Method and system for implementing seismic-data-free area structural trap based on gravity anomaly

Abstract

The invention relates to a method and system for implementing seismic-data-free area structural trap based on gravity anomaly, and belongs to the technical field of geophysical exploration. The method comprises the steps of obtaining residual gravity anomaly data based on gravity forward modeling analysis of a target stratum and analysis of Bouguer gravity anomaly data; constructing a gravity trap based on geophysical basic information and residual gravity abnormal data identified by the target stratum structure; based on the seismic trap and the gravity trap, establishing a relationship between seismic trap elements and gravity trap elements; and based on the relationship between the seismic trap element and the gravity trap element and the residual gravity anomaly data of the identification area, identifying the structural trap element under the gravity anomaly. According to the method, the residual gravity abnormal data is utilized, recognition of the trap amplitude and / or the trap area in the recognition area under the condition of lack of seismic data is achieved, and accurate basic information is provided for trap evaluation and reserve evaluation of a research area.

Description

Technical Field

[0001] The present invention belongs to the technical field of geophysical exploration, and particularly relates to a method and system for implementing structural traps in seismic data-free areas based on gravity anomalies. Background Technique

[0002] In the early stage of basin exploration and oil and gas prospect evaluation, due to the low overall exploration degree and lack of seismic data, in order to study the basin structural characteristics, gravity, magnetic, and electrical exploration methods are indispensable means, which have the advantages of high efficiency, low investment, quick results, and obvious effects, and have become a favorable supplement and alternative to seismic exploration.

[0003] Gravity exploration, as a traditional geophysical exploration method, is based on the density difference between underground geological bodies and surrounding rock strata. Through data processing methods such as continuation, directional derivative, and filtering, rich geological information is extracted. Since there will be non-uniqueness relying only on a single geophysical data, the commonly used method now is to combine multiple data such as gravity, magnetics, electricity, and seismic. Multiple data verify and complement each other, and can more accurately reveal the underground structural characteristics, effectively reflecting the distribution of geological bodies, the distribution of fault structures, the development of magmatic rocks, and deep structural and other characteristic information. It provides a reliable geophysical basis for aspects such as the geological structure, trap conditions, and reservoir evaluation of oil and gas resources.

[0004] In the Chinese patent with the patent number: CN115598732, it involves a method for identifying buried hill structures based on the integration of gravity, magnetic, electrical, and seismic exploration technologies. The method includes: Step 1, establishing a geological-geophysical model of rocks and strata to clarify the geophysical basis for identifying buried hill structures; Step 2, performing fine processing and inversion of gravity and magnetic data, separating and extracting the gravity and magnetic anomalies of buried hill structures, and inversely obtaining the three-dimensional apparent density body and apparent magnetic susceptibility body of buried hill structures; Step 3, performing fine processing and inversion of electromagnetic data to obtain the apparent resistivity profile in the depth domain; Step 4, performing post-stack seismic processing and gravity-magnetic-electric low-frequency model-constrained inversion to obtain the impedance inversion profile; Step 5, performing mutual verification of gravity, magnetic, electrical, and seismic to implement the buried hill geological target. This method for identifying buried hill structures based on the integration of gravity, magnetic, electrical, and seismic exploration technologies promotes the development of current buried hill oil and gas exploration technologies, gives full play to the advantages of various exploration technologies, improves the identification accuracy and reliability of buried hill geological targets, and provides a geophysical basis for buried hill oil and gas exploration.

[0005] In the Chinese patent with the patent number CN107748399, a method for identifying deep tectonic layers in the piedmont zone by gravity interface inversion is involved. The method includes: preprocessing gravity potential field data to form the basic data before inversion; analyzing the physical property laws of different lithologies and strata in the target area to clarify the physical property basis for density interface inversion; establishing a variable-density physical property model to provide the inversion physical property model; jointly and gradually refining the stripping of gravity and seismic data to improve the accuracy of separating the superimposed field sources; adding well-logging and seismic constraints in the spatial domain, and jointly inverting the skeleton profile to provide interface constraints; carrying out three-dimensional inversion of the gravity density interface to clarify the geological structure attributes of the deep tectonic layers in the piedmont zone. This method effectively depicts the distribution characteristics of the deep target strata in the piedmont zone, provides a geological basis for deep oil and gas exploration in the piedmont zone, and reduces the risk of oil and gas exploration.

