Shale gas well single well productivity verification method and system

Abstract

The invention belongs to the technical field of shale gas well productivity verification, and particularly relates to a shale gas well single well productivity verification method and system, and the method comprises the steps: firstly obtaining the actual production data of a shale gas single well in a preset time period; then calculating an actual production time rate according to the obtained production data, extracting the number of well shut-in days in the production data through a preset semantic recognition model, and presetting the production time rate of each stage; comparing the actual production time rate obtained by calculation with a preset production time rate of each stage, and comparing the number of well shut-in days with a preset number of well shut-in days to generate comparison data; and finally, constructing a shale gas well productivity verification model corresponding to each stage according to the production time rate of each stage, taking the comparison data and the production data as input data of the shale gas well productivity verification model, and outputting a shale gas well productivity value. According to the method, the problem that in the prior art, due to the fact that shale gas well productivity verification factors are not comprehensively considered, verification results are inaccurate can be solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of shale gas well capacity verification, and in particular relates to a method and system for verifying the capacity of a single shale gas well. Background Art

[0002] Shale gas is an unconventional natural gas found in organic-rich shale formations, mainly composed of methane. Its unique properties and huge potential make it occupy an important position in the modern energy system. The development and utilization of shale gas not only enriches the global energy supply, but also promotes the diversification of the energy structure, and has far-reaching significance for ensuring energy security, promoting economic development and protecting the environment.

[0003] The capacity assessment of shale gas wells is a crucial link in shale gas development projects. It directly determines the economic feasibility of the project and the formulation of development strategies. Therefore, accurate capacity estimation can help decision makers optimize resource allocation, investment decision support, asset management and production strategy planning.

[0004] There are many existing methods for estimating shale gas well productivity, including empirical formulas, geological modeling, and fluid mechanics analysis, but the following key issues still exist:

[0005] 1. Limitations of production data processing: Existing methods mainly focus on the calculation of total production or average production, while ignoring the actual impact of production time rate and well shut-in time on production capacity. The production time rate reflects the actual production efficiency of the gas well, and the well shut-in time is restricted by many factors, both of which have a significant impact on the accuracy of production capacity verification;

[0006] 2. Shale gas wells may encounter temporary shutdowns during their operation cycle, which may be due to maintenance, technology upgrades or in response to changes in market conditions. Therefore, the length of time the well is shut down directly affects the shale gas well's ability to resume production and long-term production capacity, and this factor is often overlooked in existing technologies.

[0007] In summary, developing a new shale gas well productivity estimation method that can carefully consider the impact of production time rate, shut-in time and shut-in days on productivity is of great significance for improving estimation accuracy and optimizing development decisions. Summary of the invention

[0008] The technical problem solved by the present invention is to provide a shale gas single well capacity assessment method and system to solve the problem of inaccurate assessment results caused by incomplete consideration of shale gas well capacity assessment factors in the prior art.

[0009] The basic solution provided by the present invention is a method for evaluating the productivity of a single shale gas well, comprising:

[0010] S1: Obtaining actual production data of a single shale gas well within a preset time period;

[0011] S2: Calculate the actual production time rate based on the acquired production data, and extract the shut-in days in the production data and the preset production time rate of each stage through the preset semantic recognition model;

[0012] S3: Compare the calculated actual production time rate with the preset production time rate in each stage, and compare the shut-in days with the preset shut-in days to generate comparison data;

[0013] S4: construct a shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as input data of the shale gas well capacity verification model, and output the shale gas well capacity value.

[0014] Furthermore, the production data in S1 includes production time, daily gas production and remarks information.

[0015] Furthermore, the production time rates of each stage preset in S2 are specifically:

[0016] Obtain single well production time data, calendar day data and establish a standard knowledge base;

[0017] After preprocessing and calculating the acquired data, screening and analysis are performed based on the standard knowledge base to generate production time rates at each stage that characterize the productivity of shale gas wells.

