A method and system for predicting oil and gas bearing property of seismic beads based on reservoir boundary constraint

Abstract

The application provides a reservoir boundary constraint-based seismic string bead oil and gas bearing property prediction method and system, which comprises the following steps: obtaining a preliminary prediction result of seismic string bead oil and gas bearing property; obtaining integral energy spectrum attributes of post-stack seismic data, and setting an integral energy spectrum attribute value corresponding to an on-well emptying leakage position as a threshold value; obtaining the range and boundary of a subsurface reservoir by threshold value delineation of the integral energy spectrum attributes; and using the delineated range and boundary of the subsurface reservoir to constrain the preliminary prediction result of the seismic string bead oil and gas bearing property, thereby obtaining a final result of seismic string bead oil and gas bearing property prediction. The seismic string bead oil and gas bearing property prediction result obtained by the method can more accurately show the boundary and range of the subsurface carbonate karst cave reservoir oil and gas bearing property represented by the seismic string bead, and the seismic string bead oil and gas bearing property prediction result has higher accuracy, which is helpful for the application of the seismic string bead oil and gas bearing property prediction result in well trajectory design and while-drilling tracking.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of carbonate rock seismic reservoir prediction, and relates to a reservoir boundary constraint-based seismic bead oil and gas bearing property prediction method and system. BACKGROUND

[0002] Seismic beads, also known as beaded seismic facies, are one of the typical seismic responses of carbonate cave reservoirs. How to further determine the oil and gas bearing property inside the seismic beads is a hot and difficult point in recent years. At present, the oil and gas bearing property prediction of carbonate seismic beads mainly includes a method based on prestack seismic data and a method based on poststack seismic data. The method based on prestack seismic data mainly detects the oil and gas bearing property of seismic beads through prestack AVO analysis technology (Xianqiang et al., 2017, 32: 260-265), prestack AVO inversion technology (Yu et al., 2017, 39: 191-198), prestack absorption coefficient, etc. However, due to the low signal-to-noise ratio of prestack seismic data, the oil and gas bearing property prediction method based on prestack seismic data cannot achieve ideal oil and gas bearing property prediction results in some cases. The oil and gas bearing property prediction method of seismic beads based on poststack seismic data mainly starts from the "high-frequency attenuation and low-frequency resonance" phenomenon in the frequency domain (Feng et al., 2016, 26: 77-79). This phenomenon refers to the fact that when seismic waves pass through oil and gas bearing reservoirs, high-frequency components are absorbed and low-frequency components are increased due to internal friction. Since the "high-frequency attenuation and low-frequency resonance" phenomenon exists, a series of frequency-based seismic attributes based on poststack seismic data can be extracted in the frequency domain to reflect this phenomenon, thereby predicting the oil and gas bearing property of seismic beads. These frequency-based seismic attributes based on poststack seismic data include low-frequency resonance, average frequency, absorption coefficient, amplitude spectrum gradient, etc. (Li et al., 2015, 20: 72-78), and one or more of them can be used to predict the oil and gas bearing property of seismic beads. Although the oil and gas bearing property of seismic beads can be predicted by using frequency-based seismic attributes based on poststack seismic data, the prediction result cannot accurately reflect the true oil and gas bearing range and boundary of the underground, which is not conducive to the application of the oil and gas bearing detection result of seismic beads in well trajectory design and while-drilling tracking. SUMMARY

[0003] In view of the problems in the prior art, the application provides a reservoir boundary constraint-based seismic bead oil and gas bearing property prediction method and system, so as to accurately display the oil and gas bearing range and boundary of the underground carbonate cave reservoir represented by the seismic beads and improve the accuracy of the oil and gas bearing property prediction result of the seismic beads.

