CN112101625A - Shale gas well production dynamic prediction method and system - Google Patents
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Abstract
The invention belongs to the technical field of dynamic prediction of oil and gas resources, and discloses a method and a system for dynamically predicting production of a shale gas well, wherein the system for dynamically predicting production of the shale gas well comprises the following components: the device comprises a shale gas well data acquisition module, a data clustering processing module, a production stage division module, a central control module, a production dynamic prediction module, a prediction result evaluation early warning module, a data cloud storage module and an update display module. According to the method, the feedback word set is updated through the data clustering processing module according to the feedback, and the obtained shale gas well data to be predicted are clustered through the updated feedback word set, so that the accuracy and efficiency of data clustering are improved; the production dynamic prediction module automatically identifies the production mode according to the common parameters of the shale gas well and automatically segments the production stage, so that the shale gas reserves can be automatically predicted, the influence of human subjective factors on yield prediction can be effectively avoided, and the prediction accuracy and efficiency are improved.
Description
Technical Field
The invention belongs to the technical field of dynamic prediction of oil and gas resources, and particularly relates to a shale gas well production dynamic prediction method and system.
Background
Currently, the source of shale gas is biogasification gas, thermogenic gas, which is usually present in free form in natural fissures and pores, or in adsorbed form on the surface of kerogen, clay particles, and also in very small amounts in dissolved form in asphaltenes. Unlike conventional reservoir gas reservoirs, shale is both a source rock for natural gas generation and a reservoir and cap rock for gathering and storing natural gas. The shale gas reservoir has low permeability and high exploitation difficulty, can be effectively developed by a plurality of methods such as horizontal well drilling and multi-section fracturing technology, and has the phenomenon that the gas wells have different capacities and possibly have the same area and larger difference due to the difference of geological conditions and process levels.
Meanwhile, most of the conventional unconventional shale gas well production dynamic prediction methods require that the gas well starts to produce, namely, the existing production dynamic data of the target well is used for predicting the production dynamic in a future period. However, in the actual development process, the production dynamics of the gas well is often required to be predicted and obtained before the gas well starts to produce in a mine field, the required data is excessive, the modeling process is complicated, the simulation speed is very slow when the number of grids is large, and the calculation cost is high. Therefore, a new shale gas well production dynamic prediction method is needed.
Through the above analysis, the problems and defects of the prior art are as follows: the existing shale gas well production dynamic prediction method needs to predict the production dynamics of a gas well before the gas well starts to produce, the required data is excessive, the modeling process is complicated, the simulation speed is very slow when the grid number is large, and the calculation cost is high.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a shale gas well production dynamic prediction method and a shale gas well production dynamic prediction system.
The invention is realized in this way, a shale gas well production dynamic prediction system, which comprises:
the device comprises a shale gas well data acquisition module, a data clustering processing module, a production stage division module, a central control module, a production dynamic prediction module, a prediction result evaluation early warning module, a data cloud storage module and an update display module.
The shale gas well data acquisition module is connected with the central control module and used for acquiring shale gas well data to be predicted through data acquisition equipment;
the data clustering processing module is connected with the central control module and is used for clustering the acquired shale gas well data to be predicted through a data clustering program;
the production stage division module is connected with the central control module and used for dividing the production stages of the shale gas wells according to the shale gas well data after clustering processing through a stage division program;
the central control module is connected with the shale gas well data acquisition module, the data clustering processing module, the production stage division module, the production dynamic prediction module, the prediction result evaluation early warning module, the data cloud storage module and the display module and is used for controlling the normal operation of each module of the shale gas well production dynamic prediction system through a central processing unit;
the production dynamic prediction module is connected with the central control module and used for dynamically predicting the shale gas well production through a dynamic prediction program and generating a dynamic prediction report;
the prediction result evaluation early warning module is connected with the central control module and is used for evaluating and correcting the production dynamic prediction result through a result evaluation program and carrying out early warning notification on an abnormal prediction result;
the cloud storage module is connected with the central control module and used for storing the obtained shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the abnormity early warning notification through a cloud database server;
and the updating display module is connected with the central control module and used for updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice through an updating program and displaying the updated data through a high-definition LED display.
