Seismic attribute analysis method and device

Abstract

The present invention discloses a seismic attribute analysis method and apparatus. The method comprises: determining various target reservoirs and seismic facies types contained in the target geological region based on drilling seismic data from the target geological region; determining the seismic facies of each target reservoir using seismic facies prediction; and determining seismic attributes controlled by the seismic facies based on the seismic facies of each target reservoir. The present invention classifies reservoirs and seismic facies, predicts the seismic facies of each target reservoir, and ultimately determines seismic attributes controlled by the seismic facies. This method organically combines seismic facies prediction and seismic attribute analysis, reduces the ambiguity of seismic attributes, and improves the accuracy of seismic reservoir prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of petroleum geophysical exploration, and in particular to a seismic attribute analysis method and device. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] In the exploration, development, and evaluation of oil and gas fields, determining reservoir size and calculating reserves requires determining the porosity and thickness of oil and gas reservoirs. Seismic attribute analysis is a key technology for reservoir prediction and has been widely used in oil and gas exploration. As the geological conditions for oil and gas exploration become increasingly complex, the multiplicity of solutions in seismic attribute analysis has become increasingly prominent. Therefore, researchers have proposed attribute analysis methods based on seismic facies control to mitigate this multiplicity.

[0004] Seismic facies is the sum of sedimentary facies as expressed on a seismic profile. It is a seismic feature formed by the sedimentary environment (e.g., marine or continental). It refers to a seismic reflection unit within a given area whose seismic attribute parameters differ from those of adjacent units. It represents the lithologic composition, bedding, and sedimentary characteristics of the sediments that produce its reflections.

[0005] Although attribute analysis based on seismic phase control is currently recognized as an effective method to reduce the ambiguity of earthquake prediction, the current practice is to carry out seismic phase prediction and attribute analysis separately, obtaining seismic phase results and attribute results respectively, without organically combining the two methods. No relevant research has been found in the literature. Summary of the Invention

[0006] An embodiment of the present invention provides a seismic attribute analysis method for improving reservoir prediction accuracy and reducing reservoir prediction ambiguity. The seismic attribute analysis method includes:

[0007] Determine the target reservoirs and seismic facies types contained in the target geological area based on drilling seismic data;

[0008] Determine the seismic facies of various target reservoirs using seismic facies prediction;

[0009] According to the seismic facies of various target reservoirs, the seismic attributes based on seismic facies control are determined.

[0010] An embodiment of the present invention further provides a seismic attribute analysis device for improving reservoir prediction accuracy and reducing reservoir prediction ambiguity. The seismic attribute analysis device includes:

[0011] A classification module is used to determine the target reservoirs and seismic facies types contained in the target geological area based on the drilling seismic data of the target geological area;

[0012] Seismic phase determination module, used to determine the seismic phases of various target reservoirs using seismic phase prediction;

[0013] The seismic attribute determination module is used to determine the seismic attributes based on seismic phase control according to the seismic phases of various target reservoirs.

[0014] An embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned earthquake attribute analysis method when executing the computer program.

[0015] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program for executing the above-mentioned seismic attribute analysis method.

[0016] In an embodiment of the present invention, various target reservoirs and seismic facies types within the target geological region are determined based on drilling seismic data from the target geological region; seismic facies of each target reservoir are determined using seismic facies prediction; and seismic attributes controlled by seismic facies are determined based on the seismic facies of each target reservoir. By classifying reservoirs and seismic facies, the present invention predicts the seismic facies of each target reservoir and ultimately determines seismic attributes controlled by seismic facies. This method organically combines seismic facies prediction and seismic attribute analysis, reduces the ambiguity of seismic attributes, and improves the accuracy of seismic reservoir prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0018] Figure 1 A flowchart of the earthquake attribute analysis method provided in an embodiment of the present invention;

[0019] Figure 2 A flowchart for implementing step 101 in the earthquake attribute analysis method provided in an embodiment of the present invention;

[0020] Figure 2-1 A schematic diagram of seismic facies types in the seismic attribute analysis method provided in an embodiment of the present invention;

[0021] Figure 3 A flowchart for implementing step 102 in the earthquake attribute analysis method provided in an embodiment of the present invention;