[0004] The application is implemented by the following technical solutions:

[0005] A method for predicting oil and gas content of seismic beads based on reservoir boundary constraint, comprising the following steps,

[0006] S1: obtaining a preliminary prediction result of oil and gas content of seismic beads;

[0007] S2: obtaining integral energy spectrum attributes of post-stack seismic data, and setting integral energy spectrum attribute values corresponding to lost circulation locations on wells as threshold values;

[0008] S3: describing the range and boundary of a subsurface reservoir by the threshold values and the integral energy spectrum attributes;

[0009] S4: constraining the preliminary prediction result of oil and gas content of seismic beads by the described range and boundary of the subsurface reservoir, to obtain a final result of prediction of oil and gas content of seismic beads.

[0010] Preferably, before obtaining the preliminary prediction result of oil and gas content of seismic beads in the step S1, a preliminary prediction method is determined according to the change of the spectrum of a wellbore seismic trace of an oil and gas bearing well relative to the spectrum of a wellbore seismic trace of a dry well in a region to be studied.

[0011] Preferably, the determination of the prediction method comprises the following process:

[0012] S11: performing spectrum analysis on the wellbore seismic trace of the dry well and the wellbore seismic trace of the oil and gas bearing well in the region to be studied;

[0013] S12: if the spectrum of the wellbore seismic trace of the oil and gas bearing well is low-frequency resonance relative to the spectrum of the wellbore seismic trace of the dry well, then a low-frequency resonance attribute is used to preliminarily predict the oil and gas content of seismic beads, to obtain the preliminary prediction result of oil and gas content of seismic beads; if the spectrum of the wellbore seismic trace of the oil and gas bearing well is high-frequency attenuation relative to the spectrum of the wellbore seismic trace of the dry well, then an amplitude spectrum gradient attribute is used to preliminarily predict the oil and gas content of seismic beads, to obtain the preliminary prediction result of oil and gas content of seismic beads.

[0014] Preferably, before obtaining the integral energy spectrum attributes of the post-stack seismic data and the threshold values corresponding to the integral energy spectrum attributes in the step S2, the post-stack seismic data need to be transformed into a time-frequency domain.

[0015] Preferably, the post-stack seismic data are transformed into the time-frequency domain by using a generalized S transform.

[0016] Preferably, before setting the integral energy spectrum attribute values as threshold values, the integral energy spectrum attributes are calibrated by using lost circulation locations on wells in the region to be studied, to determine the threshold values.

[0017] Preferably, the specific process of the step S3 is as follows:

[0018] The integral energy spectrum attribute in the step S2 is compared with a threshold value, if the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is not less than the threshold value, the integral energy spectrum attribute value is reserved, if the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is less than the threshold value, the integral energy spectrum attribute value is eliminated, and the range and boundary of the underground reservoir are depicted.

[0019] Preferably, the constraint process is specifically: if the preliminary prediction result of the oil and gas prediction of the seismic beads in the step S1 is within the range and boundary depicted in the step S3, the preliminary prediction result is reserved; if the preliminary prediction result of the oil and gas prediction of the seismic beads in the step S1 is outside the range and boundary depicted in the step S3, the preliminary prediction result is eliminated, thereby obtaining the final result of the oil and gas prediction of the seismic beads.

[0020] Preferably, the process of S1-S4 is repeated to obtain the integral energy spectrum attribute body, and the final prediction result of the oil and gas prediction of the seismic beads is obtained.

[0021] A reservoir boundary constraint-based oil and gas prediction method of seismic beads, comprising,

[0022] A data acquisition module is used for obtaining a preliminary prediction result of oil and gas prediction of seismic beads.

[0023] A threshold setting module is used for obtaining an integral energy spectrum attribute of post-stack seismic data, and setting the integral energy spectrum attribute value corresponding to the lost circulation location on the well as a threshold value.

[0024] A reservoir boundary depiction module is used for depicting the range and boundary of the underground reservoir through the threshold value and the integral energy spectrum attribute.

[0025] A constraint module is used for constraining the preliminary prediction result of the oil and gas prediction of the seismic beads by using the depicted range and boundary of the underground reservoir, and obtaining the final result of the oil and gas prediction of the seismic beads.