Further, the production staging module includes:
the data extraction unit is used for extracting the shale gas well data after the clustering processing;
the mode judging unit is used for identifying the extracted shale gas well data according to preset data information of different production modes and judging the production mode corresponding to the extracted shale gas well data;
and the dividing unit is used for dividing the gas well production stage into constant production and reduced pressure or constant pressure reduced production according to the judged gas well production mode and the gas production rate data corresponding to the gas well production mode.
Further, the production dynamics prediction module includes:
the model construction unit is used for establishing a modern yield decrement analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and the historical production data;
the rule determining unit is used for substituting the gas production data of different stages into a modern yield decrement analysis numerical model and determining a pressure decrement rule corresponding to the gas well production stage;
and the report generating unit is used for dynamically predicting the shale gas well production according to the determined pressure decreasing rule, generating a dynamic prediction report and outputting and displaying the dynamic prediction report.
The invention also aims to provide a shale gas well production dynamic prediction method applying the shale gas well production dynamic prediction system, and the shale gas well production dynamic prediction method comprises the following steps:
acquiring data of a shale gas well to be predicted by a shale gas well data acquisition module through data acquisition equipment; and clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module.
And step two, dividing the production stage of the shale gas well by a production stage dividing module according to the shale gas well data after clustering by using a stage dividing program.
And thirdly, controlling the normal operation of each module of the shale gas well production dynamic prediction system by using a central processing unit through a central control module.
And fourthly, dynamically predicting the shale gas well production by using a dynamic prediction program through a production dynamic prediction module, and generating a dynamic prediction report.
And fifthly, evaluating and correcting the dynamic production prediction result by using a result evaluation early warning module through a result evaluation program, and carrying out early warning notification on the abnormal prediction result.
And sixthly, storing the obtained shale gas well data to be predicted, the shale gas well data after clustering processing, the production stage division result, the dynamic prediction report, the evaluation correction result and the abnormity early warning notice by using a cloud database server through a cloud storage module.
And seventhly, updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice by using an updating display module through an updating program, and displaying the updated data through a high-definition LED display.
Further, in the first step, the gas well data comprises production time, gas well pressure, daily gas production, reservoir physical properties, dynamic reserves, gas well size, oil pressure and casing pressure; the gas well data is obtained from a gas well historical data database.
Further, in the first step, the method for clustering the acquired shale gas well data to be predicted by using the data clustering program through the data clustering processing module includes:
s1, receiving a creation command through the data clustering processing module, and creating a feedback word set;
s2, clustering the shale gas well data to be predicted according to the feedback word set by using a data clustering program, and clustering the current data into a plurality of clustering categories;
s3, acquiring a first central word of each cluster category in the plurality of cluster categories and a first word weight of the first central word;
s4, updating the first word weight of the first central word according to the feedback word set, determining a plurality of current categories in the plurality of cluster categories, and displaying the plurality of current categories.
Further, the method for clustering processing further includes:
judging whether the first central word is matched with a feedback word in the feedback word set;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is a negative number, negating the first word weight of the first central word to obtain a third word weight of the first central word;
when the judgment result is negative, setting the first word weight of the first headword to be a first preset value so as to obtain a third word weight of the first headword; wherein the third word weight is the same as the first preset value.
Further, in the second step, the method for dividing the production stages of the shale gas wells according to the shale gas well data after the clustering process by using the stage division program through the production stage division module includes:
s21, judging that the gas well production mode is an oil pipe production mode, a casing production mode and an annulus production mode according to the gas well data;
and S22, dividing the gas well production stage into fixed-production reduced-pressure or fixed-pressure reduced-pressure production according to the gas well production mode and the gas production rate data corresponding to the gas well production mode.