[0006] Limitations of existing technical methods: Whether it is the single application of gravity data or the method of fusing gravity, magnetic, electric, and seismic exploration technologies for structure identification, only the tectonically developed areas can be qualitatively determined, the area information of the traps is not accurate enough, and the trap amplitude cannot be determined. Summary of the Invention

[0007] In view of the above problems, the present invention provides a method and system for identifying structural traps by applying gravity anomalies, which can semi-quantitatively and quantitatively predict the trap elements (trap amplitude and trap area) of structural traps.

[0008] The first object of the present invention is to provide a method for identifying structural traps by applying gravity anomalies, including:

[0009] Based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data, the residual gravity anomaly data is obtained;

[0010] Based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data, a gravity trap is constructed;

[0011] Based on the seismic trap and the gravity trap, the relationship between the seismic trap elements and the gravity trap elements is established;

[0012] Based on the relationship between the seismic trap elements and the gravity trap elements and the residual gravity anomaly data in the identification area, the structural trap elements under gravity anomalies are identified.

[0013] In an embodiment of the present invention, the Bouguer gravity anomaly data is obtained by processing the gravity observation data of the study area.

[0014] In an embodiment of the present invention, the step of obtaining the residual gravity anomaly data based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data includes:

[0015] Under the guidance of the forward gravity analysis of the target layer, Fourier transform and radial spectrum analysis are performed on the Bouguer gravity anomaly data to obtain Bouguer gravity anomalies in different frequency bands;

[0016] Based on the Bouguer gravity anomaly data in different frequency bands, residual gravity anomaly data is obtained.

[0017] In the embodiment of the present invention, the acquisition of the geophysical basic information for identifying the structure of the target layer includes:

[0018] Collect the drilling and logging data in the area where the target layer is located and the geophysical test results of the drilling core samples;

[0019] Based on the collected results, the formation thickness, density, and velocity information of the rock are statistically analyzed;

[0020] Based on the statistical results, the geophysical basic information for identifying the structure of the target layer is obtained.

[0021] In the embodiment of the present invention, establishing the relationship between the seismic trap elements and the gravity trap elements based on the seismic trap and the gravity trap includes:

[0022] According to the amplitude information of the seismic trap and the residual gravity anomaly data of the gravity trap, establish the relationship between the seismic trap amplitude and the maximum gravity anomaly in the gravity trap;

[0023] According to the trap area information of the seismic trap and the trap area of the gravity trap, establish the relationship between the trap area of the seismic trap and the trap area of the gravity trap.

[0024] In the embodiment of the present invention, both the amplitude information of the seismic trap and the trap area information of the seismic trap are derived from the seismic trap;

[0025] The structure of the seismic trap includes:

[0026] Collect the geological data, seismic data, and oilfield information in the area where the target layer is located;

[0027] Based on the collected data, identify the structural seismic trap.

[0028] In the embodiment of the present invention, the relationship between the seismic trap amplitude and the maximum gravity anomaly in the gravity trap is shown as follows:

[0029] Y1 = a * X1 + b

[0030] Wherein, Y1 is the structural trap amplitude, X1 is the maximum residual gravity anomaly in the structural trap determined by the residual gravity anomaly, and a and b are constants.

[0031] In the embodiment of the present invention, the relationship between the trap area of the seismic trap and the trap area of the gravity trap is shown as follows:

[0032] Y2 = c * X2 + d

[0033] Wherein, Y2 is the structural trap area, X2 is the area of the structural trap determined by the residual gravity anomaly, and c and d are constants.

[0034] The second object of the present invention is to provide a system for identifying structural traps by applying gravity anomalies.

[0035] The gravity anomaly module is used to obtain residual gravity anomaly data based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data.

[0036] The gravity trap module is used to construct a gravity trap based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data.

[0037] The determination relationship module is used to establish the relationship between seismic trap elements and gravity trap elements based on seismic traps and gravity traps.

