A comprehensive prediction method and device for oil and gas targets in an oil and gas basin

Abstract

The present invention provides a comprehensive prediction method and device for oil and gas targets in an oil and gas bearing basin. The method includes: S1, obtaining a distribution map of surface soil gas hydrocarbon anomalies in the target area; S2, obtaining a distribution map of polarizability anomalies of the target horizon in the target area; S3, establishing a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarizability anomalies of the target horizon, and seismic structures; S4, predicting the distribution and spatial location of oil and gas reservoirs in the target area according to the three-dimensional spatial correspondence map. The method provided by the present invention is a three-in-one integrated exploration technology for directly predicting deep oil and gas reservoirs in an oil and gas bearing basin. By studying and analyzing the spatial position relationship and genetic relationship among surface soil gas hydrocarbon (C1-C5) geochemical anomalies, time-frequency electromagnetic target horizon polarizability anomalies, and seismic structures, it comprehensively predicts the distribution range of underground oil and gas reservoirs.

Description

Technical Field

[0001] The present invention relates to a comprehensive prediction method and device for oil and gas targets in an oil and gas basin, and particularly to a comprehensive prediction method and device for oil and gas targets based on surface soil gas hydrocarbons, time-frequency electromagnetic, and seismic exploration information, belonging to the technical field of oil and gas resource exploration. Background Art

[0002] The surface geochemical anomaly of oil and gas is the modern manifestation of the processes of oil and gas generation, migration, accumulation, dissipation, and oxidation in geological history. It is also the final product of the evolutionary process of oil and gas from dispersion (generation, migration) to concentration (accumulation), and then from concentration (accumulation) to dispersion (dissipation, oxidation) and even multiple accumulations and dissipations. Using the surface geochemical anomaly dispersed from the oil and gas reservoir to invert the generation, migration, and accumulation of oil and gas and predict the distribution of underground oil and gas reservoirs is the basis and purpose of surface geochemical exploration of oil and gas.

[0003] Light hydrocarbon components (C1-C5) are direct indicator indexes for the dissipation of underground oil and gas reservoirs. There are two occurrence forms of light hydrocarbon components related to the deep oil and gas dissipation in surface soil, namely adsorbed state and free state. The former is called soil adsorbed hydrocarbons, and the latter is called soil gas hydrocarbons (or free hydrocarbons). Soil gas hydrocarbons tend to reflect the current state of underground oil and gas activities more, while soil adsorbed hydrocarbons are a process of historical accumulation. At present, the analysis methods of soil adsorbed hydrocarbons (such as high-temperature thermal release or acidolysis, etc.) are to some extent interfered by the primary hydrocarbons existing in soil mineral particles, and the anomalies reflected may be the history of oil and gas generation rather than the current real situation. In contrast, the relationship between soil gas hydrocarbon anomalies and deep oil and gas is closer, and their anomalies can more directly reflect the existence of deep oil and gas accumulation. However, traditional soil gas hydrocarbon detection requires packing soil samples and sending them to the laboratory for placement, and only after gas concentration can the light hydrocarbon components be effectively analyzed. In addition to the long exploration cycle, it also destroys the natural state of soil gas in situ, resulting in the loss of soil gas hydrocarbons, air mixing, and pollution during transportation.

[0004] The polarizability (IP) of oil and gas reservoirs is the basis for oil and gas detection by time-frequency electromagnetic method (TFEM). There is an electric double layer between oil, gas, water and solid substances, which is in an equilibrium state without the action of an external electric field. When subjected to an external electric field, polarization will occur, and a discharge effect will be formed after the external electric field disappears, resulting in an induced polarization anomaly. TFEM is a new electromagnetic exploration method excited by a high-power artificial field source. Compared with traditional electromagnetic methods such as spontaneous potential method and induced polarization method, this method can detect the induced polarization anomaly effect caused by the oil and gas reservoir in the deep target layer itself. However, traditional electromagnetic methods are limited by the induced polarization effect generated by the oxidation-derived substances of surface hydrocarbon components, and the detection accuracy of deep oil and gas is low. The significant advantage of TFEM is that it can simultaneously measure the electric component Ex and the magnetic component HZ. However, currently, oil and gas detection usually only measures the electric channel and uses the electric channel data for inversion. Its advantage is fast inversion speed. However, since the geoelectric model of electric channel inversion is relatively macroscopic and the vertical electrical stratification is not fine enough, it affects the inversion accuracy of the polarization rate anomaly and there is a problem of inaccurate geological homing of the polarization anomaly. The magnetic channel inversion is sensitive to low-resistivity thin layers. In practical applications, we found that it has great advantages in terms of the stratification of the electrical structure and has a high degree of stratification fineness. Its disadvantage is that there are errors and poor accuracy in the vertical inversion depth of the geological interface, and constraint conditions need to be added.

[0005] The greatest advantage of seismic exploration is that it can accurately determine the underground structure, stratigraphic distribution, lithological changes and trap targets. Generally, there are many uncertainties in predicting the oil and gas content of underground targets based solely on seismic information (or results); Surface soil gas hydrocarbon (C1-C5) geochemical anomalies indicate the existence of deep oil and gas component accumulation, but cannot determine the layer position and accumulation scale of underground oil and gas accumulation; The time-frequency electromagnetic polarization rate anomaly can reflect the target layer of oil and gas accumulation, and its anomaly intensity reflects the degree of oil and gas accumulation to a certain extent. However, in addition to oil and gas accumulation, the factors causing the polarization rate anomaly also include water and metal minerals enriched in rocks. Therefore, its anomaly has multiple solutions. Surface soil gas hydrocarbon (C1-C5) geochemical anomalies can reduce or eliminate the multiple solutions of the time-frequency electromagnetic polarization rate anomaly.