Further, in step four, the method for dynamically predicting shale gas well production by using a dynamic prediction program through a production dynamic prediction module includes:
s31, establishing a modern yield decrement analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and the historical production data; the historical production data comprises the yield and pressure information of the shale gas well to be predicted;
s32, determining a pressure decreasing rule corresponding to a gas well production stage according to a modern yield decreasing analysis numerical model, performing pressure decreasing prediction or yield decreasing prediction of a plurality of stable production stages in the gas well production stage, and correspondingly obtaining shale gas reserve information of the plurality of stable production stages or stable pressure stages;
and S33, establishing a numerical well testing model according to the shale gas yield decreasing rule and/or the shale gas pressure decreasing rule, analyzing a plurality of shale gas reserves, and acquiring the recoverable reserves of the gas well.
Further, in step S32, the decreasing rule of shale gas production includes: exponential decrement law, hyperbolic decrement law and/or harmonic decrement law.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, which includes a computer readable program for providing a user input interface to implement the shale gas well production dynamics prediction method when the computer program product is executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to execute the shale gas well production dynamics prediction method.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the shale gas well production dynamic prediction system, the feedback word set is updated through the data clustering processing module according to the feedback, and the obtained shale gas well data to be predicted are clustered through the updated feedback word set, so that the accuracy and efficiency of data clustering are improved; the production dynamic prediction module automatically identifies the production mode according to the common parameters of the shale gas well and automatically segments the production stage, so that the shale gas reserves can be automatically predicted, the influence of human subjective factors on yield prediction can be effectively avoided, and the prediction accuracy and efficiency are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a method for dynamically predicting shale gas well production by a production dynamic prediction module using a dynamic prediction program according to an embodiment of the present invention.
FIG. 2 is a structural block diagram of a shale gas well production dynamic prediction system provided by an embodiment of the invention;
FIG. 3 is a flow chart of a shale gas well production dynamic prediction method provided by an embodiment of the invention.
Fig. 4 is a flowchart of a method for clustering acquired shale gas well data to be predicted by a data clustering program through a data clustering module according to an embodiment of the present invention.
FIG. 5 is a schematic structural diagram of a shale gas well production dynamics prediction system provided by an embodiment of the invention;
in fig. 5: 1. a shale gas well data acquisition module; 2. a data clustering processing module; 3. a production stage division module; 4. a central control module; 5. a production dynamics prediction module; 6. a prediction result evaluation early warning module; 7. a data cloud storage module; 8. and updating the display module.
FIG. 6 is a block diagram of a production phase partitioning module according to an embodiment of the present invention;
in fig. 6: 31. a data extraction unit; 32. a mode determination unit; 33. and dividing the unit.
FIG. 7 is a block diagram of a production dynamics prediction module according to an embodiment of the present invention;
in fig. 7: 51. a model construction unit; 52. a rule determining unit; 53. and a report generation unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a shale gas well production dynamic prediction method and a shale gas well production dynamic prediction system, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the shale gas well production dynamic prediction method provided by the embodiment of the invention comprises the following steps:
s101, acquiring data of a shale gas well to be predicted by a shale gas well data acquisition module through data acquisition equipment; and clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module.
And S102, dividing the production stage of the shale gas well by using a stage division program through a production stage division module according to the shale gas well data after the clustering processing.
And S103, controlling the normal operation of each module of the shale gas well production dynamic prediction system by using a central processing unit through a central control module.
And S104, dynamically predicting the shale gas well production by using a dynamic prediction program through a production dynamic prediction module, and generating a dynamic prediction report.
And S105, evaluating and correcting the dynamic production prediction result by using a result evaluation early warning module through a result evaluation program, and carrying out early warning notification on the abnormal prediction result.
And S106, storing the obtained shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the abnormity early warning notice by using the cloud database server through the cloud storage module.
And S107, updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice by using an updating display module through an updating program, and displaying the updated data through a high-definition LED display.
In step S101 provided by the embodiment of the present invention, the gas well data includes production time, gas well pressure, daily gas production rate, reservoir physical properties, dynamic reserve, gas well size, oil pressure, and casing pressure; the gas well data is obtained from a gas well historical data database.