[0038] The identification module is used to identify the structural trap elements under gravity anomalies based on the relationship between seismic trap elements and gravity trap elements and the residual gravity anomaly data of the identification area.

[0039] In the embodiment of the present invention, the gravity anomaly module includes a first sub-module and a second sub-module.

[0040] The first sub-module is used to perform Fourier transform and radial wave spectrum analysis on Bouguer gravity anomaly data under the guidance of the forward gravity analysis of the target layer to obtain Bouguer gravity anomalies in different frequency bands.

[0041] The second sub-module is used to obtain residual gravity anomaly data based on Bouguer gravity anomaly data in different frequency bands.

[0042] The third object of the present invention is to provide an electronic device, including: a processor, and the processor is coupled with a memory.

[0043] The memory is used to store a computer program.

[0044] The processor is used to execute the computer program stored in the memory so that the electronic device executes the method as described above.

[0045] The fourth object of the present invention is to provide a computer-readable storage medium, and the computer-readable storage medium stores a program or instruction. When the program or instruction runs on a computer, the computer is enabled to execute the method as described above.

[0046] The beneficial effects of the present invention:

[0047] A method and system for identifying structural traps using gravity anomalies provided by the present invention establish the relationship between seismic trap elements and gravity trap elements based on the seismic traps of the target layer and the gravity traps of the residual gravity anomalies. Based on the relationship between seismic trap elements and gravity trap elements, it realizes the identification of structural trap elements under gravity anomalies, that is, realizes the identification of trap amplitude and / or trap area, and can also complete the identification of the identification area in the case of lack of seismic data, providing relatively accurate basic information for trap evaluation and reserve assessment in the study area.

[0048] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures pointed out in the specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 Shows a flowchart of a method for implementing structural traps in areas without seismic data based on gravity anomalies according to an embodiment of the present invention;

[0051] Figure 2 Shows a Bouguer gravity anomaly data distribution map according to an embodiment of the present invention;

[0052] Figure 3 Shows a gravity forward modeling analysis result map according to an embodiment of the present invention;

[0053] Figure 4 Shows a trap map of the residual gravity anomaly structure and a trap map of the seismic data structure according to an embodiment of the present invention;

[0054] Figure 5 Shows a comparison map of gravity anomalies and seismic data according to an embodiment of the present invention;

[0055] Figure 6 Shows a relationship curve graph between the seismic trap amplitude and the maximum value of the gravity anomaly in the gravity trap according to an embodiment of the present invention;

[0056] Figure 7 Shows a relationship curve graph between the seismic trap area and the gravity trap area according to an embodiment of the present invention;

[0057] Figure 8 Shows the gravity prediction trap distribution map in the area without seismic data according to an embodiment of the present invention;

[0058] Figure 9 Shows the framework diagram of a system for implementing structural traps in the area without seismic data based on gravity anomalies according to an embodiment of the present invention;

[0059] Figure 10 Shows the framework diagram of an electronic device according to an embodiment of the present invention;

[0060] In the figure:

[0061] Gravity anomaly module 1; Gravity trap module 2; Relationship determination module 3; Identification module 4; Electronic device 300; Processor 301; Memory 302. Detailed implementation manners

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0063] As Figure 1 shown, a method for identifying structural traps by applying gravity anomalies according to the present invention includes:

[0064] Step S1: Based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data, obtain the residual gravity anomaly data;

[0065] Step S2: Based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data, construct gravity traps;

[0066] Step S3: Based on the seismic traps and gravity traps, establish the relationship between the seismic trap elements and the gravity trap elements;

[0067] Step S4: Based on the relationship between the seismic trap elements and the gravity trap elements and the residual gravity anomaly data in the identification area, identify the structural trap elements under gravity anomalies.

[0068] In the embodiment of the present invention, the target layer is the middle and shallow layers of the study area, which is determined according to the geological task.