[0018] Further, the S2 includes:

[0019] S2-1: Calculate the actual production time rate based on the production data within the preset time period. The calculation formula is:

[0020]

[0021] S2-2: Build a semantic recognition model, input the remark information in the production data into the semantic recognition model, and output the numerical value of the number of days the well is shut in.

[0022] Further, the S4 includes:

[0023] S4-1: construct multiple stage shale gas well capacity verification models according to the characteristics of the production time rate of each stage, and obtain the historical production data of the shale gas well. Similarly, generate training samples and verification samples according to the characteristics of the production time rate of each stage. Train the stage shale gas well capacity verification model through the training samples. After the training is completed, verify the stage shale gas well capacity verification model through the verification samples until the trained stage shale gas well capacity verification model is obtained;

[0024] S4-2: Input the comparison data and production data into the trained stage shale gas well capacity assessment model, determine the correlation between the actual production time rate in the comparison data and the preset production time rate in each stage, and determine the correlation between the shut-in days and the preset shut-in days, and calculate the shale gas well capacity value based on the correlation results.

[0025] Furthermore, the operation steps of the shale gas well capacity verification model in the above stage are:

[0026] Determine the corresponding stage information of the actual production time rate in the received comparison data in the preset production time rates of each stage;

[0027] Determine the marking information of the shut-in days in the production data and the preset shut-in days;

[0028] Matching the corresponding stage shale gas well capacity verification model according to the corresponding stage information and the marking information, and inputting the production data into the corresponding stage shale gas well capacity verification model;

[0029] The shale gas well capacity value is calculated based on the preset capacity verification days of the shale gas well capacity verification model in the matching stage and the daily gas production in the production data.

[0030] A shale gas single well capacity verification system, applied to the above-mentioned shale gas single well capacity verification method, comprises:

[0031] Data acquisition module: used to obtain the actual production data of a single shale gas well within a preset time period;

[0032] Production time rate calculation module: used to calculate the actual production time rate based on the acquired production data;

[0033] Semantic recognition module: used to identify the shut-in days in production data through a preset semantic recognition model;

[0034] Data comparison module: The production time rate of each stage is preset, which is used to compare the calculated actual production time rate with the preset production time rate of each stage, and compare the shut-in days with the preset shut-in days to generate comparison data;

[0035] Capacity verification module: Build the shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as the input data of the shale gas well capacity verification model, and output the shale gas well capacity value.

[0036] The principle and advantage of the present invention are as follows: In the present application, for the capacity verification of a single shale gas well, firstly, its production data in a preset time period is obtained, including production time, daily gas production and remark information. The production time and daily gas production can be used to calculate the production time rate of the single shale gas well. The remark information can obtain the shut-in days of the single shale gas well. The obtained production time rate is compared with the preset production time rate of each stage, and then the relationship between the shut-in days and the preset shut-in days is compared, and then the data is imported into the capacity verification model of the shale gas well in each stage to obtain the shale gas well capacity value corresponding to the production time rate in different stages.

[0037] Therefore, this application can comprehensively understand the production status and potential production capacity of a single shale gas well based on the production time rate and shut-in days of the single shale gas well, and at the same time use different calculation methods to verify the production capacity through the characteristics of the production time rate at different stages, so as to provide more accurate production capacity information based on the different production conditions of the shale gas well. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flowchart of an embodiment of the present invention;

[0039] Figure 2 is an execution flow chart of an embodiment of the present invention;

[0040] Figure 3 is a functional block diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following is further described in detail through specific implementation methods:

[0042] The embodiment is basically as shown in the attached Figure 1 A method for determining the productivity of a single shale gas well is shown in the figure, comprising:

[0043] S1: Obtain the actual production data of a single shale gas well within a preset time period; in this embodiment, the obtained production data includes production time, daily gas production and remark information. The preset time period is selected according to the actual situation. This application sets it to 30 days. Specifically, first obtain the actual production time, daily gas production and remark information of a single shale gas well within 30 days as production data, wherein the remark information in this application includes normal operation, pressure recovery, well shut-in, well opening, etc., so as to obtain the operating status information of the single shale gas well.

