Oil and gas yield prediction method and system based on fracturing microseism event

Abstract

The invention discloses an oil and gas yield prediction method and system based on a fracturing microseismic event, and relates to the technical field of oil and gas development, and the method comprises the steps: screening out a target effective event from a plurality of microseismic events; performing moment tensor seismic source mechanism inversion processing on each target effective event to obtain micro-seismic data corresponding to each target effective event; calculating the total oil gas amount of the tensional artificial seam formed by each target effective event; migration paths of oil gas filled in the tensional artificial seams formed by the target effective events migrated to a shaft and the length of each migration path are analyzed; drawing a trend curve of the quantity of oil and gas migrated into the shaft and time in the multiple target effective events, and obtaining a prediction result of the oil and gas yield based on the trend curve; the oil and gas yield curve is simulated according to the microseism number of each section of the horizontal well, the oil and gas yield is predicted, and the method has important guiding significance on unconventional oil and gas reasonable arrangement production.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas development, and more specifically, to a method and system for predicting oil and gas production based on fracturing microseismic events. Background Art

[0002] Conventional oil and gas production is mainly determined by the content of organic matter such as hydrocarbons in the reservoir. The porosity and permeability of sandstone reservoirs are relatively stable, the production of single wells decreases slowly, and the geological reserves and recovery rates of oil and gas are relatively easy to estimate. Unconventional oil and gas are mainly related to the complex area of ​​the artificial fracture network generated by fracturing. There are many factors that change the migration of oil and gas and the connectivity of the artificial fracture network, and the production of a single well is difficult to predict. At present, some scholars divide the fractures of shale gas wells into segments, and construct a production prediction model for the non-steady-state flow stage and a production decline model to predict production. Other scholars use characteristic data, seepage data, oil content data, and engineering data in the target reservoir to predict oil and gas production through a spectral clustering model. However, these methods all analyze oil and gas production from physical properties such as hydrocarbon content. The migration channels of unconventional oil and gas are important factors affecting production and stable production. Therefore, the above methods cannot accurately predict unconventional oil and gas production.

[0003] In view of this, this application is hereby made. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for predicting oil and gas production based on fracturing microseismic events to solve the problems existing in the above-mentioned background technology.

[0005] The above technical objectives of the present invention are achieved through the following technical solutions:

[0006] In a first aspect, the present application provides a method for predicting oil and gas production based on fracturing microseismic events, comprising the following specific steps:

[0007] Acquire multiple microseismic events generated by hydraulic fracturing, and determine a microseismic event that meets preset conditions among the multiple microseismic events as a target effective event;

[0008] Perform moment tensor focal mechanism inversion processing on each target effective event to obtain the microseismic data corresponding to each target effective event;

[0009] The total amount of oil and gas in the tensile artificial fractures formed by each effective target event is calculated based on the microseismic data of each effective target event and the diameter of the proppant particles used to form the hydraulic fracturing corresponding to the effective target event;

[0010] The spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event are respectively subjected to adjacent event correlation analysis and cluster analysis, and the migration path of the oil and gas filled in the tensile artificial fracture formed by each target effective event to the wellbore and the length of each migration path are obtained;

[0011] Based on the total amount of oil and gas in each target effective event and the length of the migration path, a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events is drawn, and the prediction result of oil and gas production is obtained based on the trend curve.

[0012] Based on the above technical solution, the present invention can also be improved as follows.

[0013] Furthermore, the above-mentioned pre-conditions are specifically:

[0014] The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

[0015] Furthermore, the above total amount of oil and gas is specifically:

[0016]

[0017] Where V represents the total amount of oil and gas, i represents the ordinal number of the fracture surface in the tensile artificial fracture formed by the target effective event, n represents the total number of fracture surfaces, r represents the disk radius of the fracture surface, d represents the disk thickness of the fracture surface, and the disk thickness or the thickness of the oil and gas in the fracture represents the proppant particle diameter.

[0018] Furthermore, the disk radius of the above crack surface is specifically:

[0019]

[0020] In the formula, r0 represents the disk radius of the fracture surface, K represents a constant, K=1.32, V represents the propagation speed of microseismic in the formation, and f0 represents the angular frequency of rock fracture.

[0021] Furthermore, the spatial position of each target valid event is subjected to adjacent event correlation analysis, specifically:

[0022] For multiple microseismic events generated by the same rock fracture, it is determined that the locations of the multiple microseismic events are close or adjacent.