[0006] Therefore, it has become an urgent technical problem in this field to provide a new comprehensive prediction method and device for oil and gas targets in oil and gas basins based on surface soil gas hydrocarbon, time-frequency electromagnetic and seismic exploration information. Summary of the Invention

[0007] To address the above-mentioned drawbacks and deficiencies, an object of the present invention is to provide a comprehensive prediction method for oil and gas targets in an oil and gas basin. The method provided by the present invention is a trinity integrated exploration technology for directly predicting deep oil and gas reservoirs in an oil and gas basin. By studying and analyzing the spatial position relationship and genetic relationship among surface soil gas hydrocarbon (C1-C5) geochemical anomalies, the polarizability anomalies of the target layer in time-frequency electromagnetic fields, and seismic structures, it comprehensively predicts the distribution range of underground oil and gas reservoirs, improves the ability to comprehensively predict the oil and gas content of underground targets, and effectively reduces the multi-solution problem.

[0008] Another object of the present invention is to provide a comprehensive prediction device for oil and gas targets in an oil and gas basin.

[0009] Yet another object of the present invention is to provide a computer device.

[0010] Still another object of the present invention is to provide a computer-readable storage medium.

[0011] To achieve the above objects, on the one hand, the present invention provides a comprehensive prediction method for oil and gas targets in an oil and gas basin, wherein the comprehensive prediction method for oil and gas targets in an oil and gas basin includes:

[0012] S1. Obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area;

[0013] S2. Obtain the polarizability anomaly distribution map of the target horizon in the target area;

[0014] S3. Establish a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarizability anomalies of the target horizon, and seismic structures;

[0015] S4. Predict the distribution and spatial position of oil and gas reservoirs in the target area according to the three-dimensional spatial correspondence map.

[0016] As a specific embodiment of the above method of the present invention, S1. Obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area, including:

[0017] S11. Obtain the content data of soil gas hydrocarbon components contained in the soil gas at a depth of 2-3 m below the surface of the target area;

[0018] S12. Process and analyze the content data of soil gas hydrocarbon components obtained in S11 to obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area.

[0019] In a specific embodiment of the present invention, S1. Obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area, including the following specific steps:

[0020] Carry out high-density surface soil gas hydrocarbon geochemical area surveys in the target area selected based on seismic data and other information, obtain the content data of soil gas hydrocarbon components contained in the soil gas at a depth of 2-3 m below the surface of the target area, and process and analyze the obtained content data of soil gas hydrocarbon components to obtain the abnormal profile distribution map of surface soil gas hydrocarbons in the target area.

[0021] In a specific embodiment of the present invention, in order to better conduct comprehensive prediction of oil and gas targets in oil and gas basins, after obtaining the abnormal profile distribution map of surface soil gas hydrocarbons in the target area, it can be further combined with the seismic structure of the target area to obtain the superposition analysis map of the abnormal distribution of surface soil gas hydrocarbons and seismic structure in the target area.

[0022] For the detection of surface soil gas hydrocarbons, the existing conventional on-vehicle or manually carried (in mountainous areas) closed mechanical special drilling tools in the art are used to directly collect gas samples at a depth of 2-3 m below the surface. There is no need for concentration, and the on-vehicle high-precision HP gas chromatograph is directly used on-site to analyze the concentration content of soil gas hydrocarbon (C1-C5) components. The gas sample collection method and the soil gas hydrocarbon component content testing method in the present invention change the drawbacks of the traditional soil gas hydrocarbon detection that requires the soil samples to be canned and sent to the laboratory for placement, and the gas can only be analyzed after concentration, avoiding the loss of soil gas, the mixing of air, and the pollution during transportation, improving the reliability of the soil gas hydrocarbon detection data, and shortening the exploration cycle.

[0023] As a specific embodiment of the above method of the present invention, wherein, S2. Obtain the abnormal distribution map of the polarization rate of the target layer in the target area, including:

[0024] S21. Arrange time-frequency electromagnetic profiles through the seismic structure and surface soil gas hydrocarbon anomalies in the target area, and measure the electric channel component and the magnetic channel component simultaneously;

[0025] S22. Respectively perform electric channel electrical inversion and magnetic channel electrical inversion on the data measured and collected in S21 under well-seismic constraints to obtain the electric channel electrical structure layer inversion profile and the magnetic channel electrical structure layer inversion profile;

[0026] S23. Use the magnetic channel electrical structure layer inversion profile as the electrical control model for electric channel polarization rate inversion, and through joint depth domain inversion, obtain the abnormal distribution map of the polarization rate of the target layer.

[0027] In a specific embodiment of the present invention, S2. Obtain the abnormal distribution map of the polarization rate of the target layer in the target area, including the following specific steps:

[0028] In a seismic structural target area with abnormal display of soil gas hydrocarbons (C1-C5), deploy and implement time-frequency electromagnetic sounding profiles, and simultaneously measure the electric component and magnetic component; respectively perform electric component resistivity inversion and magnetic component resistivity inversion on the measured data under well-seismic constraints to obtain the electric component resistivity structure layer inversion profile and the magnetic component resistivity structure layer inversion profile. Use the magnetic component resistivity structure layer inversion profile as the resistivity control model for electric component polarization rate inversion, and through joint depth domain inversion, obtain the polarization rate anomaly distribution map of the target horizon.

[0029] The present invention proposes a polarization rate inversion method for time-frequency electromagnetic electric and magnetic components combined with well-seismic constraints for time-frequency electromagnetic polarization rate inversion. Utilize the advantages that the magnetic component inversion is sensitive to low-resistivity thin layers, has higher longitudinal resistivity resolution, and finer resistivity stratification. By using seismic and drilling logging data to establish an accurate mid-shallow geological structure model for constraining and controlling the resistivity inversion of the magnetic component, improve the depth inversion accuracy of its resistivity interface, thereby obtaining a fine geoelectric structure layer model. Use this fine geoelectric structure layer model for the process control of electric component polarization rate inversion, improve the inversion accuracy of the polarization rate and the geological homing accuracy of the anomaly, and to a large extent overcome the problem that the longitudinal resistivity stratification of the geoelectric model is not fine enough when inversely calculating solely based on electric component data, thus affecting the inversion accuracy of the polarization rate anomaly and inaccurate homing.

