Method and system for judging effectiveness of seismic inversion method of fracture-vug type reservoir

Abstract

The invention discloses a method and system for discriminating the effectiveness of a seismic inversion method of a fracture-vug reservoir, and the method comprises the steps: building a reservoir model of the fracture-vug reservoir in a research work area, and building a longitudinal wave impedance model according to the reservoir model of the fracture-vug reservoir and the longitudinal wave impedance value range of the fracture-vug reservoir; the method comprises the following steps: performing convolution forward modeling on a longitudinal wave impedance model of a fracture-vug type reservoir by utilizing seismic data of a research work area to obtain a seismic forward modeling data body, performing seismic inversion on the seismic forward modeling data body to obtain a longitudinal wave impedance body, and explaining the longitudinal wave impedance body by utilizing a longitudinal wave impedance value range of a reservoir model of the fracture-vug type reservoir. Obtaining a reservoir model explained based on a seismic inversion result; the effectiveness of the seismic inversion method is judged by utilizing the correlation between the reservoir model explained based on the seismic inversion result and the reservoir model of the fracture-vug reservoir, the effectiveness of the seismic inversion method of the fracture-vug reservoir can be judged more accurately, and the method plays an important role in more accurate understanding of the carbonate fracture-vug reservoir.

Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas exploration seismic reservoir prediction, and in particular to a method and system for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir. Background Art

[0002] Seismic inversion refers to the process of modeling and solving the spatial structure and physical properties of underground rock formations by using observed seismic data and known geological laws of underground media, with logging data as constraints. The purpose of seismic inversion is to combine known well point information with seismic data to provide more underground geological information for oilfield workers. Only through the inversion of seismic data can the spatial quantitative study of reservoirs and oil reservoirs become possible. Common seismic inversion methods include recursive inversion, model-based inversion and seismic attribute inversion. The quality of seismic inversion results is related to many factors, such as the quality of well data, the accuracy of structural interpretation, the matching degree of wavelets, the accuracy of synthetic seismic record calibration, etc. These factors that affect the quality of inversion results are encountered in the specific inversion process, and these factors have relatively mature quality control methods for quality control. However, in addition to these factors that affect the quality of inversion results encountered in the specific seismic inversion process, the effectiveness of the seismic inversion method itself for carbonate fracture-cave reservoirs in the study area is also an important factor that determines the quality of the inversion results.

[0003] Affected by factors such as structure, karst, and paleogeographic environment, carbonate fracture-cave reservoirs have the following characteristics: uniform and dense rock matrix, low porosity, poor permeability, extremely uneven spatial distribution of fractures and caves, and different filling states and properties in fractures and caves. Due to the particularity of carbonate fracture-cave reservoirs, the accuracy of reservoir prediction has always been low, so it is urgent to study the applicability and effectiveness of seismic inversion technology in carbonate fracture-cave reservoirs. For the effectiveness judgment of seismic inversion methods for fracture-cave reservoirs, the current technical solution is mainly to judge the effectiveness of seismic inversion methods by comparing the inversion results based on forward simulation data with the inversion results of actual seismic data. First, a forward model is designed based on geological knowledge, and forward simulation is performed on the basis of the forward model to obtain seismic forward simulation data. Then, seismic inversion is performed on the seismic forward simulation data and the actual seismic data, and the correlation between the two seismic inversion results is compared to judge the effectiveness of the seismic inversion method. Since the actual underground geological conditions reflected by the actual seismic data are unknown, it is inaccurate to judge the effectiveness of the inversion method by directly comparing the correlation between the inversion results of the forward simulation data and the inversion results of the actual seismic data, and it cannot achieve a more accurate judgment on the effectiveness of the seismic inversion method for fracture-cavity reservoirs. Summary of the invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a method and system for judging the effectiveness of a seismic inversion method for a fracture-cavity reservoir. By comparing the correlation between a reservoir model obtained by seismic inversion and interpretation based on seismic forward simulation data and an originally designed reservoir model, the effectiveness of the seismic inversion method is judged. The effectiveness of the seismic inversion method for a fracture-cavity reservoir can be judged more accurately. The method is more accurate and reliable, and plays an important role in more accurately understanding carbonate fracture-cavity reservoirs.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir, the specific steps of which are as follows:

[0006] S1 Establish a reservoir model for the fracture-cavity reservoir in the research area, and establish a longitudinal wave impedance model based on the reservoir model of the fracture-cavity reservoir and the range of longitudinal wave impedance values ​​of the fracture-cavity reservoir;

[0007] S2 uses the seismic data of the research area to perform convolution forward modeling on the P-wave impedance model of the fracture-cavity reservoir to obtain a seismic forward modeling data volume, performs seismic inversion on the seismic forward modeling data volume to obtain a P-wave impedance volume, and uses the P-wave impedance value range of the fracture-cavity reservoir in S1 to interpret the P-wave impedance volume, and obtains a reservoir model interpreted based on the seismic inversion results;

[0008] S3 uses the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 to judge the effectiveness of the seismic inversion method.