[0044] S2: Calculate the actual production time rate based on the acquired production data, and extract the shut-in days in the production data and the preset production time rates of each stage through the preset semantic recognition model; S2 includes:

[0045] S2-1: Calculate the actual production time rate based on the production data within the preset time period. The calculation formula is:

[0046]

[0047] S2-2: Build a semantic recognition model, input the remark information in the production data into the semantic recognition model, and output the numerical value of the number of days the well is shut in.

[0048] Specifically, by calculating the actual production time rate, the production efficiency of the target shale gas well during the production time can be obtained. The production efficiency of the target shale gas well, on the one hand, actively affects the production capacity of the shale gas well, and on the other hand, is passively affected by the number of days the well is shut in. Therefore, the number of days the well is shut in is obtained through a preset semantic recognition model. In this embodiment, the production data of the acquired shale gas well includes remark information, and the remark information contains the operating status information of the target shale gas well during the production time. Therefore, it is only necessary to perform text recognition and classification on the remark information through the semantic recognition model to obtain the remark characterizing the shut-in status of the target shale gas well, such as the remark "shut-in, pressure recovery", etc., and then determine the shut-in days based on the duration of the shut-in status in the remark information. The preset semantic recognition model in this application adopts the Transformer model.

[0049] After calculating the actual production time rate and shut-in days, the production time rate of each stage is preset. The implementation process is as follows:

[0050] The production time data and calendar day data of a single well are obtained and a standard knowledge base is established. The data obtained can effectively characterize the business strategies, production guidelines, production standards and other systems of the company to which the shale gas single well belongs. The established standard knowledge base is established in accordance with some existing national standards for shale gas well production and the production standards customized by the company, and can serve as the basis for dividing the production time rates of each stage of the company in accordance with the actual situation.

[0051] Then, the acquired single well production time data and calendar day data are preprocessed, including data cleaning, data unification, data conversion and other operations, so that the acquired data remains consistent and is convenient for subsequent calculations;

[0052] When calculating the data obtained above, the performance data of different time periods in the obtained data are divided, and the performance data of the above enterprises are evaluated according to the scoring standards and weight ratios formulated by experts. After the evaluation is completed, the corresponding production time rate range of the enterprise in different production stages is obtained.

[0053] S3: Compare the calculated actual production time rate with the preset production time rate for each stage, and compare the well-shutdown days with the preset well-shutdown days to generate comparison data; in the comparison process of this embodiment, after the actual production time rate is calculated, it is compared with the preset production time rate for each stage to obtain the stage production time rate corresponding to the actual production time rate. Similarly, the production time rate for each stage also presets the number of well days. The actual well-shutdown days identified in the production data are compared with the preset well-shutdown days in the corresponding stage production time rate, so as to obtain accurate comparison data.

[0054] S4: construct a shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as input data of the shale gas well capacity verification model, and output the shale gas well capacity value, wherein S4 includes:

[0055] S4-1: construct multiple stage shale gas well capacity verification models according to the characteristics of the production time rate of each stage, and obtain the historical production data of the shale gas well. Similarly, generate training samples and verification samples according to the characteristics of the production time rate of each stage. Train the stage shale gas well capacity verification model through the training samples. After the training is completed, verify the stage shale gas well capacity verification model through the verification samples until the trained stage shale gas well capacity verification model is obtained;

[0056] S4-2: Input the comparison data and production data into the trained stage shale gas well capacity assessment model, determine the correlation between the actual production time rate in the comparison data and the preset production time rate in each stage, and determine the correlation between the shut-in days and the preset shut-in days, and calculate the shale gas well capacity value based on the correlation results.