[0030] As a specific implementation manner of the above method of the present invention, when there is an obvious correlation between the surface soil gas hydrocarbon anomaly and the deep seismic structure and the target reservoir, and there are polarization rate anomalies with corresponding intensity and scale in the seismic structure and the target reservoir as those in the known oil and gas areas, it is determined that this target area is the oil and gas accumulation horizon, that is, the location of the oil and gas reservoir; when the intensity and scale of the polarization rate anomaly in the target area are lower than the corresponding intensity and scale in the known oil and gas areas, it is determined that the target area does not reach the oil and gas accumulation scale and is not the location of the oil and gas reservoir.

[0031] As a specific implementation manner of the above method of the present invention, S4. Predict the distribution and spatial location of oil and gas reservoirs in the target area according to the three-dimensional space correspondence diagram, including:

[0032] S41. Analyze the relationship between the surface soil gas hydrocarbon anomaly and faults and structural traps to determine whether there is micro-leakage of oil and gas and possible oil and gas accumulation sites;

[0033] S42. Analyze the genetic relationship between the polarization rate anomaly of the target horizon in the target area and the surface soil gas hydrocarbon anomaly, determine the oil and gas or non-oil and gas attributes of the polarization rate anomaly, and judge the degree of oil and gas accumulation in the target horizon of the target area according to the intensity and scale of the polarization rate anomaly of the target horizon in the target area, with reference to the corresponding relationship between the intensity and scale of the polarization rate anomaly in the known oil and gas well areas in the target area or adjacent areas.

[0034] S43. Analyze the relationship between the polarization rate anomaly, structural traps, and target reservoirs, determine the oil and gas-bearing structures and the horizons of oil and gas accumulation, and determine the spatial distribution range of the oil and gas reservoir according to the spatial distribution range of the polarization rate anomaly, and at the same time, in combination with the distribution range of surface soil gas hydrocarbon anomalies.

[0035] On the other hand, the present invention also provides an integrated prediction device for oil and gas targets in an oil and gas basin. Among them, the integrated prediction device for oil and gas targets in the oil and gas basin includes:

[0036] A soil gas hydrocarbon anomaly profile distribution map acquisition module for acquiring the surface soil gas hydrocarbon anomaly profile distribution map of the target area;

[0037] A polarization rate anomaly distribution map acquisition module for acquiring the polarization rate anomaly distribution map of the target horizon in the target area;

[0038] A three-dimensional space correspondence map establishment module for establishing a three-dimensional space correspondence map of surface soil gas hydrocarbon anomalies, polarization rate anomalies of the target horizon, and seismic structures;

[0039] A prediction module for the distribution and spatial position of oil and gas reservoirs in the target area, which is used to predict the distribution and spatial position of oil and gas reservoirs in the target area according to the three-dimensional space correspondence map.

[0040] As a specific embodiment of the above device of the present invention, among them, the soil gas hydrocarbon anomaly profile distribution map acquisition module includes a soil gas hydrocarbon component content data acquisition unit and a soil gas hydrocarbon anomaly profile distribution map acquisition unit;

[0041] The soil gas hydrocarbon component content data acquisition unit is used to acquire the soil gas hydrocarbon component content data of the soil gas contained in the soil at a depth of 2-3 m below the surface of the target area;

[0042] The soil gas hydrocarbon anomaly profile distribution map acquisition unit is used to process and analyze the soil gas hydrocarbon component content data obtained by the soil gas hydrocarbon component content data acquisition unit to obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area.

[0043] As a specific embodiment of the above device of the present invention, among them, the polarization rate anomaly distribution map acquisition module includes a time-frequency electromagnetic profile layout and electric and magnetic component measurement unit, an electric conductivity inversion unit and a magnetic conductivity inversion unit for the electric and magnetic channels, and a target horizon polarization rate anomaly distribution map establishment unit;

[0044] The time-frequency electromagnetic profile layout and electric and magnetic component measurement unit is used to layout the time-frequency electromagnetic profile through the seismic structure and surface soil gas hydrocarbon anomaly in the target area, and measure the electric and magnetic components at the same time;

[0045] The electrical channel resistivity inversion and magnetic channel resistivity inversion units are used to perform electrical channel resistivity inversion and magnetic channel resistivity inversion respectively under well-seismic constraints based on the data collected by the time-frequency electromagnetic profile layout and the electrical channel component and magnetic channel component measurement units, so as to obtain the electrical channel resistivity structure layer inversion profile and the magnetic channel resistivity structure layer inversion profile;

[0046] The target horizon polarization anomaly distribution map establishment unit is used to take the magnetic channel resistivity structure layer inversion profile as the resistivity control model for electrical channel polarization inversion, and obtain the target horizon polarization anomaly distribution map through joint depth domain inversion.

[0047] As a specific embodiment of the above device of the present invention, the oil and gas reservoir distribution and spatial position prediction module in the target area includes a relationship analysis unit for the surface soil gas hydrocarbon anomaly and faults and structural traps, a genetic relationship analysis unit between the polarization anomaly and the surface soil gas hydrocarbon anomaly, and a relationship analysis unit between the polarization anomaly and the structural trap and the target reservoir;

[0048] The relationship analysis unit for the surface soil gas hydrocarbon anomaly and faults and structural traps is used to analyze the relationship between the surface soil gas hydrocarbon anomaly and faults and structural traps to determine whether there is micro-leakage of oil and gas and possible oil and gas accumulation sites;

[0049] The genetic relationship analysis unit between the polarization anomaly and the surface soil gas hydrocarbon anomaly is used to analyze the genetic relationship between the polarization anomaly of the target horizon in the target area and the surface soil gas hydrocarbon anomaly, determine the oil and gas or non-oil and gas attributes of the polarization anomaly, and judge the degree of oil and gas accumulation in the target layer of the target area according to the intensity and scale of the polarization anomaly of the target horizon in the target area with reference to the corresponding relationship between the intensity and scale of the polarization anomaly in the known oil and gas well areas in the target area or adjacent areas;

[0050] The relationship analysis unit between the polarization anomaly and the structural trap and the target reservoir is used to analyze the relationship between the polarization anomaly and the structural trap and the target reservoir, determine the oil and gas-bearing structure and the oil and gas accumulation horizon, and determine the spatial distribution range of the oil and gas reservoir according to the spatial distribution range of the polarization anomaly and in combination with the distribution range of the surface soil gas hydrocarbon anomaly.