[0022] Figure 4A flowchart for implementing step 103 in the earthquake attribute analysis method provided in an embodiment of the present invention;

[0023] Figure 4-1 A schematic diagram of amplitude attributes extracted in the earthquake attribute analysis method provided in an embodiment of the present invention;

[0024] Figure 5 Another implementation flow chart of step 103 in the earthquake attribute analysis method provided in an embodiment of the present invention;

[0025] Figure 6 A module structure diagram of a seismic attribute analysis device provided by an embodiment of the present invention;

[0026] Figure 7 A structural block diagram of the classification module 601 in the earthquake attribute analysis device provided in an embodiment of the present invention;

[0027] Figure 8 A structural block diagram of the seismic phase determination module 602 in the seismic attribute analysis device provided in an embodiment of the present invention;

[0028] Figure 9 A structural block diagram of the earthquake attribute determination module 603 in the earthquake attribute analysis device provided in an embodiment of the present invention;

[0029] Figure 10 This is another structural block diagram of the earthquake attribute determination module 603 in the earthquake attribute analysis device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0031] Figure 1 The implementation process of the earthquake attribute analysis method provided by the embodiment of the present invention is shown. For ease of description, only the part related to the embodiment of the present invention is shown, which is detailed as follows:

[0032] like Figure 1 As shown, the seismic attribute analysis method includes:

[0033] Step 101, determining various target reservoirs and seismic facies types contained in the target geological area based on drilling seismic data of the target geological area;

[0034] Step 102, determining the seismic phases of various target reservoirs using seismic phase prediction;

[0035] Step 103: Determine seismic attributes based on seismic facies control according to the seismic facies of each target reservoir.

[0036] When conducting seismic attribute analysis, we first conduct reservoir analysis based on the drilling seismic data of the target geological area, classify the target reservoirs contained in the target geological area, and determine the various types of target reservoirs; at the same time, based on the drilling seismic data of the target geological area, we study and summarize the seismic phase types (seismic phase patterns) of various target reservoirs, and summarize and determine which seismic phase types are contained in the target geological area.

[0037] Then, the seismic phase prediction technology is used to determine the seismic phases of various target reservoirs in the target geological area. Based on the seismic phases of various target reservoirs, the seismic phase prediction is organically combined with the seismic attribute analysis to determine the seismic attributes controlled by the seismic phase.

[0038] In an embodiment of the present invention, various target reservoirs and seismic facies types within a target geological region are determined based on drilling seismic data from the target geological region; seismic facies of each target reservoir are determined using seismic facies prediction; and seismic attributes controlled by seismic facies are determined based on the seismic facies of each target reservoir. By classifying reservoirs and seismic facies, the present invention predicts the seismic facies of each target reservoir and ultimately determines seismic attributes controlled by seismic facies. This method organically combines seismic facies prediction and seismic attribute analysis, reduces ambiguity in seismic attribute solutions, and improves the accuracy of seismic reservoir prediction.

[0039] Figure 2 The implementation process of step 101 in the earthquake attribute analysis method provided by an embodiment of the present invention is shown. For ease of description, only the part related to the embodiment of the present invention is shown, which is detailed as follows:

[0040] In one embodiment of the present invention, in order to further improve the reservoir prediction accuracy, as Figure 2 As shown, step 101 is to determine various target reservoirs and seismic facies types contained in the target geological area based on drilling seismic data of the target geological area, including:

[0041] Step 201, classifying the target geological area according to reservoir parameters based on drilling seismic data of the target geological area, and determining various target reservoirs contained in the target geological area;

[0042] Step 202: Determine the seismic facies type contained in the target geological area based on the drilling seismic data of the target geological area.

[0043] When determining the various target reservoirs within a target geological region, reservoir analysis is performed on the target geological region using drilling seismic data from the target geological region. The target geological region is classified according to reservoir parameters to determine the various target reservoirs within the target geological region. Reservoir parameters may include reservoir porosity and reservoir thickness, and may also include other reservoir parameters in addition to the aforementioned reservoir porosity and reservoir thickness, such as reservoir lithology and reservoir permeability.