[0023] Furthermore, the above-mentioned cluster analysis of the hydraulic fracturing processes that form the corresponding target effective events is as follows:

[0024] Different fracturing processes lead to different rock fracture properties, and multiple target effective events are clustered into multiple event clusters;

[0025] According to the analysis results of the correlation analysis of adjacent events, the tensile artificial fractures of each target effective event in the event cluster, and the connection relationship between each event cluster, the migration paths of the oil and gas filled in the tensile artificial fractures formed by each target effective event to the wellbore and the length of each migration path are obtained.

[0026] In a second aspect, the present application provides an oil and gas production prediction system based on fracturing microseismic events, which is applied to any one of the oil and gas production prediction methods based on fracturing microseismic events in the first aspect, including:

[0027] The first module is used to obtain multiple microseismic events generated by hydraulic fracturing, and determine the microseismic events that meet preset conditions as target effective events among the multiple microseismic events;

[0028] The second module is used to perform moment tensor focal mechanism inversion processing on each target effective event to obtain microseismic data corresponding to each target effective event;

[0029] The third module is used to calculate the total amount of oil and gas in the tension artificial fracture formed by each target effective event based on the microseismic data of each target effective event and the diameter of the proppant particles used to form the hydraulic fracturing corresponding to the target effective event;

[0030] The fourth module is used to perform adjacent event correlation analysis and cluster analysis on the spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event, and obtain the migration path of the oil and gas filled in the tensile artificial fracture formed by each target effective event to the wellbore, as well as the length of each migration path;

[0031] The fifth module is used to draw a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events based on the total amount of oil and gas and the length of the migration path in each target effective event, and obtain the prediction result of oil and gas production based on the trend curve.

[0032] Furthermore, in the above first module, the preset conditions are specifically:

[0033] The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

[0034] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0035] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0036] Compared with the prior art, the present invention has at least the following beneficial effects:

[0037] In this application, based on the microseismic properties and distribution of fracturing, effective events are first screened and the microseismic rock fracture area is inverted. Then the volume of the artificial fracture network and the oil and gas migration path are analyzed, and the different times for oil and gas to arrive at the wellbore are calculated. Finally, the oil and gas production trend curve is drawn to complete the prediction of oil and gas production.

[0038] In the present application, hydraulic fracturing is an effective means to increase the production of unconventional oil and gas. Hydraulic fracturing causes rock fractures to induce microseismic events, and the distribution of microseismic events is highly correlated with oil and gas production. The present application uses the spatial position of microseismic events to measure the distance from the microseismic event to the well trajectory, that is, the length of the oil and gas migration channel, and calculates the time it takes for the oil and gas to move to the wellbore. The oil and gas in a large number of fractures move to the wellbore from different directions. Since the migration speed of oil and gas in the formation fractures is basically the same, if the length of the fracture channel is the same, the time it takes to reach the wellbore is the same. The number of microseismic events in each section of the horizontal well can be used to simulate a single oil and gas production curve, thereby realizing the prediction of oil and gas production. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0040] Figure 1 A flowchart of the method implementation in the embodiment of the present invention;

[0041] Figure 2 This is a top view of the distribution of microseismic artificial fracture events after hydraulic fracturing in an embodiment of the present invention, wherein different colors represent effective events generated by different fracturing stages.

[0042] Figure 3 A schematic diagram of different passage paths of oil and gas migration to a wellbore in an embodiment of the present invention, wherein different colors represent the migration paths of effective events generated by different fracturing stages;

[0043] Figure 4 A schematic diagram of actual oil and gas production and oil and gas production trends predicted by microseismic events in an embodiment of the present invention;

[0044] Figure 5 4 is a flow chart of the method for predicting oil and gas production in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0048] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0049] Embodiment 1: After unconventional oil and gas fracturing is put into production, some wells maintain stable production for 3-4 years, while some wells suddenly and significantly reduce production after 2-3 months of trial production. There may be many factors causing large differences in oil and gas production. If the production trend of oil and gas wells after fracturing can be predicted, it will be helpful for oil and gas development and production deployment. Therefore, in order to accurately predict the production of unconventional oil and gas, this embodiment provides an oil and gas production prediction method based on fracturing microseismic events, such as Figure 5 As shown, the specific steps include:

[0050] S1. Acquire multiple microseismic events generated by hydraulic fracturing, and determine the microseismic events that meet preset conditions as target effective events among the multiple microseismic events.