[0009] Furthermore, in S1, the reservoir model is constructed based on field geological outcrops of typical fracture-cavity reservoirs and seismic data of the research area.

[0010] Furthermore, in S1, the reservoir model includes models of cave reservoirs, fracture-pore reservoirs and non-reservoir reservoirs.

[0011] Furthermore, in S1, the range of P-wave impedance values ​​of fracture-cavity reservoirs is determined based on the well logging data of the study area.

[0012] Furthermore, in S2, the convolution forward modeling uses a 0-phase Ricker wavelet, and the main frequency of the 0-phase Ricker wavelet is the main frequency of the seismic data in the study area.

[0013] Furthermore, in S2, the seismic inversion method includes post-stack sparse pulse inversion, post-stack geostatistical inversion, least squares inversion or nonlinear inversion.

[0014] Furthermore, in S3, when the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 is ≥0.8, it means that the seismic inversion method is effective; when the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 is <0.8, it means that the seismic inversion method is invalid.

[0015] The present invention also provides a system for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir, comprising:

[0016] The model building module is used to build a reservoir model of the fracture-cavity reservoir in the research area, and to build a longitudinal wave impedance model based on the reservoir model of the fracture-cavity reservoir and the longitudinal wave impedance value range of the fracture-cavity reservoir;

[0017] The inversion interpretation module is used to perform convolution forward modeling and seismic inversion on the P-wave impedance model of the fracture-cavity reservoir to obtain a P-wave impedance body, and interpret the P-wave impedance body using the P-wave impedance value range of the fracture-cavity reservoir to obtain a reservoir model interpreted based on the seismic inversion results;

[0018] The validity judgment module is used to judge the validity of the seismic inversion method by using the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of the fracture-cavity reservoir in the research area.

[0019] The present invention provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the above method when executing the computer program, or implements the functions of each module in the above system when executing the computer program.

[0020] The present invention provides a computer-readable medium, in which a computer program is stored. When the computer program is executed by a processor, the steps in the above method are implemented.

[0021] Compared with the prior art, the present invention has at least the following beneficial effects:

[0022] The present invention provides a method for judging the effectiveness of a seismic inversion method for a fracture-cavity reservoir, establishes a reservoir model of a fracture-cavity reservoir in a research area, assigns a longitudinal wave impedance value range of the fracture-cavity reservoir to the reservoir model of the fracture-cavity reservoir in the research area, establishes a longitudinal wave impedance model, and the data source is authentic and reliable, so the longitudinal wave impedance model of the fracture-cavity reservoir obtained is more in line with reality, and the seismic forward modeling data body obtained based on the longitudinal wave impedance model is also more reliable; the longitudinal wave impedance model of the fracture-cavity reservoir is convoluted forward modeled and seismic inversion is performed to obtain a longitudinal wave impedance body, and the longitudinal wave impedance body obtained by seismic inversion is interpreted using the longitudinal wave impedance value range of the fracture-cavity reservoir, so as to obtain a reservoir model interpreted based on the seismic inversion result, and the reservoir model can be more conveniently compared with the original design The effectiveness of the seismic inversion method itself is judged by comparing the reservoir model of the original design with the reservoir model of the original design. Since the reservoir model of the original design is known, and the seismic forward simulation data is obtained on the basis of the reservoir model of the original design, and the seismic inversion is done on the basis of the seismic forward simulation data, the reservoir model interpreted based on the seismic inversion results is compared with the reservoir model of the original design. If the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of the original design is high, it proves that the seismic inversion method is more suitable for carbonate fracture-cavity reservoirs; if the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of the original design is low, it proves that the inversion method is not suitable for carbonate fracture-cavity reservoirs. This method can intuitively and more finely judge the effectiveness of the seismic inversion method for carbonate fracture-cavity reservoirs.

[0023] Furthermore, the present invention designs a reservoir model of a fracture-cavity type reservoir including a cave type reservoir and a fracture-cavity type reservoir based on typical field geological outcrops and seismic data, and the reservoir model is more practical and more precise;

[0024] Furthermore, the present invention assigns the longitudinal wave impedance of the cave-type reservoir, fracture-hole reservoir and non-reservoir determined by the well logging data of the research area to the reservoir model, and obtains the longitudinal wave impedance model of the fracture-hole reservoir. The data source is authentic and reliable, so the longitudinal wave impedance model of the fracture-hole reservoir obtained is more in line with reality.