[0044] After determining the various target reservoirs contained in the target geological area, the seismic phases of the various target reservoirs are analyzed using the drilling seismic data of the target geological area, thereby determining (all) seismic phases contained in the target geological area. Figure 2-1 FIG. 4 shows a schematic diagram of a seismic phase model in a seismic attribute analysis method provided by an embodiment of the present invention. Figure 2-1 As shown, the embodiment of the present invention provides three seismic phase modes.

[0045] In an embodiment of the present invention, the target geological area is classified according to the drilling seismic data of the target geological area according to the reservoir parameters, and the various types of target reservoirs contained in the target geological area are determined. The seismic phase types contained in the target geological area are determined according to the drilling seismic data of the target geological area, and the seismic phases of the target reservoir are divided according to the reservoir parameters, which provides a basis for subsequent seismic attribute analysis and further improves the reservoir prediction accuracy.

[0046] Figure 3 The implementation process of step 102 in the earthquake attribute analysis method provided by an embodiment of the present invention is shown. For ease of description, only the part related to the embodiment of the present invention is shown, which is detailed as follows:

[0047] In one embodiment of the present invention, earthquake phase prediction includes waveform classification. In order to improve the accuracy of earthquake phase prediction, Figure 3 As shown, step 102, using seismic phase prediction to determine the seismic phases of various target reservoirs, includes:

[0048] Step 301: Determine the seismic phases of various target reservoirs using waveform classification.

[0049] When predicting the seismic phases of various target reservoirs, waveform classification can be used to predict the seismic phases of various target reservoirs. Those skilled in the art will understand that other seismic phase prediction technologies can also be used to predict the seismic phases of various target reservoirs. The embodiments of the present invention do not impose any special restrictions on this.

[0050] In the embodiment of the present invention, the seismic phases of various target reservoirs are determined by waveform classification, which can improve the accuracy of seismic phase prediction.

[0051] Figure 4The implementation process of step 103 in the earthquake attribute analysis method provided by an embodiment of the present invention is shown. For ease of description, only the part related to the embodiment of the present invention is shown, which is detailed as follows:

[0052] In one embodiment of the present invention, in order to organically combine seismic phase prediction with seismic attribute analysis to improve reservoir prediction accuracy, as shown in FIG. Figure 4 As shown, step 103, according to the seismic phases of various target reservoirs, determines the seismic attributes based on seismic phase control, including:

[0053] Step 401, using seismic forward modeling to determine seismic response changes in various target reservoir seismic phases caused by changes in reservoir parameters;

[0054] Step 402 : extracting seismic attributes reflecting reservoir parameter changes in each target reservoir seismic phase based on seismic response changes in each target reservoir seismic phase.

[0055] When analyzing the seismic attributes of various target reservoirs, seismic forward modeling is first used to determine the seismic response changes in the seismic phases of each target reservoir. These seismic response changes are caused by changes in reservoir parameters, including changes in reservoir porosity and reservoir thickness.

[0056] Then, after determining the seismic response changes of various target reservoirs, the seismic attributes in the seismic phases of various target reservoirs are extracted based on the seismic response changes in the seismic phases of various target reservoirs. The seismic attributes reflect the changes in reservoir parameters (reservoir porosity changes and reservoir thickness changes).

[0057] In an embodiment of the present invention, seismic forward modeling is used to determine the seismic response changes caused by reservoir parameter changes in various target reservoir seismic phases. Based on the seismic response changes in various target reservoir seismic phases, seismic attributes reflecting reservoir parameter changes in various target reservoir seismic phases are extracted. This can organically combine seismic phase prediction with seismic attribute analysis, reduce the multi-solution nature of seismic attribute analysis, and improve reservoir prediction accuracy.

[0058] Figure 4-1 FIG. 4 shows a schematic diagram of amplitude attributes extracted in the earthquake attribute analysis method provided by an embodiment of the present invention, such as Figure 4-1 As shown, for Figure 2-1 In the first seismic phase model, the amplitude value at the bottom of the formation is sensitive to the porosity change, and the amplitude properties of the bottom of the formation are extracted.

