CN112101625B - Shale gas well production dynamic prediction method and system - Google Patents
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Abstract
The invention belongs to the technical field of oil and gas resource dynamic prediction, and discloses a shale gas well production dynamic prediction method and a shale gas well production dynamic prediction system, wherein the shale gas well production dynamic prediction system comprises the following steps: the system comprises a shale gas well data acquisition module, a data clustering processing module, a production phase division module, a central control module, a production dynamic prediction module, a prediction result evaluation and early warning module, a data cloud storage module and an updating display module. According to the method, the data clustering processing module updates the feedback word set according to feedback, and the updated feedback word set is used for clustering the acquired shale gas well data to be predicted, so that the accuracy and the efficiency of data clustering are improved; the production dynamic prediction module automatically identifies the production mode according to common parameters of the shale gas well, automatically segments the production stage, automatically predicts the shale gas reserves, effectively avoids the influence of subjective factors of people on the yield prediction, and improves the prediction accuracy and efficiency.
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, shale gas is sourced from biochemical gases, thermally generated gases, typically in free form in natural cracks and pores, or in adsorbed form on the surface of kerogen, clay particles, and in very small amounts stored in dissolved form in asphaltenes. Unlike conventional reservoir gas reservoirs, shale is both a source rock for natural gas production and a reservoir and cap layer for gathering and preserving natural gas. Shale gas reservoir permeability is low, and the exploitation degree of difficulty is great, need to realize effective development through multiple methods such as horizontal well drilling, multistage fracturing technique, because geological conditions and process level exist the difference, the gas well productivity is different, probably has the phenomenon that the same region difference is great.
Meanwhile, most of the existing unconventional shale gas well production dynamic prediction methods require that the gas well has started to produce, namely, the existing production dynamic data of the target well is utilized to predict the production dynamic of a period of time in the future. However, in the actual development process, the mine often needs to predict and obtain the production dynamics of the 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 number of grids is large, and the calculation cost is high. Thus, a new dynamic prediction method for shale gas well production is needed.
Through the above analysis, the problems and defects existing in the prior art are as follows: the existing shale gas well production dynamic prediction method needs to predict and obtain the production dynamic of the gas well before the gas well starts to produce, the required data are 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.
Disclosure of Invention
Aiming at the problems existing 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 that a 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 phase division module, a central control module, a production dynamic prediction module, a prediction result evaluation and early warning module, a data cloud storage module and an updating display module.
The shale gas well data acquisition module is connected with the central control module and is used for acquiring data of the shale gas well to be predicted through data acquisition equipment;
the data clustering processing module is connected with the central control module and is used for carrying out clustering processing on the acquired shale gas well data to be predicted through a data clustering program;
the production phase dividing module is connected with the central control module and is used for dividing the production phase of the shale gas well according to the shale gas well data after clustering treatment through a phase dividing program;
the central control module is connected with the shale gas well data acquisition module, the data clustering processing module, the production phase division module, the production dynamic prediction module, the prediction result evaluation and 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 the central processor;
the production dynamic prediction module is connected with the central control module and is used for dynamically predicting the production of the shale gas well 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 the abnormal prediction result;
the cloud storage module is connected with the central control module and used for storing the shale gas well data to be predicted, the shale gas well data after clustering, the production phase division result, the dynamic prediction report, the evaluation correction result and the abnormal early warning notification through the cloud database server;
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 subjected to clustering processing, the production phase division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormal early warning notification through an updating program and displaying through a high-definition LED display.
Further, the production phase division module includes:
the data extraction unit is used for extracting the shale gas well data after the clustering treatment;
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;
the dividing unit is used for dividing the production stage of the gas well into constant production depressurization or constant pressure depressurization according to the judged production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
Further, the production dynamics prediction module includes:
the model building unit is used for building a modern yield decremental 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 bringing the gas production data of different stages into a modern yield decreasing analysis numerical model and determining a pressure decreasing rule corresponding to the production stage of the gas well;
and the report generating unit dynamically predicts the production of the shale gas well according to the determined pressure decreasing rule, and generates a dynamic prediction report for output display.