[0025] Furthermore, based on the longitudinal wave impedance model of the fracture-cavity reservoir, the present invention uses a 0-phase Ricker wavelet with the main frequency of the earthquake in the research area for convolution forward modeling to obtain a seismic forward modeling data body. The seismic forward modeling data body has the main frequency of the actual seismic data, which can better reflect the main frequency characteristics of the actual seismic data, and the obtained forward modeling simulation data is closer to reality.

[0026] Furthermore, the present invention performs a seismic inversion by a certain method on the basis of the obtained seismic forward modeling data body, and obtains a longitudinal wave impedance body obtained by seismic inversion. The longitudinal wave impedance of cave-type reservoirs, fracture-pore type reservoirs and non-reservoir layers determined by logging data is then used to interpret the longitudinal wave impedance body obtained by seismic inversion, and a reservoir model interpreted based on the seismic inversion results is obtained. The reservoir model can be more conveniently compared with the originally designed reservoir model to determine the effectiveness of the seismic inversion method itself. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is the field geological outcrop of fracture-vuggy reservoir and the actual seismic data of the research area.

[0028] Figure 2 This is the reservoir model diagram of the originally designed fracture-cavity reservoir.

[0029] Figure 3 The longitudinal wave impedance distribution diagram of cave reservoirs, fracture-hole reservoirs and non-reservoir layers obtained by analyzing the well logging data in the research area.

[0030] Figure 4 This is the longitudinal wave impedance model diagram of the fracture-cavity reservoir.

[0031] Figure 5 It is a 0-phase Ricker wavelet with the main frequency of earthquakes in the study area.

[0032] Figure 6 It is the earthquake forward modeling data volume.

[0033] Figure 7 This is the longitudinal wave impedance volume diagram derived from seismic inversion.

[0034] Figure 8 Based on the seismic inversion results Figure 3 The reservoir model diagram obtained by interpreting the longitudinal wave impedance range of cave-type reservoirs, fracture-pore-type reservoirs, and non-reservoir reservoirs.

[0035] Fig. 9 The present invention is a flow chart of a method for determining the effectiveness of a seismic inversion method for fracture-cavity reservoirs. DETAILED DESCRIPTION

[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0037] like Fig. 9 As shown, the present invention proposes a method for judging the effectiveness of a seismic inversion method for a fracture-cavity reservoir, and the specific steps are as follows:

[0038] Step 1: Construct a reservoir model of fracture-cavity reservoirs including cave-type reservoirs and fracture-cavity reservoirs based on typical field geological outcrops and seismic data;

[0039] Step 2: assign the P-wave impedance of the cave reservoir, fracture-cavity reservoir and non-reservoir determined by the well logging data of the research area to the reservoir model designed in step 1, thereby obtaining a P-wave impedance model of the fracture-cavity reservoir including the cave reservoir and fracture-cavity reservoir;

[0040] Step 3: Perform convolution forward modeling on the obtained P-wave impedance model of the fracture-cavity reservoir, and use the 0-phase Ricker wavelet with the main frequency of the earthquake in the research area as the wavelet to obtain the seismic forward modeling data volume;

[0041] Step 4: Commonly used seismic inversion methods include post-stack sparse pulse inversion, post-stack geostatistical inversion, least square inversion, nonlinear inversion, etc. Select one of them to perform seismic inversion on the obtained seismic forward modeling data volume to obtain the longitudinal wave impedance volume obtained by seismic inversion;

[0042] Step 5: Use the P-wave impedance of cave reservoirs, fracture-cavity reservoirs and non-reservoir layers determined by the well logging data in the study area in step 2 to interpret the P-wave impedance body obtained by seismic inversion, thereby obtaining a reservoir model interpreted based on the seismic inversion results;

[0043] Step 6: Compare the reservoir model interpreted based on the seismic inversion results with the reservoir model of step 1. If the correlation between the reservoir model interpreted based on the seismic inversion results and the originally designed reservoir model is high, that is, the correlation is ≥ 0.8, it proves that the seismic inversion method is more suitable for fracture-cavity reservoirs; if the correlation between the reservoir model interpreted based on the seismic inversion results and the originally designed reservoir model is low, that is, the correlation is < 0.8, it proves that the seismic inversion method is not suitable for fracture-cavity reservoirs.