[0059] Figure 5 Another implementation flow of step 103 in the earthquake attribute analysis method provided by an embodiment of the present invention is shown. For ease of description, only the portion related to the embodiment of the present invention is shown, which is described in detail as follows:

[0060] In one embodiment of the present invention, in order to further improve the reservoir prediction accuracy, as Figure 3 As shown, step 103, determining the seismic attributes based on seismic phase control according to the seismic phases of various target reservoirs, further includes:

[0061] Step 501 : normalize the seismic attributes of various target reservoir seismic phases according to the energy storage coefficient to determine the seismic attributes controlled by the seismic phases.

[0062] After determining the seismic attributes of each target reservoir facies, to further improve reservoir prediction accuracy, these seismic attributes are normalized to a unified dimension based on the energy storage coefficient, which is the product of reservoir porosity and reservoir thickness. This determines the seismic attributes controlled by the seismic facies.

[0063] In an embodiment of the present invention, the seismic attributes of various target reservoir seismic phases are normalized according to the energy storage coefficient, and the seismic attributes controlled by the seismic phases are determined, which can further improve the reservoir prediction accuracy.

[0064] The present invention also provides an earthquake attribute analysis device, as described in the following embodiments. Since the principles of these devices are similar to those of the earthquake attribute analysis method, the implementation of these devices can refer to the implementation of the method, and the repeated parts will not be repeated.

[0065] Figure 6 The functional modules of the earthquake attribute analysis device provided by the embodiment of the present invention are shown. For ease of description, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0066] refer to Figure 6 The modules included in the earthquake attribute analysis device are used to perform Figure 1 For details of each step in the corresponding embodiment, please refer to Figure 1 as well as Figure 1 In the embodiment of the present invention, the earthquake attribute analysis device includes a classification module 601 , an earthquake phase determination module 602 , and an earthquake attribute determination module 603 .

[0067] The classification module 601 is used to determine various target reservoirs and seismic facies types contained in the target geological area based on the drilling seismic data of the target geological area.

[0068] The seismic phase determination module 602 is used to determine the seismic phases of various target reservoirs using seismic phase prediction.

[0069] The seismic attribute determination module 603 is used to determine seismic attributes based on seismic facies control according to the seismic facies of various target reservoirs.

[0070] In this embodiment of the present invention, classification module 601 determines the target reservoirs and seismic facies types within the target geological region based on drilling seismic data from the target geological region. Seismic facies determination module 602 determines the seismic facies of the target reservoirs using seismic facies prediction. Seismic attribute determination module 603 determines seismic attributes controlled by the seismic facies based on the seismic facies of the target reservoirs. By classifying reservoirs and seismic facies, the present invention predicts the seismic facies of the target reservoirs and ultimately determines seismic attributes controlled by the seismic facies. This method organically combines seismic facies prediction and seismic attribute analysis, reduces the ambiguity of seismic attributes, and improves the accuracy of seismic reservoir prediction.

[0071] Figure 7 The structure of the classification module 601 in the earthquake attribute analysis device provided by the embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0072] In one embodiment of the present invention, in order to further improve the reservoir prediction accuracy, reference Figure 7 The various units included in the classification module 601 are used to perform Figure 2 For details of each step in the corresponding embodiment, please refer to Figure 2 as well as Figure 2 In the embodiment of the present invention, the classification module 601 includes a reservoir classification unit 701 and a seismic phase classification unit 702 .

[0073] The reservoir classification unit 701 is used to classify the target geological area according to the drilling seismic data of the target geological area and the reservoir parameters, and determine the various target reservoirs contained in the target geological area.

[0074] The seismic facies classification unit 702 is configured to determine the seismic facies type contained in the target geological area based on the drilling seismic data of the target geological area.

[0075] In an embodiment of the present invention, the reservoir classification unit 701 classifies the target geological area according to the drilling seismic data of the target geological area and the reservoir parameters, and determines the various types of target reservoirs contained in the target geological area. The seismic phase classification unit 702 determines the seismic phase types contained in the target geological area according to the drilling seismic data of the target geological area, and divides the seismic phases of the target reservoir by reservoir parameters, providing a basis for subsequent seismic attribute analysis and further improving the reservoir prediction accuracy.

