention.Figure 3 In the process, after the power is turned on, the arrival signal of the plunger in each shale gas well and the state quantity corresponding to the plunger process regime can be collected by the arrival sensor. Figure 3 The multi-well plunger centralized controller is also equipped with one RS485 communication interface and one RJ45 communication interface. The RS485 interface communicates with the field pressure sensor to collect pressure data; the RJ45 interface communicates with the field 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 system optimization system) through the intranet. The background monitoring system outputs valve opening or closing signals to the multi-well plunger centralized controller to drive the pneumatic or electric valve of each shale gas well. It can also be equipped with a display screen to display operating parameters and setting system parameters, etc.

[0048] In this way, the above-mentioned multi-well plunger centralized controller not only solves the problems of difficult and costly 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 plunger technology.

[0049] Figure 4 A flowchart illustrating an optimization method for a shale gas well plunger process according to an embodiment of the present invention. The method may include the following steps:

[0050] Step 401: 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 rise speed and oil pressure recovery information;

[0051] Step 402: Based on the real-time status information and plunger process system information of each shale gas well, determine the predicted status information of each shale gas well within a preset time period.

[0052] Step 403: Calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well.

[0053] Step 404: 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.

[0054] Step 405: Based on the classification results and the predicted status information of each shale gas well, optimize the plunger process regime information of each shale gas well to obtain the first optimized plunger process regime information of each shale gas well.

[0055] Step 406: Based on the pre-well opening oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information of each shale gas well, optimize the first optimized plunger process regime information of each shale gas well to obtain the second optimized plunger process regime information of each shale gas well.

[0056] In this embodiment of the invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained. These operating parameters include real-time status information, plunger process regime information, production oil pressure, and plunger lift information for each shale gas well in the plunger process shale gas well group. The plunger lift information includes: pre-well opening oil-casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise speed, and oil pressure recovery information. Based on the real-time status information and plunger process regime information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined. Based on the production oil pressure of each shale gas well, the operating parameters of the plunger process shale gas well group are calculated. Average oil pressure; based on the average oil pressure of the shale gas well group using the plunger process and the production oil pressure of each shale gas well, the shale gas wells in the plunger process shale gas well group are classified; based on the classification results and the predicted state information of each shale gas well, the plunger process regime information of each shale gas well is optimized to obtain the first optimized plunger process regime information of each shale gas well; based on the pre-opening oil-casing pressure difference, production water pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information of each shale gas well, the first optimized plunger process regime information of each shale gas well is optimized to obtain the second optimized plunger process regime information of each shale gas well. Compared with existing technical solutions for optimizing the plunger process regime in shale gas wells, this new approach analyzes the real-time status, plunger process regime information, and production oil pressure of each shale gas well in a plunger-process shale gas well group. This analysis allows for the optimization of the plunger process regime information for each well, ensuring staggered production among the wells within the group. Furthermore, by combining the plunger lifting information of each well, the plunger process regime of each well is further optimized based on the initial optimization. This approach ensures coordinated production from multiple shale gas wells while improving the accuracy and timeliness of plunger process regime adjustments, thereby enhancing the shale gas well production increase effect.

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

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

[0059] Because during the implementation of the plunger process on a shale gas platform, not all the wells on the platform are constructed simultaneously. For example, the platform currently has 6 wells, but only 4 of them have the plunger process installed and the plunger lift process has been implemented. Therefore, before implementing step 401, it is necessary to automatically divide all the shale gas wells on the platform into plunger process shale gas well groups and non-plunger process shale gas well groups based on the well tags.

[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, the plunger process system information, the production oil pressure and the plunger lifting information.

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

[0062] in:

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

[0064] Plunger process system information refers 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] Plunger lift information refers to parameters that comprehensively reflect plunger lift efficiency. These parameters can be selected using expert experience models and may include pre-well opening casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise rate, and oil pressure recovery information.

[0066] The differential pressure between the casing and the well before well opening can be: the difference between the casing pressure and the production oil pressure collected 5 minutes before well opening (which can be set according to specific circumstances); or the difference between the maximum casing pressure and the maximum production oil pressure collected on the same day. The larger the differential pressure between the casing and the well before well opening, the more liquid is accumulated and the higher the risk of water flooding in the gas well.