[0044] Through the above specific steps, the effectiveness of the seismic inversion method for fracture-cavity reservoirs has been determined. Since the original designed reservoir model is known, and the seismic forward simulation data is obtained on the basis of the original designed reservoir model, and the seismic inversion is done on the basis of the seismic forward simulation data, the effectiveness of the seismic inversion method is determined by comparing the reservoir model obtained based on the seismic inversion results and the reservoir model originally designed. The method is more accurate and reliable, and can better reflect the actual underground carbonate fracture-cavity reservoir situation, which is more helpful for actual production.

[0045] The present invention also provides a system for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir, comprising:

[0046] The model building module is used to build a reservoir model of the fracture-cavity reservoir in the research area, and to build a longitudinal wave impedance model based on the reservoir model of the fracture-cavity reservoir and the longitudinal wave impedance value range of the fracture-cavity reservoir;

[0047] The inversion interpretation module is used to perform convolution forward modeling and seismic inversion on the P-wave impedance model of the fracture-cavity reservoir to obtain a P-wave impedance body, and interpret the P-wave impedance body using the P-wave impedance value range of the fracture-cavity reservoir to obtain a reservoir model interpreted based on the seismic inversion results;

[0048] The validity judgment module is used to judge the validity of the seismic inversion method by using the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of the fracture-cavity reservoir in the research area.

[0049] The present invention also provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above method are implemented, or when the processor executes the computer program, the functions of each module in the above system are implemented.

[0050] The above-mentioned computer program may be divided into one or more modules, one or more modules are stored in the above-mentioned memory and executed by the processor to complete the present invention.

[0051] The terminal device can be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server.

[0052] The terminal device may include, but is not limited to, a processor and a memory.

[0053] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0054] The memory can be used to store the above-mentioned computer programs and / or modules, and the processor implements various functions of the above-mentioned terminal device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory.

[0055] If the module integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0056] Based on such understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the above method steps when executed by a processor. Among them, the above computer program includes computer program code, and the above computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0057] The above-mentioned computer-readable medium may include: any entity or device capable of carrying the above-mentioned computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the above-mentioned computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0058] Example 1

[0059] 1) If Figure 1 As shown in Figure 2, based on the field geological outcrops of typical fracture-cavity reservoirs and the seismic data of the research area, a reservoir model including cave reservoirs, fracture-cavity reservoirs and non-reservoir fracture-cavity reservoirs was designed, as shown in Figure 2. Figure 2 As shown in the figure, the designed reservoir model of fracture-cavity reservoir is more realistic and more detailed, including both cave reservoirs and fracture-cavity reservoirs and non-reservoir layers.

[0060] 2) Use logging data to determine the distribution range of P-wave impedance of cave reservoirs, fracture-cavity reservoirs and non-reservoir reservoirs, such as Figure 3 As shown in the figure, it can be seen that the longitudinal wave impedance value of the cave reservoir is 1.14*10 7 kg / m 3 *m / s and 1.39*10 7 kg / m 3 *m / s, the longitudinal wave impedance of the fracture-cavity reservoir is 1.39*10 7 kg / m 3 *m / s and 1.7*10 7 kg / m 3 *m / s, and the non-reservoir P-wave impedance is between 1.7*10 7 kg / m 3 *m / s and 1.94*10 7 kg / m 3 *m / s.

[0061] 3) The P-wave impedance value range of the cave reservoir, fracture-pore reservoir and non-reservoir is assigned to the designed fracture-cavity reservoir reservoir model, and the P-wave impedance model of the fracture-cavity reservoir including the cave reservoir, fracture-pore reservoir and non-reservoir is obtained, such as Figure 4 shown.

[0062] 4) Perform spectrum analysis near the target layer of the seismic data in the study area to determine the main frequency of the seismic data. This main frequency can be used as the main frequency of the 0-phase Ricker wavelet, thereby obtaining the 0-phase Ricker wavelet with the main frequency of the seismic in the study area. The analysis shows that the main frequency of the study area is 25Hz, so the main frequency of the 0-phase Ricker wavelet is 25Hz. Figure 5 shown.

[0063] 5) Based on the P-wave impedance model of the fracture-cavity reservoir, the zero-phase Ricker wavelet with the main frequency of the earthquake in the study area is used for convolution forward modeling to obtain the seismic forward modeling data volume, such as Figure 6 shown.

[0064] 6) Based on the seismic forward modeling data volume, post-stack sparse pulse inversion is performed to obtain the longitudinal wave impedance volume obtained by seismic inversion, such as Figure 7 shown.