[0069] In step S1, the Bouguer gravity anomaly data is obtained by processing the gravity observation data of the study area. Specifically,

[0070] Based on the gravity observation data in the study area, coordinate system correction, air correction, topographic correction, etc. are carried out to obtain Bouguer gravity anomaly data. The distribution map of the obtained Bouguer gravity anomaly data is as Figure 2 shown ( Figure 2 the black line in Figure 2 is the tectonic zone division line). It can be seen from

[0071] that in step S1, through the forward gravity analysis of the target layer and the analysis of the Bouguer gravity anomaly data, the residual gravity anomaly data is obtained, including:

[0072] Step A1: Under the guidance of the forward gravity analysis of the target layer, Fourier transform and radial wave spectrum analysis are performed on the Bouguer gravity anomaly data to obtain Bouguer gravity anomalies in different frequency bands. Specifically,

[0073] Based on the seismic horizon interpretation results of the target layer, forward gravity analysis is carried out with rock density and formation thickness information to guide the extraction of the residual gravity anomaly of the target layer;

[0074] On the basis of the above forward gravity analysis results (as Figure 3 shown), Fourier transform is applied to the Bouguer gravity anomaly data to transform the spatial domain data to the frequency domain. Through radial wave spectrum analysis, Bouguer gravity anomalies in different frequency bands are intercepted. Figure 3 In Figure 3 a is the forward model diagram, the top surface of the gray formation is the basement formation (the target layer is the formation above the basement), the vertical coordinate is the depth, and the horizontal coordinate is the distance; Figure 3 b in

[0075] is the diagram of the actual Bouguer gravity anomaly (dashed line) and the forward calculated Bouguer gravity anomaly (solid line). The curve close to the middle horizontal line is the difference curve between the two. The vertical coordinate is the Bouguer gravity value, and the horizontal coordinate is the distance.

[0076] In step S2, the acquisition of the geophysical basic information for identifying the target layer structure includes:

[0077] Step B1: Collect the geophysical test results of the drill logging data and drill core samples in the area where the target layer is located;

[0078] Step B2: Based on the collected results, the formation thickness, rock density, and velocity information are statistically analyzed;

[0079] Step B3: Based on the statistical results, the geophysical basic information for identifying the target layer structure is obtained.

[0080] In step S2, based on the geophysical basic information identified from the target layer and the residual gravity anomaly data, a gravity trap is constructed. The obtained gravity trap is as shown in Figure 4 ;

[0081] Correspondingly, based on geological data, seismic data, and oilfield information, a seismic trap is constructed in Figure 4 . The dashed line in Figure 4 is the seismic trap, and the solid line is the gravity trap;

[0082] Specifically, the construction of the seismic trap includes:

[0083] Collect geological data, oilfield information, and seismic data in the area where the target layer is located;

[0084] Identify and construct the seismic trap based on the collected data.

[0085] Based on Figure 4 the seismic trap and the gravity trap, a comparative analysis is carried out. The analysis result diagram is as shown in Figure 5 . The position of the structure developed on the seismic data corresponds to the positive residual gravity anomaly. The corresponding relationship between the two is good. The area of the gravity trap is relatively large, and the positions are relatively consistent on the plane. The accuracy of predicting the trap using the residual gravity anomaly is relatively high.

[0086] In step S4, based on the seismic trap and the gravity trap, establishing the relationship between the elements of the seismic trap and the elements of the gravity trap includes:

[0087] Step D1: According to the amplitude information of the seismic trap and the residual gravity anomaly data of the gravity trap, establish the relationship between the amplitude of the seismic trap and the maximum value of the residual gravity anomaly in the gravity trap;

[0088] Step D2: According to the trap area information of the seismic trap and the trap area of the gravity trap, establish the relationship between the trap area of the seismic trap and the trap area of the gravity trap.

[0089] In step D1 and step D2, both the amplitude information of the seismic trap and the trap area information of the seismic trap are derived from the seismic trap.

[0090] In step D1, the relationship between the amplitude of the seismic trap and the maximum value of the gravity anomaly in the gravity trap is as shown in formula (1):

[0091] Y1 = a * X1 + b (1)

[0092] where Y1 is the amplitude of the constructed trap, X1 is the maximum value of the residual gravity anomaly in the constructed trap determined by the residual gravity anomaly, and a and b are constants.