[0076] Figure 8 The structure of the seismic phase determination module 602 in the seismic attribute analysis device provided by an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0077] In one embodiment of the present invention, earthquake phase prediction includes waveform classification. In order to improve the accuracy of earthquake phase prediction, reference Figure 8 The various units included in the seismic phase determination module 602 are used to perform Figure 3 For details of each step in the corresponding embodiment, please refer to Figure 3 as well as Figure 3 In the embodiment of the present invention, the seismic phase determination module 602 includes a seismic phase determination unit 801 .

[0078] The seismic phase determination unit 801 is used to determine the seismic phases of various target reservoirs by using waveform classification.

[0079] In the embodiment of the present invention, the seismic phase determination unit 801 determines the seismic phases of various target reservoirs by using waveform classification, which can improve the accuracy of seismic phase prediction.

[0080] Figure 9 The structure of the earthquake attribute determination module 603 in the earthquake attribute analysis device provided by the embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0081] In one embodiment of the present invention, in order to organically combine seismic phase prediction with seismic attribute analysis and improve reservoir prediction accuracy, reference is made to Figure 9 The various units included in the earthquake attribute determination module 603 are used to perform Figure 4 For details of each step in the corresponding embodiment, please refer to Figure 4 as well as Figure 4 In the embodiment of the present invention, the earthquake attribute determination module 603 includes a response change determination unit 901 and an earthquake attribute extraction unit 902 .

[0082] The response change determination unit 901 is used to determine the seismic response changes caused by reservoir parameter changes in various target reservoir seismic phases by using seismic forward modeling.

[0083] The seismic attribute extraction unit 902 is used to extract seismic attributes reflecting reservoir parameter changes in various target reservoir seismic phases according to the seismic response changes in various target reservoir seismic phases.

[0084] The reservoir parameters include reservoir porosity and reservoir thickness.

[0085] In an embodiment of the present invention, the response change determination unit 901 uses seismic forward modeling to determine the seismic response changes caused by reservoir parameter changes in various target reservoir seismic phases. The seismic attribute extraction unit 902 extracts the seismic attributes reflecting the reservoir parameter changes in various target reservoir seismic phases based on the seismic response changes in various target reservoir seismic phases. This can organically combine seismic phase prediction with seismic attribute analysis, reduce the multi-solution nature of seismic attribute analysis, and improve reservoir prediction accuracy.

[0086] Figure 10 FIG. 6 is another schematic diagram of the structure of the earthquake attribute determination module 603 in the earthquake attribute analysis device provided by an embodiment of the present invention. For ease of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0087] In one embodiment of the present invention, in order to further improve the reservoir prediction accuracy, reference Figure 10 The various units included in the earthquake attribute determination module 603 are used to perform Figure 5 For details of each step in the corresponding embodiment, please refer to Figure 5 as well as Figure 5 In the embodiment of the present invention, the earthquake attribute determination module 603 includes a normalization unit 1001 .

[0088] The normalization unit 1001 is used to normalize the seismic attributes of various target reservoir seismic phases according to the energy storage coefficient, and determine the seismic attributes controlled by the seismic phases.

[0089] In the embodiment of the present invention, the normalization unit 1001 normalizes the seismic attributes of various target reservoir seismic phases according to the energy storage coefficient, and determines the seismic attributes controlled by the seismic phases, which can further improve the reservoir prediction accuracy.

[0090] An embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned earthquake attribute analysis method when executing the computer program.

[0091] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program for executing the above-mentioned seismic attribute analysis method.

[0092] This paper proposes a seismic facies-based attribute analysis method, in which each step and final result have clear physical and geological implications. This method has the potential to address the problem of multiple seismic attributes, each of which is relatively one-sided. In particular, it can fundamentally improve the discrepancies between seismic facies and attribute analysis results, and has significant practical significance for oil and gas exploration.

[0093] Compared with previous research methods, the seismic phase-based attribute analysis method proposed in this invention is the first to clearly divide seismic phases according to reservoir porosity and thickness ranges; it is the first to propose using forward models to analyze the changes in seismic response caused by changes in reservoir porosity and thickness in each seismic phase; it is the first to propose conducting attribute analysis separately in each seismic phase; it is the first to propose using the energy storage coefficient to normalize the attributes of each seismic phase to a unified dimension, and thus obtain seismic attributes based on seismic phase control.