[0065] 7) Then, the P-wave impedance range determined in step 2 is used to interpret the P-wave impedance body obtained by seismic inversion in step 6, and the reservoir model based on seismic inversion interpretation is obtained, such as Figure 8 As shown, the reservoir model interpreted based on the seismic inversion results and the original designed reservoir model ( Figure 2 ) comparison can clearly and intuitively determine whether the seismic inversion method is suitable for the carbonate fracture-vuggy reservoirs in this area. After comparison, it can be seen that for this block, this inversion method has a better seismic inversion effect for cave-type reservoirs, and a poorer seismic inversion effect for fracture-vuggy reservoirs. The overall morphology and distribution have changed greatly. Through analysis, it is believed that this inversion method can more effectively predict the distribution range of cave-type reservoirs in this area, and the prediction accuracy for fracture-vuggy reservoirs is lower. Through correlation analysis, the overall correlation reaches 0.81, which proves that the post-stack inversion method is more suitable for carbonate fracture-vuggy reservoirs.

[0066] In the validity judgment method of the inversion method of the present invention, since the reservoir model of the original design is known, the reservoir model based on seismic inversion is compared with the reservoir model of the fracture-cavity reservoir of the original design. If the correlation between the reservoir model based on seismic inversion and the reservoir model of the original design is high, that is, the correlation is ≥0.8, it is proved that the seismic inversion method is more suitable for carbonate fracture-cavity reservoirs; if the correlation between the reservoir model based on seismic inversion and the reservoir model of the original design is low, that is, the correlation is <0.8, it is proved that the inversion method is not suitable for carbonate fracture-cavity reservoirs. Through this method, the validity of the seismic inversion method for carbonate fracture-cavity reservoirs can be intuitively and obviously judged.

Claims

1. A method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir, characterized in that: The specific steps are as follows: S1 Establish a reservoir model for the fracture-cavity reservoir in the research area, and establish a longitudinal wave impedance model based on the reservoir model of the fracture-cavity reservoir and the range of longitudinal wave impedance values ​​of the fracture-cavity reservoir; S2 uses the seismic data of the research area to perform convolution forward modeling on the P-wave impedance model of the fracture-cavity reservoir to obtain a seismic forward modeling data volume, performs seismic inversion on the seismic forward modeling data volume to obtain a P-wave impedance volume, and uses the P-wave impedance value range of the fracture-cavity reservoir in S1 to interpret the P-wave impedance volume, and obtains a reservoir model interpreted based on the seismic inversion results; S3 uses the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 to judge the effectiveness of the seismic inversion method.

2. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S1, the reservoir model is constructed based on the field geological outcrops of typical fracture-cavity reservoirs and the seismic data of the research area.

3. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S1, the reservoir model includes models of cave reservoirs, fracture-pore reservoirs and non-reservoir reservoirs.

4. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S1, the range of P-wave impedance values ​​of fracture-cavity reservoirs is determined based on the well logging data of the study area.

5. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S2, the convolution forward modeling adopts 0-phase Ricker wavelet, and the main frequency of the 0-phase Ricker wavelet is the main frequency of the seismic data in the study area.

6. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S2, the seismic inversion method includes post-stack sparse pulse inversion, post-stack geostatistical inversion, least squares inversion or nonlinear inversion.

7. The method for determining the effectiveness of a seismic inversion method for a fracture-cavity reservoir according to claim 1, characterized in that: In S3, when the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 is ≥ 0.8, it indicates that the seismic inversion method is effective; The correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of S1 is < 0.8, indicating that the seismic inversion method is invalid.

8. A system for determining the effectiveness of seismic inversion methods for fracture-cavity reservoirs, characterized in that: include: The model building module is used to build a reservoir model of the fracture-cavity reservoir in the research area, and to build a longitudinal wave impedance model based on the reservoir model of the fracture-cavity reservoir and the longitudinal wave impedance value range of the fracture-cavity reservoir; The inversion interpretation module is used to perform convolution forward modeling and seismic inversion on the P-wave impedance model of the fracture-cavity reservoir to obtain a P-wave impedance body, and interpret the P-wave impedance body using the P-wave impedance value range of the fracture-cavity reservoir to obtain a reservoir model interpreted based on the seismic inversion results; The validity judgment module is used to judge the validity of the seismic inversion method by using the correlation between the reservoir model interpreted based on the seismic inversion results and the reservoir model of the fracture-cavity reservoir in the research area.

9. A terminal device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods of claims 1 to 7 when executing the computer program, or implements the functions of each module in the system of claim 8 when executing the computer program.

10. A computer-readable medium, characterized in that The computer program is stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps in any one of the methods of claims 1 to 7 are implemented.

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