[0057] In this application, in order to better calculate the capacity value corresponding to the production time rate at each stage, a shale gas well capacity verification model for each stage is constructed. By calling historical production data, the accuracy of the shale gas well capacity verification model for each stage is trained. After the training is completed, the production data and comparison data are input into the shale gas well capacity verification model for each stage, and the corresponding calculation is performed to obtain the capacity value of a single shale gas well. To better reflect the solution of this application, an example is shown below:

[0058] Define the actual production time rate as ρ, the number of shut-in days as τ, and the production time as 30 days. Then, the steps for determining the production capacity of shale gas wells according to the preset production time rates of each stage are as follows: Figure 2 As shown, specifically:

[0059] When ρ = 100%, the production time rate of this stage is the production time rate of the first stage, in which the number of days of well shut-in is 0, which corresponds to the one-stage shale gas well capacity verification model. The one-stage shale gas well capacity verification model calculates the capacity verification of the target shale gas well by calculating the average daily gas production within 5 days as the capacity value.

[0060] When 95%≤ρ<100%, the production time rate of this stage is divided into the second stage production time rate in this application, which corresponds to the second stage shale gas well capacity verification model. At this time, it is necessary to consider the impact of the number of days of well closure on the capacity verification. Therefore, the second stage shale gas well capacity verification model calculates the average daily gas production within 15 days as the capacity value.

[0061] When 70%≤ρ<95%, the production time rate of this stage is divided into the third stage production time rate in this application, which corresponds to the three-stage shale gas well capacity verification model. At this time, it is necessary to perform the corresponding capacity calculation based on the comparison data of the shut-in days. Specifically, when τ<3, the average daily gas production within 30 days is calculated as the capacity value; when τ≥3, the daily gas production after removing the shut-in days is calculated as the capacity value.

[0062] When 50%≤ρ<70%, the production time rate of this stage is divided into the fourth stage production time rate in this application, which corresponds to the four-stage shale gas well capacity verification model. At this time, it is also necessary to calculate the capacity based on the comparison data of the shut-in days. Specifically, when τ<4, the average daily gas production within 30 days is calculated as the capacity value. Conversely, when τ≥4, the average daily gas production after removing the shut-in days is calculated as the capacity value.

[0063] When 20%≤ρ<50%, the production time rate of this stage is divided into the fifth stage production time rate in this application, which corresponds to the five-stage shale gas well capacity verification model. At this time, it is also necessary to calculate the capacity based on the comparison data of the number of days of well closure. Specifically, when τ<6, the average daily gas production within 30 days is calculated as the capacity value. Conversely, when τ≥6, the average daily gas production after removing the number of days of well closure is calculated as the capacity value.

[0064] When ρ<20%, the production time rate of this stage is divided into the sixth stage production time rate in this application, which corresponds to the six-stage shale gas well capacity verification model. At this time, it is also necessary to calculate the capacity based on the comparison data of the shut-in days. Specifically, when τ<22, the average daily gas production within 30 days is calculated as the capacity value. Conversely, when τ≥22, the average daily gas production after removing the shut-in days is calculated as the capacity value.

[0065] Therefore, the method for determining the production capacity of a single shale gas well provided in the present application can comprehensively understand the production status and potential production capacity of a single shale gas well based on the production time rate and shut-in days of the single shale gas well, and at the same time, determine the production capacity using different calculation methods based on the characteristics of the production time rate at different stages, thereby providing more accurate production capacity information based on the different production conditions of the shale gas well.

[0066] like Figure 3 As shown, in another embodiment of this embodiment, a shale gas single well productivity verification system is also included, which is applied to the above-mentioned shale gas single well productivity verification method, including:

[0067] Data acquisition module: used to obtain the actual production data of a single shale gas well within a preset time period;

[0068] Production time rate calculation module: used to calculate the actual production time rate based on the acquired production data;

[0069] Semantic recognition module: used to identify the shut-in days in production data through a preset semantic recognition model;

[0070] Data comparison module: The production time rate of each stage is preset, which is used to compare the calculated actual production time rate with the preset production time rate of each stage, and compare the shut-in days with the preset shut-in days to generate comparison data;

[0071] Capacity verification module: Build the shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as the input data of the shale gas well capacity verification model, and output the shale gas well capacity value.