[0026] Compared with the prior art, the present application has the following beneficial technical effects:

[0027] The application discloses a reservoir boundary constraint-based seismic string bead oil and gas bearing property prediction method, which utilizes integral energy spectrum attributes of post-stack seismic data, sets integral energy spectrum attribute values corresponding to well emptying and leakage positions as threshold values, utilizes the threshold values and the integral energy spectrum attributes to depict the range and boundary of an underground reservoir, and utilizes the depicted range and boundary of the underground reservoir to constrain a preliminary prediction result of the oil and gas bearing property of the seismic string bead, so as to obtain a final result of the oil and gas bearing property prediction of the seismic string bead. The oil and gas bearing property prediction result constrained by the boundary and the range overcomes the problems of a large prediction range and deviation from the reservoir position in the conventional post-stack method, and is helpful to improve the accuracy of the oil and gas bearing property prediction result of the seismic string bead based on the post-stack seismic data and to the application of the oil and gas bearing property prediction result of the seismic string bead in well trajectory design and while-drilling tracking.

[0028] Further, if the spectrum of the seismic trace beside the oil and gas well is low-frequency resonance relative to the spectrum of the seismic trace beside the dry well, low-frequency resonance attributes are adopted to preliminarily predict the oil and gas bearing property of the seismic string bead, so as to obtain a preliminary prediction result of the oil and gas bearing property of the seismic string bead; if the spectrum of the seismic trace beside the oil and gas well is high-frequency attenuation relative to the spectrum of the seismic trace beside the dry well, amplitude spectrum gradient attributes are adopted to preliminarily predict the oil and gas bearing property of the seismic string bead, so as to obtain a preliminary prediction result of the oil and gas bearing property of the seismic string bead. The method selection is flexible and targeted. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the application, and therefore should not be regarded as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0030] Figure 1 FIG. 1 is a flowchart of the reservoir boundary constraint-based seismic string bead oil and gas bearing property prediction method of the application;

[0031] Figure 2 FIG. 2 is a structural schematic diagram of the reservoir boundary constraint-based seismic string bead oil and gas bearing property prediction system of the application;

[0032] Figure 3 FIG. 3 is a comparison diagram of the spectrum characteristics of the seismic trace beside the oil and gas well (A) and the seismic trace beside the dry well (B) in Embodiment 2;

[0033] Figure 4 FIG. 4 is the post-stack seismic data in Embodiment 2;

[0034] Figure 5 FIG. 5 is a preliminary prediction result of the oil and gas bearing property of the seismic string bead in Embodiment 2 by using the low-frequency resonance attributes on the post-stack seismic data;

[0035] Figure 6 Integral Spectral Attribute for Example 2;

[0036] Figure 7 Carbonate Karst Cave Type Reservoir Range Map for Example 2;

[0037] Figure 8 Final Result Display Map for Seismic Bead Hydrocarbon Prediction for Example 2. DETAILED DESCRIPTION

[0038] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0039] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0040] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0041] In the description of the embodiments of the present application, it should be noted that if the terms "upper", "lower", "horizontal", "inner" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship when the product of the present application is usually placed, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first", "second" and the like are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0042] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly inclined. For example, "horizontal" only means that its direction is relatively more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly inclined.

[0043] In the description of the embodiments of the present application, it also needs to be explained that, unless explicitly specified and limited, if the terms "arrange", "install", "connect", "join" appear, they should be understood in a broad sense, for example, can be fixedly connected, can also be detachably connected, or integrally connected; can be mechanically connected, can also be electrically connected; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0044] The present application will be further described in detail below in combination with the drawings:

[0045] Embodiment 1:

[0046] As Figure 1 shown, a reservoir boundary constraint-based seismic bead oil and gas bearing property prediction method comprises the following steps,

[0047] S1: obtaining a preliminary prediction result of seismic bead oil and gas bearing property:

[0048] Spectrums of wellside seismic traces of dry wells and oil and gas bearing wells in a region to be studied are analyzed; if the spectrum of the wellside seismic trace of the oil and gas bearing well is low-frequency resonance relative to the spectrum of the wellside seismic trace of the dry well, low-frequency resonance attribute is used to preliminarily predict the oil and gas bearing property of the seismic bead, and a preliminary prediction result of the oil and gas bearing property of the seismic bead is obtained; if the spectrum of the wellside seismic trace of the oil and gas bearing well is high-frequency attenuation relative to the spectrum of the wellside seismic trace of the dry well, amplitude spectrum gradient attribute is used to preliminarily predict the oil and gas bearing property of the seismic bead, and a preliminary prediction result of the oil and gas bearing property of the seismic bead is obtained.

[0049] S2: using generalized S transform to transform the post-stack seismic data to time-frequency domain, obtaining integral energy spectrum attribute of the post-stack seismic data, using the air loss position on the well in the region to be studied to calibrate the integral energy spectrum attribute, setting the integral energy spectrum attribute value corresponding to the air loss position on the well as a threshold value;

[0050] S3: delineating the range and boundary of the underground reservoir: comparing the integral energy spectrum attribute in the step S2 with the threshold value, if the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is not less than the threshold value, retaining the integral energy spectrum attribute value, if the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is less than the threshold value, eliminating the integral energy spectrum attribute value, and completing the delineation of the range and boundary of the underground reservoir.

[0051] S4: constraint the preliminary prediction result of the oil and gas content of the seismic beads to obtain the final result of the oil and gas content prediction of the seismic beads, specifically, if the preliminary prediction result of the oil and gas content of the seismic beads in step S1 is within the range and boundary depicted in step S3, the preliminary prediction result is reserved; if the preliminary prediction result of the oil and gas content of the seismic beads in step S1 is outside the range and boundary depicted in step S3, the preliminary prediction result is eliminated, thereby obtaining the final result of the oil and gas content prediction of the seismic beads.

[0052] The process of S1-S4 is repeated to obtain the integral energy spectrum attribute volume, and the final prediction result of the oil and gas content of the three-dimensional seismic beads is obtained.

[0053] The present application first proposes to use the integral energy spectrum attribute value extracted and calibrated by the lost circulation location on the well to calibrate the range and boundary of the underground carbonate karst cave reservoir, to constrain the preliminary result of the conventional seismic bead oil and gas content prediction based on the post-stack frequency class seismic attribute, and to obtain the final result of the seismic bead oil and gas content prediction. The method makes the final result of the seismic bead oil and gas content prediction not only reflect the oil and gas content anomaly of the seismic beads, but also more accurately reflect the range and boundary of the carbonate karst cave reservoir represented by the seismic beads. The oil and gas content prediction result constrained by the boundary and range overcomes the problems of the conventional post-stack method prediction range being too large and deviating from the reservoir location. At the same time, the present application proposes to use the lost circulation location on the well to determine the threshold of the integral energy spectrum attribute, and to depict the integral energy spectrum attribute volume by using the threshold, and to reserve the value not less than the threshold and to eliminate the value less than the threshold, thereby obtaining the range and boundary of the underground carbonate karst cave reservoir represented by the seismic beads. Further, before the preliminary oil and gas content prediction of the seismic beads, the method for the preliminary oil and gas content prediction of the seismic beads is determined by the change of the frequency spectrum of the oil and gas well side track relative to the frequency spectrum of the dry well side track. If the low-frequency resonance is obvious, the low-frequency resonance attribute is used for the preliminary oil and gas content prediction of the seismic beads. If the high-frequency attenuation is obvious, the amplitude spectrum gradient attribute is used for the preliminary oil and gas content prediction of the seismic beads.

[0054] The present application makes the final result of the seismic bead oil and gas content prediction not only indicate the oil and gas content of the seismic beads, but also more accurately display the oil and gas content range and boundary of the underground carbonate karst cave reservoir represented by the seismic beads, improve the accuracy of the seismic bead oil and gas content prediction result, provide good reference data guarantee for well trajectory design and while-drilling tracking work, and help the effective application of the seismic bead oil and gas content prediction result.