Another object of the present invention is to provide a shale gas well production dynamic prediction method using the shale gas well production dynamic prediction system, the shale gas well production dynamic prediction method comprising the following steps:
firstly, acquiring data of a shale gas well to be predicted by utilizing data acquisition equipment through a shale gas well data acquisition module; and clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module.
And secondly, dividing the production phase of the shale gas well according to the shale gas well data after clustering treatment by using a production phase dividing module through a phase dividing program.
And thirdly, controlling the normal operation of each module of the shale gas well production dynamic prediction system by using a central control module through a central processor.
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, carrying out evaluation correction on the production dynamic 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.
And step six, the cloud storage module is used for storing the 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 abnormal early warning notification by using a cloud database server.
And step seven, updating the acquired shale gas well data to be predicted, the shale gas well data subjected to clustering processing, the production phase division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormality early warning notice by using an updating display module by using an updating program, and displaying the real-time data by using a high-definition LED display.
Further, in step one, the gas well data includes 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 history data database.
In a first step, the method for clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module includes:
s1, receiving a creation command through a data clustering processing module, and creating a feedback word set;
s2, clustering 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;
and S4, updating the first word weight of the first center word according to the feedback word set, determining the current categories in the clustering categories, and displaying the current categories.
Further, the clustering method further comprises the following steps:
judging whether the first center word is matched with the feedback word in the feedback word set or not;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is negative, inverting the first word weight of the first central word to obtain a third word weight of the first central word;
if not, setting the first word weight of the first center word as a first preset value to obtain a third word weight of the first center word; wherein the third word weight is the same as the first preset value.
Further, in the second step, the method for dividing the production phase of the shale gas well according to the clustered shale gas well data by using the phase dividing program through the production phase dividing module comprises the following steps:
s21, judging whether the gas well production mode is an oil pipe production mode, a casing production mode and an annular production mode according to the gas well data;
s22, dividing the production stage of the gas well into constant production depressurization or constant pressure depressurization according to the production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
Further, in the fourth step, the method for dynamically predicting the shale gas well production by using the dynamic prediction program through the production dynamic prediction module comprises the following steps:
s31, establishing a modern yield decremental 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 comprise the yield and pressure information of the shale gas well to be predicted;
s32, determining a pressure decline rule corresponding to a production stage of the gas well according to a modern yield decline analysis numerical model, and carrying out pressure decline prediction or yield decline prediction of a plurality of stable production stages in the production stage of the gas well, so as to correspondingly acquire shale gas reserves information of the plurality of stable production stages or stable pressure stages;
s33, establishing a numerical well testing model according to shale gas yield decreasing rules and/or shale gas pressure decreasing rules, analyzing a plurality of shale gas reserves and obtaining the recoverable reserves of the gas well.
Further, in step S32, the shale gas yield decreasing rule includes: an exponential decrease law, a hyperbolic decrease law and/or a harmonic decrease law.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program, for, when executed on an electronic device, providing a user input interface to implement the shale gas well production dynamic prediction method.
It is another object of the present invention to provide a computer readable storage medium having stored thereon instructions that, when executed on a computer, cause the computer to perform the shale gas well production dynamic 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 provided by the invention, the feedback word set is updated according to feedback through the data clustering processing module, and the acquired shale gas well data to be predicted is clustered by utilizing the updated feedback word set, so that the accuracy and the efficiency of data clustering are improved; the production dynamic prediction module automatically identifies the production mode according to common parameters of the shale gas well, automatically segments the production stage, automatically predicts the shale gas reserves, effectively avoids the influence of subjective factors of people on the yield prediction, and improves the prediction accuracy and efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings needed in the embodiments of the present application, and it is obvious that the drawings described below are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for dynamically predicting shale gas well production using a dynamic prediction program by a production dynamic prediction module provided by an embodiment of the invention.