As shown in fig. 2, in step S101 provided in the embodiment of the present invention, the method for clustering acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module includes:
s201, receiving a creating command through the data clustering processing module, and creating a feedback word set.
And S202, clustering the shale gas well data to be predicted according to the feedback word set by using a data clustering program, and clustering the current data into a plurality of clustering categories.
S203, acquiring a first central word of each cluster category in the plurality of cluster categories and a first word weight of the first central word.
S204, updating the first word weight of the first central word according to the feedback word set, determining a plurality of current categories in the plurality of clustering categories, and displaying the plurality of current categories.
The clustering method provided by the embodiment of the invention further comprises the following steps:
judging whether the first central word is matched with a feedback word in the feedback word set;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is a negative number, negating the first word weight of the first central word to obtain a third word weight of the first central word;
when the judgment result is negative, setting the first word weight of the first headword to be a first preset value so as to obtain a third word weight of the first headword; wherein the third word weight is the same as the first preset value.
As shown in fig. 3, in step S102 provided in the embodiment of the present invention, the method for dividing the production phase of the shale gas well according to the clustered shale gas well data by using a stage division program through a production phase dividing module includes:
s301, judging that the gas well production mode is an oil pipe production mode, a casing production mode and an annulus production mode according to the gas well data.
And S302, dividing the production stage of the gas well into fixed-production reduced-pressure or fixed-pressure reduced-pressure production according to the production mode of the gas well and the gas production rate data corresponding to the production mode of the gas well.
As shown in fig. 4, in step S104, the method for dynamically predicting shale gas well production by a production dynamic prediction module using a dynamic prediction program according to the embodiment of the present invention includes:
s401, establishing a modern yield decrement analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and historical production data; the historical production data comprises the yield and pressure information of the shale gas well to be predicted.
S402, determining a pressure decreasing rule corresponding to a gas well production stage according to a modern yield decreasing analysis numerical model, performing pressure decreasing prediction or yield decreasing prediction of a plurality of stable production stages in the gas well production stage, and correspondingly obtaining shale gas reserve information of the plurality of stable production stages or stable pressure stages.
And S403, establishing a numerical well testing model according to a shale gas yield decreasing rule and/or a shale gas pressure decreasing rule, analyzing a plurality of shale gas reserves, and acquiring the recoverable reserves of the gas well.
In step S402 in this embodiment of the present invention, the shale gas production rate decreasing rule includes: exponential decrement law, hyperbolic decrement law and/or harmonic decrement law.
As shown in fig. 5, the shale gas well production dynamic prediction system provided by the embodiment of the present invention includes: the device comprises a shale gas well data acquisition module 1, a data clustering processing module 2, a production stage division module 3, a central control module 4, a production dynamic prediction module 5, a prediction result evaluation early warning module 6, a data cloud storage module 7 and an update display module 8.
The shale gas well data acquisition module 1 is connected with the central control module 4 and used for acquiring shale gas well data to be predicted through data acquisition equipment;
the data clustering processing module 2 is connected with the central control module 4 and is used for clustering the acquired shale gas well data to be predicted through a data clustering program;
the production stage division module 3 is connected with the central control module 4 and used for dividing the production stages of the shale gas wells according to the shale gas well data after clustering processing through a stage division program;
the central control module 4 is connected with the shale gas well data acquisition module 1, the data clustering processing module 2, the production stage division module 3, the production dynamic prediction module 5, the prediction result evaluation early warning module 6, the data cloud storage module 7 and the update display module 8, and is used for controlling the normal operation of each module of the shale gas well production dynamic prediction system through a central processing unit;
the production dynamic prediction module 5 is connected with the central control module 4 and used for dynamically predicting the shale gas well production through a dynamic prediction program and generating a dynamic prediction report;
the prediction result evaluation early warning module 6 is connected with the central control module 4 and is used for evaluating and correcting the production dynamic prediction result through a result evaluation program and carrying out early warning notification on an abnormal prediction result;
the cloud storage module 7 is connected with the central control module 4 and used for storing the obtained shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the abnormity early warning notification through a cloud database server;
and the updating display module 8 is connected with the central control module 4 and is used for updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice through an updating program and displaying the updated data through a high-definition LED display.