[0055] As shown in Figure 2 , a reservoir boundary constrained seismic bead oil and gas content prediction system comprises:

[0056] The data acquisition module 100 is used for acquiring a preliminary prediction result of oil and gas bearing property of the seismic beads.

[0057] The threshold setting module 200 is used for acquiring an integrated energy spectrum attribute of the post-stack seismic data, and setting an integrated energy spectrum attribute value corresponding to the lost circulation location on the well as a threshold value.

[0058] The reservoir boundary delineation module 300 is used for delineating the range and boundary of the underground reservoir by the threshold value and the integrated energy spectrum attribute.

[0059] The constraint module 400 is used for constraining the preliminary prediction result of the oil and gas bearing property of the seismic beads by the delineated range and boundary of the underground reservoir, to obtain a final result of the oil and gas bearing property prediction of the seismic beads.

[0060] Embodiment 2

[0061] The application effect of the present application is illustrated by taking an example of oil and gas bearing property prediction of carbonate rock seismic beads in a practical work area.

[0062] As shown in Figure 3 , it is a comparison chart of spectral characteristics of the oil and gas bearing well (A) and the dry well (B), and it can be seen that the spectrum of the oil and gas bearing well is obviously higher in the low frequency band of the whole spectrum shape, and the attenuation of the high frequency band is relatively not obvious, so the low frequency resonance attribute is selected to detect the oil and gas bearing property of the seismic beads, to obtain a preliminary result of the oil and gas bearing property prediction of the seismic beads, as shown in Figure 4 .

[0063] As shown in Figure 4 , it is post-stack seismic data, and as shown in Figure 5 , it is a preliminary result of the oil and gas bearing property prediction of the seismic beads based on the post-stack seismic data. It can be seen from Figure 5 that although the oil and gas bearing anomaly is shown at the position of the seismic beads, the anomaly also exists at other non-seismic bead positions, and the range of the oil and gas bearing anomaly detected at the position of the seismic beads is also relatively large, which has a large difference with the range and boundary of the actual underground carbonate rock cave type reservoir represented by the seismic beads.

[0064] The post-stack seismic data Figure 4 is transformed into time-frequency domain by using generalized S transform, and the integrated energy spectrum attribute is extracted, as shown in Figure 6 , and then the integrated energy spectrum attribute value corresponding to the lost circulation location on the well is used as a threshold value, the part not less than the threshold value is reserved, and the part less than the threshold value is discarded, so as to delineate the range and boundary of the underground carbonate rock cave type reservoir represented by the seismic beads, as shown in Figure 7 .

[0065] The reservoir range and boundary obtained in Figure 7 are used to constrain the preliminary result of the oil and gas bearing property of the seismic beads, to obtain a final result of the oil and gas bearing property prediction of the seismic beads.Figure 5 Based on the preliminary results of oil and gas prediction, the final results of oil and gas prediction of the seismic beads are obtained, as shown in Figure 8 It can be seen that, Figure 8 Compared with Figure 5 That is, compared with the conventional method, the range of the predicted oil and gas of the seismic beads is obviously reduced, which is more in line with the understanding of the actual well, and no oil and gas is predicted in the non-bead area, which is in line with the geological understanding, and the overall result is more accurate and reasonable, which has more guiding significance for drilling trajectory design and while-drilling tracking.