[0094] In summary, in an embodiment of the present invention, various target reservoirs and seismic facies types contained in a target geological region are determined based on drilling seismic data from the target geological region; seismic facies of various target reservoirs are determined using seismic facies prediction; and seismic attributes controlled by seismic facies are determined based on the seismic facies of various target reservoirs. By classifying reservoirs and seismic facies, the present invention predicts the seismic facies of various target reservoirs and ultimately determines seismic attributes controlled by seismic facies. This method organically combines seismic facies prediction and seismic attribute analysis, reduces the ambiguity of seismic attributes, and improves the accuracy of seismic reservoir prediction.

[0095] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1The function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0099] The specific embodiments 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 embodiment 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 analyzing earthquake attributes, characterized in that: include: Determine the target reservoirs and seismic facies types contained in the target geological area based on drilling seismic data; Determine the seismic facies of various target reservoirs using seismic facies prediction; According to the seismic facies of various target reservoirs, determine the seismic attributes based on seismic facies control; Among them, based on the drilling seismic data of the target geological area, the various target reservoirs and seismic facies types contained in the target geological area are determined, including: Based on the drilling seismic data of the target geological area, the target geological area is classified according to reservoir parameters to determine the various target reservoirs contained in the target geological area. Reservoir parameters include reservoir porosity and reservoir thickness; Determine the seismic facies type contained in the target geological area based on drilling seismic data of the target geological area; According to the seismic facies of various target reservoirs, seismic attributes based on seismic facies control are determined, including: Use seismic forward modeling to determine the seismic response changes caused by reservoir parameter changes in various target reservoir seismic phases; According to the changes in seismic responses in various target reservoir seismic phases, seismic attributes reflecting changes in reservoir parameters in various target reservoir seismic phases are extracted.

2. The earthquake attribute analysis method according to claim 1, wherein: Seismic phase prediction includes waveform classification, which is used to determine the seismic phases of various target reservoirs, including: Waveform classification is used to determine the seismic phases of various target reservoirs.

3. The earthquake attribute analysis method according to claim 1, wherein: According to the seismic facies of various target reservoirs, seismic attributes based on seismic facies control are determined, including: The seismic attributes of various target reservoir seismic phases are normalized according to the energy storage coefficient to determine the seismic attributes controlled by the seismic phases.

4. A seismic attribute analysis device, characterized in that: include: A classification module is used to determine the target reservoirs and seismic facies types contained in the target geological area based on the drilling seismic data of the target geological area; Seismic phase determination module, used to determine the seismic phases of various target reservoirs using seismic phase prediction; A seismic attribute determination module is used to determine seismic attributes based on seismic phase control according to the seismic phases of various target reservoirs; Among them, the classification module includes: The reservoir classification unit is used to classify the target geological area according to the drilling seismic data of the target geological area and the reservoir parameters, and determine the various target reservoirs contained in the target geological area. The reservoir parameters include reservoir porosity and reservoir thickness; A seismic facies classification unit is used to determine the seismic facies type contained in the target geological area based on the drilling seismic data of the target geological area; The earthquake attribute determination module includes: a response change determination unit for determining, by using seismic forward modeling, seismic response changes in various target reservoir seismic phases caused by changes in reservoir parameters; The seismic attribute extraction unit is used to extract seismic attributes reflecting reservoir parameter changes in various target reservoir seismic phases based on seismic response changes in various target reservoir seismic phases.

5. The earthquake attribute analysis device according to claim 4, characterized in that: Seismic phase prediction includes waveform classification, and the seismic phase determination module includes: The seismic phase determination unit is used to determine the seismic phases of various target reservoirs by waveform classification.

6. The earthquake attribute analysis device according to claim 4, characterized in that: The earthquake attribute determination module also includes: The normalization unit is used to normalize the seismic attributes of various target reservoir seismic phases according to the energy storage coefficient and determine the seismic attributes based on the seismic phase control.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the seismic attribute analysis method according to any one of claims 1 to 3 is implemented.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the seismic attribute analysis method according to any one of claims 1 to 3 is implemented.

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