As shown in fig. 6, the production stage division module 3 in the embodiment of the present invention includes:
the data extraction unit 31 is used for extracting the shale gas well data after the clustering processing;
the mode judging unit 32 is configured to identify the extracted shale gas well data according to preset data information of different production modes, and judge a production mode corresponding to the extracted shale gas well data;
and the dividing unit 33 is used for dividing the gas well production stage into constant production and reduced pressure or constant pressure reduced production according to the judged gas well production mode and the gas production rate data corresponding to the gas well production mode.
As shown in fig. 7, the production dynamics prediction module 5 in the embodiment of the present invention includes:
the model building unit 51 is used for building a modern yield decreasing analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and the historical production data;
the rule determining unit 52 is configured to bring the gas production data of different stages into the modern yield decrement analysis numerical model, and determine a pressure decrement rule corresponding to the gas well production stage;
and the report generating unit 53 is used for dynamically predicting the shale gas well production according to the determined pressure decreasing rule, generating a dynamic prediction report and outputting and displaying the dynamic prediction report.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The shale gas well production dynamic prediction method is characterized by comprising the following steps:
acquiring data of a shale gas well to be predicted by a shale gas well data acquisition module through data acquisition equipment; clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module;
the method for clustering the acquired shale gas well data to be predicted by the data clustering processing module through the data clustering program specifically comprises the following steps:
s11, receiving a creation command through the data clustering processing module, and creating a feedback word set;
s12, clustering the shale gas well data to be predicted according to the feedback word set by using a data clustering program, and clustering the current data into a plurality of clustering categories;
s13, acquiring a first central word of each cluster category in the plurality of cluster categories and a first word weight of the first central word;
s14, updating the first word weight of the first central word according to the feedback word set, determining a plurality of current categories in the plurality of cluster categories, and displaying the plurality of current categories;
dividing the production stage of the shale gas well by a production stage dividing module according to the shale gas well data after clustering by using a stage dividing program;
controlling the normal operation of each module of the shale gas well production dynamic prediction system by a central control module through a central processing unit;
step four, dynamically predicting the shale gas well production by using a dynamic prediction program through a production dynamic prediction module, and generating a dynamic prediction report;
evaluating and correcting the dynamic production prediction result by using a prediction result evaluation early warning module through a result evaluation program, and carrying out early warning notification on the abnormal prediction result;
step six, storing the obtained shale gas well data to be predicted, the shale gas well data after clustering processing, production stage division results, dynamic prediction reports, evaluation correction results and abnormal early warning notifications by a cloud storage module through a cloud database server;
and seventhly, updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice by using an updating display module through an updating program, and displaying the updated data through a high-definition LED display.
2. The shale gas well production dynamics prediction method of claim 1 wherein in step one, the gas well data includes production time, gas well pressure, daily gas production, reservoir properties, dynamic reserves, gas well size, oil pressure, and casing pressure; the gas well data is obtained from a gas well historical data database.
3. The shale gas well production dynamics prediction method of claim 1, wherein the clustering process further comprises:
judging whether the first central word is matched with a feedback word in the feedback word set;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is a negative number, negating the first word weight of the first central word to obtain a third word weight of the first central word;
when the judgment result is negative, setting the first word weight of the first headword to be a first preset value so as to obtain a third word weight of the first headword; wherein the third word weight is the same as the first preset value.
4. The shale gas well production dynamic prediction method of claim 1, wherein in step two, the method for dividing the production stage of the shale gas well according to the shale gas well data after the clustering process by using the stage division program through the production stage division module comprises the following steps:
s21, judging that the gas well production mode is an oil pipe production mode, a casing production mode and an annulus production mode according to the gas well data;
and S22, dividing the gas well production stage into fixed-production reduced-pressure or fixed-pressure reduced-pressure production according to the gas well production mode and the gas production rate data corresponding to the gas well production mode.