[0051] On the other hand, the present invention also provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned comprehensive prediction method for oil and gas targets in oil and gas basins are implemented.

[0052] On yet another hand, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned comprehensive prediction method for oil and gas targets in oil and gas basins are implemented.

[0053] The comprehensive prediction method for oil and gas targets in oil and gas basins provided by the present invention is a comprehensive exploration technology for directly detecting oil and gas reservoirs based on information such as surface soil gas hydrocarbon (C1-C5) geochemical anomalies, time-frequency electromagnetic polarization rate anomalies, and seismic exploration (geological structures). This method can predict the distribution range of underground oil and gas reservoirs, reduce the risk of oil and gas exploration, reduce the ambiguity of geophysical exploration for oil and gas prediction (detection), improve the accuracy of the results of oil and gas prediction for deep trap targets, and increase the success rate of oil and gas exploration. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] 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 use in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0055] Figure 1 It is the specific process flow chart of the comprehensive prediction method for oil and gas targets in oil and gas basins provided by the embodiments of the present invention.

[0056] Figure 2a It is the distribution map of surface soil gas hydrocarbon anomalies in the Shibei area of the Junggar Basin in the specific embodiment of the present invention.

[0057] Figure 2b It is the distribution map of polarization rate anomalies of the target horizon in the Shibei area of the Junggar Basin in the specific embodiment of the present invention.

[0058] Figure 2c It is the seismic profile of the Shibei area of the Junggar Basin in the specific embodiment of the present invention.

[0059] Figure 2d It is the superposition analysis map of surface soil gas hydrocarbon anomalies and seismic structures in the Shibei area of the Junggar Basin in the specific embodiment of the present invention.

[0060] Figure 3 In which, a is the inversion profile of the electrical structure layer of the time-frequency electromagnetic electric channel in the Shibei area, and b is the inversion profile of the electrical structure layer of the time-frequency electromagnetic magnetic channel in the Shibei area.

[0061] Figure 4 It is the three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarization rate anomalies of the target horizon, and seismic structures in the Shibei area of the Junggar Basin in the specific embodiment of the present invention.

[0062] Figure 5a It is the superposition of surface soil gas heavy hydrocarbon (C2-C5) anomalies and seismic structures and the layout map of time-frequency electromagnetic survey lines in a certain work area of the Kuqa Depression in the Tarim Basin in the specific embodiment of the present invention.

[0063] Figure 5bThis is the distribution map of surface soil gas hydrocarbon anomalies in a certain work area of the Kuqa Depression in the Tarim Basin in a specific embodiment of the present invention.

[0064] Figure 5c This is the distribution map of polarization rate anomalies of the target horizon in a certain work area of the Kuqa Depression in the Tarim Basin in a specific embodiment of the present invention.

[0065] Figure 5d This is the seismic profile of a certain work area of the Kuqa Depression in the Tarim Basin in a specific embodiment of the present invention.

[0066] Figure 6 a is the inversion profile of the electrical structure layer of the time-frequency electromagnetic electrical channel in a certain work area of the Kuqa Depression in the Tarim Basin, and b is the inversion profile of the electrical structure layer of the time-frequency electromagnetic magnetic channel in a certain work area of the Kuqa Depression in the Tarim Basin.

[0067] Figure 7 This is the three-dimensional spatial correspondence diagram of surface soil gas hydrocarbon anomalies, polarization rate anomalies of the target horizon, and seismic structures in a certain work area of the Kuqa Depression in the Tarim Basin.

[0068] Figure 8 This is the structural schematic diagram of the oil and gas target comprehensive prediction device for an oil and gas basin provided by an embodiment of the present invention. Specific Embodiments

[0069] In order to have a clearer understanding of the technical features, objectives, and beneficial effects of the present invention, the following detailed description of the technical solutions of the present invention is provided in combination with the following specific embodiments, but it should not be construed as a limitation on the implementable scope of the present invention.

[0070] Figure 1 This is the process flow diagram of the oil and gas target comprehensive prediction method for an oil and gas basin in an embodiment of the present invention. As Figure 1 shown, the method includes:

[0071] S1. Obtain the superposition analysis map of the surface soil gas hydrocarbon anomalies and seismic structures in the target area and the distribution map of the surface soil gas hydrocarbon anomaly profiles;

[0072] S2. Obtain the distribution map of the polarization rate anomalies of the target horizon in the target area;

[0073] S3. Establish a three-dimensional spatial correspondence diagram of the surface soil gas hydrocarbon anomalies, the polarization rate anomalies of the target horizon, and the seismic structures;

[0074] S4. Predict the distribution and spatial location of the oil and gas reservoirs in the target area according to the three-dimensional spatial correspondence diagram.

[0075] In one embodiment, S1. Obtain the superposition analysis map of the surface soil gas hydrocarbon anomalies and seismic structures in the target area and the distribution map of the surface soil gas hydrocarbon anomaly profiles, including:

[0076] S11. Obtain the content data of soil gas hydrocarbons in the soil gas within a depth of 2 - 3 m below the surface of the target area;

[0077] S12. Process and analyze the obtained content data of soil gas hydrocarbons to obtain an overlay analysis map of the abnormal distribution of soil gas hydrocarbons on the surface of the target area and the seismic structure, and a distribution map of the abnormal profile of soil gas hydrocarbons on the surface.