FIG. 2 is a block diagram of a shale gas well production dynamic prediction system provided by an embodiment of the invention;
fig. 3 is a flowchart 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 using a data clustering program through a data clustering module according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of a shale gas well production dynamic 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 dividing module; 4. a central control module; 5. a production dynamic prediction module; 6. the prediction result evaluation early warning module; 7. a data cloud storage module; 8. updating the display module.
FIG. 6 is a block diagram of a production phase division module according to an embodiment of the present invention;
in fig. 6: 31. a data extraction unit; 32. a mode judging unit; 33. dividing the units.
FIG. 7 is a block diagram of a production dynamic prediction module provided by 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
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Aiming at the problems existing 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 utilizing data acquisition equipment through a shale gas well data acquisition module; and clustering the acquired shale gas well data to be predicted by using a data clustering program through a data clustering processing module.
S102, dividing the production phase of the shale gas well according to the shale gas well data after clustering by using a phase division program through a production phase division module.
S103, controlling the normal operation of each module of the shale gas well production dynamic prediction system by using a central control module through a central processing unit.
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.
S105, the prediction result evaluation early warning module evaluates and corrects the production dynamic prediction result by using a result evaluation program, and early warning notification is carried out on the abnormal prediction result.
S106, the cloud storage module is used for storing the shale gas well data to be predicted, the shale gas well data after clustering, the production phase division result, the dynamic prediction report, the evaluation correction result and the abnormal early warning notification.
And S107, updating the acquired shale gas well data to be predicted, the shale gas well data subjected to clustering processing, the production phase division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormality early warning notice by using an updating display module by using an updating program, and displaying the real-time data by using a high-definition LED display.
In step S101 provided in the embodiment of the present invention, the gas well data includes 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 history 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 by using a data clustering module includes:
s201, receiving a creation command through a data clustering processing module, and creating a feedback word set.
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 center word of each cluster category in the plurality of cluster categories and a first word weight of the first center word.
S204, updating the first word weight of the first center word according to the feedback word set, determining the current categories in the clustering categories, and displaying the current categories.
The clustering method provided by the embodiment of the invention further comprises the following steps:
judging whether the first center word is matched with the feedback word in the feedback word set or not;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is negative, inverting the first word weight of the first central word to obtain a third word weight of the first central word;
if not, setting the first word weight of the first center word as a first preset value to obtain a third word weight of the first center word; 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 classifying production stages of a shale gas well according to clustered shale gas well data by using a production stage classification module includes:
s301, judging whether the gas well production mode is an oil pipe production mode, a casing production mode and an annular production mode according to the gas well data.
S302, dividing the production stage of the gas well into constant production depressurization or constant pressure depressurization according to the production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
As shown in fig. 4, in step S104 provided by the embodiment of the present invention, the method for dynamically predicting the production of a shale gas well by using a dynamic prediction program through a production dynamic prediction module includes:
s401, establishing a modern yield decremental 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 production and pressure information of the shale gas well to be predicted.
S402, determining a pressure decline rule corresponding to a production stage of the gas well according to a modern yield decline analysis numerical model, and carrying out pressure decline prediction or yield decline prediction of a plurality of stable production stages in the production stage of the gas well, so as to correspondingly acquire shale gas reserves information of the plurality of stable production stages or stable pressure stages.
S403, establishing a numerical well testing model according to shale gas yield decreasing rules and/or shale gas pressure decreasing rules, analyzing a plurality of shale gas reserves and obtaining the recoverable reserves of the gas well.
In step S402 in the embodiment of the present invention, the shale gas yield decreasing rule includes: an exponential decrease law, a hyperbolic decrease law and/or a harmonic decrease law.
As shown in fig. 5, the shale gas well production dynamic prediction system provided by the embodiment of the invention comprises: the system comprises a shale gas well data acquisition module 1, a data clustering processing module 2, a production phase 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 updating display module 8.