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

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

[0069] The plunger rise rate can be: the average rise rate of the plunger when it reaches the wellhead after well opening. A plunger rise rate of 200m / min to 350m / min indicates the highest fluid carrying capacity of the plunger; a plunger rise rate greater than 350m / min indicates a wellhead safety risk; and a plunger rise rate less than 200m / min indicates a water flooding risk.

[0070] Information on oil pressure recovery can include: whether the differential pressure between the well casing and the well casing increased before well opening, whether gas production and water production dropped sharply, and whether the oil pressure recovery before well shut-in was slow. Whether the differential pressure between the well casing and the well casing increased before well opening can refer to comparing the differential pressure before well opening in the current cycle with that in previous cycles to see if there was a continuous increase, or whether the differential pressure before well opening each day was continuously increasing compared to the previous few days. Whether gas production and water production dropped sharply can refer to whether the gas production on the current day dropped sharply compared to the previous day, and whether the water production on the current day dropped sharply compared to the previous day (e.g., a drop in gas production exceeding 10% is considered a sharp drop). Whether the oil pressure recovery before well shut-in was slow can refer to whether the collected production oil pressure before well shut-in was within 0.3 MPa (this can be set according to specific circumstances); if so, it indicates that the oil pressure recovery before well shut-in was slow.

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

[0072] In practice, the current time can be used as the starting time, and a preset time period (such as 10 minutes later) can be set. Based on 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, if the current time is 11:00, the plunger process information of a certain shale gas well includes well opening time of 10:30, well opening duration of 60 minutes, well closing time of 11:30, and well closing duration of 60 minutes; based on this information, it can be predicted that the predicted status of the shale gas well in 10 minutes will be well open.

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

[0075] In practice, the average oil pressure of the plunger process shale gas well group is calculated according to the following formula:

[0076]

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

[0078] In step 404, the shale gas wells in the plunger process shale gas well group can 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, step 404 above may specifically include:

[0080] Compare the production oil pressure of each shale gas well with the average oil pressure of the plunger process shale gas well group.

[0081] If the production oil pressure of a shale gas well is less than the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the first gas well group.

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

[0083] In practical implementation, the average oil pressure Using this as a baseline, the production oil pressure p of each shale gas well is... i and In comparison, the production hydraulic pressure p i Less than average oil pressure The shale gas wells are categorized into well groups with lower production pressure (i.e., the first gas well group), and the production oil pressure p is... i Greater than or equal to the average oil pressure The shale gas wells are categorized into well groups with higher production pressure (i.e., the second gas well group).

[0084] In step 405, the plunger process regime information of each shale gas well can be optimized based on the classification results of step 404 and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process regime information of each shale gas well.

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

[0086] When the predicted state information of each shale gas well in the plunger process shale gas well group is in the 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 state information of each shale gas well in the plunger process shale gas well group is in the open state, the shut-in time in the plunger process regime 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 regime information of each shale gas well.

[0088] In practice, when the predicted status information for each shale gas well is in the shut-in state, using the duration corresponding to the aforementioned preset time period as the standard, each shale gas well in the high-production-pressure well group (second well group) will be shut down for a duration corresponding to the preset time period before shutting down. At this time, based on the plunger process regime information, in the plunger process regime information for the next cycle of each shale gas well (first optimized plunger process regime information), the shut-in time will be delayed by the duration corresponding to the preset time period, and the well opening time will be increased by the duration corresponding to the preset time period. For example, if the preset time period is 10 minutes, and the real-time plunger process regime for a certain shale gas well is: well opening time 60 minutes, well shut-in time 60 minutes, it will be adjusted to: well opening time 70 minutes, well shut-in time 60 minutes.

[0089] In practice, when the predicted status information for each shale gas well indicates it is in the open state, the opening time for each shale gas well in the low-production-pressure well group (the first well group) is delayed by the time corresponding to the preset time period, based on the aforementioned preset time period duration. At this point, in the next cycle's plunger process regime information (the first optimized plunger process regime information) for each shale gas well, the opening time is delayed by the time corresponding to the preset time period, and the shut-in time is increased by the same duration. For example, if the preset time period is 10 minutes, and the real-time plunger process regime for a certain shale gas well is 60 minutes for opening and 60 minutes for shut-in, it is adjusted to 60 minutes for opening and 70 minutes for shut-in.