5. The shale gas well production dynamics prediction method of claim 1, wherein in step four, the method for dynamically predicting shale gas well production by the production dynamics prediction module using a dynamics prediction program comprises:
s31, establishing a modern yield decrement analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and the historical production data; the historical production data comprises the yield and pressure information of the shale gas well to be predicted;
s32, determining a pressure decreasing rule corresponding to the gas well production stage according to the modern yield decreasing analysis numerical model, wherein the shale gas yield decreasing rule comprises the following steps: performing exponential decrement law, hyperbolic decrement law and/or harmonic decrement law, performing pressure decrement prediction or yield decrement prediction in a plurality of stable production stages in the gas well production stage, and correspondingly acquiring shale gas reserve information in the plurality of stable production stages or stable pressure stages;
and S33, establishing a numerical well testing model according to the shale gas yield decreasing rule and/or the shale gas pressure decreasing rule, analyzing a plurality of shale gas reserves, and acquiring the recoverable reserves of the gas well.
6. The shale gas well production dynamic prediction system of the shale gas well production dynamic prediction method in real time according to any one of claims 1 to 5, wherein the shale gas well production dynamic prediction system comprises:
the system comprises a shale gas well data acquisition module, a data clustering processing module, a production stage division module, a central control module, a production dynamic prediction module, a prediction result evaluation early warning module, a data cloud storage module and an update display module;
the shale gas well data acquisition module is connected with the central control module and used for acquiring shale gas well data to be predicted through data acquisition equipment;
the data clustering processing module is connected with the central control module and is used for clustering the acquired shale gas well data to be predicted through a data clustering program;
the production stage division module is connected with the central control module and used for dividing the production stages of the shale gas wells according to the shale gas well data after clustering processing through a stage division program;
the central control module is connected with the shale gas well data acquisition module, the data clustering processing module, the production stage division module, the production dynamic prediction module, the prediction result evaluation early warning module, the data cloud storage module and the display module and is used for controlling the normal operation of each module of the shale gas well production dynamic prediction system through a central processing unit;
the production dynamic prediction module is connected with the central control module and used for dynamically predicting the shale gas well production through a dynamic prediction program and generating a dynamic prediction report;
the prediction result evaluation early warning module is connected with the central control module and is used for evaluating and correcting the production dynamic prediction result through a result evaluation program and carrying out early warning notification on an abnormal prediction result;
the cloud storage module is connected with the central control module and used for storing the obtained shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the abnormity early warning notification through a cloud database server;
and the updating display module is connected with the central control module and used for updating the acquired shale gas well data to be predicted, the shale gas well data after clustering, the production stage division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormity early warning notice through an updating program and displaying the updated data through a high-definition LED display.
7. The shale gas well production dynamics prediction system of claim 6 wherein the production staging module comprises:
the data extraction unit is used for extracting the shale gas well data after the clustering processing;
the mode judging unit is used for identifying the extracted shale gas well data according to preset data information of different production modes and judging the production mode corresponding to the extracted shale gas well data;
and the dividing unit is used for dividing the gas well production stage into constant production and reduced pressure or constant pressure reduced production according to the judged gas well production mode and the gas production rate data corresponding to the gas well production mode.
8. The shale gas well production dynamics prediction system of claim 6 wherein the production dynamics prediction module comprises:
the model construction unit is used for establishing a modern yield decrement analysis numerical model based on the acquired data of the shale gas well to be predicted, the production stage division result and the historical production data;
the rule determining unit is used for substituting the gas production data of different stages into a modern yield decrement analysis numerical model and determining a pressure decrement rule corresponding to the gas well production stage;
and the report generating unit is used for dynamically predicting the shale gas well production according to the determined pressure decreasing rule, generating a dynamic prediction report and outputting and displaying the dynamic prediction report.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the shale gas well production dynamics prediction method of any one of claims 1 to 5 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the shale gas well production dynamics prediction method of any one of claims 1 to 5.
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