[0066] The above is only a preferred embodiment of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for predicting oil and gas content based on seismic beads based on reservoir boundary constraints, characterized in that: The following steps are included: S1: Obtain preliminary prediction results of oil and gas content of seismic beads; S2: Obtain the integrated energy spectrum attribute of the post-stack seismic data, and set the integrated energy spectrum attribute value corresponding to the well emptying and leakage position as the threshold; S3: Describing the range and boundary of the underground reservoir by using the threshold and the integrated energy spectrum attribute; S4: constraining the preliminary prediction result of the oil and gas content of the seismic beads by using the range and boundary of the characterized underground reservoir to obtain the final result of the oil and gas content prediction of the seismic beads; In step S1, before obtaining the preliminary prediction result of the oil and gas content of the seismic beads, a preliminary prediction method is determined based on the frequency spectrum change of the oil and gas well bypass channel in the study area relative to the frequency spectrum of the dry well bypass channel; Before obtaining the integrated energy spectrum attribute of the post-stack seismic data and the threshold value corresponding to the integrated energy spectrum attribute in step S2, the post-stack seismic data needs to be transformed into the time-frequency domain; The determination of the prediction method includes the following process: S11: Spectral analysis of the seismic traces near dry wells and oil and gas wells in the study area; S12: If the spectrum of the seismic trace near the oil and gas well is a low-frequency resonance relative to the spectrum of the seismic trace near the dry well, the low-frequency resonance attribute is used to make a preliminary prediction of the oil and gas content of the seismic beads, and a preliminary prediction result of the oil and gas content of the seismic beads is obtained; if the spectrum of the seismic trace near the oil and gas well is a high-frequency attenuation relative to the spectrum of the seismic trace near the dry well, the amplitude spectrum gradient attribute is used to make a preliminary prediction of the oil and gas content of the seismic beads, and a preliminary prediction result of the oil and gas content of the seismic beads is obtained.

2. The method for predicting oil and gas content based on seismic beads and reservoir boundary constraints according to claim 1, characterized in that: The post-stack seismic data are transformed into the time-frequency domain using a generalized S-transform.

3. The method for predicting oil and gas content based on seismic beads based on reservoir boundary constraints according to claim 1, characterized in that: Before setting the integrated energy spectrum attribute value as the threshold, the integrated energy spectrum attribute is calibrated using the wellbore loss position in the area to be studied, so as to determine the threshold.

4. The method for predicting oil and gas content based on seismic beads and reservoir boundary constraints according to claim 1, characterized in that: The specific process of step S3 is: The integral energy spectrum attribute in step S2 is compared with a threshold value. If the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is not less than the threshold value, the integral energy spectrum attribute value is retained. If the integral energy spectrum attribute value corresponding to the integral energy spectrum attribute is less than the threshold value, the integral energy spectrum attribute value is discarded to complete the characterization of the range and boundary of the underground reservoir.

5. The method for predicting oil and gas content based on seismic beads and reservoir boundary constraints according to claim 1, characterized in that: The constraint process is specifically as follows: if the preliminary prediction result of the oil and gas content of the seismic beads described in step S1 is within the range and boundary depicted in step S3, the preliminary prediction result is retained; if the preliminary prediction result of the oil and gas content of the seismic beads described in step S1 is outside the range and boundary depicted in step S3, the preliminary prediction result of the prediction is eliminated, thereby obtaining the final result of the seismic bead oil and gas content prediction.

6. The method for predicting oil and gas content based on seismic beads based on reservoir boundary constraints according to claim 1, characterized in that: Repeat the S1-S4 process to obtain the integrated energy spectrum attribute volume and obtain the final prediction result of the three-dimensional seismic bead oil and gas properties.

7. A seismic bead oil and gas prediction system based on reservoir boundary constraints, characterized by: Used to implement the oil and gas prediction method based on reservoir boundary constraints of seismic beads as described in any one of claims 1 to 6, include, Data acquisition module: used to obtain preliminary prediction results of oil and gas content of seismic beads; Threshold setting module: used to obtain the integral energy spectrum attribute of post-stack seismic data and set the integral energy spectrum attribute value corresponding to the well emptying and leakage position as the threshold; Reservoir boundary characterization module: used for characterizing the scope and boundary of the underground reservoir by using the threshold value and the integrated energy spectrum attribute; Constraint module: used to constrain the preliminary prediction result of the oil and gas content of the seismic beads by using the range and boundary of the described underground reservoir to obtain the final result of the seismic beads oil and gas content prediction.

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