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

[0091] In this embodiment of the invention, while ensuring 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 regime and ensure the lifting efficiency of the plunger process. However, the optimized plunger process regime obtained for each shale gas well in step 405 may sometimes lead to a decrease in plunger lifting efficiency, and in severe cases, it may even lead to water flooding. Therefore, each well in the plunger process shale gas well group also needs to perform an intelligent diagnostic process.

[0092] Specifically, in step 406, the first optimized plunger process regime information for each shale gas well can be optimized based on the pre-well opening oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information, to obtain the second optimized plunger process regime information for each shale gas well.

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

[0094] The system invokes a pre-defined plunger process optimization knowledge base. Based on factors such as pre-well opening pressure differential, water production pressure differential, plunger arrival rate, plunger rise rate, whether the pre-well opening pressure differential increases, whether gas and water production drops sharply, and whether oil pressure recovery is slow before well shut-in, the system optimizes the first optimized plunger process system information for each shale gas well to obtain the second optimized plunger process system information for each shale gas well. The plunger process optimization knowledge base includes optimization measures for plunger process system information corresponding to different plunger lifting information.

[0095] In practice, based on the expert experience model, the following parameters that can comprehensively reflect the plunger lifting efficiency are selected for process diagnosis. Specifically, based on the pre-well opening oil-casing pressure difference, production water pressure difference, plunger arrival rate, plunger rise speed, and oil pressure recovery information of each shale gas well, combined with the recommended optimization information from the plunger process system optimization knowledge base, the first optimized plunger process system information of each shale gas well is optimized a second time to obtain the second optimized plunger process system information of each shale gas well.

[0096] For example, Figure 5 An example diagram of the plunger process system optimization knowledge base provided for embodiments of the present invention. According to Figure 5 The parameters of each shale gas well, including pre-well opening oil-casing pressure differential, production water pressure differential, plunger reach rate, plunger rise rate, whether the pre-well opening oil-casing pressure differential increased, whether gas and water production dropped sharply, and whether oil pressure recovery was slow before well shut-in, were analyzed according to the following rules:

[0097] If the pressure difference between the oil casing and the well casing is not greater than 0.3 MPa or the pressure difference between the production water and the well casing is not less than 0.3 MPa, 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 optimized plunger process system information.

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

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

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

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

[0102] If the pressure difference between the oil casing and the casing is greater than 0.3 MPa before well opening, and the pressure difference between the produced water and the casing is less than 0.3 MPa, and the pressure difference between the oil casing and the casing does not increase before well opening, 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 optimized plunger process system information.

[0103] In this way, by using a pre-set plunger process optimization knowledge base, the analysis of factors such as pre-well opening oil-casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise speed, whether the pre-well opening oil-casing pressure differential increases, whether gas and water production drops sharply, and whether oil pressure recovery is slow before well shut-in can ensure coordinated production of each shale gas well in a plunger process shale gas well group, while improving the accuracy and timeliness of plunger process system adjustments, ensuring optimal operation of the plunger process well system, thereby improving the lifting efficiency of the plunger process and ensuring the production enhancement effect of shale gas wells.

[0104] In this embodiment of the invention, it may further include:

[0105] After the second optimization of each shale gas well, a preset cycle (such as 10 minutes) can be set to periodically repeat the optimization process of the plunger process regime from step 401 to step 406, and continue to optimize the second optimized plunger process regime information.

[0106] This approach can resolve the issues of poor coordination in the operation of the plunger process in various shale gas wells, which leads to increased well maintenance costs and fluctuating compressor intake levels. It ensures coordinated and stable production from each shale gas well and guarantees optimal plunger process performance.

[0107] This invention also provides an optimization device for the plunger process of shale gas wells, as described in the following embodiments. Since the principle by which this device solves the problem is similar to the optimization method for the plunger process of shale gas wells, the implementation of this device can refer to the implementation of the optimization method for the plunger process of shale gas wells; repeated details will not be elaborated further.

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

[0109] The data acquisition module 601 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, the plunger process system information, the production oil pressure and the plunger lifting information; the plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information;

[0110] The prediction module 602 is used to 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.