[0078] In one embodiment, S2. Obtain the abnormal distribution map of the polarizability of the target layer in the target area, including:

[0079] S21. Layout time - frequency electromagnetic profiles across the seismic structure and the abnormal soil gas hydrocarbons on the surface of the target area, and simultaneously measure the electric - channel component and the magnetic - channel component;

[0080] S22. Respectively perform electric - channel resistivity inversion and magnetic - channel resistivity inversion on the measured and collected data in S21 under well - seismic constraints to obtain the inversion profile of the electric - channel resistivity structure layer and the inversion profile of the magnetic - channel resistivity structure layer;

[0081] S23. Use the inversion profile of the magnetic - channel resistivity structure layer as the resistivity control model for electric - channel polarizability inversion, and through joint depth - domain inversion, obtain the abnormal distribution map of the polarizability of the target layer.

[0082] In S2, a fine geoelectric structure layer model is established through the joint inversion of magnetic - channel measurement data and well - seismic, which is used for the process control of electric - channel polarizability inversion, improving the inversion accuracy of polarizability and the geological positioning accuracy of anomalies.

[0083] In one embodiment, S4. Predict the distribution and spatial location of oil and gas reservoirs in the target area according to the three - dimensional space correspondence map, including:

[0084] S41. Analyze the relationship between the abnormal soil gas hydrocarbons on the surface and faults and structural traps to determine whether there is micro - leakage of oil and gas and possible oil and gas accumulation sites;

[0085] S42. Analyze the genetic relationship between the abnormal polarizability of the target layer in the target area and the abnormal soil gas hydrocarbons on the surface, determine the oil - gas or non - oil - gas attribute of the polarizability anomaly, and according to the intensity and scale of the abnormal polarizability of the target layer in the target area, refer to the corresponding relationship between the intensity and scale of the abnormal polarizability in the known oil and gas well areas in the target area or adjacent areas, and determine the degree of oil and gas accumulation in the target layer of the target area;

[0086] S43. Analyze the relationship between the polarizability anomaly and the structural trap and the target reservoir, determine the oil - gas - bearing structure and the oil - gas accumulation layer, and according to the spatial distribution range of the polarizability anomaly, and at the same time combine the distribution range of the abnormal soil gas hydrocarbons on the surface, determine the spatial distribution range of the oil and gas reservoir.

[0087] Taking the Shibei area of the Junggar Basin as an example below, the comprehensive prediction method for oil and gas targets in oil - gas - bearing basins provided by the present invention is introduced in detail.

[0088] 1) By using the existing seismic, gravity, magnetic, electrical, drilling, logging and other data in the oil and gas bearing basins, and analyzing the distribution of information such as basement structure, source rock, reservoir-cap rock, faults, structures and stratigraphic-lithologic traps in the study area, the Shibei area in the Junggar Basin was selected as the target area for experimental application;

[0089] 2) According to the seismic exploration structural results, a high-density surface soil gas hydrocarbon geochemical area survey with a 200×200m survey grid was deployed and implemented. Using the existing conventional vehicle-mounted closed mechanical special drilling tools in the field, soil gas at a depth of 2-3m below the surface was collected, and the concentration of soil gas hydrocarbons (C1-C5) was directly analyzed on-site by a vehicle-mounted high-precision HP gas chromatograph (existing conventional equipment). By using the on-site analysis and test data, an overlay analysis map of surface soil gas hydrocarbon anomalies and seismic structures (as shown in Figure 2d shown) and a distribution map of surface soil gas hydrocarbon anomaly profiles (as shown in Figure 2a shown) were obtained through processing and analysis. It can be seen from the figures that large-scale soil gas hydrocarbon anomalies were found near the surface of the Shibei structure, and their distribution range corresponded to the Shibei structure; among them, the seismic profile of the Shibei area in the Junggar Basin is as shown in Figure 2c shown.

[0090] 3) A time-frequency electromagnetic profile was laid out through the Shibei seismic structure and surface soil gas hydrocarbon anomalies, and the electric component Ex and magnetic component HZ were measured simultaneously; using the measured and collected data, electric component electrical inversion and magnetic component electrical inversion were carried out respectively under well-seismic constraints to obtain the corresponding electrical structure inversion profiles, namely the electric component electrical structure layer inversion profile and the magnetic component electrical structure layer inversion profile, as shown in a and b in Figure 3 respectively. It is not difficult to see that compared with the results of the electric component electrical inversion ( Figure 3 a in), the electrical structure stratification of the magnetic component electrical inversion profile is more refined, and the lateral distribution of the electrical layer is continuous and has strong regularity ( Figure 3 b in); taking the electrical structure layer model obtained by the magnetic component electrical inversion as the electrical control model for the electric component polarization rate inversion, through joint depth domain inversion, the polarization rate anomaly distribution of the target horizon was obtained, as shown in Figure 2b shown. It can be seen from Figure 2b that obvious polarization rate anomalies were found in the Triassic reservoir of the Shibei structure, and their distribution range basically coincided with the structural trap range;

[0091] 4) Through the joint analysis of the surface soil gas hydrocarbon anomalies, the polarization rate anomalies of the target horizon and the seismic structure in a three-dimensional space, a three-dimensional spatial correspondence map of the surface soil gas hydrocarbon anomalies, the polarization rate anomalies of the target horizon and the seismic structure was constructed, and the range and horizon of oil and gas accumulation were determined according to the three-dimensional spatial correspondence map (see Figure 4 shown).

[0092] Based on the prediction of the polarization rate anomaly of the target horizon and the distribution characteristics of surface soil gas hydrocarbon anomalies, the Shibei structure is an oil and gas-bearing structure, and the oil and gas accumulate in the Triassic reservoir. The enhancement of the surface soil gas hydrocarbon anomaly above the fault controlled by the structure is not obvious, which is related to the fact that the fault only cuts through the Triassic target horizon and the overlying strata have good sealing properties. The fault on the southwestern side of the structure is both the fault controlling the Carboniferous hydrocarbon source sag and the oil source communication fault;

[0093] 5) According to the above survey results, Well Shibei 1 was deployed and drilled in the Shibei structure (as Figure 2d shown). By testing the Triassic reservoir, a large-scale natural gas flow was obtained, with a daily gas production of 15,293 m 3 / d, and the Triassic gas reservoir in the Shibei structure was discovered, verifying the application effect of the technology of the present invention.