[0072] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for determining the productivity of a single shale gas well, characterized by: include: S1: Obtaining actual production data of a single shale gas well within a preset time period; S2: Calculate the actual production time rate based on the acquired production data, and extract the shut-in days in the production data and the preset production time rate of each stage through the preset semantic recognition model; S3: Compare the calculated actual production time rate with the preset production time rate in each stage, and compare the shut-in days with the preset shut-in days to generate comparison data; S4: construct a shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as input data of the shale gas well capacity verification model, and output the shale gas well capacity value.

2. A shale gas single well productivity assessment method according to claim 1, characterized in that: The production data in S1 includes production time, daily gas production and remarks information.

3. A shale gas single well productivity assessment method according to claim 2, characterized in that: The production time rates of each stage preset in S2 are specifically: Obtain single well production time data, calendar day data and establish a standard knowledge base; After preprocessing and calculating the acquired data, screening and analysis are performed based on the standard knowledge base to generate production time rates at each stage that characterize the productivity of shale gas wells.

4. A method for determining the productivity of a single shale gas well according to claim 3, characterized in that: The S2 includes: S2-1: Calculate the actual production time rate based on the production data within the preset time period. The calculation formula is: S2-2: Build a semantic recognition model, input the remark information in the production data into the semantic recognition model, and output the numerical value of the number of days the well is shut in.

5. A method for determining the productivity of a single shale gas well according to claim 4, characterized in that: The S4 includes: S4-1: construct multiple stage shale gas well capacity verification models according to the characteristics of the production time rate of each stage, and obtain the historical production data of the shale gas well. Similarly, generate training samples and verification samples according to the characteristics of the production time rate of each stage. Train the stage shale gas well capacity verification model through the training samples. After the training is completed, verify the stage shale gas well capacity verification model through the verification samples until the trained stage shale gas well capacity verification model is obtained; S4-2: Input the comparison data and production data into the trained stage shale gas well capacity assessment model, determine the correlation between the actual production time rate in the comparison data and the preset production time rate in each stage, and determine the correlation between the shut-in days and the preset shut-in days, and calculate the shale gas well capacity value based on the correlation results.

6. A method for determining the productivity of a single shale gas well according to claim 5, characterized in that: The operation steps of the shale gas well capacity verification model in the above stage are: Determine the corresponding stage information of the actual production time rate in the received comparison data in the preset production time rates of each stage; Determine the marking information of the shut-in days in the production data and the preset shut-in days; Matching the corresponding stage shale gas well capacity verification model according to the corresponding stage information and the marking information, and inputting the production data into the corresponding stage shale gas well capacity verification model; The shale gas well capacity value is calculated based on the preset capacity verification days of the shale gas well capacity verification model in the matching stage and the daily gas production in the production data.

7. A shale gas single well productivity verification system, applied to a shale gas single well productivity verification method as described in any one of claims 1 to 6 above, characterized in that: include: Data acquisition module: used to obtain the actual production data of a single shale gas well within a preset time period; Production time rate calculation module: used to calculate the actual production time rate based on the acquired production data; Semantic recognition module: used to identify the shut-in days in production data through a preset semantic recognition model; Data comparison module: The production time rate of each stage is preset, which is used to compare the calculated actual production time rate with the preset production time rate of each stage, and compare the shut-in days with the preset shut-in days to generate comparison data; Capacity verification module: Build the shale gas well capacity verification model corresponding to each stage according to the production time rate of each stage, use the comparison data and production data as the input data of the shale gas well capacity verification model, and output the shale gas well capacity value.

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