[0111] Calculation module 603 is used to calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well.

[0112] The classification module 604 is used to classify 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 regime information of each shale gas well based on the classification results and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process regime information of each shale gas well.

[0114] The second optimization module 606 is used to optimize the first optimized plunger process regime information of each shale gas well based on the pre-well opening oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information, so as to obtain the second optimized plunger process regime information of each shale gas well.

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

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

[0117] In one embodiment, the classification module can specifically be used for:

[0118] Compare the production oil pressure of each shale gas well with the average oil pressure of the plunger process shale gas well group.

[0119] If the production oil pressure of a shale gas well is less than the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the first gas well group.

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

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

[0122] When the predicted state information of each shale gas well in the plunger process shale gas well group is in the 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 state information of each shale gas well in the plunger process shale gas well group is in the open state, the shut-in time in the plunger process regime 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 regime information of each shale gas well.

[0124] In one embodiment, the oil pressure recovery information may include: whether the oil casing pressure difference increased before well opening, whether the gas production and water production dropped sharply, and whether the oil pressure recovery was slow before well shut-in.

[0125] In one embodiment, the second optimization module can be specifically used for:

[0126] The system invokes a pre-defined plunger process optimization knowledge base. Based on factors such as pre-well opening pressure differential, water production pressure differential, plunger arrival rate, plunger rise rate, whether the pre-well opening pressure differential increases, whether gas and water production drops sharply, and whether oil pressure recovery is slow before well shut-in, the system optimizes the first optimized plunger process system information for each shale gas well to obtain the second optimized plunger process system information for each shale gas well. The plunger process optimization knowledge base includes optimization measures for plunger process system information corresponding to different plunger lifting information.

[0127] This invention also provides a computer device, such as... Figure 7 The diagram shown is a schematic 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, it implements the above-mentioned optimization method for the shale gas well plunger process.

[0128] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described optimization method for the shale gas well plunger process.

[0129] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described optimization method for the shale gas well plunger process.

[0130] In this embodiment of the invention, the operating parameters of the multi-well plunger centralized controller corresponding to the plunger process shale gas well group are obtained. These operating parameters include real-time status information, plunger process regime information, production oil pressure, and plunger lift information for each shale gas well in the plunger process shale gas well group. The plunger lift information includes: pre-well opening oil-casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise speed, and oil pressure recovery information. Based on the real-time status information and plunger process regime information of each shale gas well, the predicted status information of each shale gas well within a preset time period is determined. Based on the production oil pressure of each shale gas well, the operating parameters of the plunger process shale gas well group are calculated. Average oil pressure; based on the average oil pressure of the shale gas well group using the plunger process and the production oil pressure of each shale gas well, the shale gas wells in the plunger process shale gas well group are classified; based on the classification results and the predicted state information of each shale gas well, the plunger process regime information of each shale gas well is optimized to obtain the first optimized plunger process regime information of each shale gas well; based on the pre-opening oil-casing pressure difference, production water pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information of each shale gas well, the first optimized plunger process regime information of each shale gas well is optimized to obtain the second optimized plunger process regime information of each shale gas well. Compared with existing technical solutions for optimizing the plunger process regime in shale gas wells, this new approach analyzes the real-time status, plunger process regime information, and production oil pressure of each shale gas well in a plunger-process shale gas well group. This analysis allows for the optimization of the plunger process regime information for each well, ensuring staggered production among the wells within the group. Furthermore, by combining the plunger lifting information of each well, the plunger process regime of each well is further optimized based on the initial optimization. This approach ensures coordinated production from multiple shale gas wells while improving the accuracy and timeliness of plunger process regime adjustments, thereby enhancing the shale gas well production increase effect.

[0131] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0133] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0134] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0135] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are 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 within the scope of protection of the present invention.