The shale gas well data acquisition module 1 is connected with the central control module 4 and is used for acquiring data of the shale gas well 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 carrying out clustering processing on the acquired shale gas well data to be predicted through a data clustering program;
the production phase dividing module 3 is connected with the central control module 4 and is used for dividing the production phase of the shale gas well according to the shale gas well data after clustering treatment through a phase dividing 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 phase 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 updating display module 8 and is used for controlling the normal operation of each module of the shale gas well production dynamic prediction system through the central processor;
the production dynamic prediction module 5 is connected with the central control module 4 and is used for dynamically predicting the production of the shale gas well 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 performing evaluation correction on the production dynamic prediction result through a result evaluation program and performing early warning notification on the abnormal prediction result;
the cloud storage module 7 is connected with the central control module 4 and is used for storing the shale gas well data to be predicted, the shale gas well data after clustering, the production phase division result, the dynamic prediction report, the evaluation correction result and the abnormal early warning notification which are obtained through a cloud database server;
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 abnormal early warning notification through an updating program, and displaying the real-time data through a high-definition LED display.
As shown in fig. 6, the production phase dividing module 3 in the embodiment of the present invention includes:
the data extraction unit 31 is used for extracting shale gas well data after clustering;
a mode judging unit 32, 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;
the dividing unit 33 is configured to divide the production stage of the gas well into a constant production depressurization or a constant pressure depressurization according to the determined production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
As shown in fig. 7, the production dynamic prediction module 5 in the embodiment of the present invention includes:
a model construction unit 51, configured to establish a modern yield decremental analysis numerical model based on acquired data of the shale gas well to be predicted, a production staging result, and historical production data;
the rule determining unit 52 is configured to bring the gas production data of different stages into a modern yield decreasing analysis numerical model, and determine a pressure decreasing rule corresponding to the production stage of the gas well;
the report generating unit 53 dynamically predicts the shale gas well production according to the determined pressure decreasing rule, and generates a dynamic prediction report for output display.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When used in whole or in part, is implemented in the form of a computer program product comprising one or more computer instructions. When loaded or executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more 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)), etc.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. The shale gas well production dynamic prediction method is characterized by comprising the following steps of:
firstly, acquiring data of a shale gas well to be predicted by utilizing data acquisition equipment through a shale gas well data acquisition module; 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 using a data clustering program through a data clustering processing module specifically comprises the following steps:
s11, receiving a creation command through a data clustering processing module, and creating a feedback word set;
s12, clustering shale gas well data to be predicted according to the feedback word set by using a data clustering program, and clustering the shale gas well data to be predicted 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 center word according to the feedback word set, determining the current categories in the clustering categories, and displaying the current categories;
dividing the production phase of the shale gas well according to the shale gas well data after clustering treatment by a production phase dividing module through a phase dividing program;
controlling the normal operation of each module of the shale gas well production dynamic prediction system by using a central control module through a central processing unit;
fourthly, dynamically predicting the shale gas well production by utilizing a dynamic prediction program through a production dynamic prediction module, and generating a dynamic prediction report;
step five, evaluating and correcting the dynamic prediction result of the production by using a result evaluation program through a prediction result evaluation early warning module, and carrying out early warning notification on the abnormal prediction result;
step six, the cloud storage module is used for storing the shale gas well data to be predicted, the shale gas well data after clustering, the production phase division result, the dynamic prediction report, the evaluation correction result and the abnormal early warning notification by using a cloud database server;
and step seven, updating the acquired shale gas well data to be predicted, the shale gas well data subjected to clustering processing, the production phase division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormality early warning notice by using an updating display module by using an updating program, and displaying the real-time data by using a high-definition LED display.
2. The shale gas well production dynamic prediction method of claim 1, wherein in step one, 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 history data database.
3. The shale gas well production dynamic prediction method of claim 1, wherein the clustering process method further comprises:
judging whether the first center word is matched with the feedback word in the feedback word set or not;
when the judgment result is yes and the second word weight of the feedback word matched with the first central word is negative, inverting the first word weight of the first central word to obtain a third word weight of the first central word;
if not, setting the first word weight of the first center word as a first preset value to obtain a third word weight of the first center word; wherein the third word weight is the same as the first preset value.