[0051] Optionally, the above preset conditions are specifically:

[0052] The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

[0053] Among them, due to the microseismic events generated by hydraulic fracturing, some rocks are broken to form tensile fractures, and sand and other supports form channels; some rocks are broken to form shear fractures, which cannot become oil and gas channels; and some rocks are only elastically deformed but not broken to form cracks. When screening out events with strong signal-to-noise ratios from the microseismic events that have been located, the microseismic events with large S-wave and P-wave energy ratios, or the isotropic (ISO) or compensated linear vector dipole (CLVD) components obtained by moment tensor focal mechanism inversion, are tensile artificial fractures; specifically, from microseismic events with a signal-to-noise ratio greater than 3, the time when the S-wave energy is greater than the P-wave energy is screened, and it is generally believed that the S-wave energy generated by tensile fractures is greater than the P-wave energy.

[0054] S2. Perform moment tensor focal mechanism inversion processing on each target effective event to obtain microseismic data corresponding to each target effective event.

[0055] Among them, the moment tensor focal mechanism inversion is performed on each target effective event and decomposed into three components: double couple (DC, representing shear), isotropic (ISO, mainly volume expansion) or compensated linearvector dipole (CLVD, a mixture of the two).

[0056] S3. Calculate the total amount of oil and gas in the tension artificial fractures formed by each target effective event based on the microseismic data of each target effective event and the diameter of the proppant particles forming the hydraulic fracturing corresponding to the target effective event.

[0057] Among them, in order to simplify the calculation, it can be assumed that the rock fracture surface produced by hydraulic fracturing is disc-shaped, and the volume of oil and gas filled in a single fracture is the fracture surface, which is approximately the product of the area and thickness of the disc; the radius of the fracture surface inverted by the microseismic event, the thickness of the disc (that is, the fracture height) is approximately the diameter of the injected proppant particles, and the volume of oil and gas filled in the fracture of a single microseismic event can be calculated, and the sum of the oil and gas volumes of all effective microseismic events can be accumulated to obtain the volume of the artificial fracture network produced by fracturing, that is, the total amount of oil and gas directly produced by the artificial fracture (excluding later pressure changes, the original shear fracture stress changes may become open fractures, and oil and gas precipitated from distant rocks seep into the artificial fracture network channels).

[0058] Optionally, the above total amount of oil and gas is specifically:

[0059]

[0060] Where V represents the total amount of oil and gas, i represents the ordinal number of the fracture surface in the tensile artificial fracture formed by the target effective event, n represents the total number of fracture surfaces, r represents the disk radius of the fracture surface, d represents the disk thickness of the fracture surface, and the disk thickness or the thickness of the oil and gas in the fracture represents the proppant particle diameter.

[0061] Optionally, the disk radius of the above crack surface is specifically:

[0062]

[0063] In the formula, r0 represents the disk radius of the fracture surface, K represents a constant, K=1.32, V represents the propagation speed of microseismic in the formation, and f0 represents the angular frequency of rock fracture.

[0064] S4. Conduct adjacent event correlation analysis and cluster analysis on the spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event, and obtain the migration path of the oil and gas filled in the tensile artificial fractures formed by each target effective event to the wellbore, as well as the length of each migration path.

[0065] Optionally, the above-mentioned adjacent event correlation analysis is performed on the spatial position of each target valid event, specifically:

[0066] S41. For multiple microseismic events caused by the same rock fracture, determine that the locations of the multiple microseismic events are close or adjacent.

[0067] Optionally, the above cluster analysis of the hydraulic fracturing process that forms the corresponding target effective event is specifically as follows:

[0068] S42. Different fracturing processes lead to different properties of rock fracture, and multiple target effective events are clustered into multiple event clusters.

[0069] S43. Based on the analysis results of the correlation analysis of adjacent events, the tensile artificial fractures of each target effective event in the event cluster, and the connection relationship between each event cluster, the migration path of the oil and gas filled in the tensile artificial fractures formed by each target effective event to the wellbore and the length of each migration path are obtained.

[0070] Specifically, according to the spatial position of the located microseismic events, the adjacent event correlation analysis is adopted. It is generally believed that the microseismic events of multiple related microseismic events generated by the same rock fracture are close in position. First, according to the different processes of the fracturing process such as the pre-fluid, the addition of proppant, and temporary plugging, the rock fracture properties are different, so the microseismic event attributes should be different. The microseismic events are divided into clusters with different aggregations according to the time cluster analysis method; then the event clusters are connected to each other to form multiple small channels for oil and gas migration; finally, several small channels converge to form a large channel connected to the wellbore perforation, so as to obtain each migration path and the length of each migration path.

[0071] S5. Based on the total amount of oil and gas in each target effective event and the length of the migration path, a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events is drawn, and a prediction result of the oil and gas production is obtained based on the trend curve.

[0072] Among them, when the formation pressure does not change much, the migration speed of oil and gas at different locations is considered to be the same, that is, oil and gas with the same path length arrive at the wellbore at the same time. According to the length of the oil and gas migration path, the oil and gas volume at different lengths is accumulated, and the production changes of oil and gas in the hydraulic fracturing artificial fracture network over time can be plotted.