[0094] Next, taking a certain work area in the Kuqa Depression of the Tarim Basin as an example, the comprehensive oil and gas target prediction method provided by the present invention will be introduced in detail.

[0095] Figure 5a is a superimposed map of surface soil gas heavy hydrocarbon (C2-C5) anomalies and seismic structures and a layout map of time-frequency electromagnetic survey lines in a certain work area of the Kuqa Depression of the Tarim Basin, Figure 7 is a three-in-one comprehensive oil and gas prediction analysis map of surface soil gas hydrocarbon - target horizon polarization rate anomaly - seismic structure (i.e., a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, target horizon polarization rate anomalies, and seismic structures). Figure 6 In, a and b are comparison diagrams of the inverted electrical structure layers of the time-frequency electromagnetic electric and magnetic channels in a certain work area of the Kuqa Depression of the Tarim Basin.

[0096] From Figure 5a - Figure 5d and Figure 7 it can be seen that according to the interpretation of faults and structures from seismic data, strong polarization anomalies are distributed in the fault block structure controlled by two thrust faults, with a depth in the Jurassic target horizon, and surface soil gas hydrocarbon anomalies are located obliquely above the structure. High-value anomalies of soil gas hydrocarbon are found near the surface along the up-dip direction of the fault. Due to the dissipation effect along the fault, the soil gas hydrocarbon anomaly is shifted southward relative to the strong polarization anomaly of the target horizon. The existence of surface soil gas hydrocarbon anomalies indicates that there is oil and gas enrichment and micro-leakage in the deep part. The fault provides a convenient channel for micro-leakage. The Jurassic target horizon of the thrust fault block structure with strong polarization anomaly display is predicted to be the oil and gas accumulation horizon, that is, the location of the oil and gas reservoir. The scattered soil gas hydrocarbon anomalies in the north are mainly related to the dissipation of hydrocarbon components caused by the fault cutting through the hydrocarbon source rock. Although there are soil gas hydrocarbon anomaly displays on the surface in the Well M2 area, the polarization anomaly is weak and does not reach the scale of oil and gas accumulation, which is consistent with the drilling situation where only shows were seen in the test of this well.

[0097] From Figure 6As can be seen from a and b, the ability of the time-frequency electromagnetic magnetic track inversion to stratify the electrical structure is significantly better than that of the electrical track inversion. In contrast, the result of the electrical track inversion is relatively macroscopic, while the magnetic track inversion has finer electrical stratification and is more consistent with the electrical logging curve.

[0098] It can be seen that the comprehensive prediction method for oil and gas targets in the oil and gas basin provided by the present invention has been successfully applied in the Shibei area of the Junggar Basin through field data collection and data processing. At the structural location determined by seismic exploration in the Shibei area, obvious surface free hydrocarbon anomalies and polarization rate anomalies in the Triassic target layer were discovered and predicted as oil and gas-bearing structures. Subsequently, Well Shibei 1 was drilled, and through testing, 15,293 m 3 / d of gas was produced per day from the Triassic target layer, verifying the effectiveness of the present invention. In addition, from 2018 to 2019, the method provided by the present invention was popularized and applied in areas such as Misbulake, Tugerming, and the periphery of the Wensu Uplift in the Kuqa Depression of the Tarim Basin, a number of favorable exploration targets were discovered, the prediction results were in good agreement with the known wells, and good geological results were obtained, providing a basis for further exploration and deployment.

[0099] Based on the same inventive concept, the embodiment of the present invention also provides a comprehensive prediction device for oil and gas targets in an oil and gas basin. Since the principle of the device to solve problems is similar to that of the comprehensive prediction method for oil and gas targets in an oil and gas basin, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be elaborated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that can achieve a predetermined function. The device described in the following embodiments is preferably implemented in hardware, but implementation in software or a combination of software and hardware is also possible and contemplated.

[0100] Figure 8 It is a schematic structural diagram of the comprehensive prediction device for oil and gas targets in an oil and gas basin provided by the embodiment of the present invention. As Figure 8 shown, the comprehensive prediction device for oil and gas targets in an oil and gas basin includes:

[0101] A module 1 for obtaining the superposition analysis map of surface soil gas hydrocarbon anomalies and seismic structures and the profile distribution map of surface soil gas hydrocarbon anomalies, which is used to obtain the superposition analysis map of surface soil gas hydrocarbon anomalies and seismic structures and the profile distribution map of surface soil gas hydrocarbon anomalies in the target area;

[0102] A module 2 for obtaining the polarization rate anomaly distribution map, which is used to obtain the polarization rate anomaly distribution map of the target horizon in the target area;

[0103] A module 3 for establishing a three-dimensional spatial correspondence map, which is used to establish a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarization rate anomalies of the target horizon, and seismic structures;

[0104] The target area oil and gas reservoir distribution and spatial position prediction module 4 is used to predict the oil and gas reservoir distribution and spatial position in the target area according to the three-dimensional space correspondence diagram.

[0105] In one embodiment, the soil gas hydrocarbon abnormal distribution and seismic structure superposition analysis map and soil gas hydrocarbon abnormal profile distribution map acquisition module 1 includes a soil gas hydrocarbon component content data acquisition unit and a soil gas hydrocarbon abnormal distribution and seismic structure superposition analysis map and soil gas hydrocarbon abnormal profile distribution map acquisition unit;

[0106] The soil gas hydrocarbon component content data acquisition unit is used to acquire the soil gas hydrocarbon component content data contained in the soil gas at a depth of 2-3 m below the surface of the target area;

[0107] The soil gas hydrocarbon abnormal distribution and seismic structure superposition analysis map and soil gas hydrocarbon abnormal profile distribution map acquisition unit is used to process and analyze the soil gas hydrocarbon component content data obtained by the soil gas hydrocarbon component content data acquisition unit to obtain the soil gas hydrocarbon abnormal distribution and seismic structure superposition analysis map and the surface soil gas hydrocarbon abnormal profile distribution map of the target area.