[0093] In step D2, the relationship between the trap area of the seismic trap and the trap area of the gravity trap is as shown in formula (2):

[0094] Y2 = c * X2 + d (2)

[0095] Wherein, Y2 is the structural trap area, X2 is the area of the structural trap determined by the residual gravity anomaly, and c and d are constants.

[0096] In a specific embodiment of the present invention, a and b in formula (1) are obtained through linear simulation as 2.212 and 119.75 respectively, and formula (1) is determined as formula (3), and the corresponding curve graph is as Figure 6 shown;

[0097] Y1 = 2.212 * X1 + 119.75 (3)

[0098] In formula (3), Y1 is the structural trap amplitude, and X1 is the maximum value in the structural trap determined by the residual gravity anomaly;

[0099] Due to the small amount of seismic data and small coverage area, but relatively reliable, and the gravity anomaly covering the whole area, therefore, for the structural implementation in the area without seismic data, the structural trap amplitude can be predicted according to the gravity anomaly data.

[0100] In a specific embodiment of the present invention, c and d in formula (2) are obtained through linear simulation as 0.61 and 36 respectively, and formula (2) is determined as formula (4), and the corresponding curve graph is as Figure 7 shown:

[0101] Y2 = 0.61 * X2 + 36 (4)

[0102] In formula (4), Y2 is the structural trap area, and X2 is the area of the structural trap determined by the residual gravity anomaly;

[0103] In step S4, based on the relationship between the seismic trap elements and the gravity trap elements and the residual gravity anomaly data of the identification area, identifying the structural trap elements under the gravity anomaly. Specifically, in the area without seismic data, constructing a gravity trap with the corresponding residual gravity anomaly data of the area, counting the maximum value of the residual gravity anomaly in the gravity trap and the trap area of the gravity trap, and then substituting them into formulas (3)-(4) to predict 30 structural traps with an area of 3500 km 2 , wherein, the obtained gravity prediction trap map is as Figure 8 shown ( Figure 8 the solid circles in it are the traps).

[0104] As Figure 9 shown, a system for identifying structural traps using gravity anomalies according to an embodiment of the present invention includes:

[0105] The gravity anomaly module 1 is used to obtain residual gravity anomaly data based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data;

[0106] The gravity trap module 2 is used to construct a gravity trap based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data;

[0107] The determination relationship module 3 is used to establish the relationship between seismic trap elements and gravity trap elements based on seismic traps and gravity traps;

[0108] The identification module 4 is used to identify the structural trap elements under gravity anomalies based on the relationship between seismic trap elements and gravity trap elements and the residual gravity anomaly data of the identification area.

[0109] In some embodiments of the present invention, the gravity anomaly module includes a first sub-module and a second sub-module;

[0110] The first sub-module is used to perform Fourier transform and radial wave spectrum analysis on Bouguer gravity anomaly data under the guidance of the forward gravity analysis of the target layer to obtain Bouguer gravity anomalies in different frequency bands;

[0111] The second sub-module is used to obtain residual gravity anomaly data based on Bouguer gravity anomaly data in different frequency bands.

[0112] As Figure 10 shown, in some embodiments of the present invention, an electronic device is provided. The electronic device 300 includes: a processor 301, and the processor 301 is coupled to a memory 302;

[0113] The memory 302 is used to store a computer program;

[0114] The processor 301 is used to execute the computer program stored in the memory 302 so that the electronic device executes the method described in the above embodiments.

[0115] In some embodiments of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a program or instruction. When the program or instruction runs on a computer, the computer is enabled to execute the method described in the above embodiments.

[0116] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, an electronic device, or a device.

[0117] Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying structural traps by applying gravity anomalies, characterized in that, Including: Based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data, obtaining residual gravity anomaly data; Based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data, constructing a gravity trap; Based on the seismic trap and the gravity trap, establishing the relationship between the seismic trap elements and the gravity trap elements; Based on the relationship between the seismic trap elements and the gravity trap elements and the residual gravity anomaly data of the identified area, identifying the structural trap elements under the gravity anomaly.