[0073] In this embodiment, starting from the micro-earthquakes caused by rock fractures due to fracturing, effective events are screened, the micro-seismic rock fracture area is inverted, the volume of artificial fractures and the length of oil and gas migration paths are analyzed, and the different times when oil and gas arrive at the wellbore are calculated, so as to draw the oil and gas production trend curve; since the high-pressure oil and gas from the target layer fracturing reaches the ground, the oil volume increases slightly, while the natural gas volume increases a lot, it is necessary to adjust the influencing factors in combination with the actual oil and gas production data.

[0074] Specifically, the following is further explained through examples, and the prediction method process can also be found in Figure 1 ,like Figure 1 As shown in the figure, the proposed method for predicting oil and gas production based on fracturing microseismic events is applied to a well hydraulic fracturing microseismic monitoring project to draw the oil and gas production trend curve. The specific steps are as follows:

[0075] 1. Screening of artificial fracture microseismic events: There are 3826 microseismic positioning events, 2730 of which have a signal-to-noise ratio greater than 3. From these, 2541 artificial fracture events with Es:Ep greater than 2 are screened out, such as Figure 2 As shown; among them, there are 23 sections of tight oil hydraulic fracturing, the vertical depth of the fracturing section is 1,800 meters, the horizontal section is 1,600 meters long, the fracturing fluid is viscous slippery water, and the proppant is mainly 100 mesh quartz sand.

[0076] 2. The disk radius of the above fracture surface can be obtained by using the moment tensor focal mechanism inversion process, specifically:

[0077]

[0078] In the formula, r0 represents the disk radius of the fracture surface, K represents a constant, K=1.32, V represents the propagation speed of microseismic in the formation, and f0 represents the angular frequency of rock fracture. Among them, the fracture radius is mainly 5-20m, the quartz sand particle size is 0.254mm, and the volume of oil and gas filled in the fracture of a single microseismic event is about 0.03-0.2m 3 .

[0079] 3. According to the spatial position of each microseismic event, the waveform correlation analysis of adjacent events is used to classify multiple microseismic events of the same rupture as having similar oil and gas migration paths. Then, the pre-fluid, proppant and temporary plugging of different fracturing processes are clustered according to time to form several small channels for oil and gas migration, which are connected to each other to form a large channel to reach the wellbore perforation, such as Figure 3 As shown, the length of the oil and gas migration path ranges from about 10 to 170 m.

[0080] 4. Sort by the length of the oil and gas migration path, accumulate the oil and gas volume of the same path length, the oil and gas migration speed under the formation conditions is about 0.25m / d, calculate the time it takes for the oil and gas to migrate to the wellbore, the longest is about 680 days, and draw the oil and gas production trend curve, such as Figure 4 shown.

[0081] Specifically, the results of the example application are compared with the oil and gas production curve. The oil and gas production predicted by microseismic events is basically consistent with the actual production, and the curve fluctuation trend is the same, which confirms the relative accuracy of the method proposed in this embodiment for predicting the oil and gas production trend based on fracturing microseismic events. When hydraulic fracturing produces a large number of microseismic events and can better describe the artificial fracture network, this method can be used to better predict the oil and gas production trend. This method has important guiding significance for the rational arrangement of unconventional oil and gas production.

[0082] Embodiment 2: The embodiment of the present application provides an oil and gas production prediction system based on fracturing microseismic events, which is applied to an oil and gas production prediction method based on fracturing microseismic events in any one of Embodiment 1, including:

[0083] The first module is used to obtain multiple microseismic events generated by hydraulic fracturing, and determine the microseismic events that meet preset conditions as target effective events among the multiple microseismic events.

[0084] Optionally, in the first module above, the preset conditions are specifically:

[0085] The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

[0086] The second module is used to perform moment tensor focal mechanism inversion processing on each target effective event to obtain the microseismic data corresponding to each target effective event.

[0087] The third module is used to calculate the total amount of oil and gas in the tension artificial fractures formed by each target effective event based on the microseismic data of each target effective event and the diameter of the proppant particles used to form the hydraulic fracturing corresponding to the target effective event.

[0088] The fourth module is used to perform adjacent event correlation analysis and cluster analysis on the spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event, and obtain the migration path of the oil and gas filled in the tensile artificial fractures formed by each target effective event to the wellbore, as well as the length of each migration path.

[0089] The fifth module is used to draw a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events based on the total amount of oil and gas and the length of the migration path in each target effective event, and obtain the prediction result of oil and gas production based on the trend curve.