[0108] In one embodiment, the polarizability anomaly distribution map acquisition module 2 includes a time-frequency electromagnetic profile layout and electric and magnetic component measurement unit, an electric conductivity inversion and magnetic conductivity inversion unit, and a target horizon polarizability anomaly distribution map establishment unit;

[0109] The time-frequency electromagnetic profile layout and electric and magnetic component measurement unit is used to layout the time-frequency electromagnetic profile through the seismic structure and surface soil gas hydrocarbon anomaly in the target area, and measure the electric and magnetic components simultaneously;

[0110] The electric conductivity inversion and magnetic conductivity inversion unit is used to perform electric conductivity inversion and magnetic conductivity inversion respectively under well-seismic constraints according to the data measured and collected by the time-frequency electromagnetic profile layout and electric and magnetic component measurement unit to obtain the electric conductivity structure layer inversion profile and the magnetic conductivity structure layer inversion profile;

[0111] The target horizon polarizability anomaly distribution map establishment unit is used to use the magnetic conductivity structure layer inversion profile as the electric conductivity control model for electric polarizability inversion, and obtain the target horizon polarizability anomaly distribution map through joint depth domain inversion.

[0112] In one embodiment, the target area oil and gas reservoir distribution and spatial position prediction module 4 includes a relationship analysis unit between surface soil gas hydrocarbon anomaly and fracture and structural trap, a genetic relationship analysis unit between polarizability anomaly and surface soil gas hydrocarbon anomaly, and a relationship analysis unit between polarizability anomaly and structural trap and target reservoir;

[0113] The analysis unit for the relationship between surface soil gas hydrocarbon anomalies and faults and structural traps is used to analyze the relationship between surface soil gas hydrocarbon anomalies and faults and structural traps to determine whether there is micro-leakage of oil and gas and possible oil and gas accumulation locations;

[0114] The analysis unit for the genetic relationship between the induced polarization anomaly and the surface soil gas hydrocarbon anomaly is used to analyze the genetic relationship between the induced polarization anomaly and the surface soil gas hydrocarbon anomaly in the target area and target horizon, determine the oil and gas or non-oil and gas attributes of the induced polarization anomaly, and judge the degree of oil and gas accumulation in the target layer of the target area according to the intensity and scale of the induced polarization anomaly in the target area and target horizon, with reference to the corresponding relationship between the intensity and scale of the induced polarization anomaly in the known oil and gas well areas in the target area or adjacent areas;

[0115] The analysis unit for the relationship between the induced polarization anomaly and the structural trap and the target reservoir is used to analyze the relationship between the induced polarization anomaly and the structural trap and the target reservoir, determine the oil and gas-bearing structures and oil and gas accumulation horizons, and determine the spatial distribution range of the oil and gas reservoir according to the spatial distribution range of the induced polarization anomaly and in combination with the distribution range of the surface soil gas hydrocarbon anomaly.

[0116] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the computer program, the steps of the above-mentioned comprehensive prediction method for oil and gas targets in an oil and gas basin are implemented.

[0117] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. Wherein, when the computer program is executed by a processor, the steps of the above-mentioned comprehensive prediction method for oil and gas targets in an oil and gas basin are implemented.

[0118] The comprehensive prediction method for oil and gas targets in an oil and gas basin provided by the embodiment of the present invention is a comprehensive exploration technology for directly detecting oil and gas reservoirs based on information such as surface soil gas hydrocarbon (C1-C5) geochemical anomalies, time-frequency electromagnetic induced polarization anomalies, and seismic exploration (geological structures). This method can predict the distribution range of underground oil and gas reservoirs, reduce the risk of oil and gas exploration, reduce the multi-solution nature of geophysical oil and gas prediction (detection), improve the accuracy of the prediction results of oil and gas in deep traps, and improve the success rate of oil and gas exploration.

[0119] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows 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 the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or blocks.

[0121] These computer program instructions can 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, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that implement the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or blocks.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or blocks.

[0123] As described above, the above are only specific embodiments of the present invention, and the scope of the invention cannot be limited by them. Therefore, the replacement of equivalent components, or equivalent changes and modifications made according to the scope of the patent protection of the present invention, should still fall within the scope covered by this patent. In addition, the technical features in the present invention, between technical features, between technical features and technical inventions, and between technical inventions can be freely combined and used.

Claims

1. A comprehensive prediction method for oil and gas targets in an oil and gas bearing basin, characterized in that, The comprehensive prediction method for oil and gas targets in the oil and gas basin includes: S1. Obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area; S2. Obtain the polarizability anomaly distribution map of the target horizon in the target area; S3. Establish a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarizability anomalies of the target horizon, and seismic structures; S4. Predict the distribution and spatial location of oil and gas reservoirs in the target area according to the three-dimensional spatial correspondence map, including: S41. Analyze the relationship between surface soil gas hydrocarbon anomalies and faults and structural traps to determine whether there is micro-leakage of oil and gas and possible oil and gas accumulation sites; S42. Analyze the genetic relationship between the polarizability anomaly of the target horizon in the target area and the surface soil gas hydrocarbon anomaly, determine the oil and gas or non-oil and gas attributes of the polarizability anomaly, and judge the degree of oil and gas accumulation in the target horizon of the target area according to the intensity and scale of the polarizability anomaly of the target horizon in the target area, with reference to the corresponding relationship between the intensity and scale of the polarizability anomaly in the known oil and gas well areas in the target area or adjacent areas; S43. Analyze the relationship between the polarizability anomaly and the structural trap and the target reservoir, determine the oil and gas-bearing structure and the oil and gas accumulation horizon, and determine the spatial distribution range of the oil and gas reservoir according to the spatial distribution range of the polarizability anomaly and in combination with the distribution range of the surface soil gas hydrocarbon anomaly.