2. The method for identifying structural traps by applying gravity anomalies according to claim 1, characterized in that, The Bouguer gravity anomaly data is obtained by processing the gravity observation data of the study area.

3. The method for identifying structural traps by applying gravity anomalies according to claim 1, characterized in that, The obtaining of the residual gravity anomaly data based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data includes: Under the guidance of the forward gravity analysis of the target layer, performing Fourier transform and radial wave spectrum analysis on the Bouguer gravity anomaly data to obtain Bouguer gravity anomalies in different frequency bands; Based on the Bouguer gravity anomaly data in different frequency bands, obtaining the residual gravity anomaly data.

4. The method for identifying structural traps by applying gravity anomalies according to claim 1, characterized in that, The obtaining of the geophysical basic information for identifying the target layer structure includes: Collecting the drilling and logging data of the area where the target layer is located and the geophysical test results of the drilling core samples; Based on the collected results, statistically analyzing the formation thickness, density, and velocity information of the rock; Based on the statistical results, obtaining the geophysical basic information for identifying the target layer structure.

5. The method for identifying structural traps by applying gravity anomalies according to any one of claims 1-4, characterized in that, The establishing of the relationship between the seismic trap elements and the gravity trap elements based on the seismic trap and the gravity trap includes: According to the amplitude information of the seismic trap and the residual gravity anomaly data of the gravity trap, establishing the relationship between the seismic trap amplitude and the maximum gravity anomaly in the gravity trap; According to the trap area information of the seismic trap and the trap area of the gravity trap, establishing the relationship between the trap area of the seismic trap and the trap area of the gravity trap.

6. The method for identifying structural traps by applying gravity anomalies according to claim 5, characterized in that, Both the amplitude information of the seismic trap and the trap area information of the seismic trap are derived from the seismic trap; The structure of the seismic trap includes: Collecting the geological data, seismic data, and oilfield information of the area where the target layer is located; Based on the collected data, identifying the structural seismic trap.

7. The method for identifying structural traps by applying gravity anomalies according to claim 5, characterized in that, The relationship between the seismic trap amplitude and the maximum gravity anomaly in the gravity trap is shown as follows: Y1 = a * X1 + b Where, Y1 is the structural trap amplitude, X1 is the maximum residual gravity anomaly in the structural trap determined by the residual gravity anomaly, and a and b are constants.

8. The method for identifying structural traps by applying gravity anomalies according to claim 5, characterized in that, The relationship between the trap area of the seismic trap and the trap area of the gravity trap is shown as follows: Y2 = c * X2 + d Where, Y2 is the structural trap area, X2 is the area of the structural trap determined by the residual gravity anomaly, and c and d are constants.

9. A system for identifying structural traps by applying gravity anomalies, characterized in that, The gravity anomaly module is used to obtain the residual gravity anomaly data based on the forward gravity analysis of the target layer and the analysis of Bouguer gravity anomaly data; The gravity trap module is used to construct a gravity trap based on the geophysical basic information for identifying the target layer structure and the residual gravity anomaly data; The relationship determination module is used to establish the relationship between the seismic trap elements and the gravity trap elements based on the seismic trap and the gravity trap; The identification module is used to identify the structural trap elements under the gravity anomaly based on the relationship between the seismic trap elements and the gravity trap elements and the residual gravity anomaly data of the identified area.

10. The system for identifying structural traps by applying gravity anomalies according to claim 9, characterized in that, The gravity anomaly module includes a first sub-module and a second sub-module; The first sub-module is used to perform Fourier transform and radial wave spectrum analysis on Bouguer gravity anomaly data under the guidance of forward gravity analysis of the target layer to obtain Bouguer gravity anomalies in different frequency bands; The second sub-module is used to obtain residual gravity anomaly data based on Bouguer gravity anomaly data in different frequency bands.

11. An electronic device, characterized in that, Comprising: A processor, the processor being coupled to a memory; The memory for storing a computer program; The processor for executing the computer program stored in the memory so that the electronic device executes the method according to any one of claims 1 to 8.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program or instructions, and when the program or instructions are run on a computer, the computer executes the method according to any one of claims 1 to 8.

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