[0090] Embodiment 3: The embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, any one of the methods in Embodiment 1 is implemented.

[0091] Embodiment 4: The embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any method in Embodiment 1.

[0092] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for predicting oil and gas production based on fracturing microseismic events, characterized in that: The specific steps include: Acquire multiple microseismic events generated by hydraulic fracturing, and determine a microseismic event that meets preset conditions among the multiple microseismic events as a target effective event; Perform moment tensor focal mechanism inversion processing on each of the target effective events to obtain microseismic data corresponding to each of the target effective events; The total amount of oil and gas in the tensile artificial fractures formed by each effective target event is calculated based on the microseismic data of each effective target event and the diameter of the proppant particles used to form the hydraulic fracturing corresponding to the effective target event; The spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event are respectively subjected to adjacent event correlation analysis and cluster analysis, and the migration path of the oil and gas filled in the tensile artificial fracture formed by each target effective event to the wellbore and the length of each migration path are obtained; Based on the total amount of oil and gas in each target effective event and the length of the migration path, a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events is drawn, and the prediction result of oil and gas production is obtained based on the trend curve.

2. The method for predicting oil and gas production based on fracturing microseismic events according to claim 1, characterized in that: The preset conditions are specifically: The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

3. The method for predicting oil and gas production based on fracturing microseismic events according to claim 1, characterized in that: The total amount of oil and gas is specifically: Where V represents the total amount of oil and gas, i represents the ordinal number of the fracture surface in the tensile artificial fracture formed by the target effective event, n represents the total number of fracture surfaces, r represents the disk radius of the fracture surface, d represents the disk thickness of the fracture surface, and the disk thickness or the thickness of the oil and gas in the fracture represents the proppant particle diameter.

4. The method for predicting oil and gas production based on fracturing microseismic events according to claim 3, characterized in that: The disk radius of the crack surface is specifically: In the formula, r0 represents the disk radius of the fracture surface, K represents a constant, K=1.32, V represents the propagation speed of microseismic in the formation, and f0 represents the angular frequency of rock fracture.

5. The method for predicting oil and gas production based on fracturing microseismic events according to claim 1, characterized in that: The spatial position of each target valid event is analyzed for the correlation between adjacent events, specifically: For multiple microseismic events generated by the same rock fracture, it is determined that the locations of the multiple microseismic events are close or adjacent.

6. The method for predicting oil and gas production based on fracturing microseismic events according to claim 5, characterized in that: Cluster analysis is performed on the hydraulic fracturing processes that form the corresponding target effective events, specifically: Different fracturing processes lead to different rock fracture properties, and multiple target effective events are clustered into multiple event clusters; According to the analysis results of the correlation analysis of adjacent events, the tensile artificial fractures of each target effective event in the event cluster, and the connection relationship between each event cluster, the migration paths of the oil and gas filled in the tensile artificial fractures formed by each target effective event to the wellbore and the length of each migration path are obtained.

7. An oil and gas production prediction system based on fracturing microseismic events, applied to an oil and gas production prediction method based on fracturing microseismic events as claimed in any one of claims 1 to 7, characterized in that: include: The first module is used to obtain multiple microseismic events generated by hydraulic fracturing, and determine the microseismic events that meet preset conditions as target effective events among the multiple microseismic events; The second module is used to perform moment tensor focal mechanism inversion processing on each of the target effective events to obtain microseismic data corresponding to each target effective event; The third module is used to calculate the total amount of oil and gas in the tension artificial fracture formed by each target effective event based on the microseismic data of each target effective event and the diameter of the proppant particles used to form the hydraulic fracturing corresponding to the target effective event; The fourth module is used to perform adjacent event correlation analysis and cluster analysis on the spatial position of each target effective event and the hydraulic fracturing process that forms the corresponding target effective event, and obtain the migration path of the oil and gas filled in the tensile artificial fracture formed by each target effective event to the wellbore, as well as the length of each migration path; The fifth module is used to draw a trend curve of the amount of oil and gas migrated into the wellbore and time in multiple target effective events based on the total amount of oil and gas and the length of the migration path in each target effective event, and obtain the prediction result of oil and gas production based on the trend curve.

8. The oil and gas production prediction system based on fracturing microseismic events according to claim 7, characterized in that: In the first module, the preset condition is specifically: The signal-to-noise ratio of the microseismic event is not less than a threshold, and among multiple microseismic events with a signal-to-noise ratio not less than the threshold, the S-wave energy of the microseismic event is not less than the P-wave energy.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 6 is implemented when the processor executes the computer program.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1-6.

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