2. The comprehensive prediction method for oil and gas targets in an oil and gas basin according to claim 1, wherein S1. Obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area, including: S11. Obtain the content data of soil gas hydrocarbon components contained in the soil gas at a depth of 2-3 m below the surface of the target area; S12. Process and analyze the content data of soil gas hydrocarbon components obtained in S11 to obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area.

3. The comprehensive prediction method for oil and gas targets in an oil and gas basin according to claim 1, wherein S2. Obtain the polarizability anomaly distribution map of the target horizon in the target area, including: S21. Layout time-frequency electromagnetic profiles through the seismic structures and surface soil gas hydrocarbon anomalies in the target area, and measure the electric component and magnetic component simultaneously; S22. Respectively perform electric component electrical inversion and magnetic component electrical inversion on the data measured and collected in S21 under well-seismic constraints to obtain the electric component electrical structure layer inversion profile and the magnetic component electrical structure layer inversion profile; S23. Use the magnetic component electrical structure layer inversion profile as the electrical control model for the electric component polarizability inversion, and obtain the polarizability anomaly distribution map of the target horizon through joint depth domain inversion.

4. An integrated prediction device for oil and gas targets in an oil and gas basin, characterized in that, The comprehensive prediction device for oil and gas targets in the oil and gas basin includes: The soil gas hydrocarbon anomaly profile distribution map acquisition module is used to obtain the surface soil gas hydrocarbon anomaly profile distribution map of the target area; The polarizability anomaly distribution map acquisition module is used to obtain the polarizability anomaly distribution map of the target horizon in the target area; The three-dimensional spatial correspondence map establishment module is used to establish a three-dimensional spatial correspondence map of surface soil gas hydrocarbon anomalies, polarizability anomalies of the target horizon, and seismic structures; The target area oil and gas reservoir distribution and spatial location prediction module is used to predict the distribution and spatial location of oil and gas reservoirs in the target area according to the three-dimensional spatial correspondence map; among them, the target area oil and gas reservoir distribution and spatial location prediction module includes a relationship analysis unit for the surface soil gas hydrocarbon anomaly and faults and structural traps, a genetic relationship analysis unit for the polarizability anomaly and the surface soil gas hydrocarbon anomaly, and a relationship analysis unit for the polarizability anomaly and the structural trap and the target reservoir; The analysis unit for the relationship between surface soil gas hydrocarbon anomalies, faults, and structural traps is used to analyze the relationship between surface soil gas hydrocarbon anomalies, faults, and structural traps to determine whether there is micro-leakage of oil and gas and possible oil and gas accumulation sites; The genetic relationship analysis unit between the induced polarization anomaly and the surface soil gas hydrocarbon anomaly is used to analyze the genetic relationship between the induced polarization anomaly and the surface soil gas hydrocarbon anomaly in the target area and target horizon, determine the oil and gas or non-oil and gas properties of the induced polarization anomaly, and judge the degree of oil and gas accumulation in the target layer of the target area according to the intensity and scale of the induced polarization anomaly in the target area and target horizon, with reference to the corresponding relationship between the intensity and scale of the induced polarization anomaly in the known oil and gas well areas in the target area or adjacent areas; The analysis unit for the relationship between the induced polarization anomaly, structural traps, and target reservoirs is used to analyze the relationship between the induced polarization anomaly, structural traps, and target reservoirs, determine oil and gas-bearing structures and oil and gas accumulation horizons, and determine the spatial distribution range of oil and gas reservoirs according to the spatial distribution range of the induced polarization anomaly and in combination with the distribution range of the surface soil gas hydrocarbon anomaly; 5. The integrated prediction device for oil and gas targets in an oil and gas basin according to claim 4, wherein, The module for obtaining the profile distribution map of soil gas hydrocarbon anomalies includes a unit for obtaining soil gas hydrocarbon component content data and a unit for obtaining the profile distribution map of soil gas hydrocarbon anomalies; The unit for obtaining soil gas hydrocarbon component content data is used to obtain the content data of soil gas hydrocarbon components contained in the soil gas at a depth of 2-3 m below the surface of the target area; The unit for obtaining the profile distribution map of soil gas hydrocarbon anomalies is used to process and analyze the soil gas hydrocarbon component content data obtained by the unit for obtaining soil gas hydrocarbon component content data to obtain the profile distribution map of surface soil gas hydrocarbon anomalies in the target area; 6. The integrated prediction device for oil and gas targets in an oil and gas basin according to claim 4, wherein, The module for obtaining the induced polarization anomaly distribution map includes a unit for arranging the time-frequency electromagnetic profile and measuring the electric and magnetic track components, a unit for inverting the electric properties of the electric track and the magnetic track, and a unit for establishing the induced polarization anomaly distribution map of the target horizon; The unit for arranging the time-frequency electromagnetic profile and measuring the electric and magnetic track components is used to arrange the time-frequency electromagnetic profile through the seismic structure and surface soil gas hydrocarbon anomalies in the target area and measure the electric and magnetic track components simultaneously; The unit for inverting the electric properties of the electric track and the magnetic track is used to perform electric property inversion of the electric track and magnetic property inversion of the magnetic track respectively under well-seismic constraints according to the data measured and collected by the unit for arranging the time-frequency electromagnetic profile and measuring the electric and magnetic track components to obtain the inversion profile of the electric property structure layer of the electric track and the inversion profile of the magnetic property structure layer of the magnetic track; The unit for establishing the induced polarization anomaly distribution map of the target horizon is used to use the inversion profile of the magnetic property structure layer as the electrical control model for the inversion of the induced polarization of the electric track, and obtain the induced polarization anomaly distribution map of the target horizon through joint inversion in the depth domain; 7. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the comprehensive prediction method for oil and gas targets in an oil and gas basin according to any one of claims 1-3.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the comprehensive prediction method for oil and gas targets in an oil and gas basin according to any one of claims 1-3.

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