4. The method for dynamically predicting production of shale gas wells according to claim 1, wherein in the step two, the method for classifying the production stages of the shale gas wells according to the clustered shale gas well data by using a production stage classification module comprises the following steps:
s21, judging whether the gas well production mode is an oil pipe production mode, a casing production mode and an annular production mode according to the gas well data;
s22, dividing the production stage of the gas well into constant production depressurization or constant pressure depressurization according to the production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
5. The method for dynamically predicting production of a shale gas well as recited in claim 1, wherein in step four, the method for dynamically predicting production of a shale gas well by the production dynamic prediction module using a dynamic prediction program comprises:
s31, establishing a modern yield decremental 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 comprise the yield and pressure information of the shale gas well to be predicted;
s32, determining a pressure decreasing rule corresponding to the production stage of the gas well according to a modern yield decreasing analysis numerical model, wherein the pressure decreasing rule corresponding to the production stage of the gas well comprises the following steps: an index decreasing rule, a hyperbolic decreasing rule and/or a reconciling decreasing rule, and performing pressure decreasing prediction or yield decreasing prediction of a plurality of stable production stages in the production stage of the gas well, and correspondingly obtaining shale gas reserves information of the plurality of stable production stages or stable pressure stages;
s33, establishing a numerical well testing model according to shale gas yield decreasing rules and/or shale gas pressure decreasing rules, analyzing a plurality of shale gas reserves and obtaining the recoverable reserves of the gas well.
6. A shale gas well production dynamic prediction system for a shale gas well production dynamic prediction method according to any one of claims 1-5, characterized in that 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 phase dividing module, a central control module, a production dynamic prediction module, a prediction result evaluation and early warning module, a data cloud storage module and an updating display module;
the shale gas well data acquisition module is connected with the central control module and is used for acquiring data of the shale gas well to be predicted through data acquisition equipment;
the data clustering processing module is connected with the central control module and is used for carrying out clustering processing on the acquired shale gas well data to be predicted through a data clustering program;
the production phase dividing module is connected with the central control module and is used for dividing the production phase of the shale gas well according to the shale gas well data after clustering treatment through a phase dividing program;
the central control module is connected with the shale gas well data acquisition module, the data clustering processing module, the production phase division module, the production dynamic prediction module, the prediction result evaluation and 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 the central processor;
the production dynamic prediction module is connected with the central control module and is used for dynamically predicting the production of the shale gas well 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 the abnormal prediction result;
the cloud storage module is connected with the central control module and used for storing the shale gas well data to be predicted, the shale gas well data after clustering, the production phase division result, the dynamic prediction report, the evaluation correction result and the abnormal early warning notification through the cloud database server;
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 subjected to clustering processing, the production phase division result, the dynamic prediction report, the evaluation correction result and the real-time data of the abnormal early warning notification through an updating program and displaying through a high-definition LED display.
7. The shale gas well production dynamic 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 treatment;
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;
the dividing unit is used for dividing the production stage of the gas well into constant production depressurization or constant pressure depressurization according to the judged production mode of the gas well and the gas production data corresponding to the production mode of the gas well.
8. The shale gas well production dynamic prediction system of claim 6, wherein the production dynamic prediction module comprises:
the model building unit is used for building a modern yield decremental 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 bringing the gas production data of different stages into a modern yield decreasing analysis numerical model and determining a pressure decreasing rule corresponding to the production stage of the gas well;
and the report generating unit dynamically predicts the production of the shale gas well according to the determined pressure decreasing rule, and generates a dynamic prediction report for output display.
9. A computer program product stored on a computer readable medium, comprising a computer readable program, which when executed on an electronic device, provides a user input interface to implement the shale gas well production dynamic prediction method of any of claims 1-5.
10. A computer readable storage medium storing instructions that when executed on a computer cause the computer to perform the shale gas well production dynamic prediction method of any of claims 1-5.
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