Claims

1. An optimization method for the plunger process of a shale gas well, characterized in that, include: 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 lifting information; The plunger lifting information includes: oil casing pressure difference before well opening, water production pressure difference, plunger arrival rate, plunger lifting speed, and oil pressure recovery information; Based on the real-time status information and 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. Calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well. Based on 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. Based on the classification results and the predicted status information of each shale gas well, the plunger process regime information of each shale gas well is optimized to obtain the first optimized plunger process regime information of each shale gas well. Based on the pre-opening oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information of each shale gas well, the first optimized plunger process regime information of each shale gas well is optimized to obtain the second optimized plunger process regime information of each shale gas well. Based on 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: Compare the production oil pressure of each shale gas well with the average oil pressure of the plunger process shale gas well group. If the production oil pressure of a shale gas well is less than the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the first gas well group. If the production oil pressure of a shale gas well is greater than or equal to the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the second gas well group. Based on the classification results and the predicted status information of each shale gas well, the plunger process regime information for each shale gas well is optimized to obtain the first optimized plunger process regime information for each shale gas well, including: When the predicted state information of each shale gas well in the plunger process shale gas well group is in the 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 state information of each shale gas well in the plunger process shale gas well group is in the open state, the shut-in time in the plunger process regime 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 regime information of each shale gas well.

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

3. The method as described in claim 1, characterized in that, The oil pressure recovery information includes: whether the oil casing pressure difference increased before well opening, whether the gas production and water production dropped sharply, and whether the oil pressure recovery was slow before well shut-in.

4. The method as described in claim 3, characterized in that, Based on the pre-well opening oil-casing pressure differential, production water pressure differential, plunger arrival rate, plunger rise rate, and oil pressure recovery information of each shale gas well, the first optimized plunger process regime information for each shale gas well is optimized to obtain the second optimized plunger process regime information for each shale gas well, including: The system invokes a pre-defined plunger process optimization knowledge base. Based on factors such as pre-well opening pressure differential, water production pressure differential, plunger arrival rate, plunger rise rate, whether the pre-well opening pressure differential increases, whether gas and water production drops sharply, and whether oil pressure recovery is slow before well shut-in, the system optimizes the first optimized plunger process system information for each shale gas well to obtain the second optimized plunger process system information for each shale gas well. The plunger process optimization knowledge base includes optimization measures for plunger process system information corresponding to different plunger lifting information.

5. An optimization device for shale gas well plunger process, characterized in that, include: The 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 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 lifting speed, and oil pressure recovery information; The prediction module is used to 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. The calculation module is used to calculate the average oil pressure of the plunger process shale gas well group based on the production oil pressure of each shale gas well. The classification module is used to classify shale gas wells in the plunger process shale gas well group based on the average oil pressure of the plunger process shale gas well group and the production oil pressure of each shale gas well. The first optimization module is used to optimize the plunger process regime information of each shale gas well based on the classification results and the predicted state information of each shale gas well, so as to obtain the first optimized plunger process regime information of each shale gas well. The second optimization module is used to optimize the first optimized plunger process regime information of each shale gas well based on the oil casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed and oil pressure recovery information before well opening, so as to obtain the second optimized plunger process regime information of each shale gas well. The classification module is specifically used for: Compare the production oil pressure of each shale gas well with the average oil pressure of the plunger process shale gas well group. If the production oil pressure of a shale gas well is less than the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the first gas well group. If the production oil pressure of a shale gas well is greater than or equal to the average oil pressure of a shale gas well group using the plunger process, then the shale gas well is classified as the second gas well group. 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 in the 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 state information of each shale gas well in the plunger process shale gas well group is in the open state, the shut-in time in the plunger process regime 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 regime information of each shale gas well.

6. The apparatus as claimed in claim 5, characterized in that, Real-time status information includes well open or well closed status; The plunger process system information includes: well opening time, well closing time, well opening time, and well closing time.

7. The apparatus as claimed in claim 5, characterized in that, The oil pressure recovery information includes: whether the oil casing pressure difference increased before well opening, whether the gas production and water production dropped sharply, and whether the oil pressure recovery was slow before well shut-in.

8. The apparatus as claimed in claim 7, characterized in that, The second optimization module is specifically used for: The preset plunger process system optimization knowledge base is invoked. Based on the oil-casing pressure difference, water production pressure difference, plunger arrival rate, plunger rise speed, whether the oil-casing pressure difference increases before well opening, whether the gas production and water production drop sharply, and whether the oil pressure recovery is slow before well shut-in, 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 optimization measures corresponding to different plunger lifting information.

9. 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, it implements the method of any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

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